Paper Digest: Recent Papers on Autopilot / Self-Driving Car
Paper Digest Team extracted all recent Autopilot / Self-Driving Car related papers on our radar, and generated highlight sentences for them. The results are then sorted by relevance & date. In addition to this ‘static’ page, we also provide a real-time version of this article, which has more coverage and is updated in real time to include the most recent updates on this topic.
Since 2018, Paper Digest has built a foundation of data spanning decades of conferences, journals, and research topics. The platform features a daily digest service that sifts through tens of thousands of new papers, clinical trials, news articles, and community posts, filtering the noise to highlight what matters most to specific interests. Beyond daily updates, dozens of built-in research tools streamline the academic workflow, supporting efficient reading and writing, comprehensive literature reviews, and automated research report generation.
Paper Digest Team
New York City, New York, 10017
team@paperdigest.org
TABLE 1: Paper Digest: Recent Papers on Autopilot / Self-Driving Car
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | Pride and Prejudice: Toward An Information-Theoretic Framework for Mutually Communicative Driver Behavior Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Mixed autonomy driving becomes unsafe and inefficient when autonomous vehicles (AVs) and human-driven vehicles (HVs) misread each other’s intentions. We study this problem as implicit mutual communication in lane changes. |
TINGJUN LI et. al. | arxiv-cs.RO | 2026-06-15 |
| 2 | Explainable Deep Learning-Based Driving Decision Prediction for Autonomous Vehicles Using Grad-CAM Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents an explainable deep learning framework for autonomous driving decision prediction from front-facing road images. |
Arjun Patil Shreyash; Sudesh Sanjay Kadukar; Prasad Ashok Chimane; Sushant Sanjay Zende; | International Scientific Journal of Engineering and … | 2026-06-15 |
| 3 | Self-Driving Negotiator: An Interactive, Verifiable Benchmark for Social Negotiation and Theory of Mind Under Hidden Intent Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This report covers task design, reward and anti-gaming invariants, validated scenarios, non-LLM baselines, and a six-model inference leaderboard. |
Ashutosh Kumar; | arxiv-cs.GT | 2026-06-13 |
| 4 | Mandatory Lane-changing Decision and Control Method Based on Game Theory Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a lane-changing decision and control framework for mandatory lane-changing scenarios based on stage game decision-making. |
Zhe Wang; Xinyi Zhang; Haoze Ren; Liu Yang; | PLOS One | 2026-06-12 |
| 5 | Short-Horizon Position Accuracy of Single-Track Models: Implications for Motion Planning of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Rather than identifying a single best model, this work aims to provide insight into the trade-offs between model complexity, parameterization quality, and positional accuracy for informed model selection in Model Predictive Control applications. |
Aron J. Aertssen; Lars A. T. H. van Alen; Igo J. M. Besselink; Rudolf G. M. Huisman; René M. J. G. van de Molengraft; | arxiv-cs.RO | 2026-06-12 |
| 6 | Multi-Agent Embodied Autonomous Driving: From V2X Information Exchange to Shared World Models Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Autonomous driving is shifting from isolated vehicle intelligence toward multi-agent embodied systems that share perception, infer intent, and coordinate action under uncertainty. This survey examines this transition through the lens of Shared World Models (SWMs): predictive cross-agent representations maintained across vehicles, infrastructure, and other traffic participants. |
SENKANG HU et. al. | arxiv-cs.RO | 2026-06-11 |
| 7 | AEVisionLab: Manipulating In-vehicle Ethernet Networks with All-round Vision Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To this end, we build an embedded system, AEVisionLab , using automotive commercial off-the-shelf (COTS) electronic control units (ECUs) and a workstation. |
Anthony Yeo; Matheus Garbelini; Sai Sathiesh Rajan; Jianying Zhou; Sudipta Chattopadhyay; | ACM Transactions on Embedded Computing Systems | 2026-06-10 |
| 8 | Can Large Language Models Enable Sustainable Driving Behavior? A Study on Large Language Model-Based Eco-Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Most existing studies primarily focus on driving safety, which may inadvertently increase energy consumption. To address this issue, this study explores the use of LLMs as high-level controllers to jointly optimize driving safety and energy efficiency. |
HAOYU WANG et. al. | SAE International Journal of Sustainable Transportation, … | 2026-06-09 |
| 9 | Language-Driven Cost Optimization for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work presents a language-driven framework for adaptive cost design in autonomous driving. |
Diego Martinez-Baselga; Khaled Mustafa; Javier Alonso-Mora; | arxiv-cs.RO | 2026-06-09 |
| 10 | Self-Supervised Relevance Modelling in Autonomous Driving Via Counterfactual Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we propose a novel self-supervised approach based on counterfactual analysis to develop a relevance model – an AI-based tool that quantifies the relevance of objects for an autonomous vehicle. |
Luca Lusvarghi; Javier Gozalvez; Pablo Urbano Hidalgo; | arxiv-cs.RO | 2026-06-09 |
| 11 | Efficient Minimal Solvers for Relative Pose Estimation in Autonomous Driving Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Within this framework, we propose three efficient minimal solvers specifically designed for autonomous vehicles. |
Tao Li; Liang Liu; Jianli Han; Weimin Lv; | arxiv-cs.RO | 2026-06-08 |
| 12 | Uncertainty-Aware Motion Planning for Autonomous Driving in Mixed Traffic Environment Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Treating predicted intends as deterministic states can result in unsafe decisions for autonomous vehicles. To address this problem, we propose Uncertainty-Aware Motion Planning (UAMP), which incorporates uncertainty in human intent prediction for AV decision-making. |
Ming Cheng; Hao Chen; Ziyi Yang; Ziluowen Luo; Senzhang Wang; | arxiv-cs.RO | 2026-06-08 |
| 13 | Re-imagining ISO 26262 in The Age of Autonomous Vehicles: Enhancing Controllability Through Transferability and Predictability Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Predictability is formally defined from human-robot interaction-inspired principles, and a mathematical framework is provided to quantify it. |
CHAITANYA SHINDE et. al. | arxiv-cs.RO | 2026-06-05 |
| 14 | Multimodal Sensor Fusion in Autonomous Vehicles: Technologies, Architectures, and Open Challenges Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This review presents a systematic PRISMA-based analysis of multimodal sensor technologies and fusion architectures applied in autonomous driving, based on 66 peer-reviewed studies published between 2014 and 2025. |
Patrik Viktor; Gabor Kiss; | Sensors | 2026-06-02 |
| 15 | NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While recent reconstruction-based neural simulators offer photorealism, they are fundamentally constrained by their initial captured data and struggle to generalize to highly dynamic or novel scenes. To overcome these limitations, we introduce OmniDreams, a foundation generative world model mid- and post-trained from the Cosmos diffusion model to autoregressively generate action-conditioned videos in real time. |
AARTI BASANT et. al. | arxiv-cs.CV | 2026-06-02 |
| 16 | A Real-time Multimodal Framework for Driver Behavior Recognition Using Transformer and Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a dependable, real-time multimodal driver behavior recognition system that combines RGB video, acoustic signals, and geometric keypoints to improve transportation safety. |
M. A. SAYEDELAHL et. al. | Journal of Big Data | 2026-05-29 |
| 17 | Exploring The Interactions of Factors Influencing Autonomous Vehicle Crash Severity Using Interpretable Machine Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Moreover, the interactive effects among factors influencing crash severity are not fully understood. To address this, this study proposes a crash severity analysis method that accounts for interaction effects. |
XUEKAI WANG et. al. | Transportation Safety and Environment | 2026-05-28 |
| 18 | DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present DriveWAM, a driving world-action model that adapts a pretrained video diffusion transformer into an autoregressive video-action policy. |
CHEN SHI et. al. | arxiv-cs.CV | 2026-05-27 |
| 19 | SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Traditional Deep Reinforcement Learning (DRL) suffers from unsafe random exploration and slow convergence, while Large Language Models (LLMs) demonstrate inherent latency in real-time inference operations. To address these limitations, this paper proposes SARAD, a novel safety-aware hybrid framework that synergizes LLMs and DRL for autonomous driving. |
Kangyu Wu; Peng Cui; Guoxi Chen; Ya Zhang; | arxiv-cs.RO | 2026-05-27 |
| 20 | Physics-Aware 3D Gaussian Editing for Driving Scene Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Moreover, many optimization-based methods require minutes of per-edit refinement, while existing efficient alternatives mainly focus on appearance-level or object-level manipulation rather than physics-aware road irregularity editing. To address these limitations, we propose RoVES, a Road-and-Vehicle Editing System for physics-aware 3D Gaussian editing in driving scenes. |
FENG ZHOU et. al. | arxiv-cs.CV | 2026-05-24 |
| 21 | RS2AD-LiDAR: End-to-End Autonomous Driving LiDAR Data Generation from Roadside Sensor Observations Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, current methods in this category rely on single-vehicle data collection for model training and optimization, which suffers from high acquisition and annotation costs, scarcity of valuable scenarios, and data silos. To address these challenges, we propose RS2AD-LiDAR, a novel framework for reconstructing and generating vehicle-mounted LiDAR data from roadside sensor observations. |
RUNYI HUANG et. al. | arxiv-cs.CV | 2026-05-22 |
| 22 | Newton’s Second Law in Autonomous Vehicle Motion Control Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a detailed study of Newton’s Second Law in autonomous vehicle motion control using Engineering Mechanics principles. |
Prof. Sathe Pooja R Prof. Sathe Pooja R; Bagwan Saad F Bagwan Saad F; Bagwan Affan N Bagwan Affan N; Badhe Sayali N Badhe Sayali N; Badhe Bhagyashri S Badhe Bhagyashri S; | International Journal of Creative and Open Research in … | 2026-05-19 |
| 23 | Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving Under Deployment Perturbations Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we present Bench2Drive-Robust, to our knowledge the first device-centric robustness benchmark for closed-loop end-to-end autonomous driving under realistic deployment perturbations. |
ZHIYUAN ZHANG et. al. | arxiv-cs.RO | 2026-05-18 |
| 24 | KG-ASG: Collision-Knowledge-Guided Closed-Loop Adversarial Scenario Generation With Primary-Support Attribution Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes KG-ASG, a collision-knowledge-guided closed-loop adversarial scenario generation framework with primary-support attribution. |
Cheng Wang; Chen Xiong; Ziwen Wang; Yuchen Zhou; Qiang Liu; | arxiv-cs.RO | 2026-05-17 |
| 25 | Learning Responsibility-Attributed Adversarial Scenarios for Testing Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Here we present CARS (Context-Aware, Responsibility-attributed Scenario generation), a framework that integrates responsibility attribution directly into adversarial scenario generation. |
YIZHUO XIAO et. al. | arxiv-cs.RO | 2026-05-13 |
| 26 | Still Camouflage, Moving Illusion: View-Induced Trajectory Manipulation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In contrast, we show that viewing-angle variation itself can be turned into an attack tool. |
SHUO JU et. al. | arxiv-cs.CR | 2026-05-12 |
| 27 | DRIVE-C: A Controlled Corruption Dataset for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: DRIVE-C is a controlled corruption dataset designed to evaluate visual perception robustness in autonomous driving systems. It is built from real-world forward-facing driving … |
Shiva Aher; | arxiv-cs.CV | 2026-05-10 |
| 28 | Navigating Artificial Intelligence Risk: Investigating Intention to Adopt Driverless Vehicles Through An Extended Technology Acceptance Model Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Weiwei Zhu; Yingwen Jiao; Fangbin Wang; | Transportation Research Part A: Policy and Practice | 2026-05-07 |
| 29 | Beyond Fixed Thresholds and Domain-Specific Benchmarks for Explainable Multi-Task Classification in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The combined contributions of this work provide both methodological advances and practical evaluation tools that can accelerate the development of more reliable, explainable, and culturally-adaptive autonomous driving systems for global deployment. |
Maryam Sadat Hosseini Azad; Shahriar Baradaran Shokouhi; | arxiv-cs.CV | 2026-05-05 |
| 30 | JPAD: Joint Prediction-Planning with Temporal Consistency for End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose the Joint Prediction-Planning Autonomous Driving (JPAD), which integrates trajectory prediction and planning into a unified module. |
S. Dong; C. Zhang; Z. Yin; C. Shan; L. Guo; | icassp | 2026-05-04 |
| 31 | Parking Assistance for Trailer-Truck Transport Vehicles Using Sensor Fusion and Motion Planning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a proposed framework for autonomous truck parking that integrates perception, motion planning, control systems, and infrastructure awareness. |
GEORGE ALENCHERY et. al. | arxiv-cs.RO | 2026-05-04 |
| 32 | Framework for Collaborative Operation of Autonomous Delivery Vehicles Within A Marshaling Yard Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Our orchestrated autonomy solution uses decentralized, dynamic priority scoring of vehicles based on the current status of the marshaling yard to optimally assign vehicles to tasks to increase vehicle throughput. Using a simulated facility with three marshaling yard sizes (small, medium, and large) and three demand levels (low, medium, high), we demonstrated that our orchestration solution increases vehicle throughput above static, isolated autonomy for all combinations of yard size and demand, while reducing facility failures at high demand levels. |
James O’Hara; Karl Wunderlich; Gregory Stevens; | arxiv-cs.RO | 2026-04-30 |
| 33 | PALCAS: A Priority-Aware Intelligent Lane Change Advisory System for Autonomous Vehicles Using Federated Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present a priority-aware intelligent lane change advisory system based on multi-agent federated reinforcement learning, namely PALCAS, for autonomous vehicles (AVs). |
Yassine Ibork; Nhat Ha Nguyen; Myounggyu Won; Lokesh Das; | arxiv-cs.RO | 2026-04-29 |
| 34 | Virtual-real Driver Augmented Reinforcement Learning for Human-like and Personalized Decision-making of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
YINGNAN YE et. al. | Advanced Engineering Informatics | 2026-04-28 |
| 35 | Optimisation of Decision Efficiency for Autonomous Driving at Unsignalised Intersections Based on DRL and GPT Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This framework aims to combine the powerful sequence modelling capability of GPT with the goal-directed optimisation strength of DRL. |
Bojun LIU; | Promet – Traffic&Transportation | 2026-04-28 |
| 36 | FHGT-Net: A Fusion-Hierarchical Graph Trajectory Network for First-Person Perspective Pedestrian Trajectory Prediction in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Against the backdrop of the booming development of autonomous driving technology, to address the problems of insufficient accuracy in long-term prediction and incomplete interaction modeling for pedestrian trajectory prediction from a first-person perspective, this paper proposes the Fusion-Hierarchical Graph Trajectory Network (FHGT-Net). |
Weiqiang Zhao; Shirui Pang; Ning Tang; PingPing Lu; | Journal of Intelligent & Fuzzy Systems: Applications in … | 2026-04-27 |
| 37 | Projected Attainable Speed Space: A Driving Efficiency Metric Connecting Instantaneous Evaluation to Travel Time Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study proposes the Projected Attainable Speed Space (PASS) model, a unified framework for driving efficiency assessment across instantaneous and travel-level analyses by integrating kinematic and spatial traffic information. |
Xiaohua Zhao; Zhaowei Huang; Chen Chen; Haiyi Yang; | arxiv-cs.RO | 2026-04-27 |
| 38 | AI in Autonomous Vehicles: Opportunities, Challenges, and Regulatory Implications Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper provides a comprehensive overview of the principal advantages and opportunities presented by AI-powered autonomous vehicles, examines the critical technical and operational challenges that remain to be resolved, and analyses the regulatory landscape and policy implications associated with their deployment. |
Mayurdhwajsinh Sisodiya; Divya Patel; | INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2026-04-25 |
| 39 | Analysis of Autonomous Vehicle Crash Mechanisms: Exploring with Machine Learning and Association Rules Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study provides valuable insights for planners, transportation engineers, and researchers to enhance mixed traffic safety. |
Ehsan Kohanpour; Seyed Rasoul Davoodi; Khaled Shaaban; | Transportation Research Record: Journal of the … | 2026-04-24 |
| 40 | Dynamic Encryption Based Secure Key Management for Vehicle-to-Vehicle Communication in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Amjad Nsour; Subramaniam Ganesan; | Scientific Reports | 2026-04-24 |
| 41 | Vision-Based Lane Following and Traffic Sign Recognition for Resource-Constrained Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a lightweight vision-based framework that integrates lane detection, lane tracking, and traffic sign recognition for embedded autonomous vehicles. |
Md Tanjemul Islam; Md Rafiul Kabir; | arxiv-cs.CV | 2026-04-23 |
| 42 | SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Cloud-hosted LLM inference for autonomous driving adds round-trip delay and depends on stable connectivity, while purely local edge models struggle under occlusion. We present SwarmDrive, a semantic Vehicle-to-Vehicle (V2V) coordination framework in which nearby vehicles run local Small Language Models (SLMs), share compact intent distributions only when uncertainty is high, and fuse them through event-triggered consensus. |
Anjie Qiu; Donglin Wang; Zexin Fang; Sanket Partani; Hans D. Schotten; | arxiv-cs.RO | 2026-04-22 |
| 43 | DriveVLN: Towards Mapless Vision-and-Language Navigation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: These limitations hinder seamless point-to-point navigation and restrict the broader deployment of the autonomous driving system. To address this challenge, we propose DriveVLN, a new task that extends Vision-and-Language Navigation (VLN) to autonomous driving. |
DONGQIAN GUO et. al. | cvpr | 2026-04-21 |
| 44 | Towards A Systematic Risk Assessment of Deep Neural Network Limitations in Autonomous Driving Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we propose a joint workflow for risk assessment combining the hazard analysis and risk assessment (HARA) following ISO 26262 and threat analysis and risk assessment (TARA) following the ISO/SAE 21434 to identify and analyze risks arising from inherent DNN limitations in AD perception. |
Svetlana Pavlitska; Christopher Gerking; J. Marius Zöllner; | arxiv-cs.CR | 2026-04-21 |
| 45 | DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce DriverGaze360, a large-scale 360$^\circ$ field of view driver attention dataset, containing $\sim$1 million gaze-labeled frames collected from 19 human drivers, enabling comprehensive omnidirectional modeling of driver gaze behavior. |
Shreedhar Govil; Didier Stricker; Jason Rambach; | cvpr | 2026-04-21 |
| 46 | Unposed-to-3D: Learning Simulation-Ready Vehicles from Real-World Images Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we present Unposed-to-3D, a novel framework that learns to reconstruct 3D vehicles from real-world driving images using image-only supervision. |
HONGYUAN LIU et. al. | arxiv-cs.CV | 2026-04-21 |
| 47 | A SOTIF-Oriented Framework for Safety Assessment in Autonomous Vehicles Using Integrated Fault Tree and Bayesian Network Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While traditional Fault Tree Analysis (FTA) provides a systematic framework for identifying failure pathways, it does not account for the dynamic dependencies and uncertainties inherent in real-world driving scenarios. To overcome these limitations, this paper proposes an integrated methodology that combines FTA with BN from the perspective of the Safety of the Intended Functionality (SOTIF). |
Lansu Dai; Burak Kantarci; | ACM Journal on Autonomous Transportation Systems | 2026-04-17 |
| 48 | Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Road traffic accidents are a leading cause of fatalities worldwide. In the US, human error causes 94% of crashes, resulting in excess of 7,000 pedestrian fatalities and $500 … |
Shathushan Sivashangaran; Vihaan Dutta; Apoorva Khairnar; Sepideh Gohari; Azim Eskandarian; | arxiv-cs.RO | 2026-04-17 |
| 49 | AD4AD: Benchmarking Visual Anomaly Detection Models for Safer Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Unlike many domains where errors carry limited consequences, failures in autonomous driving translate directly into physical risk for passengers, pedestrians, and other road users. To address this challenge, we explore Visual Anomaly Detection (VAD) as a solution. |
FABRIZIO GENILOTTI et. al. | arxiv-cs.CV | 2026-04-16 |
| 50 | RACF: A Resilient Autonomous Car Framework with Object Distance Correction Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present a Resilient Autonomous Car Framework (RACF) that incorporates an Object Distance Correction Algorithm (ODCA) to improve perception-layer robustness through redundancy and diversity across a depth camera, LiDAR, and physics-based kinematics. |
Chieh Tsai; Hossein Rastgoftar; Salim Hariri; | arxiv-cs.RO | 2026-04-14 |
| 51 | Human Centered Non Intrusive Driver State Modeling Using Personalized Physiological Signals in Real World Automated Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, we examine the feasibility of personalized driver state modeling using non-intrusive physiological sensing during real-world automated driving. |
David Puertas-Ramirez; Raul Fernandez-Matellan; David Martin Gomez; Jesus G. Boticario; | arxiv-cs.HC | 2026-04-13 |
| 52 | MVAdapt: Zero-Shot Multi-Vehicle Adaptation for End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To address it, we propose MVAdapt, a physics-conditioned adaptation framework for multi-vehicle E2E driving. |
Haesung Oh; Jaeheung Park; | arxiv-cs.RO | 2026-04-13 |
| 53 | Traffic Sign Recognition for Autonomous Driving Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work presents a deep-learning-based TSR approach that uses convolutional neural networks to extract meaningful features and classify traffic signs accurately under varying lighting, weather, and occlusion conditions. |
Shaik Nagur Vali Shaik Nagur Vali; B Prasanna B Prasanna; Adithya Kumar Jha Adithya Kumar Jha; SR Manideep SR Manideep; S Likhitha S Likhitha; | International Journal of Creative and Open Research in … | 2026-04-11 |
| 54 | A Data-Driven Sensor Fusion Model for Advanced Driver Assistance Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: There is a strong need for an advanced framework that can integrate multiple data sources, extract meaningful features, and provide reliable predictions. To address these challenges, this study presents a structured framework that combines machine learning models such as Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF) with a hybrid approach, DualStream-ConvRF (DCRF). |
M. Swathi; Banoth Venkatesh; Bathula Hepsiba; Gouda Sai Charan; Ande Pranav Kumar; | International Journal of Data Science and IoT Management … | 2026-04-10 |
| 55 | On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we study how to effectively transfer motion planning knowledge from a large teacher LLM to a smaller, more deployable student model. |
Amirhossein Afsharrad; Amirhesam Abedsoltan; Ahmadreza Moradipari; Sanjay Lall; | arxiv-cs.RO | 2026-04-09 |
| 56 | Self-Discovered Intention-aware Transformer for Multi-modal Vehicle Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, we propose a pure Transformer-based network with multiple modals considering their neighboring vehicles. |
Diyi Liu; Zihan Niu; Tu Xu; Lishan Sun; | arxiv-cs.RO | 2026-04-08 |
| 57 | Adversarial Robustness Analysis of Cloud-Assisted Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, this paradigm introduces cross-layer vulnerabilities, where adversarial manipulation of perception models and network impairments in the vehicle-cloud link can jointly undermine safety-critical autonomy. This paper presents a hardware-in-the-loop IoV testbed that integrates real-time perception, control, and communication to evaluate such vulnerabilities in cloud-assisted autonomous driving. |
Maher Al Islam; Amr S. El-Wakeel; | arxiv-cs.RO | 2026-04-05 |
| 58 | SSLA Based Traffic Sign and Lane Detection for Autonomous Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This project proposes an intelligent system for traffic sign detection and lane detection using a Shape Supervised Learning Algorithm (SSLA). |
V. Ruthvik, S. Tanmayi, V. Bhargavi, Ms. MD Asma; | International Journal of Advanced Research in Science … | 2026-04-02 |
| 59 | Deep Neural Network Based Roadwork Detection for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a real-time system that detects and localizes roadworks by combining a YOLO neural network with LiDAR data. |
Sebastian Wullrich; Nicolai Steinke; Daniel Goehring; | arxiv-cs.RO | 2026-04-02 |
| 60 | Real-time Planning and Control Methods for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper primarily focuses on structured road scenarios and the real-time handling of various dynamic obstacles. |
HAOWEN CHEN et. al. | Proceedings of the Institution of Mechanical Engineers, … | 2026-04-02 |
| 61 | Cross-Vehicle 3D Geometric Consistency for Self-Supervised Surround Depth Estimation on Articulated Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we propose \textbf{ArticuSurDepth}, a self-supervised framework for surround-view depth estimation on articulated vehicles that enhances depth learning through cross-view and cross-vehicle geometric consistency guided by structural priors from vision foundation model. |
Weimin Liu; Jiyuan Qiu; Wenjun Wang; Joshua H. Meng; | arxiv-cs.CV | 2026-04-02 |
| 62 | SST-YOLO: An Improved Autonomous Driving Object Detection Algorithm Based on YOLOv8 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, the performance of such object detectors is limited and cannot be leveraged to satisfy modern autonomous driving systems. To address this issue, we develop an object detection network for autonomous driving scenarios, SST-YOLO, which is based on YOLOv8. |
QINSHENG DU et. al. | Applied Sciences | 2026-04-02 |
| 63 | Rethinking Producer Liability in Autonomous Vehicle Accidents: Civil Law Causation Theories in Indonesia and Kuwait Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Thus, this study emphasizes the urgency of adjusting, reinterpreting, and establishing specific regulations regarding autonomous vehicles that explicitly regulate manufacturer responsibility and clarify the construction of causality, so that legal protection, certainty of the rights and obligations of the parties, are guaranteed as autonomous vehicle technology develops. |
Rama Novtian Ardi; Hamad Al-Fahad; | Batulis Civil Law Review | 2026-03-31 |
| 64 | Sensors in Self-Driving Vehicles: A Detailed Literature Review and New Trends Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The review shows that no single sensor technology can provide reliable perception under all environmental conditions. |
Patrik Viktor; Gabor Kiss; | Sensors | 2026-03-31 |
| 65 | AI-Driven Data Science for Autonomous Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Examples include self-driving cars, smart robots, drones, and intelligent healthcare systems. This paper presents a simple and clear understanding of how AI-driven data science powers autonomous systems, how these technologies are transforming different industries, and what ethical issues we must consider while using them. |
Ankita Naresh Khandekar; | International Journal for Research in Applied Science and … | 2026-03-29 |
| 66 | Buzz Buzz: Haptic Cuing of Road Conditions in Autonomous Cars for Drivers Engaged in Secondary Tasks Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Multiple Resource Theory predicts that using different sensory channels can improve multiple-task performance. |
Shivam Pandey; | arxiv-cs.HC | 2026-03-28 |
| 67 | Autonomous Overtaking Trajectory Optimization Using Reinforcement Learning and Opponent Pose Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a reinforcement learning mechanism for multi-agent autonomous racing environments, enabling overtaking trajectory optimization, based on LiDAR and depth image data. |
Matej Rene Cihlar; Luka Šiktar; Branimir Ćaran; Marko Švaco; | arxiv-cs.RO | 2026-03-28 |
| 68 | Robotics and The Future of Personal Transportation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The rapid evolution of robotics is reshaping the landscape of personal transportation, driving a paradigm shift toward safer, smarter, and more efficient mobility solutions. As … |
Amruta Jadhav; | International Journal of Mathematics And Computer Research | 2026-03-28 |
| 69 | Research on Autonomous Vehicle Motion Control Based on Deep Reinforcement Learning and Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes an integrated control framework that synergizes data-driven methods with advanced motion planning. |
Gang Han; Ye Lin; | Journal of Research in Science and Engineering | 2026-03-27 |
| 70 | A Prediction Framework for Autonomous Driving Stress to Support Sustainable Shared Autonomous Vehicle Operations Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study proposes a novel traffic information, termed Autonomous Driving Stress (ADS), designed to enhance the safety and efficiency of SAV route planning by quantitatively capturing the level of driving challenge encountered during autonomous operation. |
Jeonghoon Jee; Hoyoon Lee; Cheol Oh; Kyeongpyo Kang; | Sustainability | 2026-03-27 |
| 71 | Understanding The Autonomous Electric Vehicle Cyber Threat Landscape: A Focus on Infrastructure, Threats and Ontology‐Based Modelling Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). |
OHUD ALSADI et. al. | Energy Internet | 2026-03-26 |
| 72 | Research on Trajectory Tracking Control for Autonomous Vehicles Based on Model Parameter Adaptive Correction Controller Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a trajectory tracking control method for autonomous vehicles based on an adaptive model parameter correction controller (MPACC). |
Fengbiao Ji; Yang He; Junpeng Zhou; Yuxin Li; | World Electric Vehicle Journal | 2026-03-25 |
| 73 | Comparative Analysis of Effective AI Based 3D Multi-Object Detection and Tracking Methods for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Thus, the present study implements HDL-MODT (hybrid deep learning based multi-object detection and tracking) using a sensor fusion approach. |
Dheepika PS; Umadevi. V; | Journal of Automation, Mobile Robotics and Intelligent … | 2026-03-25 |
| 74 | Modeling Edge-to-Cloud Offloading Workloads for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a system-level workload modeling framework for vehicle-to-cloud data. |
Longkun Li; Evangelos Pournaras; | arxiv-cs.NI | 2026-03-24 |
| 75 | Disengagement Analysis and Field Tests of A Prototypical Open-Source Level 4 Autonomous Driving System Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: By classifying 30 disengagements across 26 rides with a novel five-level criticality framework, we observed a spatial disengagement rate of 0.127 1/km. |
Marvin Seegert; Christian Oefinger; Korbinian Moller; Christoph Bank; Johannes Betz; | arxiv-cs.RO | 2026-03-23 |
| 76 | DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Recent vision-language models (VLMs) offer promising semantic understanding capabilities; however, their high inference latency and susceptibility to hallucination hinder direct application to real-time vehicle control. To address these limitations, this paper proposes DriveVLM-RL, a neuroscience-inspired framework that integrates VLMs into RL through a dual-pathway architecture for safe and deployable autonomous driving. |
ZILIN HUANG et. al. | arxiv-cs.RO | 2026-03-18 |
| 77 | A New Energy Vehicle Autonomous Driving Decision Control Method Integrating Neural Networks and Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Conventional energy-efficient autonomous driving methods are often limited to longitudinal velocity planning and fixed-route strategies, which fail to achieve optimal adaptability in dynamic traffic conditions. To overcome these challenges, this research proposes an autonomous driving decision control method integrating Neural Networks (NNs) with Reinforcement Learning (RL). |
Wei Huang; | Informatica | 2026-03-18 |
| 78 | When The City Teaches The Car: Label-Free 3D Perception from Infrastructure Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose infrastructure-taught, label-free 3D perception, a paradigm in which RSUs act as stationary, unsupervised teachers for ego vehicles. |
ZHEN XU et. al. | arxiv-cs.CV | 2026-03-17 |
| 79 | Experimental Evaluation of Security Attacks on Self-Driving Car Platforms Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present a systematic, on-hardware experimental evaluation of five attack classes: FGSM, PGD, man-in-the-middle (MitM), denial-of-service (DoS), and phantom attacks on low-cost autonomous vehicle platforms (JetRacer and Yahboom). |
Viet K. Nguyen; Nathan Lee; Mohammad Husain; | arxiv-cs.CR | 2026-03-14 |
| 80 | Adversarial Reinforcement Learning with MPGD for Worst-Case Perception Error Simulation at Highway On-Ramps Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose a novel adversarial attack framework that combines RL with momentum-based projected gradient descent (MPGD), aiming to simulate worst-case perception errors by perturbing the sensory inputs of the driving agent. |
Xinyu Chen; Xiang Yu; Xiangfan Xu; Nan Chen; Bingbing Li; | Electronics | 2026-03-12 |
| 81 | Multi-model Approach for Autonomous Driving: A Comprehensive Study on Traffic Sign-, Vehicle- and Lane Detection and Behavioral Cloning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, a novel approach to enhance the performance of selfdriving cars by using pre-trained and custom-made neural networks for key tasks, including traffic sign classification, vehicle detection, lane detection, and behavioral cloning is provided. |
Kanishkha Jaisankar; Pranav M. Pawar; Diana Susane Joseph; Raja Muthalagu; Mithun Mukherjee; | arxiv-cs.CV | 2026-03-10 |
| 82 | Simulation Study on Real-Time Autonomous Driving Decision-Making Using BEV Perception and Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study proposes an engineering-oriented framework to enable latency-constrained LLM-based decision-making by integrating bird’s-eye-view (BEV) structured perception with low-bit quantized inference. |
Gaosong Shi; Mingxiao Yu; Xiaofan Sun; | Technologies | 2026-03-10 |
| 83 | NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose NaviDriveVLM, a decoupled framework that separates reasoning from action generation using a large-scale Navigator and a lightweight trainable Driver. |
Ximeng Tao; Pardis Taghavi; Dimitar Filev; Reza Langari; Gaurav Pandey; | arxiv-cs.RO | 2026-03-08 |
| 84 | Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Autonomous driving testing increasingly relies on mining safety critical scenarios from large scale naturalistic driving data, yet existing screening pipelines still depend on manual risk annotation and expensive frame by frame risk evaluation, resulting in low efficiency and weakly grounded risk quantification. To address this issue, we propose a driver risk fusion based hazardous scenario screening method for autonomous driving. |
CHEN XIONG et. al. | arxiv-cs.RO | 2026-03-07 |
| 85 | Lightweight LiDAR-Based 3D Human Pose Estimation Via 2D Depth Images for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a lightweight LiDAR-based 3D human pose estimation method specifically designed for deployment in autonomous driving systems. |
GYU-YEON KIM et. al. | Sensors | 2026-03-05 |
| 86 | From Code to Road: A Vehicle-in-the-Loop and Digital Twin-Based Framework for Central Car Server Testing in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, purely virtual simulations often struggle to accurately capture all real-world factors due to limitations in modeling. To address this challenge, this work presents a test framework for automotive software on the centralized E/E architecture, which is a central car server in our case, based on Vehicle-in-the-Loop (ViL) and digital twin technology. |
CHENGDONG WU et. al. | arxiv-cs.RO | 2026-03-05 |
| 87 | Dual-Modal Gated Fusion-Driven BEV 3D Object Detection: Enhancing Sustainable Intelligent Transportation in Nighttime Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, unstable nighttime low-light perception severely restricts autonomous driving deployment, hindering sustainable transportation development—rooted in visual feature degradation and cross-modal imbalance that impair 3D object detection (autonomous driving’s core perception technology). To address this and advance sustainable autonomous driving, this paper proposes a Bird’s-Eye View (BEV)-based multi-modal 3D object detection approach tailored for nighttime scenarios, integrating low-light adaptive components while preserving the original BEV pipeline. |
Peifeng Liang; Ye Zhang; Xinyue Wu; Qiongyuan Wu; | Sustainability | 2026-03-03 |
| 88 | Enhancing Sustainable Traffic Safety Through Machine Learning: A Risk Assessment and Feature Selection Framework Using NGSIM Data Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study presents a driving risk analysis framework based on the Next-Generation Simulation (NGSIM) dataset. |
Meltem Aslantas; Fatma Kutlu Gündoğdu; | Sustainability | 2026-03-02 |
| 89 | Opportunities and Challenges of Operating Semi-Autonomous Vehicles: A Layered Vulnerability Perspective Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study examines how vulnerability is produced for human operators of Tesla’s Full Self-Driving (FSD), a Level 2 semi-autonomous vehicle (SAV) system, by applying Florencia Luna’s layered vulnerability framework. |
Soumita Mukherjee; Priya Kumar; Laura Cabrera; | arxiv-cs.HC | 2026-03-01 |
| 90 | Rationale Behind Human-Led Autonomous Truck Platooning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a systematic rationale for human-led autonomous truck platooning as a pragmatic intermediate pathway. |
Yukun Lu; Chenzhao Li; Xintong Jiang; Qiaoxuan Zhang; | arxiv-cs.RO | 2026-03-01 |
| 91 | Remote and Autonomous Vehicle Control with Simplified DES Encryption and Lateral Parking Assistance Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the development of a remote-controlled and semiautonomous vehicle from both hardware and software perspectives. |
Mihai-Iulian Mocanu; Alexandru Dinu; | TEM Journal | 2026-02-27 |
| 92 | Unleashing The Potential of Diffusion Models for End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, we conducted a systematic and large-scale investigation to unleash the potential of the diffusion models as planners for E2E AD, based on a tremendous amount of real-vehicle data and road testing. |
YINAN ZHENG et. al. | arxiv-cs.RO | 2026-02-26 |
| 93 | TaCarla: A Comprehensive Benchmarking Dataset for End-to-end Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The CARLA Leaderboard 2.0 challenge, which provides a diverse set of scenarios to address the long-tail problem in autonomous driving, has emerged as a valuable alternative platform for developing perception and planning models in both open-loop and closed-loop evaluation setups. |
TUGRUL GORGULU et. al. | arxiv-cs.RO | 2026-02-26 |
| 94 | A Neuro-Evolutionary Framework for Autonomous Vehicle Control Using Genetic Algorithms and Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a custom-built self-driving car simulation framework that integrates feedforward neural networks with genetic algorithms for autonomous control optimization. |
JAY NADKARNI et. al. | International Journal of Research in Engineering, Science … | 2026-02-21 |
| 95 | Dynamic Deception: When Pedestrians Team Up to Fool Autonomous Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we address both limitations by introducing a system-level attack in which multiple dynamic elements (e.g., two pedestrians) carry adversarial patches (e.g., on cloths) and jointly amplify their effect through coordination and motion. |
Masoud Jamshidiyan Tehrani; Marco Gabriel; Jinhan Kim; Paolo Tonella; | arxiv-cs.CR | 2026-02-20 |
| 96 | End-to-End Latency Measurement Methodology for Connected and Autonomous Vehicle Teleoperation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a measurement framework capable of quantifying M2M, G2G, and E2E latencies using gyroscopes, a phototransistor, and two GPS-synchronized Raspberry Pi 5 units. |
François Provost; Faisal Hawlader; Mehdi Testouri; Raphaël Frank; | arxiv-cs.NI | 2026-02-19 |
| 97 | Automated Quality Check of Sensor Data Annotations Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To train such AI algorithms, large amounts of training data are required, which must meet high-quality standards due to their safety relevance. In this publication we present an automatic method for assuring the quality of training data, significantly reducing the manual workload and accelerating the development of these systems. |
NIKLAS FREUND et. al. | arxiv-cs.CV | 2026-02-19 |
| 98 | DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This passivity restricts the model’s capacity to actively seek crucial visual evidence when faced with uncertainty. To address this, we introduce DriveAgent-R1, an autonomous driving agent capable of active perception for planning. |
WEICHENG ZHENG et. al. | iclr | 2026-02-17 |
| 99 | Road Rage Against The Machine: Humans and LLMs Share A Blame Bias Against Driverless Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Yueying Chu; Peng Liu; Julian Savulescu; B. Earp; | International Journal of Human–Computer Interaction | 2026-02-16 |
| 100 | Assessing Cybersecurity Risks and Traffic Impact in Connected Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this research, we sought to investigate the potential impact of cyberattacks on traffic patterns. |
SAURAV SILWAL et. al. | arxiv-cs.CR | 2026-02-14 |
| 101 | SToRM: Supervised Token Reduction for Multi-modal LLMs Toward Efficient End-to-end Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To enable efficient E2E driving while maintaining performance comparable to using all tokens, this paper proposes the first Supervised Token Reduction framework for multi-modal LLMs (SToRM). |
Seo Hyun Kim; Jin Bok Park; Do Yeon Koo; Ho Gun Park; Il Yong Chun; | arxiv-cs.CV | 2026-02-12 |
| 102 | Calibration and Evaluation of Car-Following Models for Autonomous Shuttles Using A Novel Multi-Criteria Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Existing car-following studies often rely on disparate metrics, which limit reproducibility and performance comparability. This study addresses these gaps through two main contributions: (1) the calibration of a diverse set of car-following models using real-world AS trajectory data, including eight machine learning algorithms and two physics-based models; and (2) the introduction of a multi-criteria evaluation framework that integrates measures of prediction accuracy, trajectory stability, and statistical similarity, which provides a generalizable methodology for a systematic assessment of car-following models. |
Renan Favero; Lily Elefteriadou; | arxiv-cs.ET | 2026-02-11 |
| 103 | Normalized Surveillance in The Datafied Car: How Autonomous Vehicle Users Rationalize Privacy Trade-offs Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose governance interventions to democratize social learning, including universal data access rights, binding transparency requirements, and data minimization standards to prevent race-to-the-bottom dynamics in automotive datafication. |
Yehuda Perry; Tawfiq Ammari; | arxiv-cs.HC | 2026-02-11 |
| 104 | AurigaNet: A Real-Time Multi-Task Network for Enhanced Urban Driving Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, we present AurigaNet, an advanced multi-task network architecture designed to push the boundaries of autonomous driving perception. |
Kiarash Ghasemzadeh; Sedigheh Dehghani; | arxiv-cs.CV | 2026-02-11 |
| 105 | Benchmarking Autonomous Vehicles: A Driver Foundation Model Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Accordingly, we propose a framework for establishing DFMs to comprehensively benchmark AVs. |
Yuxin Zhang; Cheng Wang; Hubert P. H. Shum; | arxiv-cs.RO | 2026-02-09 |
| 106 | Application of Non-cooperative Game Theory in Analyzing A Potential DoS on Autonomous Vehicular Network Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Our key contribution lies in the systematic quantification of attacker and defender payoffs based on realistic network metrics, enabling the identification of optimal strategies across 21 distinct attack/defense scenarios derived from tunable network parameters. |
Farha Jahan; Julia Devore; Quamar Niyaz; Weiqing Sun; | SIMULATION | 2026-02-09 |
| 107 | Modeling 3D Pedestrian-Vehicle Interactions for Vehicle-Conditioned Pose Forecasting Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we present a 3D vehicle-conditioned pedestrian pose forecasting framework that explicitly incorporates surrounding vehicle information. |
Guangxun Zhu; Xuan Liu; Nicolas Pugeault; Chongfeng Wei; Edmond S. L. Ho; | arxiv-cs.CV | 2026-02-09 |
| 108 | Head-to-Head Autonomous Racing at The Limits of Handling in The A2RL Challenge Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This article presents the algorithms and deployment strategies developed by the TUM Autonomous Motorsport team for the inaugural Abu Dhabi Autonomous Racing League (A2RL). |
SIMON HOFFMANN et. al. | arxiv-cs.RO | 2026-02-09 |
| 109 | Analyzing The Impact of Simulation Fidelity on The Evaluation of Autonomous Driving Motion Control Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: For this purpose, we introduce a comprehensive Autoware-compatible vehicle model. |
Simon Sagmeister; Panagiotis Kounatidis; Sven Goblirsch; Markus Lienkamp; | arxiv-cs.RO | 2026-02-08 |
| 110 | Learning to Drive in New Cities Without Human Demonstrations Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we show that self-play multi-agent reinforcement learning can adapt a driving policy to a substantially different target city using only the map and meta-information, without requiring any human demonstrations from that city. |
ZILIN WANG et. al. | arxiv-cs.RO | 2026-02-08 |
| 111 | Real-time Traffic Obstacle Detection Using Hybrid FCL for R-CNN and EfficientDet with Transfer Learning IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we present and evaluate two object detection models for identifying various road entities, including cars, trucks, pedestrians, and other obstacles. |
K. VENINGSTON et. al. | Discover Artificial Intelligence | 2026-02-05 |
| 112 | The Dynamics of Attention Across Automated and Manual Driving Modes: A Driving Simulation Study Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study aims to explore the dynamics of driver attention to various zones, including the road, the central mirror, the embedded Human-Machine Interface (HMI), and the speedometer, across different driving modes in AVs. |
Yuan Cai; Mustafa Demir; Farzan Sasangohar; Mohsen Zare; | arxiv-cs.ET | 2026-02-03 |
| 113 | Human-Like Autonomous Driving Car-Following Behavior Learning Based on Adversarial Training and Uncertainty-Aware DDPG Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Designing effective car-following (CF) models is essential for the development of safe and efficient autonomous driving systems, enabling ego vehicles to adjust their speed based … |
Xiaobo Chen; Jinpeng Zang; Fengyin Zhao; | IEEE Robotics and Automation Letters | 2026-02-01 |
| 114 | Exploring The Effects of Shared Autonomous Vehicles and The Feasibility of A Novel Parking Pricing Policy: An Agent-Based Simulation Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Shared autonomous vehicles (SAVs) combine autonomous driving and sharing mobility, offering potential to reshape future travel modes. Their self-driving attribute is expected to … |
XIAOFEI YE et. al. | IEEE Transactions on Intelligent Transportation Systems | 2026-02-01 |
| 115 | Advancements and Insights in Assessing Cognitive Load During Driving: A Comprehensive Narrative Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the context of rapid advancements in the automotive industry and intelligent transportation systems, assessing cognitive load during driving has become a key factor for driving … |
PEIJIANG ZHANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2026-02-01 |
| 116 | Deep Learning-Based Object Detection for Autonomous Vehicles: A Comparative Study of One-Stage and Two-Stage Detectors on Basic Traffic Objects Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study provides a comprehensive experimental analysis comparing two prominent object detection models: YOLOv5 (a one-stage detector) and Faster R-CNN (a two-stage detector). |
Bsher Karbouj; Adam Michael Altenbuchner; Joerg Krueger; | arxiv-cs.CV | 2026-01-30 |
| 117 | Aligning Microscopic Vehicle and Macroscopic Traffic Statistics: Reconstructing Driving Behavior from Partial Data Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Conversely, roadside sensors can capture traffic flow and other macroscopic characteristics, but they cannot associate this information with individual vehicles on a microscopic level. Motivated by this complementarity, we propose a framework that reconstructs unobserved microscopic states from macroscopic observations, using microscopic data to anchor observed vehicle behaviors, and learns a shared policy whose behavior is microscopically consistent with the partially observed trajectories and actions and macroscopically aligned with target traffic statistics when deployed population-wide. |
Zhihao Zhang; Keith Redmill; Chengyang Peng; Bowen Weng; | arxiv-cs.MA | 2026-01-29 |
| 118 | A Conceptual Framework for Safety and Decision Justification in Autonomous Vehicles Using Explainable AI Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper explores the critical role of safety mechanisms and decision justification in autonomous driving systems. |
P. Ramanjaneya Prasad; B. Durga Neelima; A. Swapna; | International Research Journal on Advanced Engineering Hub … | 2026-01-27 |
| 119 | Game-Theoretic Autonomous Driving: A Graphs of Convex Sets Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We introduce IBR-GCS, an Iterative Best Response (IBR) planning approach based on the Graphs of Convex Sets (GCS) framework that models highway driving as a generalized noncooperative game. |
Nikolaj Käfer; Ahmed Khalil; Edward Huynh; Efstathios Bakolas; David Fridovich-Keil; | arxiv-cs.MA | 2026-01-27 |
| 120 | DMAVA: Distributed Multi-Autonomous Vehicle Architecture Using Autoware Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a Distributed Multi-AV Architecture (DMAVA) that enables synchronized, real-time autonomous driving simulation across multiple physical hosts. |
Zubair Islam; Mohamed El-Darieby; | arxiv-cs.RO | 2026-01-22 |
| 121 | Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we design a smart human driving vehicle simulator HDSim which is empowered by cognitively inspired modeling and AI models. |
WENDI LI et. al. | aaai | 2026-01-20 |
| 122 | Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In addition, it remains a challenge to match multiple trajectories with each vehicle in the video to control the video generation. To address above issues, a driving World Model named EOT-WM is proposed in this paper, unifying Ego-Other vehicle Trajectories in videos. |
JIAN ZHU et. al. | aaai | 2026-01-20 |
| 123 | RadarMP: Motion Perception for 4D MmWave Radar in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose RadarMP, a novel method for precise 3D scene motion perception using low-level radar echo signals from two consecutive frames. |
Ruiqi Cheng; Huijun Di; Jian Li; Feng Liu; Wei Liang; | aaai | 2026-01-20 |
| 124 | ReflexDiffusion: Reflection-Enhanced Trajectory Planning for High-lateral-acceleration Scenarios in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce ReflexDiffusion, a novel inference-stage framework that enhances diffusion-based trajectory planners through reflective adjustment. |
XUEMEI YAO et. al. | aaai | 2026-01-20 |
| 125 | Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While various methods have been proposed for trajectory prediction, the current evaluation practices still rely on error-based metrics (e.g., ADE, FDE), which reveal the accuracy from a post-hoc view but ignore the actual effect the predictor brings to the self-driving vehicles (SDVs), especially in complex interactive scenarios: a high-quality predictor not only chases accuracy, but should also captures all possible directions a neighbor agent might move, to support the SDVs’ cautious decision-making. Given that the existing metrics hardly account for this standard, in our work, we propose a comprehensive pipeline that adaptively evaluates the predictor’s performance by two dimensions: accuracy and diversity. |
Longchao Da; David Isele; Hua Wei; Manish Saroya; | aaai | 2026-01-20 |
| 126 | Deciphering The Crash Mechanisms in Autonomous Vehicle Systems Via Explainable AI Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study identifies key predictive associations for the development of safer AV systems and provides data-driven insights to support regulatory strategies for autonomous driving technologies. |
ZHE ZHANG et. al. | Systems | 2026-01-19 |
| 127 | CD-TWINSAFE: A ROS-enabled Digital Twin for Scene Understanding and Safety Emerging V2I Technology Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, the CD-TWINSAFE is introduced, a V2I-based digital twin for Autonomous Vehicles. |
Amro Khaled; Farah Khaled; Omar Riad; Catherine M. Elias; | arxiv-cs.CV | 2026-01-18 |
| 128 | How Safe Is Your Data in Connected and Autonomous Cars: A Consumer Advantage or A Privacy Nightmare ? Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Technologies such as Vehicle-to-Everything (V2X) communication enable autonomous cars to generate and exchange substantial amounts of data with real-world entities, enhancing safety, improving performance, and delivering personalized user experiences. |
Amit Chougule; Vinay Chamola; Norbert Herencsar; Fei Richard Yu; | arxiv-cs.CY | 2026-01-18 |
| 129 | Effects of Electric Autonomous Vehicles on Urban Spatial Structure Considering Environmental Pollution Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Meanwhile, with the continuous upgrading of artificial intelligence and autonomous driving algorithms, unmanned driving technology is moving from the laboratory to commercial implementation, which profoundly changes travel modes and has become a core trend for the global automotive industry. Based on this, we aim to develop an urban spatial model considering environmental pollution, and consider three travel modes including electric autonomous vehicles (EAVs), traditional gasoline vehicles (TGVs) and electric buses. |
Yajuan Chen; Lili Cheng; Xin Tian; Qianwen Guo; | Management System Engineering | 2026-01-12 |
| 130 | Efficient Visual Question Answering Pipeline for Autonomous Driving Via Scene Region Compression Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This focus limits their practical deployment in real-time autonomous driving scenarios. To tackle this issue, we propose an efficient VLM framework for autonomous driving VQA tasks, SRC-Pipeline. |
Yuliang Cai; Dongqiangzi Ye; Zitian Chen; Chongruo Wu; | arxiv-cs.CV | 2026-01-11 |
| 131 | Vehicle Trajectory Prediction for Autonomous Driving Applications: State-of-the-Art Review, Research Challenges, and Future Directions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Trajectory prediction technology is considered to be the core part of the decision-making control system of autonomous vehicles. The accuracy of trajectory prediction directly … |
YONGJUN YAN et. al. | Automotive Innovation | 2026-01-10 |
| 132 | Applying Dual Deep Deterministic Policy Gradient Algorithm for Autonomous Vehicle Decision-Making in IPG-Carmaker Simulator Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This research presents a decision-making strategy for automated vehicles that models both lane changing and double lane changing maneuvers and is supported by a Deep Reinforcement Learning (DRL) algorithm. |
Ali Rizehvandi; Shahram Azadi; Arno Eichberger; | World Electric Vehicle Journal | 2026-01-09 |
| 133 | Formal Safety Guarantees for Autonomous Vehicles Using Barrier Certificates Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work develops a formally verified safety framework for Connected and Autonomous Vehicles (CAVs) that integrates Barrier Certificates (BCs) with interpretable traffic conflict metrics, specifically Time-to-Collision (TTC) as a spatio-temporal safety metric. |
Oumaima Barhoumi; Mohamed H Zaki; Sofiène Tahar; | arxiv-cs.RO | 2026-01-08 |
| 134 | DAVOS: An Autonomous Vehicle Operating System in The Vehicle Computing Era Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents DAVOS, the Delaware Autonomous Vehicle Operating System, a unified vehicle operating system architecture designed for the vehicle computing context. |
Yuxin Wang; Yuankai He; Boyang Tian; Lichen Xian; Weisong Shi; | arxiv-cs.OS | 2026-01-08 |
| 135 | FB-Net: Multi-sensor Fusion for Object Detection Using Front View and Bird’s-eye-view Features Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In such situations, relying on a single sensor in a single perspective alone is inadequate to meet the perception requirements of autonomous driving. Therefore, this work proposes FB-Net, a novel multimodal object detection network. |
BINGLI ZHANG et. al. | Proceedings of the Institution of Mechanical Engineers, … | 2026-01-07 |
| 136 | Cooperative Control and Energy Management for Autonomous Hybrid Electric Vehicles Using Machine Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a novel two-stage cooperative control framework for autonomous hybrid electric vehicle (HEV) platoons based on machine learning. |
Jewaliddin Shaik; Sri Phani Krishna Karri; Anugula Rajamallaiah; Kishore Bingi; Ramani Kannan; | Machines | 2026-01-07 |
| 137 | Enhancing Safety in Automated Ports: A Virtual Reality Study of Pedestrian-Autonomous Vehicle Interactions Under Time Pressure, Visual Constraints, and Varying Vehicle Size Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study investigates how environmental factors, traffic factors, and pedestrian characteristics influence interaction safety between autonomous vehicles and pedestrians in ports. |
Yuan Che; Mun On Wong; Xiaowei Gao; Haoyang Liang; Yun Ye; | arxiv-cs.HC | 2026-01-06 |
| 138 | SBF-DRL: A Multi-Vehicle Safety Enhancement Framework Based on Deep Reinforcement Learning with Integrated Safety Barrier Function Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a deep reinforcement learning multi-vehicle safety enhancement framework that integrates a safety barrier function (SBF-DRL). |
Yanfei Peng; Wei Yuan; Fei Miao; Wei Hao; | World Electric Vehicle Journal | 2026-01-05 |
| 139 | LLM-Augmented Driving Behavior Planning for Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles (AVs) must make reliable decisions in dense urban environments to ensure safety and efficiency. Existing learning-based autonomous driving (AD) systems … |
Aidana Baimbetova; Haruki Yonekura; Hamada Rizk; Hirozumi Yamaguchi; | Companion Proceedings of the 27th International Conference … | 2026-01-04 |
| 140 | MCTP: A Multi-Coupled Dynamics Trajectory Planning Scheme for Autonomous Driving in Extreme Conditions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Trajectory planning is essential for ensuring the safe operation of autonomous vehicles. However, existing methods rarely consider the vehicle’s multi-coupled dynamics, including … |
XUEPENG HU et. al. | IEEE Transactions on Automation Science and Engineering | 2026-01-01 |
| 141 | Securing End-to-End Reinforcement Learning-Driven Autonomous Driving: A Control Command Utility-Based Intrusion Response System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: End-to-end autonomous driving with deep reinforcement learning (DRL) encounters significant challenges in security and safety, which are critical for the automotive industry’s … |
QISHENG ZHANG et. al. | IEEE Transactions on Intelligent Vehicles | 2026-01-01 |
| 142 | A Game-Theoretic Framework of Interaction and Cooperative Driving for CAVs at Mixed Unsignalized Intersections Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: During the ongoing development and proliferation of autonomous driving, human-driven vehicles (HDVs) and connected automated vehicles (CAVs) will coexist in mixed traffic … |
YIMING CUI et. al. | IEEE Internet of Things Journal | 2026-01-01 |
| 143 | Ensemble Artificial Intelligence Framework for Real-Time Automatic Vehicle Detection and Classifications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle detection plays a vital role in a variety of applications such as autonomous driving, traffic management, and public safety. In this article, we propose an ensemble … |
QUAN YUAN et. al. | IEEE Access | 2026-01-01 |
| 144 | A Comparative Analysis of YOLO-Based Traffic Sign Detections With A Novel Turkish Traffic Sign Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Traffic signs are one of the most critical components that regulate traffic on roads. They inform drivers about the priorities and restrictions on the road they are on. This study … |
Fehim Köylü; | IEEE Access | 2026-01-01 |
| 145 | ROBOPOL: Social Robotics Meets Vehicular Communications for Cooperative Automated Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose social robots as moderators between autonomous vehicles and vulnerable road users (VRU). |
MANUEL BIED et. al. | arxiv-cs.RO | 2025-12-30 |
| 146 | Investigating Vehicle Size Input Strategies in Deep Reinforcement Learning for Cooperative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Akito Takenaka; Tomohiro Harada; Yukiya Miura; Kiyohiko Hattori; Johei Matuoka; | Artificial Life and Robotics | 2025-12-29 |
| 147 | A Human-Oriented Cooperative Driving Approach: Integrating Driving Intention, State, and Conflict Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To establish more natural and effective human-vehicle interaction, we propose a Human-Oriented Cooperative Driving (HOCD) approach that primarily minimizes human-machine conflict by prioritizing driver intention and state. |
QIN WANG et. al. | arxiv-cs.RO | 2025-12-29 |
| 148 | Assessing Behaviour Coverage in A Multi-agent System Simulation for Autonomous Vehicle Testing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study focuses on the behaviour coverage analysis of a multi-agent system simulation designed for autonomous vehicle testing, and provides a systematic approach to measure and assess behaviour coverage within the simulation environment. |
Manuel Franco-Vivo; | arxiv-cs.MA | 2025-12-29 |
| 149 | Model-based Development for Autonomous Driving Software Considering Parallelization Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, autonomous driving software requires real-time performance as it considers a variety of functions and complex environments. Therefore, this paper proposes a parallelization method for autonomous driving software using the Model-Based Development (MBD) process. |
Kenshin Obi; Takumi Onozawa; Hiroshi Fujimoto; Takuya Azumi; | arxiv-cs.SE | 2025-12-29 |
| 150 | Real-Time Out of Distribution Detection in 2D Object Detection for Autonomous Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: A key contribution of our work is the integration of a real-time Out-of-Distribution (OOD) detection module, which employs lightweight statistical techniques in conjunction with learned feature representations to ensure minimal computational overhead while maintaining operational robustness. |
Lorant Szabo; Zoltán Weltsch; Andrea Major; | Engineering Perspective | 2025-12-28 |
| 151 | Research on Public Perception of Autonomous Driving Taxis Based on Web Text Analysis: A Case Study of Apollo Go in Wuhan Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Given the discrepancy between governmental/enterprise optimism and public skepticism, this research aims to analyze public sentiment and concerns towards autonomous vehicles to mitigate risks associated with AI adoption in intelligent driving. |
Weiping Yang; Tianqi Wu; Xukun Liu; Zhiyun Ma; | Transactions on Computer Science and Intelligent Systems … | 2025-12-25 |
| 152 | From Expectation To Experience: A Before And After Survey Of Public Opinion On Autonomous Cars In Saudi Arabia Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Saudi Arabian adoption of AVs aligns with Vision 2030, emphasizing smart mobility through initiatives such as the Riyadh Autonomous Metro and self-driving cars. This study explores Saudi citizens perceptions of AVs before and after exposure to these technologies and examines whether demographic factors age, gender, education level, and driving habits affect acceptance. |
Mona Alfayez; Ohoud Alharbi; | arxiv-cs.HC | 2025-12-24 |
| 153 | PathCovAVTest: Testing for Violations of Autonomous Driving Systems Based on Path Coverage of Traffic Regulation Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In response, we propose a method for testing violations by autonomous vehicles—PathCovAVTest—which generates violation scenarios through traffic regulation scenario models to evaluate both safety violations and traffic regulation violations of the autonomous driving system. |
CHUNYAN XIA et. al. | Journal of Software: Evolution and Process | 2025-12-23 |
| 154 | Failure Analysis of Safety Controllers in Autonomous Vehicles Under Object-Based LiDAR Attacks Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a systematic failure analysis of longitudinal safety controllers under object based LiDAR attacks in highway driving scenarios. |
Daniyal Ganiuly; Nurzhau Bolatbek; Assel Smaiyl; | arxiv-cs.SE | 2025-12-23 |
| 155 | CauTraj: A Causal-Knowledge-Guided Framework for Lane-Changing Trajectory Planning of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Most existing studies have not incorporated human drivers’ prior knowledge when designing trajectory planning models. To address this issue, this study proposes a novel trajectory planning framework that integrates causal prior knowledge into the control process. |
Cailin Lei; Haiyang Wu; Yuxiong Ji; Xiaoyu Cai; Yuchuan Du; | arxiv-cs.RO | 2025-12-21 |
| 156 | Special Issue on Vehicle and Mobile Robot Technology (Part 2) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Recently, mobility technologies have undergone remarkable advances, with innovations such as autonomous driving and vehicle electrification, becoming increasingly integrated into … |
Yuki Minami; Kenji Sawada; Yuichiro Sueoka; Hiroshi Okajima; Kazuma Sekiguchi; | Journal of Robotics and Mechatronics | 2025-12-19 |
| 157 | Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While existing adversarial evaluation methods are built for models operating in simplified simulation environments, adversarial evaluation for real-world end-to-end autonomous driving has been little explored. To address this challenge, we propose a closed-loop evaluation platform for end-to-end autonomous driving, which can generate adversarial interactions in real-world scenes. |
JIAHENG GENG et. al. | arxiv-cs.CV | 2025-12-17 |
| 158 | Performance Comparison of Duel-DDPG and DDPG Algorithms in The Decision-making Phase of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This research seeks to create a decision-making approach for self-driving cars, emphasizing actions such as changing lanes, overtaking, and maintaining lane position on highways, through deep reinforcement learning (DRL). |
Ali Rizehvandi; Shahram Azadi; Arno Eichberger; | Periodica Polytechnica Transportation Engineering | 2025-12-15 |
| 159 | AUTONOMOUS VEHICLES AND THEIR IMPLICATIONS ON FUTURE ROAD DESIGN AND SAFETY Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The significant development of autonomous vehicles, also known as self-driving cars, is ready to bring a large changeover into the world of transportation and the planning of roads and related infrastructural changes. This paper embarks upon a thorough literature review of the current and emerging trends of autonomous vehicles deployment and its resultant influence upon the adaptability of infrastructural changes, traffic safety, mixed traffic performance, and overall socio-economic implications. |
ABDUL-AZEEZ ADEMOLA LAWAL; MODUPEOLA WURAOLA FAGBENRO; ABIOLA OLUWAGBEMIGA AYODELE; CONFIDENCE ADIMCHI CHINONYEREM; | International Journal of Built Environment and Earth Science | 2025-12-12 |
| 160 | Understanding Mental States in Active and Autonomous Driving with EEG Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the first EEG-based comparison of cognitive load, fatigue, valence, and arousal across the two driving modes. |
Prithila Angkan; Paul Hungler; Ali Etemad; | arxiv-cs.HC | 2025-12-09 |
| 161 | VP-AutoTest: A Virtual-Physical Fusion Autonomous Driving Testing Platform Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, despite its potential, virtual-physical fusion testing still faces challenges, such as limited element types, narrow testing scope, and fixed evaluation metrics. To address these challenges, we propose the Virtual-Physical Testing Platform for Autonomous Vehicles (VP-AutoTest), which integrates over ten types of virtual and physical elements, including vehicles, pedestrians, and roadside infrastructure, to replicate the diversity of real-world traffic participants. |
YIMING CUI et. al. | arxiv-cs.RO | 2025-12-08 |
| 162 | Reinforcement Learning-Based Vehicle Control in Mixed-Traffic Environments with Driving Style-Aware Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This advantage also persists in low-density scenarios, where a steady 10.60% improvement in evaluation reward is achieved. These findings confirm that the proposed integrated approach provides an effective decision-making solution for autonomous vehicles, capable of substantially enhancing interaction safety and traffic efficiency in emerging mixed-traffic environments. |
Xiaopeng Zhang; Lin Wang; Yipeng Zhang; Zewei Feng; | Sustainability | 2025-12-05 |
| 163 | AttentionDriveNet: Fusion of Deep Cognitive Network with Attention Modeling for Robust Navigation in Self-driving Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Self-driving vehicles are envisioned as automated and safety-focused vehicles facilitating smooth movement on roads. This research proposes a novel, robust, and intelligent navigation framework for such vehicles through an integrated fusion of advanced technologies like predictive analytics with remote sensing and detection for accurate obstacle/object detection. |
SUSHRUTA MISHRA et. al. | PLOS One | 2025-12-04 |
| 164 | A Modular Architecture Design for Autonomous Driving Racing in Controlled Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents an Autonomous System (AS) architecture for vehicles in a closed circuit. |
Brais Fontan-Costas; M. Diaz-Cacho; Ruben Fernandez-Boullon; Manuel Alonso-Carracedo; Javier Perez-Robles; | arxiv-cs.RO | 2025-12-03 |
| 165 | Evaluating The Impact of Network Latency on The Teleoperation of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Teleoperation provides a critical fallback for autonomous vehicles (AVs), enabling remote operators or automated systems to assume control when autonomous functionality is … |
Mustafa Alsolami; Arpan Bhattacharjee; Weisong Shi; | Proceedings of the Tenth ACM/IEEE Symposium on Edge … | 2025-12-03 |
| 166 | Edge-Deployable LLMs for Autonomous Vehicle Intelligence Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving (AD) has advanced significantly in perception through computer vision models, yet its reasoning layer remains limited. Current systems rely heavily on deep … |
Ishparsh Uprety; Xinghui Zhao; | Proceedings of the Tenth ACM/IEEE Symposium on Edge … | 2025-12-03 |
| 167 | Vision-Based Lane Detection Using Machine Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a comprehensive review of classical and modern lane detection techniques, with a focus on multi-task deep learning architectures, such as YOLOP (You Only Look Once for Panoptic Driving Perception). |
Prof. Pranesh Kulkarni; Ruthuja Chavan; Spoorthi Harakuni; Akshata Kattimani; Narayanrao Kulkarni; | International Journal of Scientific Research in Engineering … | 2025-12-03 |
| 168 | MPCFormer: A Physics-informed Data-driven Approach for Explainable Socially-aware Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The key challenge lies in AD’s limited ability to interact with surrounding vehicles, largely due to a lack of understanding the underlying mechanisms of social interaction. To address this issue, we introduce MPCFormer, an explainable socially-aware autonomous driving approach with physics-informed and data-driven coupled social interaction dynamics. |
JIA HU et. al. | arxiv-cs.RO | 2025-12-03 |
| 169 | NuScenes Revisited: Progress and Challenges in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work we revisit one of the most widely used autonomous driving datasets: the nuScenes dataset. |
Whye Kit Fong; Venice Erin Liong; Kok Seang Tan; Holger Caesar; | arxiv-cs.CV | 2025-12-02 |
| 170 | Scalable Fail-Degraded Systems for Autonomous Vehicles: A Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles represents a ground-breaking transportation technology which has the potential to provide many benefits to the society. To fully utilize this technology, it is … |
A. Hossam; J. Villagra; F. Navas; Vicente Milanés; | IEEE Transactions on Intelligent Transportation Systems | 2025-12-01 |
| 171 | A Safety-Driven Interpretable Model for Vehicle Control With Impact on Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes the utilization of a multi-mode ACC based on interpretable Finite State Machine (FSM) to address challenges in infrastructure and surrounding condition changes … |
XIA WANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-12-01 |
| 172 | Vehicle Dynamics Embedded World Models for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, prior work usually jointly learns ego-vehicle dynamics and environmental transition dynamics from the image input, leading to inefficiencies and a lack of robustness to variations in vehicle dynamics. To address these issues, we propose the Vehicle Dynamics embedded Dreamer (VDD) method, which decouples the modeling of ego-vehicle dynamics from environmental transition dynamics. |
Huiqian Li; Wei Pan; Haodong Zhang; Jin Huang; Zhihua Zhong; | arxiv-cs.RO | 2025-12-01 |
| 173 | Adaptive Game-theoretic Decision-making with Driving Style Recognition for Autonomous Vehicles in Uninterrupted Traffic Flows at Intersections Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Yuxiao Cao; Yinuo Jiang; Xiangrui Zeng; | Robotics Auton. Syst. | 2025-12-01 |
| 174 | A TRAFFIC SIGN-AWARE ARTIFICIAL INTELLIGENCE MODEL FOR ADVANCED DRIVER ASSISTANCE SYSTEMS Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, an artificial intelligence model sensitive to traffic signs, especially traffic lights, has been developed to reduce traffic flow problems, time loss, and cost increases on highways. |
Seyfettin Vadi; Simge Koçak; | Savunma Bilimleri Dergisi | 2025-11-29 |
| 175 | Motion-to-Motion Latency Measurement Framework for Connected and Autonomous Vehicle Teleoperation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents an M2M latency measurement framework that uses Hall-effect sensors and two synchronized Raspberry Pi~5 devices. |
François Provost; Faisal Hawlader; Mehdi Testouri; Raphaël Frank; | arxiv-cs.PF | 2025-11-27 |
| 176 | DriveVGGT: Visual Geometry Transformer for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: (iii) Relative positions of all cameras remain fixed though the ego vehicle is in motion. To fully integrate these priors into a feed-forward framework, we propose DriveVGGT, a scale-aware 4D reconstruction framework specifically designed for autonomous driving data. |
XIAOSONG JIA et. al. | arxiv-cs.CV | 2025-11-27 |
| 177 | Exploring The Impact of Steering Correction Magnitude and Multiview Data on Autonomous Vehicle Control Accuracy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To ensure the security and reliability of vehicle motion, autonomous driving will require accurate predictions of steering-wheel angles. This research studies two important … |
Teresa Emily Co; | Applied and Computational Engineering | 2025-11-26 |
| 178 | DriveMLM: Aligning Multi-modal Large Language Models with Behavioral Planning States for Autonomous Driving IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We introduce DriveMLM, an LLM-based AD framework that can perform close-loop autonomous driving in realistic simulators. |
ERFEI CUI et. al. | Visual Intelligence | 2025-11-26 |
| 179 | Generational Differences Among Users of Self-Driving Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: As a result, there is still a lack of empirical analyses comparing multiple generations and conducted on large samples that would provide a comprehensive picture of the age-determining factors of social acceptance of AVs. The present study aims to fill this gap with a questionnaire survey of 8663 people, which examines the trust, technology acceptance, and willingness to use autonomous vehicles among the Baby Boomer, X, Y, Z, and Alpha generations using Likert scale items. |
Patrik Viktor; Gábor Kiss; | World Electric Vehicle Journal | 2025-11-25 |
| 180 | End-to-end Autonomous Vehicle Following System Using Monocular Fisheye Camera Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, existing platooning systems face challenges such as reliance on lane markings and expensive high-precision sensors, which limits their general applicability. To address these issues, we propose a vehicle following framework that expands its capability from restricted scenarios to general scenario applications using only a camera. |
JIALE ZHANG et. al. | arxiv-cs.RO | 2025-11-24 |
| 181 | Development of A Testbed for Autonomous Vehicles: Integrating MPC Control with Monocular Camera Lane Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To increase the precision and stability of trajectory tracking in autonomous cars, a novel method that combines lane identification with Model Predictive Control (MPC) is presented. |
Shantanu Rahman; Nayeb Hasin; Mainul Islam; | arxiv-cs.RO | 2025-11-24 |
| 182 | Multi-Agent Coordination in Autonomous Vehicle Routing: A Simulation-Based Study of Communication, Memory, and Routing Loops Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Through systematic simulation experiments involving 72 unique configurations across varying vehicle densities (15, 35, 55 vehicles) and obstacle frequencies (6, 20 obstacles), we demonstrate that memory-less reactive rerouting increases average travel time by up to 682% compared to baseline conditions. To address this, we introduce Object Memory Management (OMM), a lightweight mechanism enabling agents to retain and share knowledge of previously encountered obstacles. |
KM Khalid Saifullah; Daniel Palmer; | arxiv-cs.MA | 2025-11-20 |
| 183 | AVS: A Computational and Hierarchical Storage System for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents AVS, an Autonomous Vehicle Storage system that co-designs computation with a hierarchical layout: modality-aware reduction and compression, hot-cold tiering with daily archival, and a lightweight metadata layer for indexing. |
Yuxin Wang; Yuankai He; Weisong Shi; | arxiv-cs.DC | 2025-11-19 |
| 184 | SVBRD-LLM: Self-Verifying Behavioral Rule Discovery for Autonomous Vehicle Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes SVBRD-LLM, a framework that automatically discovers, verifies, and applies interpretable behavioral rules from real traffic videos through zero-shot prompt engineering. |
Xiangyu Li; Zhaomiao Guo; | arxiv-cs.RO | 2025-11-18 |
| 185 | PAVE: An End-to-End Dataset for Production Autonomous Vehicle Evaluation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To evaluate the real behavioral safety of AVs controlled in the black box, we present the first end-to-end benchmark dataset collected entirely by autonomous-driving mode in the real world. |
XIANGYU LI et. al. | arxiv-cs.CV | 2025-11-18 |
| 186 | Efficient Driving Corridor Extraction for Autonomous Vehicles Using Best-First Reachability Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Planning traffic rule-compliant trajectories for autonomous vehicles is computationally expensive. It has been shown that restricting the search space of the trajectory planner to … |
Florian Lercher; Matthias Althoff; | 2025 IEEE 28th International Conference on Intelligent … | 2025-11-18 |
| 187 | Attacking Autonomous Driving Agents with Adversarial Machine Learning: A Holistic Evaluation with The CARLA Leaderboard Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We perform a case-study investigation of two attack strategies against three open-source driving agents from the CARLA Leaderboard across multiple driving scenarios, lighting conditions, and locations. |
HENRY WONG et. al. | arxiv-cs.CR | 2025-11-18 |
| 188 | Car Dodge Game Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: One of the most significant applications of these technologies is obstacle detection, which enhances vehicle safety and enables autonomous navigation. The project titled “Obstacle Detection Car” focuses on designing a smart system that can automatically detect and respond to obstacles in its path using AI-based software techniques. |
Pranav Bankar; Digvijay Deshmukh; Udayraj Bhosale; S. R. Takale; | International Journal of Advanced Research in Science, … | 2025-11-17 |
| 189 | A Systematic Review – Car Dodge Game Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: One of the most significant applications of these technologies is obstacle detection, which enhances vehicle safety and enables autonomous navigation. The project titled “Obstacle Detection Car” focuses on designing a smart system that can automatically detect and respond to obstacles in its path using AI-based software techniques. |
Pranav Bankar; Digvijay Deshmukh; Udayraj Bhosale; S. R. Takale; | International Journal of Advanced Research in Science, … | 2025-11-17 |
| 190 | MARL-Based High-Risk Multivehicle Scenario Generation for Autonomous Vehicle Safety Testing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Advancements in autonomous driving technology have been substantial, yet ensuring the safety and reliability of autonomous vehicles (AVs) in high-risk situations remains a … |
RUI ZHOU et. al. | IEEE Internet of Things Journal | 2025-11-15 |
| 191 | Miniature Testbed for Validating Multi-Agent Cooperative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, none of the existing testbeds employ smart infrastructure equipped with sensing, edge computing, and communication capabilities. To address this gap, we design and implement a 1:15-scale miniature testbed, CIVAT, for validating cooperative autonomous driving, consisting of a scaled urban map, autonomous vehicles with onboard sensors, and smart infrastructure. |
HYUNCHUL BAE et. al. | arxiv-cs.RO | 2025-11-14 |
| 192 | CATS-V2V: A Real-World Vehicle-to-Vehicle Cooperative Perception Dataset with Complex Adverse Traffic Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Correspondingly, we provide time-consistent 3D bounding box annotations for objects, as well as static scenes to construct a 4D BEV representation. On this basis, we propose a target-based temporal alignment method, ensuring that all objects are precisely aligned across all sensor modalities. |
HANGYU LI et. al. | arxiv-cs.CV | 2025-11-14 |
| 193 | A Comparative Evaluation of Prominent Methods in Autonomous Vehicle Certification Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper focuses on the comparative evaluation of the prominent methods planned to be used in the certification process of autonomous vehicles. |
Mustafa Erdem Kırmızıgül; Hasan Feyzi Doğruyol; Haluk Bayram; | arxiv-cs.RO | 2025-11-14 |
| 194 | LAVQA: A Latency-Aware Visual Question Answering Framework for Shared Autonomy in Self-Driving Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To address critical decision timing with variable latency due to wireless network delays and human response time, we present LAVQA, a latency-aware shared autonomy framework that integrates Visual Question Answering (VQA) and spatiotemporal risk visualization. |
SHUANGYU XIE et. al. | arxiv-cs.RO | 2025-11-14 |
| 195 | A Physics-informed Temporal Convolutional Network Model for Vehicle Lane-changing Trajectory Prediction on Highways Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To fully utilize the strengths and mitigate the disadvantages of both data-driven and physics-driven models, a physics-informed deep learning (PIDL) model that integrates physical information into a deep learning model is proposed to accurately predict vehicle lane-changing trajectories in this paper. |
Xixi Li; Minglun Ren; Nengying Chen; Hongmeng Xu; | Proceedings of the Institution of Mechanical Engineers, … | 2025-11-12 |
| 196 | CARScenes: Semantic VLM Dataset for Safe Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: CAR-Scenes is a frame-level dataset for autonomous driving that enables training and evaluation of vision-language models (VLMs) for interpretable, scene-level understanding. We … |
Yuankai He; Weisong Shi; | ArXiv | 2025-11-12 |
| 197 | D-AWSIM: Distributed Autonomous Driving Simulator for Dynamic Map Generation Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Conventional single-host simulators lack the capacity for large-scale urban traffic scenarios. This paper proposes D-AWSIM, a distributed simulator that partitions its workload across multiple machines to support the simulation of extensive sensor deployment and dense traffic environments. |
Shunsuke Ito; Chaoran Zhao; Ryo Okamura; Takuya Azumi; | arxiv-cs.RO | 2025-11-12 |
| 198 | FLAD: Federated Learning for LLM-based Autonomous Driving in Vehicle-Edge-Cloud Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present Federated LLM-based Autonomous Driving (FLAD), an FL framework that leverages distributed multimodal sensory data across AVs in heterogeneous environment. |
Tianao Xiang; Mingjian Zhi; Yuanguo Bi; Lin Cai; Yuhao Chen; | arxiv-cs.LG | 2025-11-12 |
| 199 | Semantic VLM Dataset for Safe Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To calibrate task difficulty, we include reproducible, non-benchmark baselines, notably a LoRA-tuned Qwen2-VL-2B with deterministic decoding, evaluated via scalar accuracy, micro-averaged F1 for list attributes, and severity MAE/RMSE on a fixed validation split. |
Yuankai He; Weisong Shi; | arxiv-cs.CV | 2025-11-12 |
| 200 | Dataset Safety in Autonomous Driving: Requirements, Risks, and Assurance Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a structured framework for developing safe datasets aligned with ISO/PAS 8800 guidelines. |
Alireza Abbaspour; Tejaskumar Balgonda Patil; B Ravi Kiran; Russel Mohr; Senthil Yogamani; | arxiv-cs.AI | 2025-11-11 |
| 201 | Anomaly Detection for Advanced Driver Assistance System with NCDE-based Normalizing Flow Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose Graph Neural Controlled Differential Equation Normalizing Flow (GDFlow), which leverages Normalizing Flow (NF) with Neural Controlled Differential Equations (NCDE) to learn the distribution of normal driving patterns. |
Kangjun Lee; Minha Kim; Youngho Jun; Simon S. Woo; | cikm | 2025-11-10 |
| 202 | ROAR: Robust Accident Recognition and Anticipation for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accurate accident anticipation is essential for enhancing the safety ofautonomous vehicles (AVs). However, existing methods often assume idealconditions, overlooking challenges … |
Xingcheng Liu; Yanchen Guan; Haicheng Liao; Zhengbing He; Zhenning Li; | arxiv-cs.AI | 2025-11-08 |
| 203 | Causal Effects of Road Geometry on Car-Following Behaviour of Autonomous Vehicle Pairs and Human-driven Vehicle Pairs Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study adopted a meta-learner (X-learner) in machine learning to investigate the causal effects of curvature and slope on car-following behaviour. |
Ayobami Adewale; Chris Lee; | Canadian Journal of Civil Engineering | 2025-11-07 |
| 204 | REDOUBT: Duo Safety Validation for Autonomous Vehicle Motion Planning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We introduce REDOUBT, the first systematic safety validation framework for autonomous vehicle motion planning that employs a duo mechanism, simultaneously inspecting input distributions and output uncertainty. |
SHUGUANG WANG et. al. | nips | 2025-11-07 |
| 205 | A Practical Study of An Autonomous Electric Golf Cart for Inter-Building Passenger Mobility Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work presents a fully integrated autonomous platform combining LiDAR, cameras, and IMU sensors for mapping, perception, localization, and control within a drive-by-wire framework, achieving superior coordination in driving, braking, and obstacle avoidance and validated under real campus conditions. |
SURADET TANTRAIRATN et. al. | Applied Sciences | 2025-11-05 |
| 206 | VI-Planning: Infrastructure-Assisted Real-Time Planning Optimization for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Infrastructure-assisted autonomous driving has emerged as a pivotal technology to overcome the challenges posed by occlusions and limited fields of view for individual vehicles. … |
YANG LU et. al. | Proceedings of the 31st Annual International Conference on … | 2025-11-03 |
| 207 | Vehicle Dynamics Oriented Motion Planning Methodology for Autonomous Vehicles Using Iterative Linear Quadratic Regulator Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
JIARUI SONG et. al. | Adv. Eng. Informatics | 2025-11-01 |
| 208 | Decision-Making Strategy of Automated Vehicles in Heterogeneous Scenarios Based on Attention Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving decision-making ability is a key technology for intelligent vehicles. Traditional rule-based autonomous driving decision-making methods set corresponding rules … |
WENXIAO MA et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-11-01 |
| 209 | Longitudinal Car-Following Control of Connected Autonomous Vehicles in Realistic Scenarios: A Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: By exploiting information from surrounding vehicles and road infrastructure, Connected Autonomous Vehicles (CAVs) are widely expected to enable improved traffic safety and … |
Mohit Garg; Mélanie Bouroche; | IEEE Transactions on Intelligent Transportation Systems | 2025-11-01 |
| 210 | Scene-Centric Vehicle Trajectory Prediction at Cooperative Intersection Using Decision-Aware Attention Graph Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Roadside sensors offer a fixed, unobstructed vantage point that can overcome line-of-sight limitations in autonomous driving environments by sharing critical perception data with … |
Behzad Abdi; Zeynab Rokhi; Carlos Vidal; A. Emadi; | IEEE Transactions on Intelligent Transportation Systems | 2025-11-01 |
| 211 | Iterative Learning Distributed Model Predictive Control for Autonomous Vehicle Platoons With Applications to Repetitive Tasks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicle platoons are particularly suitable for repetitive tasks due to their capability for efficient coordination, enhanced safety, and reduced driver fatigue. The … |
Nianhua Zhang; Jicheng Chen; Fernando Viadero-Monasterio; Hui Zhang; | IEEE Transactions on Intelligent Transportation Systems | 2025-11-01 |
| 212 | Robust Wireless Distributed Learning Empowered By Thz Communications Data for Internet of Autonomous Vehicles Agents: Efficient Cluster Driving Decision-Making Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the rapid development of the Internet of autonomous vehicles agents (IAVA), efficient and secure communication has become a key requirement. However, unstable wireless … |
Zihong Li; Jun Wu; Ali Kashif Bashir; Xingwang Li; | IEEE Internet of Things Journal | 2025-11-01 |
| 213 | Vehicle Trajectory Prediction Based on Driver’s Cognitive Mechanism Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The vehicle trajectory prediction (VTP) is important for autonomous vehicle to make decisions. However, it is challenging because of the inherent uncertainty, dynamic nature, and … |
Lisheng Jin; Tao Huang; Zejian Deng; Shucheng Huang; | IEEE Internet of Things Journal | 2025-11-01 |
| 214 | A Survey on Scenario-based Test and Evaluation Methods for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the rapid advancement of autonomous driving technology, traditional mileage-based test methods are no longer suitable for the evaluation needs of autonomous vehicles. In … |
DONGXUAN XIE et. al. | Proceedings of the Institution of Mechanical Engineers, … | 2025-10-29 |
| 215 | Uncertainty-Aware Autonomous Vehicles: Predicting The Road Ahead Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Specifically, the study exploits the ability of Random-SetNeural Networks (RS-NNs) to explicitly quantify prediction uncertainty. |
SHIREEN KUDUKKIL MANCHINGAL et. al. | arxiv-cs.RO | 2025-10-26 |
| 216 | TOXOS: Spinning Up Nonlinearity in On-Vehicle Inference with A RISC-V CORDIC Coprocessor Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While the problem of linear algebra in machine learning is well-addressed by existing accelerators, the computation of nonlinear activation functions is usually delegated to the host CPU, resulting in energy inefficiency and high computational costs. This paper introduces TOXOS, a RISC-V-compliant coprocessor designed to address this challenge. |
Luigi Giuffrida; Guido Masera; Maurizio Martina; | Technologies | 2025-10-21 |
| 217 | CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: While LLM-based approaches offer generalized reasoning capabilities, their challenges in spatial planning and unstable inference latency hinder their direct application in cooperative driving. To address these limitations, we propose CoLMDriver, the first full-pipeline LLM-based cooperative driving system, enabling effective language-based negotiation and real-time driving control. |
Changxing Liu; Genjia Liu; Zijun Wang; Jinchang Yang; Siheng Chen; | iccv | 2025-10-20 |
| 218 | MamV2XCalib: V2X-based Target-less Infrastructure Camera Calibration with State Space Model Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes MamV2XCalib, the first V2X-based infrastructure camera calibration method with the assistance of vehicle-side LiDAR. |
Yaoye Zhu; Zhe Wang; Yan Wang; | iccv | 2025-10-20 |
| 219 | SynAD: Enhancing Real-World End-to-End Autonomous Driving Models Through Synthetic Data Integration Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This is primarily due to the absence of a designated ego vehicle and the associated sensor inputs, such as camera or LiDAR, typically provided in real-world scenarios. To address this gap, we introduce SynAD, the first framework designed to enhance real-world E2E AD models using synthetic data. |
JONGSUK KIM et. al. | iccv | 2025-10-20 |
| 220 | Towards Safer and Understandable Driver Intention Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Successful human-machine interaction requires understanding the underlying representations of the environment and the driving task, which remains a significant challenge in deep learning-based systems. To address this, we introduce the task of interpretability in maneuver prediction before they occur for driver safety, i.e., driver intent prediction (DIP), which plays a critical role in AD systems. |
Mukilan Karuppasamy; Shankar Gangisetty; Shyam Nandan Rai; Carlo Masone; C V Jawahar; | iccv | 2025-10-20 |
| 221 | Where, What, Why: Towards Explainable Driver Attention Prediction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Existing methods primarily predict where drivers look by generating spatial heatmaps, but fail to capture the cognitive motivations behind attention allocation in specific contexts, which limits deeper understanding of attention mechanisms. To bridge this gap, we introduce Explainable Driver Attention Prediction, a novel task paradigm that jointly predicts spatial attention regions (where), parses attended semantics (what), and provides cognitive reasoning for attention allocation (why). |
YUCHEN ZHOU et. al. | iccv | 2025-10-20 |
| 222 | VLR-Driver: Large Vision-Language-Reasoning Models for Embodied Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose VLR-Driver, a novel multi-modal Vision-Language-Reasoning (VLR) framework based on Chain of Thought (CoT) for embodied autonomous driving. |
FANJIE KONG et. al. | iccv | 2025-10-20 |
| 223 | On-Board Vision-Language Models (VLMs) for Personalized Motion Control of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Personalized driving refers to an autonomous vehicle’s ability to adapt its driving behavior or control strategies to match individual users’ preferences and driving styles while … |
CAN CUI et. al. | 2025 IEEE/RSJ International Conference on Intelligent … | 2025-10-19 |
| 224 | ExpliDrive: Bridging Model Predictive Control and Transformers for Interactive Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving (AD) continues to grapple with the complexity of dynamic and interactive traffic environments, where the primary difficulty stems from insufficient modeling of … |
Zhexi Lian; Xuerun Yan; Ruiang Bi; Haoran Wang; Jia Hu; | 2025 IEEE/RSJ International Conference on Intelligent … | 2025-10-19 |
| 225 | Special Issue on Vehicle and Mobile Robot Technology (Part 1) Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: These contributions encompass diverse application domains, including automobiles, ships, mobile robots, and heavy-duty vehicles, which are systematically arranged according to their technical approaches. We would like to express our gratitude to all the authors and reviewers and hope that this special issue will contribute to future research and development in vehicle and mobile robot technology. |
Yuki Minami; Kenji Sawada; Yuichiro Sueoka; Hiroshi Okajima; Kazuma Sekiguchi; | Journal of Robotics and Mechatronics | 2025-10-19 |
| 226 | Gradient-Based Distributed Cruise Control Under Intermittent V2V Communication for Smoothing Traffic Flow Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We study the problem of smoothing traffic flow in a mixed traffic scenario during the cruising phase of vehicles. |
YAN WANG et. al. | Transportation Science | 2025-10-17 |
| 227 | Dude, Where’s My (Autonomous) Car? Defining An Accessible Description Logic for Blind and Low Vision Travelers Using Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Methods: A survey with 202 BLV respondents and interviews with 12 BLVindividuals revealed the perspectives of BLV end-users and informed thesequencing of natural language information required for successful travel.Whereas the survey identified key information needs across the three tripsegments, the interviews helped prioritize how that information should bepresented in a sequence of accessible descriptions to travelers. |
PAUL D. S. FINK et. al. | arxiv-cs.HC | 2025-10-16 |
| 228 | A Comparative Study of Oscillatory Perturbations in Car-Following Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As connected and autonomous vehicles become more widespread, platooning has emerged as a key strategy to improve road capacity, reduce fuel consumption, and enhance traffic flow. … |
Oumaima Barhoumi; G. Farhani; Taufiq Rahman; Mohamed H. Zaki; S. Tahar; | ArXiv | 2025-10-16 |
| 229 | Shared Perception and Edge-Enabled Communication for Autonomous Mobility Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces the architecture and real-world deployment of a collision avoidance system based on shared perception between vehicles and infrastructure in autonomous mobility. |
JOAQUIM RAMOS et. al. | ACM Journal on Autonomous Transportation Systems | 2025-10-16 |
| 230 | Research on Optimisation of Visual Perception Systems for Autonomous Driving of New Energy Vehicles Based on Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Yi Yang; | Australian Journal of Electrical and Electronics Engineering | 2025-10-14 |
| 231 | Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In future intelligent transportation systems, autonomous cooperative planning(ACP), becomes a promising technique to increase the effectiveness and securityof multi-vehicle … |
Shiyao Zhang; Liwei Deng; Shuyu Zhang; Weijie Yuan; Hong Zhang; | arxiv-cs.RO | 2025-10-13 |
| 232 | Robust Driving Control for Autonomous Vehicles: An Intelligent General-sum Constrained Adversarial Reinforcement Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, its vulnerability toadversarial attacks remains a critical barrier to real-world deployment.Although existing robust methods have achieved success, they still suffer fromthree key issues: (i) these methods are trained against myopic adversarialattacks, limiting their abilities to respond to more strategic threats, (ii)they have trouble causing truly safety-critical events (e.g., collisions), butinstead often result in minor consequences, and (iii) these methods canintroduce learning instability and policy drift during training due to the lackof robust constraints. To address these issues, we propose IntelligentGeneral-sum Constrained Adversarial Reinforcement Learning (IGCARL), a novelrobust autonomous driving approach that consists of a strategic targetedadversary and a robust driving agent. |
Junchao Fan; Xiaolin Chang; | arxiv-cs.LG | 2025-10-10 |
| 233 | AI-Powered Autonomous Driving Assistance System: Lane Detection, Traffic Sign Recognition, and Real-Time Hazard Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents an AI-Powered Autonomous Driving Assistance System that combines Computer Vision (CV) and Machine Learning (ML) to provide real-time driving intelligence. |
Dr. C. Murale; Vikram V; Gokul S V; Sakthivel S V; Varun S; | INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING … | 2025-10-10 |
| 234 | A Digital Twin Framework for Metamorphic Testing of Autonomous Driving Systems Using Generative Model Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Traditionaltesting methods face significant limitations, such as the oracle problem, whichmakes it difficult to determine whether a system’s behavior is correct, and theinability to cover the full range of scenarios an autonomous vehicle mayencounter. In this paper, we introduce a digital twin-driven metamorphictesting framework that addresses these challenges by creating a virtual replicaof the self-driving system and its operating environment. |
Tony Zhang; Burak Kantarci; Umair Siddique; | arxiv-cs.RO | 2025-10-08 |
| 235 | HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present a novel hybrid learning-assisted planning method, named HyPlan,for solving the collision-free navigation problem for self-driving cars inpartially observable traffic environments. |
Donald Pfaffmann; Matthias Klusch; Marcel Steinmetz; | arxiv-cs.RO | 2025-10-08 |
| 236 | VeMo: A Lightweight Data-Driven Approach to Model Vehicle Dynamics Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Developing a dynamic model for a high-performance vehicle is a complexproblem that requires extensive structural information about the system underanalysis. |
Girolamo Oddo; Roberto Nuca; Matteo Parsani; | arxiv-cs.RO | 2025-10-08 |
| 237 | Design of A Mi-Autonomous Vehicle for Smart Mobility Solutions Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This project proposes the design, development, and evaluation of an Autonomous Vehicle (AV) prototype aimed at demonstrating the feasibility of low-cost, compact automation for indoor and controlled outdoor environments. |
FEGA ERIC OJEFIA et. al. | World Journal of Advanced Research and Reviews | 2025-10-07 |
| 238 | Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we bridge the gap between thedriving models and generative world models (Drive&Gen) to address thesequestions. |
JIAHAO WANG et. al. | arxiv-cs.CV | 2025-10-07 |
| 239 | Classification of Automated Driving Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Automated driving vehicles are transforming the consumer and military landscapes. Although most of them currently rely on a single, proprietary, embedded system, Software-Defined … |
Bidhya L. Shrestha; Bhargab Acharya; Jonathan Petit; Christos Papadopoulos; | MILCOM 2025 – 2025 IEEE Military Communications Conference … | 2025-10-06 |
| 240 | Enhancing Path Prediction with Eye Movement Data: Deep Learning Applications in Advanced Driver Assistance Systems and Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle trajectory prediction plays a pivotal role in enhancing advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), crucial for collision avoidance, path … |
Shehab Alsanwy; M. C. Qazani; Arian Shajari; Saeid Nahavandi; Houshyar Asadi; | 2025 IEEE International Conference on Systems, Man, and … | 2025-10-05 |
| 241 | Integrating Vision and Language Foundation Models for Enhanced Navigation and Decision-Making in Connected Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Traditional connected autonomous vehicles (CAVs) face challenges in personalized navigation and human-like driving decision-making. In this paper, we propose a self-driving system … |
YAQI HU et. al. | IEEE Transactions on Vehicular Technology | 2025-10-01 |
| 242 | Diffeomorphism-Transformed Iterative Linear Quadratic Regulator for Constrained Motion Planning in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Ensuring safe driving and real-time execution is a crucial requirement in the motion planning process for autonomous vehicles. Hence, there is a compelling demand for advanced … |
ZICHENG ZHU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-10-01 |
| 243 | Collaborative Physics-Informed Neural Dynamics Approach for Autonomous Vehicles With Nonconvex Safety-Critical Constraints Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Increasing complex driving scenarios inevitably expose autonomous vehicles to intricate nonconvex challenges, which are usually simplified or even ignored by current research, … |
Ying Liufu; Long Jin; Yongji Guan; | IEEE Transactions on Intelligent Transportation Systems | 2025-10-01 |
| 244 | A New Longitudinal Speed Control Method for Connected and Automated Vehicle Platooning Under The Influence of Communication Delay Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Connected and automated vehicles (CAV) utilize technologies such as vehicle-to-everything (V2X) to acquire information from neighboring vehicles, effectively enhancing driving … |
Jianghui Wen; Shuai Wang; Min Dai; Nengchao Lyu; | IEEE Transactions on Vehicular Technology | 2025-10-01 |
| 245 | FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Personalized Autonomous Vehicles With Guaranteed Efficiency Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The emerging federated learning enables distributed autonomous vehicles to train equipped deep learning models collaboratively without exposing their raw data, providing great … |
PENGZHAN ZHOU et. al. | IEEE Transactions on Mobile Computing | 2025-10-01 |
| 246 | A Planner-Agnostic Monitor for Behaviour Feasibility of Autonomous Vehicles Using A Bayesian Discriminator Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving (AD) will rely, either fully or partially, on data-driven approaches. As such, being aware of the algorithm limitation is crucial when implementing … |
Yiran Zhang; Zhongxu Hu; Haohan Yang; Shanhe Lou; Chengqi Lv; | IEEE Transactions on Intelligent Transportation Systems | 2025-10-01 |
| 247 | Cooperative Autonomous Driving in Diverse Behavioral Traffic: A Heterogeneous Graph Reinforcement Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper addresses thischallenge by proposing a heterogeneous graph reinforcement learning (GRL)framework enhanced with an expert system to improve AV decision-makingperformance. |
Qi Liu; Xueyuan Li; Zirui Li; Juhui Gim; | arxiv-cs.AI | 2025-09-30 |
| 248 | Less Is More: Lean Yet Powerful Vision-Language Model for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we reconceptualize autonomous driving as a generalized languageand formulate the trajectory planning task as next waypoint prediction. |
Sheng Yang; Tong Zhan; Guancheng Chen; Yanfeng Lu; Jian Wang; | arxiv-cs.CV | 2025-09-29 |
| 249 | An Intention-driven Lane Change Framework Considering Heterogeneous Dynamic Cooperation in Mixed-traffic Environment Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose an intention-driven lane change framework that integratesdriving-style recognition, cooperation-aware decision-making, and coordinatedmotion planning. |
Xiaoyun Qiu; Haichao Liu; Yue Pan; Jun Ma; Xinhu Zheng; | arxiv-cs.RO | 2025-09-26 |
| 250 | Self-driving Cars: Are We There Yet? Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Each offers aunique dataset and challenging planning problems spanning a wide range ofdriving scenarios and conditions. In this study, we present a comprehensivecomparative analysis of the motion planning methods featured on these threeleaderboards. |
MERVE ATASEVER et. al. | arxiv-cs.RO | 2025-09-26 |
| 251 | What Makes A Ready Driver? A Deep Dive Into The Measurement and Validation of Readiness Estimation for Driver Monitoring Systems of Partially Automated (SAE Level 2) Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Recent regulations and Euro NCAP requirements enforcing the inclusion of driver monitoring systems (DMS) in vehicle fleets have substantially increased the demand for a better … |
R. C. GONÇALVES et. al. | Adjunct Proceedings of the 17th International Conference on … | 2025-09-22 |
| 252 | V2V-GoT: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models and Graph-of-Thoughts Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper,we propose a novel graph-of-thoughts framework specifically designed forMLLM-based cooperative autonomous driving. |
HSU-KUANG CHIU et. al. | arxiv-cs.RO | 2025-09-22 |
| 253 | Neural Network and ANFIS Based Auto-adaptive MPC for Path Tracking in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: These factors render classicalcontrollers ineffective, especially for lateral control. Therefore, an adaptiveMPC controller is designed in this paper for the path tracking task, tuned byan improved particle swarm optimization algorithm. |
Yassine Kebbati; Naima Ait-Oufroukh; Vincent Vigneron; Dalil Ichala; | arxiv-cs.RO | 2025-09-21 |
| 254 | Socially Adaptive Autonomous Vehicles: Effects of Contingent Driving Behavior on Drivers’ Experiences Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we investigate how contingentdriving behavior in AVs influences human drivers’ experiences. |
Chishang Yang; Xiang Chang; Debargha Dey; Avi Parush; Wendy Ju; | arxiv-cs.HC | 2025-09-21 |
| 255 | Non-Emergency Notification Timing for Drivers Doing Non-Driving-Related Tasks in Autonomous Vehicles: An Interruptibility Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Future high-level autonomous vehicles (AVs) will enable drivers to engage in non-driving-related tasks (NDRTs) during autopilot. Occasionally, an in-vehicle agent may need to … |
Hongyu Howie Wang; Jiya Gupta; Nikolas Martelaro; | Proceedings of the 17th International Conference on … | 2025-09-21 |
| 256 | Enhancing Passenger Trust Toward Cooperative Autonomous Vehicles Using Simulated Augmented Reality Displays Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Adoption of Fully Autonomous Vehicles (FAVs) depends on trust, which is defined as confidence in a vehicle’s dependability, safety, and predictability. In cooperative driving … |
Hady Ahmed Mohamed Farahat; Malak Sadek; Sherif Aly; K. Elkhodary; Amr Elmougy; | Proceedings of the 17th International Conference on … | 2025-09-21 |
| 257 | MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, existing methods often assume the availability of all datamodalities and connected vehicles during both training and testing, which isimpractical due to potential sensor failures or missing connected vehicles. Toaddress these challenges, we introduce a novel framework MMCD (Multi-ModalCollaborative Decision-making) for connected autonomy. |
RUI LIU et. al. | arxiv-cs.AI | 2025-09-19 |
| 258 | Adversarial Appearance Learning in Augmented Cityscapes for Pedestrian Recognition in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We provide a pipeline for augmentationof the Cityscapes dataset with virtual pedestrians. |
Artem Savkin; Thomas Lapotre; Kevin Strauss; Uzair Akbar; Federico Tombari; | arxiv-cs.CV | 2025-09-16 |
| 259 | Distributed Vehicle Back Propagation Neural Network Cooperative Positioning Method With Fireworks Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This In the context of autonomous driving within vehicular networks, the accuracy of vehicle positioning is crucial for smooth operation. However, single navigation systems, such … |
CHEN TANG et. al. | IEEE Internet of Things Journal | 2025-09-15 |
| 260 | SoK: How Sensor Attacks Disrupt Autonomous Vehicles: An End-to-end Analysis, Challenges, and Missed Threats Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This gap largely stems from the lack of asystematic perspective on how sensor errors propagate through interconnectedmodules in autonomous systems when autonomous vehicles interact with thephysical world. To bridge this gap, we present a comprehensive survey of autonomous vehiclesensor attacks across platforms, sensor modalities, and attack methods. |
Qingzhao Zhang; Shaocheng Luo; Z. Morley Mao; Miroslav Pajic; Michael K. Reiter; | arxiv-cs.CR | 2025-09-14 |
| 261 | Classification of Driver Behaviour Using External Observation Techniques for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The proposed framework employs advanced computer visionmethodologies, including real-time object tracking, lateral displacementanalysis, and lane position monitoring. |
Ian Nell; Shane Gilroy; | arxiv-cs.CV | 2025-09-11 |
| 262 | Review of Scenario Virtual Testing Technology for Autonomous Vehicles: Migration Challenges Between Symmetric Frameworks and Asymmetric Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the rapid development of automated wheeled vehicle technology, complex vehicle functions require extensive safety testing for verification. Compared with real-vehicle … |
Yixiao Chen; Haobing Jiang; Tinggong Sun; | Symmetry | 2025-09-10 |
| 263 | Enhancing Photorealism in Carla Autonomous Driving Simulator Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Simulators are essential in autonomous systems research, providing a controlled test environment for self-driving vehicles, autonomous robots, and unmanned aerial vehicles. … |
Stefanos Pasios; Nikos Nikolaidis; | 2025 33rd European Signal Processing Conference (EUSIPCO) | 2025-09-08 |
| 264 | An Integrated Framework for Network Emulation and Multi-vehicle Algorithm Testing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As drones and autonomous vehicles become integral to smart city infrastructures, there is a growing need for tools that can accurately evaluate their behavior under realistic … |
Mauricio Rodriguez; Ariel Góes de Castro; Ramon Fontes; Fabricio Rodríguez; C. Rothenberg; | Proceedings of the ACM SIGCOMM 2025 Posters and Demos | 2025-09-08 |
| 265 | Evaluating YOLO Architectures: Implications for Real-Time Vehicle Detection in Urban Environments of Bangladesh Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The study identified significant detectionchallenges for rare vehicle classes, with Construction Vehicles and DesiNosimons showing near-zero accuracy due to dataset imbalances and insufficienttraining samples. |
HA MEEM HOSSAIN et. al. | arxiv-cs.CV | 2025-09-06 |
| 266 | Active Fault Tolerant Trajectory-Tracking Control of Autonomous Distributed-Drive Electric Vehicles Considering Steer-by-Wire Failure Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In this paper, the concept of symmetry is utilized to design active fault tolerant trajectory-tracking control of autonomous distributed-drive electric vehicles—that is, the … |
XIANJIAN JIN et. al. | Symmetry | 2025-09-06 |
| 267 | Blockchain-Based Secure Trust Management Scheme for Internet of Vehicles Over Cyber-Physical System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The importance of vehicular networking technology has grown significantly with advancements in autonomous driving and intelligent transportation systems over cyber-physical … |
VENKATA CHUNDURI et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-09-01 |
| 268 | Secure and Efficient Vehicle Control of Autonomous Vehicles Using Federated Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Badr Ben Elallid; Nabil Benamar; Miloud Bagaa; N. Mrani; | Appl. Soft Comput. | 2025-09-01 |
| 269 | Autonomous Driving: Integration of Segmentation and Depth Camera in A Curriculum Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving (AD) entails vehicles that can perceive their surroundings and navigate without human intervention. This involves utilising a combination of sensors and … |
Silvio Barra; Lucia Cimmino; Vincenzo Loia; Michele Nappi; Matteo Polsinelli; | IEEE Internet of Things Journal | 2025-09-01 |
| 270 | Framework of Updating and Interaction for High-definition Maps with Vehicle-road-cloud Context Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the proposal of a Chinese solution for autonomous driving, high-definition (HD) maps have become an important infrastructure for achieving high-level autonomous driving. HD … |
SHEN YING et. al. | International Journal of Digital Earth | 2025-09-01 |
| 271 | Near-Sensor LiDAR and Visual Feature Extraction and Communication for Low-Latency Roadside Cooperative Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving technologies are swiftly evolving, characterized by two main strategies: 1) single-vehicle autonomous driving (SVAD) and 2) vehicle-infrastructure cooperative … |
WEI ZHANG et. al. | IEEE Internet of Things Journal | 2025-09-01 |
| 272 | Scale-Equivariant Object Perception for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In autonomous driving, precise perception of surrounding objects is crucial for ensuring safety. To this end, many advanced object detection models have been developed using … |
T. Cho; Hyeongwoo Nam; Jongeun Choi; | IEEE Transactions on Intelligent Vehicles | 2025-09-01 |
| 273 | MLE-YOLO: A Lightweight and Robust Vehicle and Pedestrian Detector for Adverse Weather in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
DANFENG DU et. al. | Digit. Signal Process. | 2025-09-01 |
| 274 | Assessment and Recognition of Driver Situation Awareness in Conditional Autonomous Driving: Integrating Cognitive Psychology and Machine Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Jing Huang; Ting Liu; Yezi Hu; Zhipeng He; Lin Hu; | J. Ind. Inf. Integr. | 2025-09-01 |
| 275 | Exploring Driving Parameter Settings for Autonomous Vehicles: Considering Travel Efficiency and Safety in Urban Traffic Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study addresses the imperative yet understudied aspect of exploring the simulated driving parameters for autonomous vehicles (AV) to achieve a harmonious balance between … |
GYUNGTAEK OH et. al. | IEEE Transactions on Intelligent Vehicles | 2025-09-01 |
| 276 | Accurate Pose Refinement of Detected Vehicles Using LiDAR Point-to-Surfel ICP and Vehicle Shape Priors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This letter proposes an accurate pose refinement system that integrates point cloud registration and vehicle prior shapes to improve LiDAR-based vehicle pose estimation. For safe … |
Soyeong Kim; Jaeyoung Jo; Jaehwan Lee; Kichun Jo; | IEEE Robotics and Automation Letters | 2025-09-01 |
| 277 | Personalized Decision-Making Framework for Collaborative Lane Change and Speed Control Based on Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving (AD) is critically dependent on intelligent decision-making technology, which is the crucial ingredient in driving safety and overall vehicle performance. And … |
JIANKUN PENG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-09-01 |
| 278 | Safe and Efficient Lane-Changing for Autonomous Vehicles: An Improved Double Quintic Polynomial Approach with Time-to-Collision Evaluation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Thispaper proposes an improved double quintic polynomial approach for safe andefficient lane-changing in mixed traffic environments. |
RUI BAI et. al. | arxiv-cs.RO | 2025-08-30 |
| 279 | Vehicle-in-Virtual-Environment (VVE) Method for Developing and Evaluating VRU Safety of Connected and Autonomous Driving with Focus on Bicyclist Safety Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this two yearproject, we focused on applying the Vehicle in Virtual Environment (VVE) methodto develop, evaluate, and demonstrate safety functions for Vulnerable RoadUsers (VRUs) using automated steering and braking of ADS. In this currentsecond year project report, our primary focus was on enhancing the previousyear results while also considering bicyclist safety. |
Haochong Chen; Xincheng Cao; Bilin Aksun-Guvenc; Levent Guvenc; | arxiv-cs.RO | 2025-08-30 |
| 280 | Mini Autonomous Car Driving Based on 3D Convolutional Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This simplified andcost-effective environment facilitates rapid evaluation and comparison ofmachine learning models, which is particularly useful for algorithms requiringonline training. To address these challenges, this work presents a methodologybased on RGB-D information and three-dimensional convolutional neural networks(3D CNNs) for MAC autonomous driving in simulated environments. |
PABLO MORAES et. al. | arxiv-cs.RO | 2025-08-28 |
| 281 | TRUCE-AV: A Multimodal Dataset for Trust and Comfort Estimation in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a novel multimodal datasetcalled TRUCE-AV, focusing on trust and comfort estimation in autonomousvehicles. |
Aditi Bhalla; Christian Hellert; Enkelejda Kasneci; Nastassja Becker; | arxiv-cs.HC | 2025-08-25 |
| 282 | TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Our objective is to customize the semantic segmentation networkaccording to the computing power and specific scenarios of autonomous drivinghardware. |
JUN LIU et. al. | arxiv-cs.CV | 2025-08-17 |
| 283 | GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this paper, we propose the Interaction Scene Graph (ISG) as a unified method to model the interactions among the ego-vehicle, road agents, and map elements. |
YUNPENG ZHANG et. al. | ijcai | 2025-08-16 |
| 284 | Saliency-Based Attention Shifting: A Framework for Improving Driver Situational Awareness of Out-of-Label Hazards Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose aconceptual framework that combines real-time gaze tracking, context-awaresaliency analysis, and synchronized visual and auditory alerts to enhancesituational awareness, proactively address potential hazards, and fostereffective collaboration between humans and autonomous systems. |
Yousra Shleibik; Jordan Sinclair; Kerstin Haring; | arxiv-cs.RO | 2025-08-15 |
| 285 | Exploring Micro Accidents and Driver Responses in Automated Driving: Insights from Real-world Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: These microaccidents are basic yet pervasive events that might results in more severeaccidents. Through collecting a comprehensive dataset of user generated videorecording such micro accidents in natural driving scenarios, this articlelocates key variables pertaining to environments and autonomous agents usingmachine learning methods. |
Wei Xiang; Chuyue Zhang; Jie Yan; | arxiv-cs.HC | 2025-08-10 |
| 286 | AI-Driven Anticipation of Vehicle Drift Dynamics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Anticipating vehicle drift is crucial for preventing critical driving scenarios, particularly in Autonomous Vehicles (AVs) and Advanced Driver Assistance Systems (ADAS). … |
Inês Rito Lima; Yukie Nagai; José Santos-Victor; | 2025 IEEE International Conference on Omni-layer … | 2025-08-04 |
| 287 | An Evolving Scenario Generation Method Based on Dual-modal Driver Model Trained By Multi-Agent Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper,a multi-agent reinforcement learning (MARL) method is used to train andgenerate a dual-modal driver model (Dual-DM) with non-adversarial andadversarial driving modalities. |
Xinzheng Wu; Junyi Chen; Shaolingfeng Ye; Wei Jiang; Yong Shen; | arxiv-cs.LG | 2025-08-03 |
| 288 | Uncertainty-Aware Safe Trajectory Planner Based on Model Predictive Control for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Safe trajectory planning in uncertain environments is critical for autonomous driving. However, keeping the safety of vehicles under uncertainty is an open and challenging … |
ZHONGYI GUO et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-08-01 |
| 289 | Cross-Scenario Vigilance Detection Based on EEG Analysis for Safety Driving in Autonomous Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Safety driver vigilance is a prerequisite for the safe operation of autonomous vehicles. In contrast to vehicle behavioral trajectory detection, which suffers from high latency … |
DINGCHENG GAO et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-08-01 |
| 290 | Human–Machine Shared Control for Steer-by-Wire Vehicles Using Improved Reinforcement Learning-Based MPC Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To enhance the trajectory tracking capability of steer-by-wire (SBW) vehicles while reducing driver’s workload, a human-machine shared control (HMSC) strategy using improved … |
Han Zhang; Yuhan Liu; Wanzhong Zhao; Chuanping Hu; Jingyi Zhao; | IEEE Transactions on Intelligent Transportation Systems | 2025-08-01 |
| 291 | Perceptual Uncertainty-Aware Motion Planning for Autonomous Driving Based on Adaptive Heuristic Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving has become an inevitable trend in automotive development. Reinforcement Learning (RL) is extensively used in autonomous vehicle motion planning, demonstrating … |
CHUANPING HU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-08-01 |
| 292 | Optimizing AI-Driven Task Management in Autonomous Driving: A Multi-Objective Offloading Approach for Automotive Consumer Electronics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The rapid advancement of AI and the consumerization of technology have significantly reshaped the automotive industry. The integration of large models (LMs) can enhance the … |
Qicheng Wang; Feiyang Cheng; Guoqing Liu; | IEEE Transactions on Consumer Electronics | 2025-08-01 |
| 293 | YOLO-ACE: A Vehicle and Pedestrian Detection Algorithm for Autonomous Driving Scenarios Based on Knowledge Distillation of YOLOv10 IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle and pedestrian detection are critical tasks in autonomous driving, and fast and accurate detection algorithms are of great significance for improving the safety and … |
Yuchen Xie; Danfeng Du; Mengju Bi; | IEEE Internet of Things Journal | 2025-08-01 |
| 294 | Socially-Compliant Hierarchical Human–Vehicle Collaboration With Multimodal Haptic Steering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Advancements in autonomous driving technologies continue to revolutionize transportation, yet the full realization of self-driving vehicles remains hampered by several critical … |
Yiran Zhang; Shanhe Lou; Zhongxu Hu; Jieyu Zhu; Chengqi Lv; | IEEE Transactions on Intelligent Transportation Systems | 2025-08-01 |
| 295 | Autonomous Vehicle Overtaking Trajectory Based on Cubic Bézier Spirals: Analysis Under Multiple Physical Constraints Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper is concerned with the overtaking problem for two autonomous vehicles. Note that the existing related works mainly focus on providing trajectory planning methods for … |
Chong-Xiao Shi; Guang-Hong Yang; | IEEE Transactions on Intelligent Transportation Systems | 2025-08-01 |
| 296 | Incentivizing Cooperative Sensing Sharing Ecosystem for Connected and Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Connected and Autonomous Vehicles (CAVs) increasingly leverage sophisticated sensor systems integrated with emerging technologies like the sixth generation (6G) for enhancing … |
Graduate Student Member Ieee Pincan Zhao; F. I. F. Richard Yu; Member Ieee Yuchuan Fu; Changle Li; | IEEE Transactions on Intelligent Transportation Systems | 2025-08-01 |
| 297 | UMD-Net: A Unified Multi-Task Assistive Driving Network Based on Multimodal Fusion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent years, researchers have focused on identifying tasks related to driver state, traffic environment, and others to enhance the safety of autonomous driving assistance … |
WENZHUO LIU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-08-01 |
| 298 | Joint Prediction of Intention and Trajectory in Automated Driving Using Interactive Dynamic Bayesian Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The prediction of surrounding vehicles’ lane-changing intentions and trajectories is critical to the decision-making of autonomous vehicles. However, the precise trajectory … |
JINBO HAO et. al. | IEEE Transactions on Vehicular Technology | 2025-08-01 |
| 299 | Semantic Hierarchy-Guided Adversarial Attack for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles employ semantic segmentation as a foundational component for perception and scene understanding, upon which driving decisions can be informed. Despite their … |
Gwangbin Kim; Seungjun Kim; | IEEE Robotics and Automation Letters | 2025-08-01 |
| 300 | I2V-GS: Infrastructure-to-Vehicle View Transformation with Gaussian Splatting for Autonomous Driving Data Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a novelmethod, I2V-GS, to transfer the Infrastructure view To the Vehicle view withGaussian Splatting. |
Jialei Chen; Wuhao Xu; Sipeng He; Baoru Huang; Dongchun Ren; | arxiv-cs.CV | 2025-07-31 |
| 301 | Causal-Inspired Multi-Agent Decision-Making Via Graph Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study aims to integrate causallearning with reinforcement learning-based methods by leveraging causaldisentanglement representation learning (CDRL) to identify and extract causalfeatures that influence optimal decision-making in autonomous vehicles. |
Jing Wang; Yan Jin; Fei Ding; Chongfeng Wei; | arxiv-cs.MA | 2025-07-30 |
| 302 | Research Challenges and Progress in The End-to-End V2X Cooperative Autonomous Driving Competition Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: By addressing practical constraints in communicationand data fusion, the challenge contributes to the development of scalable andreliable V2X-cooperative autonomous driving systems. |
RUIYANG HAO et. al. | arxiv-cs.RO | 2025-07-29 |
| 303 | DriveAgent-R1: Advancing VLM-based Autonomous Driving with Hybrid Thinking and Active Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advent of Vision-Language Models (VLMs) has significantly advanced end-to-end autonomous driving, demonstrating powerful reasoning abilities for high-level behavior planning … |
WEICHENG ZHENG et. al. | ArXiv | 2025-07-28 |
| 304 | Model-Structured Neural Networks to Control The Steering Dynamics of Autonomous Race Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Deep learning models, predominantly based onneural networks (NNs), have demonstrated significant potential in modeling thevehicle dynamics and in performing various tasks in autonomous driving.However, their black-box nature is critical in the context of autonomousracing, where safety and robustness demand a thorough understanding of thedecision-making algorithms. |
MATTIA PICCININI et. al. | arxiv-cs.RO | 2025-07-27 |
| 305 | CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios Using Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce CRUISE, a comprehensivereconstruction-and-synthesis framework designed for V2X driving environments.CRUISE employs decomposed Gaussian Splatting to accurately reconstructreal-world scenes while supporting flexible editing. |
HAORAN XU et. al. | arxiv-cs.CV | 2025-07-24 |
| 306 | GenAI for Automotive Software Development: From Requirements to Wheels Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a GenAI-empowered approach to automated development ofautomotive software, with emphasis on autonomous and Advanced Driver AssistanceSystems (ADAS) capabilities. |
NENAD PETROVIC et. al. | arxiv-cs.SE | 2025-07-24 |
| 307 | Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories Using Generative Adversarial Imitation Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose Ctx2TrajGen, acontext-aware trajectory generation framework that synthesizes realistic urbandriving behaviors using GAIL. |
Joobin Jin; Seokjun Hong; Gyeongseon Baek; Yeeun Kim; Byeongjoon Noh; | arxiv-cs.AI | 2025-07-23 |
| 308 | Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study leverages deep generative models to enhance the safetyof autonomous vehicles in an intersection context. |
Juanran Wang; Marc R. Schlichting; Mykel J. Kochenderfer; | arxiv-cs.RO | 2025-07-16 |
| 309 | Optimal Driving Path Analysis Based on Vehicle Characteristics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study provides fundamental data for autonomous vehicles by analyzing vehicles entering a roundabout and deriving the optimal driving path. Using state-of-the-art computer … |
Dokyung Kim; Kwanho Kim; Kanghyun Jo; | 2025 17th International Conference on Human System … | 2025-07-16 |
| 310 | Securing Autonomous Vehicles: An In‐Depth Review of Cyber Attacks and Anomaly Detection Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous Vehicle (AV) initiatives have rapidly grown in recent years, significantly impacting daily life and enhancing transportation safety and efficiency. Autonomous driving … |
Ratnapal Kumarswami Mane; Poonam Sharma; | Expert Systems | 2025-07-15 |
| 311 | Heterogeneous Multiscale Cooperative Perception for Connected Autonomous Vehicles Via V2X Interaction IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Connected autonomous driving and vehicle-to-everything (V2X) technology brings new opportunities for precise perception in occluded and sight-limited environments. The emergence … |
YUANYUAN ZHA et. al. | IEEE Internet of Things Journal | 2025-07-15 |
| 312 | Application Analysis of Time Elastic Band Algorithm in Local Path Planning of Driverless Car Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Mengmeng Duan; Peiyou Xue; Huiqing Jin; Susu Liu; | International Journal of Intelligent Transportation Systems … | 2025-07-12 |
| 313 | STRAP: Spatial-Temporal Risk-Attentive Vehicle Trajectory Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose anovel spatial-temporal risk-attentive trajectory prediction framework thatincorporates a risk potential field to assess perceived risks arising frombehaviors of nearby vehicles. |
Xinyi Ning; Zilin Bian; Dachuan Zuo; Semiha Ergan; | arxiv-cs.LG | 2025-07-11 |
| 314 | Optimizing Autonomous Vehicle Control and Safety with The CLF-CBF-QP Framework for Dynamic Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper investigates the CLF-CBF-QP framework, which combines Control Barrier Functions (CBF) and Control Lyapunov Functions (CLF) to enhance the safety and efficiency of … |
Omar Hamdada; A. Kribèche; Ahmed Chaibet; Orlando Andrianarison; | 2025 International Conference on Control, Automation and … | 2025-07-01 |
| 315 | Enhancing Driving Safety Through Robust Static Output-Feedback Path Tracking and Emergency Braking Control Under Network-Induced Delays Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles represent a transformative technology with the potential to substantially enhance quality of life and revolutionize modern transportation systems. A … |
FERNANDO VIADERO-MONASTERIO et. al. | 2025 International Conference on Control, Automation and … | 2025-07-01 |
| 316 | DSTAnet: A Trajectory Distribution-Aware Spatio-Temporal Attention Network for Vehicle Trajectory Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Trajectory prediction is a crucial task of autonomous driving and benefits vehicles travel safely in complex traffic environments. However, most existing trajectory prediction … |
Taoying Li; Xulei Sun; Quanyu Dong; Ge Guo; | IEEE Transactions on Vehicular Technology | 2025-07-01 |
| 317 | Trust-Based Shared Control of Human–Vehicle System Using Model Free Adaptive Dynamic Programming Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Trust is a critical issue in the field of human-vehicle interaction. In order to improve the efficiency of co-driving system while ensuring the safety and comfort of autonomous … |
CHUAN HU et. al. | IEEE Transactions on Intelligent Vehicles | 2025-07-01 |
| 318 | Game-Theoretic Modeling of Vehicle Unprotected Left Turns Considering Drivers’ Bounded Rationality Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Modeling the decision-making behavior of vehicles presents unique challenges, particularly during unprotected left turns at intersections, where the uncertainty of human drivers … |
Yuansheng Lian; Ke Zhang; Meng Li; Shen Li; | ArXiv | 2025-07-01 |
| 319 | EditFollower: Tunable Car Following Models for Customizable Driving Behavior Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the realm of driving technologies, fully autonomous vehicles have not been widely adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing driving … |
XIANDA CHEN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-07-01 |
| 320 | Single Intersection MPC Traffic Signal Control in Presence of Automated Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This article presents a model predictive control (MPC) approach for the management of traffic lights (TLs) at a single road intersection. The proposed controller incorporates a … |
F. Liberati; Manuel Donsante; A. Tortorelli; | IEEE Transactions on Control Systems Technology | 2025-07-01 |
| 321 | Interaction-Aware and Driving Style-Aware Trajectory Prediction for Heterogeneous Vehicles in Mixed Traffic Environment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Trajectory prediction (TP) of surrounding vehicles (SVs) is crucial for autonomous vehicles (AVs) to understand traffic situations and achieve safe-efficient decision-making and … |
QIXIANG ZHANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-07-01 |
| 322 | An Optimal Obstacle Avoidance Method Using Reinforcement Learning-Based Decision Parameterization for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Due to the complexity and uncertainty of traffic environment and the fragmentation of traditional planning and control strategy, conventional planning and control algorithms have … |
ZHAOBO QIN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-07-01 |
| 323 | Intention-Guided Heuristic Partially Observable Monte Carlo Planning for Off-Ramp Decision-Making of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The Partially Observable Monte Carlo Planning (POMCP) leverages Monte Carlo Tree Search (MCTS) and Particle Filtering (PF) to enhance the computational efficiency in solving … |
Yanbo Chen; Guofu Yan; Huilong Yu; Junqiang Xi; | IEEE Transactions on Intelligent Transportation Systems | 2025-07-01 |
| 324 | Real-Time Driver Monitoring: Implementing FPGA-Accelerated CNNs for Pose Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As autonomous driving technology advances at an unprecedented pace, drivers are experiencing greater freedom within their vehicles, which accelerates the development of various … |
Min-ju Kim; Jaehyuk So; | IEEE Transactions on Very Large Scale Integration (VLSI) … | 2025-07-01 |
| 325 | A Survey on Vision-Language-Action Models for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The rapid progress of multimodal large language models (MLLM) has paved theway for Vision-Language-Action (VLA) paradigms, which integrate visualperception, natural language understanding, and control within a single policy.Researchers in autonomous driving are actively adapting these methods to thevehicle domain. |
SICONG JIANG et. al. | arxiv-cs.CV | 2025-06-30 |
| 326 | Reducing Motion Sickness in Passengers of Autonomous Personal Mobility Vehicles By Presenting A Driving Path Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study investigated the effects of providingpath information on 16 passengers’ head movement behavior and motion sicknesswhile riding an APMV. |
Yuya Ide; Hailong Liu; Takahiro Wada; | arxiv-cs.HC | 2025-06-29 |
| 327 | Cybersecurity-Focused Anomaly Detection in Connected Autonomous Vehicles Using Machine Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study explores an anomaly detection approach by simulatingvehicle behavior, generating a dataset that represents typical and atypicalvehicular interactions. |
PRATHYUSH KUMAR REDDY LEBAKU et. al. | arxiv-cs.LG | 2025-06-28 |
| 328 | SEAL: Vision-Language Model-Based Safe End-to-End Cooperative Autonomous Driving with Adaptive Long-Tail Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Thesechallenges become more critical in cooperative settings, where vehicles andinfrastructure jointly perceive and reason across complex environments. Toaddress these issues, we propose SEAL, a vision-language model-based frameworkwith adaptive multimodal learning for robust cooperative autonomous drivingunder long-tail scenarios. |
JUNWEI YOU et. al. | arxiv-cs.RO | 2025-06-26 |
| 329 | MADrive: Memory-Augmented Driving Scene Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Recent advances in scene reconstruction have pushed toward highly realisticmodeling of autonomous driving (AD) environments using 3D Gaussian splatting.However, the resulting reconstructions remain closely tied to the originalobservations and struggle to support photorealistic synthesis of significantlyaltered or novel driving scenarios. This work introduces MADrive, amemory-augmented reconstruction framework designed to extend the capabilitiesof existing scene reconstruction methods by replacing observed vehicles withvisually similar 3D assets retrieved from a large-scale external memory bank.Specifically, we release MAD-Cars, a curated dataset of ${\sim}70$K 360{\deg}car videos captured in the wild and present a retrieval module that finds themost similar car instances in the memory bank, reconstructs the corresponding3D assets from video, and integrates them into the target scene throughorientation alignment and relighting. |
POLINA KARPIKOVA et. al. | arxiv-cs.CV | 2025-06-26 |
| 330 | Design of Simulation Test System for Autonomous Driving of Intelligent Connected Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In order to solve the challenges current in the existing intelligent connected vehicle autonomous driving simulation test, such as the difficulty in reproducing the real road test … |
Jianwen Shao; Jiamin Huang; Cunbin Zhao; Zhenzhou Ye; Lei Luo; | 2025 IEEE International Workshop on Metrology for … | 2025-06-25 |
| 331 | Safe Control of Autonomous Vehicles in Overtaking Maneuvers Using Game-Theoretic Learning-Based Predictive Controller Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This work proposes a safe control strategy for an autonomous vehicle to overtake a human-driven vehicle (HDV) using a predictive safety filter (PSF) mechanism that hierarchically … |
Shaowei Yuan; Jingjing Jiang; Sarah K. Spurgeon; Boli Chen; | 2025 European Control Conference (ECC) | 2025-06-24 |
| 332 | Analysis of Nash and Stackelberg Equilibria of Autonomous Mobility-on-Demand Systems in Mixed Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper analyzes the differences between Nash and Stackelberg equilibria of Autonomous Mobility-on-Demand (AMoD) systems in mixed traffic conditions, whereby self-driving … |
F. Paparella; Clim Lucas; Carlo Cenedese; Mauro Salazar; | 2025 European Control Conference (ECC) | 2025-06-24 |
| 333 | CCTest: Critical Configuration Testing for Autonomous Driving Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Scenario-based testing is the dominant approach for validating autonomous driving systems (ADS) through simulation. However, generating critical scenarios that effectively uncover … |
Changwen Li; Joseph Sifakis; Rongjie Yan; Jian Zhang; | Proceedings of the 33rd ACM International Conference on the … | 2025-06-23 |
| 334 | DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Overall, this work provides an efficient way toimprove driving policy performance with disengagement cases. |
WEITAO ZHOU et. al. | arxiv-cs.RO | 2025-06-19 |
| 335 | Scene Flow Specifications: Encoding and Monitoring Rich Temporal Safety Properties of Autonomous Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To ensure the safety of autonomous systems, it is imperative for them to abide by their safety properties. The specification of such safety properties is challenging because of … |
Trey Woodlief; Felipe Toledo; Matthew B. Dwyer; Sebastian G. Elbaum; | Proceedings of the ACM on Software Engineering | 2025-06-19 |
| 336 | A Small-Scale Robot for Autonomous Driving: Design, Challenges, and Best Practices Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We discuss methods foraddressing mechanical and electronic issues common to this scale and proposeguidelines for improving reliability and performance. By sharing theseinsights, we aim to expand the utility of small-scale vehicles for testingautonomous driving algorithms and to encourage further research in this domain. |
Hossein Maghsoumi; Yaser Fallah; | arxiv-cs.RO | 2025-06-18 |
| 337 | 6G THz-Semantic Access for Federated Learning Enabled Internet of Unmanned Vehicle Agents Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the advent of 6G and the evolution of vehicular communication networks, the Internet of Vehicles (IoV) is facing unprecedented demands for ultra-high data rates and ultra-low … |
Zihong Li; Guozhi Hao; Zhenni Pan; Jun Wu; | 2025 IEEE 101st Vehicular Technology Conference … | 2025-06-17 |
| 338 | Multipath Transmission System Using Multi-Layer Bandwidth Prediction for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving technologies have attracted much attention to realize smart mobility societies. Autonomous driving strictly requires uninterrupted mobile communications for … |
TAKUYA TOJO et. al. | 2025 IEEE 101st Vehicular Technology Conference … | 2025-06-17 |
| 339 | Latency Analysis of 5G C-V2X Real-Time Video Transmission Over Different Channel States Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: For future applications such as sensor sharing, computation task offloading for autonomous driving, and remote driving, robust real-time video transmission with low latency via … |
Hanyoung Park; Yongjae Jang; Ji-Woong Choi; | 2025 IEEE 101st Vehicular Technology Conference … | 2025-06-17 |
| 340 | A Comparative Analysis of Machine Learning and PID Controllers for Implementing Adaptive Cruise Control in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Adaptive Cruise Control (ACC) is a widely adopted Advanced Driver Assistance System (ADAS) technology that enhances driving comfort and safety. As part of the broader effort to … |
FEDERICO BRAVETTI et. al. | 2025 IEEE International Conference on Smart Computing … | 2025-06-16 |
| 341 | Parameter-Efficient Federated Cooperative Learning for 3-D Object Detection in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the rapidly evolving field of autonomous driving, accurately detecting and understanding dynamic environments remains a challenge. Federated learning (FL) offers a promising … |
Fangyuan Chi; Yixiao Wang; P. Nasiopoulos; Victor C. M. Leung; | IEEE Internet of Things Journal | 2025-06-15 |
| 342 | Learning-Based Optimal Adaptive Resilient Control for Safe Autonomous Driving Under Cyberattacks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The malicious cyberattack in connected automated vehicles leads to a major threat to the safety and security of autonomous driving. Different from traditional approaches which … |
Guoqiang Li; Zhenyang Li; Yu Lu; Zhenpo Wang; | IEEE Internet of Things Journal | 2025-06-15 |
| 343 | BTDS: Blockchain-Enabled Trusted Vehicle Violation Detection By Self-Supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent years, the accelerated advancement of Internet of Vehicles (IoV) technology has significantly enhanced user experiences by providing intelligent services, such as … |
RUI ZHU et. al. | IEEE Internet of Things Journal | 2025-06-15 |
| 344 | Artemis: Contour-Guided 3-D Sensing and Localization With MmWave Radar for Infrastructure-Assisted Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Infrastructure-assisted autonomous driving has become a new paradigm that enables autonomous vehicles to fuse sensor data and improve driving safety, where a key enabling … |
KAIKAI DENG et. al. | IEEE Internet of Things Journal | 2025-06-15 |
| 345 | Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we conduct a survey about the application of foundation models for scenario generation and scenario analysis in autonomous driving (as of May 2025). |
YUAN GAO et. al. | arxiv-cs.RO | 2025-06-13 |
| 346 | Resolve Highway Conflict in Multi-Autonomous Vehicle Controls with Local State Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a Local State Attention module to assist the input state representation. |
Xuan Duy Ta; Bang Giang Le; Thanh Ha Le; Viet Cuong Ta; | arxiv-cs.AI | 2025-06-12 |
| 347 | Drive4C: A Closed-Loop Benchmark on What Foundation Models Really Need to Be Capable of for Language-Guided Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Language-guided autonomous driving has emerged as a promising paradigm in autonomous systems development, leveraging the open-context description, reasoning, and interpretation … |
TIN STRIBOR SOHN et. al. | 2025 IEEE/CVF Conference on Computer Vision and Pattern … | 2025-06-11 |
| 348 | R-CARLA: High-Fidelity Sensor Simulations with Interchangeable Dynamics for Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces R-CARLA, an enhancement of the CARLA simulator that supports holistic full-stack testing, from perception to control, using a single system. |
Maurice Brunner; Edoardo Ghignone; Nicolas Baumann; Michele Magno; | arxiv-cs.RO | 2025-06-11 |
| 349 | UruBots Autonomous Cars Challenge Pro Team Description Paper for FIRA 2025 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper describes the development of an autonomous car by the UruBots team for the 2025 FIRA Autonomous Cars Challenge (Pro). |
PABLO MORAES et. al. | arxiv-cs.RO | 2025-06-08 |
| 350 | Driving Control in Autonomous Vehicles: An AI-Empowered Safety-Centric Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Ensuring safety in autonomous driving requires robust systems capable of detecting and mitigating dangerous driving behaviors in real time. This paper proposes an AI-powered … |
Tinhinane Chenache; K. Zizi; Siham Bouchelaghem; Sofiane Aissani; Mawloud Omar; | 2025 20th Annual System of Systems Engineering Conference … | 2025-06-08 |
| 351 | S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To this end, we propose S4-Driver, a scalable self-supervised motion planning algorithm with spatio-temporal visual representation, based on the popular PaLI multimodal large language model. |
YICHEN XIE et. al. | cvpr | 2025-06-07 |
| 352 | Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in A Driving Scene Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present the very first solution, using a combination of synthetic collaborative data and real ego-car data. |
TAI-YU PAN et. al. | cvpr | 2025-06-07 |
| 353 | SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: While 3D Gaussian Splatting (3DGS) enables real-time rendering, current methods are limited to camera data and are unable to render lidar data essential for autonomous driving. To address these limitations, we propose SplatAD, the first 3DGS-based method for realistic, real-time rendering of dynamic scenes for both camera and lidar data. |
Georg Hess; Carl Lindström; Maryam Fatemi; Christoffer Petersson; Lennart Svensson; | cvpr | 2025-06-07 |
| 354 | Optimization of Autonomous Vehicle Safe Passage at Intersections Based on Crossing Risk Degree Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the context of autonomous driving, ensuring safe passage at intersections is of significant importance. An effective method is necessary to optimize the passage rights of … |
Jiajun Shen; Yu Wang; Haoyu Wang; Chunxiao Li; | Symmetry | 2025-06-06 |
| 355 | Self Driving Algorithm for An Active Four Wheel Drive Racecar Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We employ the Proximal Policy Optimization (PPO) algorithm to train an agent for optimal lap times in a simulated racecar (TORCS) at the tire grip limit. |
Gergely Bari; Laszlo Palkovics; | arxiv-cs.RO | 2025-06-06 |
| 356 | STSBench: A Spatio-temporal Scenario Benchmark for Multi-modal Large Language Models in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We introduce STSBench, a scenario-based framework to benchmark the holistic understanding of vision-language models (VLMs) for autonomous driving. |
CHRISTIAN FRUHWIRTH-REISINGER et. al. | arxiv-cs.CV | 2025-06-06 |
| 357 | Real-Time LPV-Based Non-Linear Model Predictive Control for Robust Trajectory Tracking in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the development and implementation of a Model Predictive Control (MPC) framework for trajectory tracking in autonomous vehicles under diverse driving conditions. |
Nitish Kumar; Rajalakshmi Pachamuthu; | arxiv-cs.RO | 2025-06-05 |
| 358 | Your Interface, Your Control: Adapting Takeover Requests for Seamless Handover in Semi-Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, previous work has focused on static warning systems that do not accommodate different driver states. Therefore, we propose an adaptive takeover warning system that is personalised to drivers, enhancing their experience and safety. |
AMR GOMAA et. al. | arxiv-cs.HC | 2025-06-02 |
| 359 | Reinforcement Learning for Robust Advisories Under Driving Compliance Errors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: There has been considerable interest in recent years regarding how a small fraction of autonomous vehicles (AVs) can mitigate traffic congestion. However, the reality of … |
Jeongyun Kim; Jung-Hoon Cho; Cathy Wu; | IEEE Transactions on Intelligent Transportation Systems | 2025-06-01 |
| 360 | Toward AI-Powered Edge Intelligence for Object Detection in Self-Driving Cars: Enhancing IoV Efficiency and Safety Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the rapidly advancing field of intelligent transportation systems, integrating artificial intelligence (AI) with edge computing presents a promising way to enhance the safety … |
Imran Ahmed; Misbah Ahmad; M. U. R. Siddiqi; Abdellah Chehri; Gwangil Jeon; | IEEE Internet of Things Journal | 2025-06-01 |
| 361 | Multiagent Sensor Integration and Knowledge Distillation System for Real-Time Autonomous Vehicle Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This article introduces a comprehensive multiagent prototype system designed to enhance the autonomous navigation capabilities of vehicles by incorporating numerous sensors and … |
MOHAMMAD HIJJI et. al. | IEEE Systems Journal | 2025-06-01 |
| 362 | Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper designs RSR-RSMARL, anovel Robust and Safe MARL framework that supports Real-Sim-Real (RSR) policyadaptation for multi-agent systems with communication among agents, with bothsimulation and hardware demonstrations. |
KESHAWN SMITH et. al. | arxiv-cs.RO | 2025-06-01 |
| 363 | Autonomous Vehicles: The Critical Role of Vehicle Sensors [Automotive Electronics] Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
J. P. Trovão; | IEEE Veh. Technol. Mag. | 2025-06-01 |
| 364 | Mixed Motivation Driven Social Multi-Agent Reinforcement Learning for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Despite great achievement has been made in autonomous driving technologies, autonomous vehicles (AVs) still exhibit limitations in intelligence and lack social coordination, which … |
Long Chen; Peng Deng; Lingxi Li; Xuemin Hu; | IEEE/CAA Journal of Automatica Sinica | 2025-06-01 |
| 365 | Episodic Future Thinking With Offline Reinforcement Learning for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The Internet of Vehicles (IoV) is a network that connects various transportation devices, where autonomous vehicles play a crucial role. These vehicles must be able to coexist and … |
Dongsu Lee; Minhae Kwon; | IEEE Internet of Things Journal | 2025-06-01 |
| 366 | Improved Deep Reinforcement Learning for Efficient Motion Control of Autonomous Vehicle With Domain-Centralized Electronic and Electrical Architecture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the rapid development of intelligent connected vehicles, the domain-based electronic and electrical (E/E) architecture is providing the potential upgrade for the autonomous … |
Guodong Du; Yuan Zou; Xudong Zhang; Jie Fan; | IEEE Internet of Things Journal | 2025-06-01 |
| 367 | An Integrated Network-Computing Load Balancing Simulator for VEC-Assisted Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Achievement of offloaded analytics services through vehicle edge computing (VEC) requires a comprehensive analysis of in-vehicle processing and network environments. However, … |
JEONGHO KWAK et. al. | IEEE Communications Magazine | 2025-06-01 |
| 368 | Takeover Time Prediction for Conditionally Automated Driving Vehicles: Considering Mixed Traffic Flow Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The length of time for drivers to take over conditionally automated driving vehicles (CADV) is often influenced by numerous factors, especially the mixed traffic flow environment. … |
QINGCHAO LIU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-06-01 |
| 369 | Improving Multi-Vehicle Perception Fusion with Millimeter-Wave Radar Assistance Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To this end, we present MMatch, a lightweight system that enables accurate and real-time perception fusion with mmWave radar point clouds. |
Zhiqing Luo; Yi Wang; Yingying He; Wei Wang; | arxiv-cs.RO | 2025-06-01 |
| 370 | AWML: An Open-Source ML-based Robotics Perception Framework to Deploy for ROS-based Autonomous Driving Software Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we introduce AWML, a framework designed to support MLOps for robotics. |
SATOSHI TANAKA et. al. | arxiv-cs.RO | 2025-05-31 |
| 371 | S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To this end, we propose S4-Driver, a scalable self-supervised motion planning algorithm with spatio-temporal visual representation, based on the popular PaLI multimodal large language model. |
YICHEN XIE et. al. | arxiv-cs.CV | 2025-05-29 |
| 372 | GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Current approaches exhibit deficiencies in maintaining robust 3D geometric consistency or accumulating artifacts during occlusion handling, both critical for reliable safety assessment in autonomous navigation tasks. To address this, we introduce GeoDrive, which explicitly integrates robust 3D geometry conditions into driving world models to enhance spatial understanding and action controllability. |
ANTHONY CHEN et. al. | arxiv-cs.CV | 2025-05-28 |
| 373 | Generalized Coordination of Partially Cooperative Urban Traffic Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this article, we present a novel cooperative maneuver planning approach that is generalized to various situations found in urban traffic. |
Max Bastian Mertens; Michael Buchholz; | arxiv-cs.RO | 2025-05-27 |
| 374 | A Simulation-based Testing Framework for Autonomous Driving: Ensuring Realism and Priority of Test Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous Vehicles (AVs) require extensive testing to ensure their safe integration onto public roads. Simulation provides a viable approach for AV testing, with the fidelity of … |
Yuening Hu; Dan Zhao; | Journal of Intelligent Transportation Systems | 2025-05-26 |
| 375 | Towards Natural Language Communication for Cooperative Autonomous Driving Via Self-Play Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we propose a suite of traffic tasks in autonomous driving where vehicles in a traffic scenario need to communicate in natural language to facilitate coordination in order to avoid an imminent collision and/or support efficient traffic flow. |
JIAXUN CUI et. al. | arxiv-cs.RO | 2025-05-23 |
| 376 | ConvoyNext: A Scalable Testbed Platform for Cooperative Autonomous Vehicle Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Despite these potential benefits, real-world testing of such systems remains a major challenge and is essential for validating control strategies, trajectory modeling methods, and communication robustness across diverse environments. To address this need, we introduce ConvoyNext, a scalable, modular, and extensible platform tailored for the real-world evaluation of cooperative driving behaviors. |
Hossein Maghsoumi; Yaser Fallah; | arxiv-cs.RO | 2025-05-22 |
| 377 | Behavioral Safety Assessment Towards Large-scale Deployment of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Traditional functional safety approaches, which primarily verify the reliability, robustness, and adequacy of AV hardware and software systems from a vehicle-centric perspective, do not sufficiently address the AV’s broader interactions and behavioral impact on the surrounding traffic environment. To overcome this limitation, we propose a paradigm shift toward behavioral safety, a comprehensive approach focused on evaluating AV responses and interactions within traffic environment. |
HENRY X. LIU et. al. | arxiv-cs.RO | 2025-05-22 |
| 378 | Learning-based Autonomous Oversteer Control and Collision Avoidance Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a novel end-to-end (E2E) autonomous driving approach that tackles oversteer control and collision avoidance simultaneously. |
Seokjun Lee; Seung-Hyun Kong; | arxiv-cs.RO | 2025-05-21 |
| 379 | Local Minima Prediction Using Dynamic Bayesian Filtering for UGV Navigation in Unstructured Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper develops a method to proactively predict local minima using Dynamic Bayesian filtering, based on the detected obstacles in the local view and the global goal. This approach aims to enhance the autonomous navigation of self-driving vehicles by allowing them to predict potential pitfalls before they get stuck, and either ask for help from a human, or re-plan an alternate trajectory. |
Seung Hun Lee; Wonse Jo; Lionel P. Robert Jr.; Dawn M. Tilbury; | arxiv-cs.RO | 2025-05-20 |
| 380 | D4+: Emergent Adversarial Driving Maneuvers with Approximate Functional Optimization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This problem is exacerbated in adversarial environments, where an attacker can control the environment surrounding autonomous vehicles to exploit vulnerabilities. To preemptively identify vulnerabilities in these systems, in this paper, we implement a scenario-based framework with a formal method to identify the impact of malicious drivers interacting with autonomous vehicles. |
DIEGO ORTIZ BARBOSA et. al. | arxiv-cs.CR | 2025-05-20 |
| 381 | LLM-Powered Cooperative Perception Framework for Mixed UAV-Vehicle Platoons Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This research presents a novel cooperative perception framework that integrates Unmanned Aerial Vehicles (UAVs) and ground vehicles to enhance autonomous driving capabilities. The … |
J. Curtò; I. D. Zarzà; | 2025 10th International Conference on Fog and Mobile Edge … | 2025-05-19 |
| 382 | Intelligence Evaluation Methods for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The rapid advancement of artificial intelligence has significantly enhanced the intelligence of autonomous vehicles (AVs). However, owing to the complexity of AV behavior and the … |
Jun Zhou; Lin Wang; Qiang Meng; Xiaofan Wang; | 2025 IEEE International Conference on Robotics and … | 2025-05-19 |
| 383 | REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes REACT (Runtime-Enabled Active Collision-avoidance Technique), a closed-loop framework that integrates risk assessment with active avoidance control. |
HEYE HUANG et. al. | arxiv-cs.RO | 2025-05-16 |
| 384 | Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We introduce an approach to velocity estimation that is decoupled from wheel-to-surface traction assumptions by leveraging planar kinematics in combination with optical flow from event cameras pointed perpendicularly at the ground. |
Liam Boyle; Jonas Kühne; Nicolas Baumann; Niklas Bastuck; Michele Magno; | arxiv-cs.RO | 2025-05-16 |
| 385 | Application of YOLOv8 in Monocular Downward Multiple Car Target Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: By integrating structuralreparameterization technology, a bidirectional pyramid structure network model,and a novel detection pipeline into the YOLOv8 framework, the proposed approachachieves highly efficient and precise detection of multi-scale, small, andremote objects. Experimental results demonstrate that the enhanced model caneffectively detect both large and small objects with a detection accuracy of65%, showcasing significant advancements over traditional methods.This improvedmodel holds substantial potential for real-world applications and iswell-suited for autonomous driving competitions, such as the Formula StudentAutonomous China (FSAC), particularly excelling in scenarios involvingsingle-target and small-object detection. |
Shijie Lyu; | arxiv-cs.CV | 2025-05-15 |
| 386 | YOLO-FSE: An Improved Target Detection Algorithm for Vehicles in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Real-time object detection plays a critical role in advancing autonomous driving technologies. To meet the demands for real-time performance, a lightweight model is essential to … |
TAO XUE et. al. | IEEE Internet of Things Journal | 2025-05-15 |
| 387 | A Multiscale Model Based on Squeeze-and-Excitation Network for Classifying Obstacles in Front of Vehicles in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving can enhance travel efficiency and reduce traffic accidents. An essential aspect of autonomous driving research is the identification of obstacles in front of … |
Shuzhi Liu; Meng Liu; Yan Wu; Zaishuo Li; Yu Xiao; | IEEE Internet of Things Journal | 2025-05-15 |
| 388 | OpenLKA: An Open Dataset of Lane Keeping Assist from Recent Car Models Under Real-world Driving Conditions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This paper presents OpenLKA, the first open, large-scale dataset for LKA evaluation and improvement. |
Yuhang Wang; Abdulaziz Alhuraish; Shengming Yuan; Hao Zhou; | arxiv-cs.CV | 2025-05-13 |
| 389 | Explaining Autonomous Vehicles with Intention-aware Policy Graphs Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose a post-hoc, model-agnostic solution to provide teleological explanations for the behaviour of an autonomous vehicle in urban environments. |
Sara Montese; Victor Gimenez-Abalos; Atia Cortés; Ulises Cortés; Sergio Alvarez-Napagao; | arxiv-cs.AI | 2025-05-13 |
| 390 | Interface Design for Visual Blind Spots in Cooperative Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Visual blind spots caused by occlusion from lead vehicles represent a significant latent risk factor contributing to traffic accidents. Although Level 2 (L2) autonomous driving … |
Boyi Liu; Jun Zhang; Y. Luximon; | Behaviour & Information Technology | 2025-05-12 |
| 391 | M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We introduce M$^3$CAD, a novel benchmark designed to advance research in generic cooperative autonomous driving. |
MORUI ZHU et. al. | arxiv-cs.RO | 2025-05-10 |
| 392 | PaniCar: Securing The Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this research, we unveil PaniCar, a digital phenomenon that causes an object detector’s confidence score to fluctuate below detection thresholds when exposed to activated emergency vehicle lighting. |
ELAD FELDMAN et. al. | arxiv-cs.CV | 2025-05-08 |
| 393 | X-Driver: Explainable Autonomous Driving with Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce X-Driver, a unified multi-modal large language models(MLLMs) framework designed for closed-loop autonomous driving, leveraging Chain-of-Thought(CoT) and autoregressive modeling to enhance perception and decision-making. |
WEI LIU et. al. | arxiv-cs.RO | 2025-05-08 |
| 394 | Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Human drivers exhibit individual preferences regarding driving style.Adapting autonomous vehicles to these preferences is essential for user trustand satisfaction. However, … |
Hendrik Surmann; Jorge de Heuvel; Maren Bennewitz; | arxiv-cs.RO | 2025-05-08 |
| 395 | Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a novel roadside unit (RSU)-centric cooperative driving system leveraging global perception and vehicle-to-infrastructure (V2I) communication. |
Taoyuan Yu; Kui Wang; Zongdian Li; Tao Yu; Kei Sakaguchi; | arxiv-cs.RO | 2025-05-07 |
| 396 | SIM-LDM: Local Dynamic Map Generation Framework Using Autonomous Driving Simulator Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The widespread adoption of autonomous driving systems underscores their potential to solve societal challenges, such as the shortage of drivers for cargo transport. However, … |
Shunsuke Ito; Ryo Okamura; Chaoran Zhao; Takuya Azumi; | Proceedings of the 4th International Workshop on Real-time … | 2025-05-06 |
| 397 | Brief Industry Paper: STM-A Static Non-Preemptive Scheduler for NVIDIA Tegra SoCs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper introduces System Task Manager (STM), a static, centrally monitored, OS-agnostic, non-preemptive scheduler that manages work across hardware engines on NVIDIA Tegra … |
ALBERT DAVIES et. al. | 2025 IEEE 31st Real-Time and Embedded Technology and … | 2025-05-06 |
| 398 | Frenet Corridor Planner: An Optimal Local Path Planning Framework for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While a global route can be pre-computed offline, real-time generation of adaptive local paths remains crucial. Therefore, we present the Frenet Corridor Planner (FCP), an optimization-based local path planning strategy for autonomous driving that ensures smooth and safe navigation around obstacles. |
Faizan M. Tariq; Zheng-Hang Yeh; Avinash Singh; David Isele; Sangjae Bae; | arxiv-cs.RO | 2025-05-06 |
| 399 | Risk Assessment and Threat Modeling for Safe Autonomous Driving Technology Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This research endeavors to develop a comprehensive threat model for AV systems, employing OWASP Threat Dragon and the STRIDE framework. |
Ian Alexis Wong Paz; Anuvinda Balan; Sebastian Campos; Ehud Orenstain; Sudip Dhakal; | arxiv-cs.CR | 2025-05-04 |
| 400 | Edge-Assisted Object Perception for Autonomous Vehicles Under Challenging Exposure and Blur Conditions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the rapid advancements in machine learning (ML) and computing power, we have witnessed extensive deployment and testing of autonomous vehicles globally. By deploying ML … |
Qiren Wang; Yongtao Yao; Weisong Shi; | 2025 IEEE 3rd International Conference on Mobility, … | 2025-05-04 |
| 401 | DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We introduce DriveAgent, a novel multi-agent autonomous driving framework that leverages large language model (LLM) reasoning combined with multimodal sensor fusion to enhance situational understanding and decision-making. |
XINMENG HOU et. al. | arxiv-cs.RO | 2025-05-04 |
| 402 | Demo: Cooperative V2X Communications and Sensing for Autonomous Mobility Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous mobility increasingly depends on external data sources to enhance safety and operational efficiency. This work showcases a groundbreaking integration of cooperative … |
João Amaral; Andreia Figueiredo; P. Rito; Susana Sargento; | 2025 IEEE 3rd International Conference on Mobility, … | 2025-05-04 |
| 403 | DriveNetBench: An Affordable and Configurable Single-Camera Benchmarking System for Autonomous Driving Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Through preliminary experiments with representative vision models, we illustrate how DriveNetBench effectively measures inference speed and accuracy within a controlled test environment. The key contributions of this work include its affordability, its replicability through open-source software, and its seamless integration into existing workflows, making autonomous vehicle research more accessible. |
Ali Al-Bustami; Humberto Ruiz-Ochoa; Jaerock Kwon; | arxiv-cs.RO | 2025-05-03 |
| 404 | Advancing Robustness and Privacy in Federated Learning for Secure Autonomous Vehicle Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The rapid development of Autonomous Vehicle Systems (AVS) is transforming transportation, enabling safer, more efficient mobility. However, ensuring the security and privacy of … |
Hajar Moudoud; Zakaria Abou El Houda; Bouziane Brik; Mian Ahmad Jan; Bandar Alshawi; | IEEE Transactions on Consumer Electronics | 2025-05-01 |
| 405 | Distributed Cooperative Control and Robust Optimization for Nonlinear Connected Automated Vehicles With Unknown Reaction Time Delays and Jerk Dynamics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In complex traffic environments, the driving performance of the leader vehicle in a platoon can be greatly impacted by sudden and unexpected changes in vehicle acceleration rates. … |
Bohui Wang; Chao Shen; Chenhao Lin; Chao Deng; Yang Shi; | IEEE Transactions on Intelligent Transportation Systems | 2025-05-01 |
| 406 | Generative Diffusion-Based Contract Design for Efficient AI Twin Migration in Vehicular Embodied AI Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Embodied Artificial Intelligence (AI) bridges the cyberspace and the physical space, driving advancements in autonomous systems like the Vehicular Embodied AI NETwork (VEANET). … |
YUE ZHONG et. al. | IEEE Transactions on Mobile Computing | 2025-05-01 |
| 407 | A Decentralized Signal-Free Intersection Control Framework for Connected and Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The potential application of connected and autonomous vehicles (CAVs) enables signal-free intersection control, which can be further enhanced by decentralized strategies. This … |
Hao Guan; Qiao-wen Bai; Qiang Meng; | IEEE Transactions on Consumer Electronics | 2025-05-01 |
| 408 | LEAD: Learning-Enhanced Adaptive Decision-Making for Autonomous Driving in Dynamic Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes a Learning-Enhanced Adaptive Decision-Making (LEAD) framework for autonomous vehicles (AVs) focusing on dynamic merging scenarios. To capture the competitive … |
HEYE HUANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-05-01 |
| 409 | A Vehicle Driving Intention Prediction Method Based on Gated Dual Tower Transformer Model for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
XULIANG GUO et. al. | Expert Syst. Appl. | 2025-05-01 |
| 410 | Interactive Decision-Making Integrating Graph Neural Networks and Model Predictive Control for Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Driving on public roads is inherently an interactive task, i.e., autonomous vehicles’ (AVs) actions will influence nearby traffic participants’ reactions, and vice versa. … |
Kai Yang; Shen Li; Ming Wang; Xiaolin Tang; | IEEE Transactions on Intelligent Transportation Systems | 2025-05-01 |
| 411 | Stability Control of Autonomous Vehicles Sliding Mode Control Using LSTM Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The development of Industry 5.0 technology has promoted the increasing application of autonomous driving technology in Intelligent Transportation Systems (ITS), which has greatly … |
Qianqian Zhang; Hai Wang; Yingfeng Cai; Xiaoqiang Sun; Long Chen; | IEEE Transactions on Consumer Electronics | 2025-05-01 |
| 412 | Improved Virtual Vehicles Design for On-Ramp Cooperative Merging Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Virtual vehicle design has received a lot of attention recently and is commonly used to assist connected and autonomous vehicles (CAVs) in achieving cooperative merging. However, … |
Shihui Wang; Zhao Min; Sun Dihua; Liuping Wang; | IEEE Transactions on Intelligent Transportation Systems | 2025-05-01 |
| 413 | Design and Control of Personalized Steering Feel for Steer-by-Wire Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The realization of personalized steering feel plays a crucial role in prompting the widespread adoption and driver acceptance of autonomous vehicles (AVs). Since human drivers … |
Qingya Zhou; Liang Liu; Zhaoping Xu; Xianhui Wang; | IEEE Transactions on Intelligent Transportation Systems | 2025-05-01 |
| 414 | Toward Human-Vehicle Collaboration for Automated Vehicles: A Review and Perspective IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The human-vehicle collaboration in automated vehicles is an effective transitional means to overcome the difficulty of rapidly transitioning to a highly automated level of … |
TAO HUANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-05-01 |
| 415 | Toward Cooperative Driving Among Heterogeneous CAVs: A Safe Multi-Agent Reinforcement Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the advancement of Intelligent Transportation Systems and Vehicle-to-Everything communication technologies, the future traffic scenario is anticipated to be a mixed … |
Yue Pan; Jinlong Lei; Peng Yi; Lulu Guo; Hong Chen; | IEEE Transactions on Intelligent Vehicles | 2025-05-01 |
| 416 | Lights As Points: Learning to Look at Vehicle Substructures With Anchor-Free Object Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle detection is a paramount task for safe autonomous driving, as the ego-vehicle must localize other surrounding vehicles for safe navigation. Unlike other traffic agents, … |
Maitrayee Keskar; Ross Greer; Akshay Gopalkrishnan; Nachiket Deo; Mohan M. Trivedi; | IEEE Robotics and Automation Letters | 2025-05-01 |
| 417 | Comparing Car-Following Behavior Patterns of Human-Driven Vehicles and Autonomous Vehicles in A Mixed Traffic Environment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Human-driven Vehicles (HVs) and Autonomous Vehicles (AVs) will inevitably coexist in the future, resulting in mixed traffic conditions. Modeling car-following behavior in such … |
Shuning Tang; Yajie Zou; Shubo Wu; Yuanchang Xie; Yunlong Zhang; | IEEE Transactions on Intelligent Transportation Systems | 2025-05-01 |
| 418 | Vehicle Trajectory Prediction By Integrating Data-Driven and Knowledge-Guided Technique Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the context of autonomous driving, acquiring the trajectories of surrounding vehicles in advance by autonomous vehicles is a crucial factor in ensuring high-level road safety. … |
Jinghua Guo; Zhifei He; Huinian Wang; Jingyao Wang; Keqiang Li; | IEEE Transactions on Intelligent Transportation Systems | 2025-05-01 |
| 419 | Optimizing Content Cache With Vehicular Edge Computing: A Deep Federated Learning-Based Novel Predictive Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes an innovative framework for enhancing vehicular edge computing (VEC) efficiency by addressing challenges in traditional intelligent transportation systems and … |
Azan Ali Khan; Basharat Hussain; Muhammad Islam; M. M. A. Dabel; Ali Kashif Bashir; | IEEE Transactions on Consumer Electronics | 2025-05-01 |
| 420 | Driving Safety Risk Analysis and Assessment in A Mixed Driving Environment of Connected and Non-Connected Vehicles: A Systematic Survey IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the continuous development of intelligent networks and autonomous driving technologies, heterogeneous traffic flow represented by conventional vehicles (CV), autonomous … |
ZEYANG CHENG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-05-01 |
| 421 | A Vehicle Trajectory Prediction Model for Map-Free Scenes Using The Spatiotemporal Attentional Mechanism Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The vehicle trajectory prediction is crucial for autonomous driving. The vast majority of existing trajectory prediction schemes depend on high definition (HD) maps. However, the … |
YINGJUN HOU et. al. | IEEE Internet of Things Journal | 2025-05-01 |
| 422 | Digital Twin-Empowered Cooperative Autonomous Car-sharing Services: Proof-of-Concept Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a digital twin-empowered real-time optimal delivery system specifically validated through a proof-of-concept (PoC) demonstration of a real-world autonomous car-sharing service. |
Kazuma Nonomura; Kui Wang; Zongdian Li; Tao Yu; Kei Sakaguchi; | arxiv-cs.OH | 2025-04-29 |
| 423 | Composite Safety Potential Field for Highway Driving Risk Assessment IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Additionally, they struggle to generalize across both longitudinal and lateral risks. To address these challenges, we propose a composite safety potential field framework, namely C-SPF, involving a subjective field to capture drivers’ risk perception about spatial proximity and an objective field to quantify the imminent collision probability, to comprehensively evaluate driving risks. |
Dachuan Zuo; Zilin Bian; Fan Zuo; Kaan Ozbay; | arxiv-cs.RO | 2025-04-29 |
| 424 | Semantic LiDAR Point Cloud Mapping and Cloud-Based SLAM for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a strategy towards reliable LiDAR-based navigation for applications as self-driving cars in urban canyons with limited GNSS availability. The general idea is a … |
F. Andert; Oliver Böttcher; Aditya Mushyam; Philipp Schmälzle; | 2025 IEEE/ION Position, Location and Navigation Symposium … | 2025-04-28 |
| 425 | Cybersecurity for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: By analyzing the current cybersecurity landscape and suggesting practical countermeasures, this paper aims to contribute to the safe development and public trust of autonomous vehicle technology. |
Sai varun reddy Bhemavarapu; | arxiv-cs.CR | 2025-04-28 |
| 426 | Imitation Learning for Autonomous Driving: Insights from Real-World Testing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this study, we design and compare various DNNs, to identify the most effective approach for real-time autonomous driving. |
Hidayet Ersin Dursun; Yusuf Güven; Tufan Kumbasar; | arxiv-cs.RO | 2025-04-26 |
| 427 | Safety Interventions Against Adversarial Patches in An Open-Source Driver Assistance System Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we evaluate the resilience ofa widely used ADAS against safety-critical attacks that target perceptioninputs. |
CHENG CHEN et. al. | arxiv-cs.CR | 2025-04-26 |
| 428 | Advanced Longitudinal Control and Collision Avoidance for High-Risk Edge Cases in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This shortfall often leads to chain reaction collisions in high speed, densely spaced traffic particularly when a middle vehicle suddenly brakes and trailing vehicles cannot respond in time. To address this critical gap, we propose a novel longitudinal control and collision avoidance algorithm that integrates adaptive cruising with emergency braking. |
Dianwei Chen; Yaobang Gong; Xianfeng Yang; | arxiv-cs.RO | 2025-04-26 |
| 429 | Around The World in 60 Cyclists: Evaluating Autonomous Vehicle-Cyclist Interfaces Across Cultures Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Cultural differences influence how cyclists and drivers interact, affecting global autonomous vehicle (AV) adoption. AV-cyclist interfaces are needed to clarify AV intentions and … |
Ammar Al-Taie; Andrii Matviienko; Joseph O’Hagan; Frank Pollick; S. Brewster; | Proceedings of the 2025 CHI Conference on Human Factors in … | 2025-04-25 |
| 430 | The Autonomous Software Stack of The FRED-003C: The Development That Led to Full-Scale Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This article presents the software stack developed by BME Formula Racing Team, that formed the foundation of the development that ultimately led us to full-scale autonomous racing. |
ZALÁN DEMETER et. al. | arxiv-cs.RO | 2025-04-25 |
| 431 | MIRAbot: A Rearview Mirror Driving Assistant for Semi-Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This video introduces MIRAbot, a reimagined rearview mirror designed as a driving assistant for SAE Level 3 semi-autonomous vehicles (see Figure 1). While Level 3 vehicles allow … |
MAX FISCHER et. al. | Proceedings of the Extended Abstracts of the CHI Conference … | 2025-04-25 |
| 432 | Pose Optimization for Autonomous Driving Datasets Using Neural Rendering Models Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, potential inaccuracies in sensor calibration and vehicle poses within these datasets can lead to erroneous evaluations of downstream tasks, adversely impacting the reliability and performance of the autonomous systems. To address this challenge, we propose a robust optimization method based on Neural Radiance Fields (NeRF) to refine sensor poses and calibration parameters, enhancing the integrity of dataset benchmarks. |
QUENTIN HERAU et. al. | arxiv-cs.CV | 2025-04-22 |
| 433 | A Survey of Autonomous Driving from A Deep Learning Perspective IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving represents a significant advancement in the transportation industry, enhancing vehicle intelligence, optimizing traffic management, and improving user … |
JINGYUAN ZHAO et. al. | ACM Computing Surveys | 2025-04-18 |
| 434 | Testing The Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To address this gap, we conduct the first exploration of the fault tolerance of MSF perception-based ADS for sensor faults. In this paper, we systematically and comprehensively build fault models for cameras and LiDAR in AVs and inject them into the MSF perception-based ADS to test its behaviors in test scenarios. |
HAOXIANG TIAN et. al. | arxiv-cs.RO | 2025-04-17 |
| 435 | Fully Unified Motion Planning for End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: (1)Different scene observation perspectives across vehicles hinder inter-vehiclealignment of scene feature representations; (2) The absence of partial modalityin other vehicles’ data (e.g., vehicle states) compared to ego-vehicle dataintroduces learning bias. To address these challenges, we propose FUMP (FullyUnified Motion Planning), a novel two-stage trajectory generation framework.Building upon probabilistic decomposition, we model the planning task as aspecialized subtask of motion prediction. |
LIN LIU et. al. | arxiv-cs.CV | 2025-04-17 |
| 436 | Approaching Current Challenges in Developing A Software Stack for Fully Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: As a result, this paper’s contributions will simplify future full-stack autonomous driving projects, which are essential for a thorough evaluation of the individual algorithms. |
SIMON SAGMEISTER et. al. | arxiv-cs.RO | 2025-04-17 |
| 437 | Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, this task faces several challenges, including the scarcity of large-scale datasets tailored for off-road scenarios, the high cost and potential errors of manual annotation, the stringent real-time requirements of motion planning, and the limited computational power of onboard units. To address these challenges, this paper proposes a novel traversability learning method that leverages self-supervised learning, eliminating the need for manual annotation. |
YAFENG BU et. al. | arxiv-cs.RO | 2025-04-16 |
| 438 | GDRIVE: Adaptive Object Detection in Autonomous Vehicles Via Graph-Based Feature Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Existing Cross-Domain Object Detection methods often struggle due to their reliance on broad semantic models, which can introduce biases and reduce detection accuracy in novel environments. To overcome these limitations, we propose GDRIVE, a novel framework tailored for robust object detection in autonomous driving contexts. |
S. Xi; Y. Liu; H. Lu; Y. Ding; H. Ding; | icassp | 2025-04-15 |
| 439 | Enhancing Autonomous Vehicle Planning With A Robust Fault-Tolerant Mechanism for Action-Induced Agent Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In autonomous driving, accurately identifying traffic participants that may influence vehicle behavior is crucial for effective system planning. To address this challenge, we propose a fault-tolerant mechanism for detecting action-induced objects, which significantly improves decision-making performance and system explainability. |
Z. Fu; | icassp | 2025-04-15 |
| 440 | A Simulator Dataset to Support The Study of Impaired Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Despite recent advances in automated driving technology, impaired driving continues to incur a high cost to society. In this paper, we present a driving dataset designed to … |
JOHN GIDEON et. al. | ArXiv | 2025-04-15 |
| 441 | U2AD: A UAV-Assisted Autonomous Driving Framework for Enhancing Vehicle Risk Perception and Decision-Making Capabilities Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The advantages of UAV bring hope for solving the drawbacks of traditional frames. In this context, this paper introduces UAV into the AD environment and proposes an innovative unmanned aerial vehicle assisted autonomous driving (U2AD) framework to address these limitations and enhance vehicles’ risk perception and decision-making capabilities. |
C. Li; Y. Gao; R. Fu; J. Chen; | icassp | 2025-04-15 |
| 442 | Vision Based Driving Agent for Race Car Simulation Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: As control at tire grip limit is essential during emergency situations, algorithms developed for racecars are useful for road cars too. |
Gergely Bári; László Palkovics; | arxiv-cs.RO | 2025-04-14 |
| 443 | Evaluating Pedestrian Risks in Shared Spaces Through Autonomous Vehicle Experiments on A Fixed Track Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, there is a scarcity of research on safety in unregulated pedestrian areas, especially when interacting with public transport vehicles like trams. This study investigates pedestrian responses to an alert system in this context by replicating this real-world scenario in an environment using an autonomous vehicle. |
Enrico Del Re; Novel Certad; Joshua Varughese; Cristina Olaverri-Monreal; | arxiv-cs.RO | 2025-04-11 |
| 444 | Offline Reinforcement Learning Using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a novel pipeline for generating human-aligned reward labels. |
Vinal Asodia; Zhenhua Feng; Saber Fallah; | arxiv-cs.RO | 2025-04-11 |
| 445 | Autonomous Driving System Testing Via Diversity-Oriented Driving Scenario Exploration Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Testing Autonomous Driving Systems (ADS) is critical for validating their safety in operational environments. High-fidelity simulators enable the testing of ADS through virtual … |
Xinyu Ji; Lei Xue; Zhijian He; Xiapu Luo; | ACM Transactions on Software Engineering and Methodology | 2025-04-09 |
| 446 | A Dependable Trajectory Prediction Pipeline for Autonomous Driving: Integrating Computer Vision and Bayesian Networks for Highway Safety Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Safe autonomous driving requires an accurate and robust perception system capable of detecting, localizing, and tracking surrounding vehicles and road features. The trajectory … |
Sanjana Range Gowda; Patrick Wolf; | 2025 20th European Dependable Computing Conference … | 2025-04-08 |
| 447 | Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce the Driving-RAG framework to address the challenges of efficient scenario data embedding, search, and applications for RAG systems. |
CHENG CHANG et. al. | arxiv-cs.RO | 2025-04-06 |
| 448 | An Optimized Density-Based Lane Keeping System for A Cost-Efficient Autonomous Vehicle Platform: AurigaBot V1 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a four-wheeled autonomous vehicle platform designed to facilitate research and prototyping in autonomous driving. |
FARBOD YOUNESI et. al. | arxiv-cs.RO | 2025-04-05 |
| 449 | CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: To address the challenge of insufficient interactivity and behavioral diversity in autonomous driving decision-making, this paper proposes a Cognitive Hierarchical Agent for Reasoning and Motion Stylization (CHARMS). |
JINGYI WANG et. al. | arxiv-cs.RO | 2025-04-03 |
| 450 | On Learning Racing Policies with Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We address thisrequirement by considering the task of autonomous racing and propose solving itby learning a racing policy using Reinforcement Learning (RL). |
Grzegorz Czechmanowski; Jan Węgrzynowski; Piotr Kicki; Krzysztof Walas; | arxiv-cs.RO | 2025-04-03 |
| 451 | Enhancing Traffic Sign Recognition On The Performance Based On Yolov8 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This thesis presents an enhanced YOLOv8-based detection system that integrates advanced data augmentation techniques, novel architectural enhancements including Coordinate Attention (CA), Bidirectional Feature Pyramid Network (BiFPN), and dynamic modules such as ODConv and LSKA, along with refined loss functions (EIoU and WIoU combined with Focal Loss). |
Baba Ibrahim; Zhou Kui; | arxiv-cs.CV | 2025-04-02 |
| 452 | Deep Reinforcement Learning-Based Resource Allocation with Enhanced Perception and Low-Latency for Autonomous Driving in ISAC-aided VEC Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As autonomous driving technology advances, the intelligence levels of vehicles continue to increase. However, meeting the demands of autonomous driving in various scenarios … |
CHUNLIN LI et. al. | ACM Transactions on Design Automation of Electronic Systems | 2025-04-01 |
| 453 | Lane Change Prediction for Autonomous Driving With Transferred Trajectory Interaction IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In mixed-autonomy traffic environments, accurately predicting the lane change behavior of human-driven vehicles is critical for ensuring the safety and reliability of autonomous … |
YUHUAN LU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-04-01 |
| 454 | Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces the Deep Learning-based Nonlinear Model Predictive Controller with Scene Dynamics (DL-NMPC-SD) method for autonomous navigation. |
Sorin Grigorescu; Mihai Zaha; | arxiv-cs.RO | 2025-04-01 |
| 455 | Elevating Traffic Safety: Insights Into Autonomous Emergency Braking Systems in Varied Highway Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study provides a comprehensive analysis of Autonomous Emergency Braking (AEB) systems within autonomous vehicles (AVs) across various highway scenarios. By simulating three … |
Ricardo Ribeiro; Catarina Gonçalves; Nuno Pombo; | 2025 IEEE 22nd International Conference on Software … | 2025-03-31 |
| 456 | A Benchmark for Vision-Centric HD Mapping By V2I Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: As a benchmark, both source codes and the dataset have been released at OneDrive for the purpose of further study. |
MIAO FAN et. al. | arxiv-cs.CV | 2025-03-31 |
| 457 | DRVN at The ICST 2025 Tool Competition – Self-Driving Car Testing Track Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: DRVN is a regression testing tool that aims to diversify the test scenarios (road maps) to execute for testing and validating self-driving cars. DRVN harnesses the power of … |
Antony Bartlett; Cynthia Liem; Annibale Panichella; | 2025 IEEE Conference on Software Testing, Verification and … | 2025-03-31 |
| 458 | ITS4SDC at The ICST 2025 Tool Competition – Self-Driving Car Testing Track Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Testing and verification of self-driving cars are essential for ensuring their safety and reliability. In the context of the ICST 2024 self-driving cars testing tool competition, … |
A. Güllü; Faiz Ali Shah; Dietmar Pfahl; | 2025 IEEE Conference on Software Testing, Verification and … | 2025-03-31 |
| 459 | OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We present OpenDriveVLA, a Vision-Language Action (VLA) model designed for end-to-end autonomous driving. |
Xingcheng Zhou; Xuyuan Han; Feng Yang; Yunpu Ma; Alois C. Knoll; | arxiv-cs.CV | 2025-03-30 |
| 460 | VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization Via Vision-Language Models for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, to the best of our knowledge, no existing continual learning methods have been proposed to ensure consistent and scalable corner case learning in autonomous driving. To address these limitations, we propose VLM-C4L, a continual learning framework that introduces Vision-Language Models (VLMs) to dynamically optimize and enhance corner case datasets, and VLM-C4L combines VLM-guided high-quality data extraction with a core data replay strategy, enabling the model to incrementally learn from diverse corner cases while preserving performance on previously routine scenarios, thus ensuring long-term stability and adaptability in real-world autonomous driving. |
HAIBO HU et. al. | arxiv-cs.RO | 2025-03-29 |
| 461 | TURBO: Utility-Aware Bandwidth Allocation for Cloud-Augmented Autonomous Control Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving system progress has been driven by improvements in machine learning models, whose computational demands now exceed what edge devices alone can provide. The … |
PETER SCHAFHALTER et. al. | NINeS | 2025-03-26 |
| 462 | Representation Improvement in Latent Space for Search-Based Testing of Autonomous Robotic Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We propose RILaST (Representation Improvement in Latent Space for Search-Based Testing) approach, which enhances test representation by mapping it to the latent space of a variational autoencoder. |
Dmytro Humeniuk; Foutse Khomh; | arxiv-cs.NE | 2025-03-26 |
| 463 | Multi-Agent Deep Reinforcement Learning for Safe Autonomous Driving with RICS-Assisted MEC Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To tackle this issue, we leverage reconfigurable intelligent computational surfaces (RICSs) to jointly enable V2I reflective links and mitigate interference appearing at the V2V links. Considering the limitations of traditional algorithms in addressing this problem, such as the assumption for quasi-static channel state information, which restricts their ability to adapt to dynamic environmental changes and leads to poor performance under frequently varying channel conditions, in this paper, we formulate the problem at hand as a Markov game. |
XUEYAO ZHANG et. al. | arxiv-cs.LG | 2025-03-25 |
| 464 | Crying Jaywalker! Notifying Take-Over-Requests and Critical Events in Operational Driving Domain of Autonomous Vehicles Via Multimodal Interfaces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advent of self-driving cars promises to enable occupants to repurpose commuting time. However, although in conditional automation (SAE Level 3) drivers can engage in … |
F. G. Pratticó; Lorenzo Valente; Fabrizio Lamberti; | Proceedings of the 30th International Conference on … | 2025-03-24 |
| 465 | Predicting Multitasking in Manual and Automated Driving with Optimal Supervisory Control Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a computational cognitive model that simulates human multitasking while driving. |
Jussi Jokinen; Patrick Ebel; Tuomo Kujala; | arxiv-cs.HC | 2025-03-23 |
| 466 | Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To accommodate constantly changing road conditions, real-time model training is essential for autonomous driving (AD). Federated learning (FL) serves as a promising paradigm to … |
YANAN MA et. al. | ArXiv | 2025-03-22 |
| 467 | Reinforcement Learning-based Autonomous Driving Control for Efficient Road Utilization in Lane-less Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
MAO TOBISAWA et. al. | Artif. Life Robotics | 2025-03-22 |
| 468 | Multi-modality Anomaly Segmentation on The Road Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Based on our experiments, we find that current uni-modal anomaly segmentation frameworks tend to produce high anomaly scores for non-anomalous regions in images. Motivated by this empirical finding, we develop a multi-modal uncertainty-based anomaly segmentation framework, named MMRAS+, for autonomous driving systems. |
Heng Gao; Zhuolin He; Shoumeng Qiu; Xiangyang Xue; Jian Pu; | arxiv-cs.CV | 2025-03-22 |
| 469 | Autonomous Vehicle Trajectory Following with Flatness-based Model Predictive Control and Real-time Iteration Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Model Predictive Control (MPC) is increasingly gaining popularity in a wide range of autonomous vehicle and driving assistant applications owing to its style of optimality and … |
Wei Wang; Zejiang Wang; Chuan Hu; Xinbo Chen; P. Raksincharoensak; | J. Syst. Control. Eng. | 2025-03-20 |
| 470 | Exploring Ethical Issues and Challenges of Autonomous Vehicles in Different Countries and Cultures Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles (AVs) promise a revolutionary future of transportation, but ethical considerations pose significant challenges to widespread adoption. This paper delves into … |
Kruti Shah; Erhan Guven; | 2025 59th Annual Conference on Information Sciences and … | 2025-03-19 |
| 471 | GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Similarly, autonomous driving generates vast amounts of spatiotemporal data, alluding to the possibility of harnessing scale to learn the underlying geometric and semantic structure of the environment and its evolution over time. In this direction, we propose a geometric and semantic self-supervised pre-training method, GASP, that learns a unified representation by predicting, at any queried future point in spacetime, (1) general occupancy, capturing the evolving structure of the 3D scene; (2) ego occupancy, modeling the ego vehicle path through the environment; and (3) distilled high-level features from a vision foundation model. |
WILLIAM LJUNGBERGH et. al. | arxiv-cs.CV | 2025-03-19 |
| 472 | Design of Reward Function on Reinforcement Learning for Automated Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a design scheme of reward function that constantly evaluates both driving states and actions for applying reinforcement learning to automated driving. |
Takeru Goto; Yuki Kizumi; Shun Iwasaki; | arxiv-cs.RO | 2025-03-19 |
| 473 | A Vehicle-Infrastructure Multi-layer Cooperative Decision-making Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose a multi-level vehicle-infrastructure cooperative decision-making framework for complex conflict scenarios at unsignalized intersections. |
Yiming Cui; Shiyu Fang; Peng Hang; Jian Sun; | arxiv-cs.RO | 2025-03-19 |
| 474 | HAD-Gen: Human-like and Diverse Driving Behavior Modeling for Controllable Scenario Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: However, contemporary methodologies, such as deterministic and imitation learning-based driver models, struggle to capture the variability of human-like driving behavior. Given these challenges, we propose HAD-Gen, a general framework for realistic traffic scenario generation that simulates diverse human-like driving behaviors. |
Cheng Wang; Lingxin Kong; Massimiliano Tamborski; Stefano V. Albrecht; | arxiv-cs.RO | 2025-03-19 |
| 475 | Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We introduce Trajectory-LLM (Traj-LLM), a new approach that takes brief descriptions of vehicular interactions as input and generates corresponding trajectories.We have also created a new dataset, Language-to-Trajectory (L2T), which includes 240K textual descriptions of vehicle interactions and behaviors, each paired with corresponding map topologies and vehicle trajectory segments. |
KAIRUI YANG et. al. | iclr | 2025-03-17 |
| 476 | Diffusion-Based Planning for Autonomous Driving with Flexible Guidance IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We propose a novel transformer-based Diffusion Planner for closed-loop planning, which can effectively model multi-modal driving behavior and ensure trajectory quality without any rule-based refinement. |
YINAN ZHENG et. al. | iclr | 2025-03-17 |
| 477 | Car-1000: A New Large Scale Fine-Grained Visual Categorization Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Consequently, the previous Stanford-Car dataset fails to capture this evolving landscape and cannot satisfy the requirements of automotive industry. To address these challenges, in our paper, we introduce Car-1000, a large-scale dataset designed specifically for fine-grained visual categorization of diverse car models. |
Yutao Hu; Sen Li; Jincheng Yan; Wenqi Shao; Xiaoyan Luo; | arxiv-cs.CV | 2025-03-16 |
| 478 | Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a cognition-decision framework that integrates individual variability and commonalities in driver behavior to quantify risk cognition and model dynamic decision-making. |
HEYE HUANG et. al. | arxiv-cs.AI | 2025-03-16 |
| 479 | Bench2FreeAD: A Benchmark for Vision-based End-to-end Navigation in Unstructured Robotic Environments Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Thus, this paper presents the first dataset targeting E2E robot navigation tasks in unstructured scenarios, and provides a benchmark based on vision-based E2E autonomous driving algorithms to facilitate the development of E2E navigation technology for logistics and service robots. |
YUHANG PENG et. al. | arxiv-cs.RO | 2025-03-15 |
| 480 | A Framework for A Capability-driven Evaluation of Scenario Understanding for Multimodal Large Language Models in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a holistic framework for a capability-driven evaluation of MLLMs in autonomous driving. |
TIN STRIBOR SOHN et. al. | arxiv-cs.CV | 2025-03-14 |
| 481 | Controllable Latent Diffusion for Traffic Simulation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Conventional approaches, such as real-world test drives, are not only expensive but also lack the flexibility to capture targeted edge cases for thorough evaluation. To address these challenges, we propose a controllable latent diffusion that guides the training of diffusion models via reinforcement learning to automatically generate a diverse and controllable set of driving scenarios for virtual testing. |
Yizhuo Xiao; Mustafa Suphi Erden; Cheng Wang; | arxiv-cs.RO | 2025-03-14 |
| 482 | ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This paper presents a novel framework, ManeuverGPT, for generating and executing high-dynamic stunt maneuvers in autonomous vehicles using large language model (LLM)-based agents as controllers. |
Shawn Azdam; Pranav Doma; Aliasghar Moj Arab; | arxiv-cs.RO | 2025-03-11 |
| 483 | Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a novel Edge AI-driven real-time decision-making framework designed to enhance AV responsiveness under adverse weather conditions. |
Milad Rahmati; | arxiv-cs.RO | 2025-03-11 |
| 484 | RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, these approaches predominantly depend on single-vehicle data collection for model training and optimization, resulting in significant challenges such as high data acquisition and annotation costs, the scarcity of critical driving scenarios, and fragmented datasets that impede model generalization. To mitigate these limitations, we introduce RS2AD, a novel framework for reconstructing and synthesizing vehicle-mounted LiDAR data from roadside sensor observations. |
Ruidan Xing; Runyi Huang; Qing Xu; Lei He; | arxiv-cs.RO | 2025-03-10 |
| 485 | Combating Partial Perception Deficit in Autonomous Driving with Multimodal LLM Commonsense Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose LLM-RCO, a framework leveraging large language models to integrate human-like driving commonsense into autonomous systems facing perception deficits. |
YUTING HU et. al. | arxiv-cs.RO | 2025-03-10 |
| 486 | Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Learning to perform accurate and rich simulations of human driving behaviors from data for autonomous vehicle testing remains challenging due to human driving styles’ high diversity and variance. We address this challenge by proposing a novel approach that leverages contrastive learning to extract a dictionary of driving styles from pre-existing human driving data. |
KALLE KUJANPÄÄ et. al. | arxiv-cs.RO | 2025-03-07 |
| 487 | Safety-Critical Traffic Simulation with Adversarial Transfer of Driving Intentions Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To address it, this paper proposes an innovative and efficient strategy, termed IntSim, that explicitly decouples the driving intentions of surrounding actors from their motion planning for realistic and efficient safety-critical simulation. |
ZHERUI HUANG et. al. | arxiv-cs.RO | 2025-03-07 |
| 488 | Research on A Driver’s Perceived Risk Prediction Model Considering Traffic Scene Interaction Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study introduces an innovative perceived risk prediction model for human-machine interaction in intelligent driving systems. |
Chenhao Yang; Siwei Huang; Chuan Hu; | arxiv-cs.HC | 2025-03-06 |
| 489 | Simulation-based Testing of Foreseeable Misuse By The Driver Applicable for Highly Automated Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With Highly Automated Driving (HAD), the driver can engage in non-driving-related tasks. In the event of a system failure, the driver is expected to reasonably regain control of … |
Milin Patel; Rolf Jung; Yasin Cakir; | ArXiv | 2025-03-05 |
| 490 | Enhancing Autonomous Driving Safety with Collision Scenario Integration Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose SafeFusion, a training framework to learn from collision data. |
ZI WANG et. al. | arxiv-cs.RO | 2025-03-05 |
| 491 | Injecting Conflict Situations in Autonomous Driving Simulation Using CARLA Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Simulation of conflict situations for autonomous driving research is crucial for understanding and managing interactions between Automated Vehicles (AVs) and human drivers. This … |
Tsvetomila Mihaylova; Stefan Reitmann; E. A. Topp; Ville Kyrki; | 2025 20th ACM/IEEE International Conference on Human-Robot … | 2025-03-04 |
| 492 | Impact of Level 2/3 Automated Driving Technology on Road Work Zone Safety Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper explores the impact of Level 2/3 automated driving technology on road safety in high-speed highway work zone environments. |
Zhepu Xu; Ziyi Song; Yupu Dong; Peiyan Chen; | arxiv-cs.AI | 2025-03-04 |
| 493 | Road Boundary Detection Using 4D MmWave Radar for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To this end, this paper introduces 4DRadarRBD, the first road boundary detection method based on 4D mmWave radar which is cost-effective and robust in complex driving scenarios. |
Yuyan Wu; Hae Young Noh; | arxiv-cs.CV | 2025-03-02 |
| 494 | An Explainable Q-Learning Method for Longitudinal Control of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Various artificial intelligence (AI) algorithms have been developed for autonomous vehicles (AVs) to support environmental perception, decision making and automated driving in … |
Meng Li; Zhihao Cui; Yulei Wang; Yanjun Huang; Hong Chen; | IEEE Transactions on Intelligent Transportation Systems | 2025-03-01 |
| 495 | Differentially Private Federated Clustering Framework in Intelligent Connected Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In Internet of Vehicles Networks, federated learning balances the privacy of driving data with autonomous driving. However, poisoning attacks seriously compromise the security of … |
Chong Chen; Siquan Huang; Leyu Shi; Ying Gao; Yiqin Lu; | IEEE Network | 2025-03-01 |
| 496 | Effective Learning Mechanism Based on Reward-Oriented Hierarchies for Sim-to-Real Adaption in Autonomous Driving Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles in Intelligent Transportation Systems aim to boost the adaptability performances of complex problem-solving behaviour in the Sim-to-Real self-driving mission. … |
Zhiming Hong; | IEEE Transactions on Intelligent Transportation Systems | 2025-03-01 |
| 497 | HS-GIoV: High-speed Green Internet of Vehicles (IoV) Edge-assisted Model for Low-latency Inference in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Oshin Rawlley; Shashank Gupta; Kashish Mahajan; Aishna Shrivastava; Esha Jain; | Future Gener. Comput. Syst. | 2025-03-01 |
| 498 | A Vision of 3GPP Wireless Sensing for Intelligent Vehicles: Scenarios, Architectures, Security Challenges, Solutions, and Future Trends Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Sensing technologies tailored for intelligent vehicles have significantly improved user experience and facilitated the progression toward autonomous driving. However, traditional … |
CHAO SHANG et. al. | IEEE Network | 2025-03-01 |
| 499 | Joint Deep Reinforcement Learning and Unfolding for Sensing and Communication Function Selection in Vehicular Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the exponential advancement of vehicle networking applications and autonomous driving technology, the demand for efficient and secure autonomous vehicles (AVs) is increasing. … |
Xiangyu Shen; Haifeng Zheng; Jiayuan Lin; Xinxin Feng; | IEEE Transactions on Vehicular Technology | 2025-03-01 |
| 500 | IntNet: A Communication-Driven Multi-Agent Reinforcement Learning Framework for Cooperative Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Achieving safety in autonomous driving through Multi-Agent Reinforcement Learning (MARL) is a critical yet challenging task due to non-stationarity, partial observability, and the … |
L. Parada; Kevin Yu; P. Angeloudis; | IEEE Robotics and Automation Letters | 2025-03-01 |
| 501 | Dynamic Cumulative Human-Like Brake Control Modeling for Autonomous Vehicle Collision Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Rear-end collision where a human-driven vehicle (HV) hits an autonomous vehicle (AV) from behind (called HV-AV collision) represents a critical scenario in the context of mixed … |
Ci Liang; Mohamed Ghazel; Wei Zheng; Wei Chen; | IEEE Transactions on Vehicular Technology | 2025-03-01 |
| 502 | A Novel Spatio-temporal Attention Mechanism Model for Car-following in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
QIRAN LI et. al. | Comput. Electr. Eng. | 2025-03-01 |
| 503 | Federated Training Generative Adversarial Networks for Heterogeneous Vehicle Scheduling in IoV Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In autonomous driving environments, generative adversarial networks (GANs) are often used to predict the future trajectories of objects in the scene, providing decision support … |
Lizhao Wu; Hui Lin; Xiaoding Wang; | IEEE Internet of Things Journal | 2025-03-01 |
| 504 | Enabling Safe Co‐Existence of Connected/Autonomous Cars and Road Users Using Machine Learning and Deep Learning Algorithms IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As the number of vehicles increases in cities, traffic accidents continue to rise. Connected and Autonomous Cars have become important because they aim to be safer than … |
J. Contreras-Castillo; S. Zeadally; J. Ibáñez; P. C. Santana-Mancilla; Iyad A. Katib; | Transactions on Emerging Telecommunications Technologies | 2025-03-01 |
| 505 | On The Road to AIoT: A Framework for Vehicle Road Cooperation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The paradigm of Augmented Intelligence of Things (AIoT) aims to empower Internet of Things (IoT) devices with intelligent capabilities to analyze data, make informed decisions, … |
Daniela Annunziata; Diletta Chiaro; Pian Qi; Francesco Piccialli; | IEEE Internet of Things Journal | 2025-03-01 |
| 506 | Interpreting The Unexpected: A Multimodal Framework for Out-of-Label Hazard Detection and Explanation in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Effective hazard detection and interpretation in autonomous driving extend well beyond standard, pre-labeled categories of obstacles and events. While traditional systems excel at … |
Mahdi Abbariki; Maged Shoman; | 2025 IEEE/CVF Winter Conference on Applications of Computer … | 2025-02-28 |
| 507 | Dynamically Local-Enhancement Planner for Large-Scale Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: It is increasingly difficult to improve models for new situations using a single monolithic model. To address this issue, we introduce the concept of dynamically enhancing a basic driving planner with local driving data, without permanently modifying the planner itself. |
NANSHAN DENG et. al. | arxiv-cs.RO | 2025-02-28 |
| 508 | AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: These works overlook these scenarios’ authenticity, rationality, and relevance, resulting in numerous extreme, contrived, and largely unrealistic collision events involving aggressive NPC vehicles. To rectify this issue, we propose a three-layer relative safety region model, which partitions the area based on danger levels and increases the likelihood of NPC vehicles entering relative boundary regions. |
YUKUAN YANG et. al. | arxiv-cs.RO | 2025-02-28 |
| 509 | Trajectory-to-Action Pipeline (TAP): Automated Scenario Description Extraction for Autonomous Vehicle Behavior Comparison Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces the Trajectory-to-ActionPipeline (TAP), a scalable and automated method for extracting SDL labels fromlarge trajectory datasets. |
Aron Harder; Madhur Behl; | arxiv-cs.RO | 2025-02-27 |
| 510 | Minds on The Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This oversight results in models that fail to capture the true intentions of human drivers, leading to suboptimal performance in long-term trajectory prediction. To address this limitation, we introduce a Cognitive-Informed Transformer (CITF) that incorporates a cognitive concept, Perceived Safety, to interpret drivers’ decision-making mechanisms. |
HAICHENG LIAO et. al. | arxiv-cs.RO | 2025-02-27 |
| 511 | APIKS: A Modular ROS2 Framework for Rapid Prototyping and Validation of Automated Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Existing software development environments and simulation platforms often either focus narrowly on specific functions or are too complex, hindering the rapid prototyping of small proofs of concept. To address this challenge, we have developed the APIKS automotive platform, a modular framework based on ROS2. |
João-Vitor Zacchi; Edoardo Clementi; Núria Mata; | arxiv-cs.SE | 2025-02-27 |
| 512 | Cutting‐Edge Deep Learning Methods for Image‐Based Object Detection in Autonomous Driving: In‐Depth Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Object detection is a critical aspect of computer vision (CV) applications, especially within autonomous driving systems (AVs), where it is fundamental to ensuring safety and … |
Narges Saeedizadeh; Seyed Mohammad Jafar Jalali; Burhan Khan; Shady Mohamed; | Expert Systems | 2025-02-27 |
| 513 | Exploring The Effects of Traditional Chinese Medicine Scents on Mitigating Driving Fatigue Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Study 1 maps six prevalent TCM scents onto the arousal/valence circumplex to select proper candidates, i.e., argy wormwood (with the highest arousal) and tangerine peel (with the highest valence). |
Nengyue Su; Liang Luo; Yu Gu; Fuji Ren; | arxiv-cs.HC | 2025-02-25 |
| 514 | Dual-View Interaction-Aware Lane Change Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Moreover, current interaction-aware approaches for autonomous driving fail to explicitly model future interactions between vehicles, leading to unreasonable prediction results that can cause collisions between vehicles. To address the above issues, we propose to incorporate the concept of perceived safety into future interaction modeling and design a dual-view interaction-aware lane change prediction model. |
Yuhuan Lu; Zhen Zhang; Rufan Bai; Han Liu; Wei Wang; | aaai | 2025-02-25 |
| 515 | Smart Traffic Intersections: Leveraging ISAC and Millimeter-Wave for Advanced Vehicle Platooning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Self-driving cars are transforming the transportation industry and driving the development of smart cities. Vehicle platooning, a critical capability of autonomous vehicles, has … |
Mohammed Risal Thadathil; Nasir Saeed; | 2025 Global Information Infrastructure and Networking … | 2025-02-25 |
| 516 | DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces DME-Driver, a new autonomous driving system that enhances performance and robustness by fully leveraging the two crucial aspects. |
Wencheng Han; Dongqian Guo; Cheng-Zhong Xu; Jianbing Shen; | aaai | 2025-02-25 |
| 517 | Is Your Autonomous Vehicle Safe? Understanding The Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Our research provides a comprehensive simulation and evaluation framework, aiming to enhance the development of more robust AI models and secure intelligent systems, ultimately contributing to the advancement of safer and more reliable technology across various fields. |
WENHAO LIAO et. al. | aaai | 2025-02-25 |
| 518 | How Lightweight Deep Learning Enhances Performance in DPU-Accelerated Autonomous Driving on Zynq SoC Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study presents a lightweight deep learning model developed for DPU-accelerated systems. It aims to provide real-time autonomous driving on resource-constrained systems such … |
Gyu Hyeon Hwang; HoBin Oh; J. Jeon; | 2025 11th International Conference on Mechatronics and … | 2025-02-24 |
| 519 | Automatic Vehicle Detection Using DETR: A Transformer-Based Approach for Navigating Treacherous Roads Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We employ a Collaborative Hybrid Assignments Training scheme, Co-DETR, to enhance feature learning and attention mechanisms in DETR. |
Istiaq Ahmed Fahad; Abdullah Ibne Hanif Arean; Nazmus Sakib Ahmed; Mahmudul Hasan; | arxiv-cs.CV | 2025-02-24 |
| 520 | Autonomous Driving Vehicle Control Using YOLO11-Based Pose Estimation with Infrastructure Sensors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This work proposes a system that utilizes infrastructure-mounted cameras to estimate the position and orientation of vehicles, generating and controlling paths based on this data. … |
Y. Choi; Eun Ho Kim; Young Hoon Suh; J. Jeon; | 2025 11th International Conference on Mechatronics and … | 2025-02-24 |
| 521 | A Spline-Based Path Planning for Lane Keeping in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a spline-based path planning approach for lane keeping in autonomous vehicles. The method utilizes cubic spline interpolation to generate smooth and continuous … |
HYEONG-KEUN HONG et. al. | 2025 11th International Conference on Mechatronics and … | 2025-02-24 |
| 522 | An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We conduct a holistic analysis of common on-road anomaly patterns, from which we propose three unsupervised anomaly detection experts: a scene expert that focuses on frame-level appearances to detect abnormal scenes and unexpected scene motions; an interaction expert that models normal relative motions between two road participants and raises alarms whenever anomalous interactions emerge; and a behavior expert which monitors abnormal behaviors of individual objects by future trajectory prediction. |
Tianchen Ji; Neeloy Chakraborty; Andre Schreiber; Katherine Driggs-Campbell; | arxiv-cs.CV | 2025-02-22 |
| 523 | A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical Alignment Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, these methodologies often suffer from lack of interpretability and robustness, particularly in intricate traffic scenarios. To tackle this challenge, we propose a novel brain-inspired driving (BID) framework. |
Haidong Wang; Pengfei Xiao; Ao Liu; Qia Shan; Jianhua Zhang; | arxiv-cs.RO | 2025-02-21 |
| 524 | CurricuVLM: Towards Safe Autonomous Driving Via Personalized Safety-Critical Curriculum Learning with Vision-Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Furthermore, developing training curricula that adapt to an AV’s evolving behavioral patterns and performance bottlenecks remains largely unexplored. To address these challenges, we propose CurricuVLM, a novel framework that leverages Vision-Language Models (VLMs) to enable personalized curriculum learning for autonomous driving agents. |
ZIHAO SHENG et. al. | arxiv-cs.RO | 2025-02-20 |
| 525 | Pedestrian Avoidance Simulation By Deep Reinforcement Learning Using Webots Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Road accidents involving pedestrians remain a leading cause of mortality worldwide. As autonomous driving technology advances to address this issue, Deep Reinforcement Learning … |
Chalumpol Trararak; Trong-Thuc Hoang; Cong-Kha Pham; | 2025 International Conference on Artificial Intelligence in … | 2025-02-18 |
| 526 | Towards Hybrid Traffic Laws for Mixed Flow of Human-Driven Vehicles and Connected Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Hybrid traffic laws represent an innovative approach to managing mixed environments of connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs) by introducing separate sets of regulations for each vehicle type. |
Tal Kraicer; Jack Haddad; Erez Karaps; Moshe Tennenholtz; | arxiv-cs.MA | 2025-02-18 |
| 527 | Goal-Conditioned Reinforcement Learning Approach for Autonomous Parking in Complex Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In complex urban environments, autonomous vehicle parking is challenged by irregularly parked cars, static obstacles, and narrow spaces. Traditional parking methods are often … |
Taeyoung Kim; Taemin Kang; Seungah Son; Kuk Won Ko; Dongsoo Har; | 2025 International Conference on Artificial Intelligence in … | 2025-02-18 |
| 528 | Fine-Tuned Yolo V-10X: Real-Time Object Detection for Autonomous Vehicles Under Multiple Weather Conditions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Detecting objects such as vehicles, buildings, pedestrians, and road signs is indispensable to advancing the concept of autonomous and self-driving cars. Furthermore, an … |
Safa Teboulbi; Seifeddine Messaoud; Mohamed Ali Hajjaji; Mohamed Atri; A. Mtibaa; | 2025 IEEE 22nd International Multi-Conference on Systems, … | 2025-02-17 |
| 529 | From Perception to Computation: Revisiting Delay Optimization for Connected Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the development of sensing, wireless communication, and real-time computing technologies, vehicles are gradually becoming more and more intelligent. To provide safe … |
Tianen Liu; Shuai Wang; Zheng Dong; Borui Li; Tian He; | ACM Computing Surveys | 2025-02-17 |
| 530 | AI-Augmented Metamorphic Testing for Comprehensive Validation of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While Metamorphic Testing (MT) offers a partial solution to these challenges, its application is often limited by simplistic modifications to test scenarios. In this position paper, we propose enhancing MT by integrating AI-driven image generation tools, such as Stable Diffusion, to improve testing methodologies. |
Tony Zhang; Burak Kantarci; Umair Siddique; | arxiv-cs.SE | 2025-02-16 |
| 531 | V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Current autonomous driving vehicles rely mainly on their individual sensors to understand surrounding scenes and plan for future trajectories, which can be unreliable when the sensors are malfunctioning or occluded. To address this problem, cooperative perception methods via vehicle-to-vehicle (V2V) communication have been proposed, but they have tended to focus on perception tasks like detection or tracking. |
HSU-KUANG CHIU et. al. | arxiv-cs.CV | 2025-02-14 |
| 532 | Knowledge Integration Strategies in Autonomous Vehicle Prediction and Planning: A Comprehensive Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This comprehensive survey examines the integration of knowledge-based approaches in autonomous driving systems, specifically focusing on trajectory prediction and planning. |
Kumar Manas; Adrian Paschke; | arxiv-cs.AI | 2025-02-13 |
| 533 | Real Time Implementation of Inter-Car Distance Based on An Intelligent Stereovision System for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Mohamed Sejai; Anas Mansouri; Saad Dosse Bennani; Yassine Ruichek; | International Journal of Intelligent Transportation Systems … | 2025-02-12 |
| 534 | Autonomous Navigation Systems in GPS-Denied Environments: A Review of Techniques and Applications IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous navigation entails using systems programmed to navigate predefined channels without human intervention. From driverless vehicles to RPAS (remotely piloted aircraft … |
SALEH ALGHAMDI et. al. | 2025 11th International Conference on Automation, Robotics, … | 2025-02-12 |
| 535 | FixDrive: Automatically Repairing Autonomous Vehicle Driving Behaviour for $0.08 Per Violation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: It would be preferable for AV repairs to generalise beyond specific incidents and to be interpretable for users. In this work, we propose FixDrive, a framework that analyses driving records from near-misses or law violations to generate AV driving strategy repairs that reduce the chance of such incidents occurring again. |
Yang Sun; Christopher M. Poskitt; Kun Wang; Jun Sun; | arxiv-cs.SE | 2025-02-12 |
| 536 | Motion Forecasting for Autonomous Vehicles: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we focus on both scenario-based and perception-based motion forecasting for AVs. |
JIANXIN SHI et. al. | arxiv-cs.RO | 2025-02-10 |
| 537 | Safeguarding Connected Autonomous Vehicle Communication: Protocols, Intra- and Inter-vehicular Attacks and Defenses IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The paper also provides a comprehensive taxonomy of attack vectors in CAV ecosystems and suggests future research directions for designing more robust security mechanisms. Our key contributions include the development of a new classification system for CAV security threats, the proposal of practical security protocols, and the introduction of use cases that demonstrate how these protocols can be integrated into real-world CAV applications. |
MOHAMMED ALEDHARI et. al. | arxiv-cs.CR | 2025-02-06 |
| 538 | In-vehicle Full-window Augmented Reality System (FARS) for Passengers: Effects on Spatial Knowledge and User Experience Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent years, automobiles have introduced various infotainment systems for drivers and passengers, providing a high-tech interactive space. While the focus has been on head-up … |
Hyunjeong Kim; In-Kwon Lee; | Virtual Reality | 2025-02-05 |
| 539 | Driver Assistance System Based on Multimodal Data Hazard Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a multimodal driver assistance detection system that integrates road condition video, driver facial video, and audio data to enhance incident recognition accuracy. |
Long Zhouxiang; Ovanes Petrosian; | arxiv-cs.CV | 2025-02-05 |
| 540 | TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Although Deep Reinforcement Learning (DRL) and Large Language Models (LLMs) each show promise in addressing decision-making challenges in autonomous driving, DRL often suffers from high sample complexity, while LLMs have difficulty ensuring real-time decision making. To address these limitations, we propose TeLL-Drive, a hybrid framework that integrates a Teacher LLM to guide an attention-based Student DRL policy. |
CHENGKAI XU et. al. | arxiv-cs.AI | 2025-02-03 |
| 541 | SOTIF-Oriented Risk Assessment: A Multi-Dimensional Model for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Risk assessment is crucial for quantifying driving environment risks and reducing the Safety of the Intended Functionality (SOTIF) uncertainty in Autonomous Vehicles (AVs). … |
BOTAO YAO et. al. | IEEE Robotics and Automation Letters | 2025-02-01 |
| 542 | Dynamic AI-Driven Network Slicing With O-RAN for Continuous Connectivity in Connected Vehicles and Onboard Consumer Electronics IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The rise of connected and autonomous vehicles signifies an era of intelligent transportation systems, where robust and continued network connectivity is essential for critical … |
Syed Danial Ali Shah; Ali Kashif Bashir; Yasser D. Al-Otaibi; M. M. A. Dabel; Farman Ali; | IEEE Transactions on Consumer Electronics | 2025-02-01 |
| 543 | Lightweight and Adaptive Data-Driven Intrusion Detection System for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles are equipped with numerous electronic control units (ECUs). These ECUs are interconnected via in-vehicle networks to ensure safety, assist drivers, and perform … |
Wael Aljabri; Md. Abdul Hamid; Rayan Mosli; | IEEE Transactions on Intelligent Transportation Systems | 2025-02-01 |
| 544 | Toward Safe Motion Planning for Autonomous Driving in Highway IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Ensuring safety in autonomous driving remains a significant challenge. The safety of autonomous vehicles (AVs) is profoundly influenced by the driving behavior of different … |
Liang Cheng; Yechen Qin; Kai Yang; Zhige Chen; Xiaolin Tang; | IEEE Transactions on Vehicular Technology | 2025-02-01 |
| 545 | Eliminating Uncertainty of Driver’s Social Preferences for Lane Change Decision-Making in Realistic Simulation Environment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The task of making lane change decisions for autonomous vehicles in mixed traffic is intricate and challenging due to the uncertainty of surrounding vehicles. The uncertainty … |
ZEJIAN DENG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-02-01 |
| 546 | Analysis of The Motion Sickness and The Lack of Comfort in Car Passengers Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The aim of this work is to study in detail how passenger’s comfort evaluation parameters vary depending on the driving style, car or road. |
Estibaliz Asua; Jon Gutiérrez-Zaballa; Óscar Mata-Carballeira; Jon Ander Ruiz; Inés del Campo; | arxiv-cs.RO | 2025-01-29 |
| 547 | DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We introduce DISC (Driving Styles In Simulated Crashes), one of the first datasets designed to capture various driving styles and behaviors in pre-crash scenarios for mixed autonomy analysis. |
SANDIP SHARAN SENTHIL KUMAR et. al. | arxiv-cs.RO | 2025-01-28 |
| 548 | LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the LiDAR-based perception algorithms deployed on Team PoliMOVE’s autonomous racecar, which won multiple competitions in the Indy Autonomous Challenge series. |
Marcello Cellina; Matteo Corno; Sergio Matteo Savaresi; | arxiv-cs.RO | 2025-01-24 |
| 549 | A Multi-stage Optimisation Approach to Design Relocation Strategies in One-way Car-sharing Systems with Stackable Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we propose a multi-stage decision support system for vehicle relocation that decomposes the general relocation problem into three independent decision stages to allow scalable solutions. |
Riccardo Iacobucci; Raffaele Bruno; Chiara Boldrini; | arxiv-cs.NI | 2025-01-23 |
| 550 | PPO-Based Vehicle Control for Ramp Merging Scheme Assisted By Enhanced C-V2X Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: On-ramp merging presents a critical challenge in autonomous driving, as vehicles from merging lanes need to dynamically adjust their positions and speeds while monitoring traffic on the main road to prevent collisions. To address this challenge, we propose a novel merging control scheme based on reinforcement learning, which integrates lateral control mechanisms. |
QIONG WU et. al. | arxiv-cs.NI | 2025-01-22 |
| 551 | Real-time Adversarial Image Perturbations for Autonomous Vehicles Using Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The deep neural network (DNN) model for computer vision tasks (object detection and classification) is widely used in autonomous vehicles, such as driverless cars and unmanned … |
Hyung-Jin Yoon; Ryan Holmes; H. Jafarnejadsani; Petros Voulgaris; | ACM Transactions on Cyber-Physical Systems | 2025-01-22 |
| 552 | Select2Drive: Pragmatic Communications for Real-Time Collaborative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we revisit thecollaborative driving problem and propose the Select2Drive framework tooptimize the utilization of limited computational and communication resources.Particularly, to mitigate cumulative latency in perception and decision-making,Select2Drive introduces distributed predictive perception by formulating anactive prediction paradigm and simplifying high-dimensional semantic featureprediction into a computation cost-efficient, motion-aware reconstruction.Given the “less is more principle that an over-broadened perceptual horizonpossibly confuses the decision module rather than contributing to it,Select2Drive utilizes area-of-importance-based PragComm to prioritize thecommunications of critical regions, thus boosting both communication efficiencyand decision-making efficacy. |
Jiahao Huang; Jianhang Zhu; Rongpeng Li; Zhifeng Zhao; Honggang Zhang; | arxiv-cs.CE | 2025-01-21 |
| 553 | Enhancing Autonomous Driving with Pre-trained Imitation and Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes a method that combines imitation learning and reinforcement learning to improve the learning performance of autonomous vehicles. The actor model was … |
Jeong-Hwan Choi; Dong Han Kim; Ji-Sang Yoo; Beom-Joon Kim; Jun-Tae Hwang; | 2025 International Conference on Electronics, Information, … | 2025-01-19 |
| 554 | Autonomous Vehicle Control Using CARLA Simulator, ROS, and EPS HILS Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes a method for integrating the electronic power steering (EPS) system into autonomous driving control by interfacing the CARLA simulator with the Robot Operating … |
Sangmin Kim; Guntae Kim; Taehun Kim; Cheol-Hun Jeong; Changmook Kang; | 2025 International Conference on Electronics, Information, … | 2025-01-19 |
| 555 | Enhancing Inference Performance of A Personalized Driver Assistance System Through LLM Fine-Tuning and Quantization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a personalized driver assistance system based on fine-tuning a large language model (LLM) using the Quantized Low-Rank Adaptation (QLoRA) method. The system … |
Gihoon Song; Jihun Lim; Cheol-Hun Jeong; Changmook Kang; | 2025 International Conference on Electronics, Information, … | 2025-01-19 |
| 556 | Behavior Safety Decision-Making Based on Deep Deterministic Policy Gradient and Its Verification Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As an emerging mode of transportation, autonomous vehicles are increasingly attracting widespread attention. To address the issues of the traditional reinforcement learning … |
Yi Zhu; Zexin Li; Jinyong Wang; Ying Zhao; Miaoer Li; | Symmetry | 2025-01-17 |
| 557 | Efficient and Safe Trajectory Planning for Autonomous Agricultural Vehicle Headland Turning in Cluttered Orchard Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This letter presents a novel trajectory planner that enhances the safety and efficiency of AAV headland maneuvers, leveraging advancements in autonomous driving. |
PENG WEI et. al. | arxiv-cs.RO | 2025-01-17 |
| 558 | Assessing Markov Property in Driving Behaviors: Insights from Statistical Tests Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: A statistical method used to test whether time series data exhibits Markov properties is applied to examine whether the trajectory data possesses Markov characteristics. |
Zheng Li; Haoming Meng; Chengyuan Ma; Ke Ma; Xiaopeng Li; | arxiv-cs.LG | 2025-01-17 |
| 559 | Modeling Language for Scenario Development of Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, the interpretation of such diagrams is typically ambiguous, which can lead to misunderstandings among users, making them unsuitable for the development of high-reliability systems. To address this issue, this study introduces a notation called the car position diagram (CPD). |
Toshiaki Aoki; Takashi Tomita; Tatsuji Kawai; Daisuke Kawakami; Nobuo Chida; | arxiv-cs.SE | 2025-01-16 |
| 560 | Scenario-Based Accelerated Testing for SOTIF in Autonomous Driving: A Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The development of intelligent driving systems has drawn significant attention to enhancing the safety of autonomous vehicles and their intended functionality. Despite this, … |
LEI TANG et. al. | IEEE Internet of Things Journal | 2025-01-15 |
| 561 | Investigating The Impacts of Auditory and Visual Feedback in Advanced Driver Assistance Systems: A Pilot Study on Driver Behavior and Emotional Response IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the autonomous vehicle industry, Advanced Driver Assistance Systems (ADAS) are recognized for their capacity to enhance service quality, improve on-road safety, and increase … |
Zhao Zou; Aila Khan; Michael Lwin; Fady Alnajjar; Omar Mubin; | Frontiers Comput. Sci. | 2025-01-14 |
| 562 | Explore The Use of Time Series Foundation Model for Car-Following Behavior Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we apply Chronos, a state-of-the-art public time series foundation model, to analyze car-following behavior using the Open ACC dataset. |
Luwei Zeng; Runze Yan; | arxiv-cs.LG | 2025-01-12 |
| 563 | A Concept of Lighting Bars for Improving Passengers’ Safety of Driverless Buses Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To address traffic issues, the integration of autonomous vehicles, which operate without an onboard driver, is highly anticipated. However, their widespread use is hindered by the … |
SATORU OGINO et. al. | 2025 IEEE International Conference on Consumer Electronics … | 2025-01-11 |
| 564 | How Can China’s Autonomous Vehicle Companies Use Digital Empowerment to Improve Innovation Quality? – The Role of Digital Platform Capabilities and Boundary-Spanning Search Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The acquisition, integration, and exchange of digital technologies considerably contribute to the improvement of corporate innovation quality, as autonomous vehicles are a complex … |
Mu Li; Yingqi Liu; Ruiyu Feng; | Syst. | 2025-01-10 |
| 565 | Vehicle-in-Virtual-Environment (VVE) Based Autonomous Driving Function Development and Evaluation Methodology for Vulnerable Road User Safety Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a new testing pipeline that sequentially integrates MIL, HIL, and VVE methods to comprehensively develop and evaluate autonomous driving functions. |
Haochong Chen; Xincheng Cao; Levent Guvenc; Bilin Aksun Guvenc; | arxiv-cs.RO | 2025-01-10 |
| 566 | “What’s Happening”- A Human-centered Multimodal Interpreter Explaining The Actions of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Public distrust of self-driving cars is growing. Studies emphasize the need for interpreting the behavior of these vehicles to passengers to promote trust in autonomous systems. … |
XUEWEN LUO et. al. | 2025 IEEE/CVF Winter Conference on Applications of Computer … | 2025-01-09 |
| 567 | Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study developed a dynamic scene retrieval system using Contrastive Language-Image Pretraining (CLIP) models, which can be optimized for real-time deployment on edge devices. |
MOHAMMED ELHENAWY et. al. | arxiv-cs.CV | 2025-01-09 |
| 568 | What’s Happening- A Human-centered Multimodal Interpreter Explaining The Actions of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a novel Human-centered Multimodal Interpreter (HMI) system that leverages human preferences to provide visual, textual, and auditory feedback. |
XUEWEN LUO et. al. | arxiv-cs.HC | 2025-01-09 |
| 569 | Is Your Autonomous Vehicle Safe? Understanding The Threat of Electromagnetic Signal Injection Attacks on Traffic Scene Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Our research provides a comprehensive simulation and evaluation framework, aiming to enhance the development of more robust AI models and secure intelligent systems, ultimately contributing to the advancement of safer and more reliable technology across various fields. |
WENHAO LIAO et. al. | arxiv-cs.CR | 2025-01-09 |
| 570 | The Global Consensus on The Risk Management of Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In a global experimental study in eight countries with different cultural backgrounds and almost 11,000 participants, we compared risk distribution preferences. |
Sebastian Krügel; Matthias Uhl; | arxiv-cs.CY | 2025-01-09 |
| 571 | An LSTM-based Test Selection Method for Self-Driving Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work introduces a novel deep learning-based approach to the road classification problem, providing an effective solution for self-driving car test selection using a simulation environment. |
Ali Güllü; Faiz Ali Shah; Dietmar Pfahl; | arxiv-cs.RO | 2025-01-07 |
| 572 | Supervised Machine Learning for Real-Time Intrusion Attack Detection in Connected and Autonomous Vehicles: A Security Paradigm Shift IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Recent improvements in self-driving and connected cars promise to enhance traffic safety by reducing risks and accidents. However, security concerns limit their acceptance. These … |
Ahmad Aloqaily; Emad E. Abdallah; Hiba AbuZaid; Alaa E. Abdallah; Malak Al-hassan; | Informatics | 2025-01-06 |
| 573 | Enhancing Sensor Perception: Integrating Multi-Sensor Data for Robust Sensor Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper discusses a thorough method for integrating and synchronizing many sensors for autonomous driving and advanced driver assistance systems (ADAS). Our system’s primary … |
Kajal Gupta; Adit Singhal; Ajit Kumar; Pallab Maji; | 2025 17th International Conference on COMmunication Systems … | 2025-01-06 |
| 574 | Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This survey reviews the application of DRL algorithms in autonomous driving across typical scenarios, summarizing road features and recent advancements. |
ZHEN TIAN et. al. | arxiv-cs.RO | 2025-01-03 |
| 575 | A Bayesian Optimization Method for Finding The Worst-Case Scenarios of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Scenario-based testing has become a crucial method for certifying the safety of autonomous vehicles amidst the rapid advancement of autonomous driving technology. The exploration … |
Yanhao Huang; Jian Sun; Ye Tian; | IEEE Transactions on Intelligent Transportation Systems | 2025-01-01 |
| 576 | A Self-Selection Personalized Lane-Changing Trajectory Prediction Approach Through A Hybrid Deep Learning Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The difference between the desired trajectory of the drivers and the lane change trajectory of autonomous vehicles is one of the crucial factors that limit their development. This … |
Zhao Li; Xia Zhao; Chen Zhao; Yongtao Liu; Chang Wang; | IEEE Transactions on Vehicular Technology | 2025-01-01 |
| 577 | A Novel Data-Driven MPC Framework Using KDE and KPCA for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Modeling and controlling complex, nonlinear, large-scale systems such as autonomous vehicles presents significant challenges due to high dimensionality, uncertain dynamics, and … |
Romdhan Nasri; Jannet Jamii; Majdi Mansouri; Zouhaier Affi; Vicenç Puig; | IEEE Access | 2025-01-01 |
| 578 | Microscopic Modeling of Abnormal Driving Behavior: A Two-Dimensional Stochastic Formulation with Customizable Safety Levels Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Microscopic traffic models serve as indispensable tools in tasks such as constructing test scenarios for autonomous vehicles (AVs), predicting trajectories, and analyzing traffic … |
Hongsheng Qi; | IEEE Transactions on Intelligent Transportation Systems | 2025-01-01 |
| 579 | Energy Consumption Analysis of 5G C-V2X Sensor Sharing for Tele-Operated Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As autonomous driving technology advances, the demand for unmanned mobility applications continues to grow. However, due to the imperfections in current autonomous driving … |
Hanyoung Park; Yongjae Jang; Kanghyun Ko; Ji-Woong Choi; | IEEE Access | 2025-01-01 |
| 580 | Applications of Robust Statistics in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles have to interact with their environment with the goal to fulfill their tasks while respecting all desired constraints such as not causing dangerous situations, … |
Tino Werner; | IEEE Access | 2025-01-01 |
| 581 | A Review on Computer Vision-Based Object and Safe Navigation Zone Identification for Autonomous Vehicles and Advanced Driver Assistance Systems (ADAS) Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Vitor Augusto da Rosa Pereira; R. Berri; F. Osório; | Communication Systems and Applications | 2025-01-01 |
| 582 | A Performance Evaluation of Open Source Autonomous Driving Frameworks: Case Studies of Apollo and Autoware Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles (AVs) are revolutionizing transportation by enhancing safety and efficiency. Despite significant advancements, the literature lacks a systematic benchmarking … |
Marcus Vinícius Leal De Carvalho; Roberto Simoni; Leopoldo Rideki Yoshioka; João Francisco Justo Filho; Bruno M. K. Kawakami; | IEEE Access | 2025-01-01 |
| 583 | An Efficient High-Risk Lane-Changing Scenario Edge Cases Generation Method for Autonomous Vehicle Safety Testing IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Safety-critical scenarios for autonomous vehicle testing have been rare in the real world. However, virtual simulation technology can provide numerous and diverse testing … |
Shoucai Jing; Yuyu Zhao; Xiangmo Zhao; Fei Hui; Asad J. Khattak; | IEEE Transactions on Intelligent Vehicles | 2025-01-01 |
| 584 | Vehicle-to-Infrastructure Multi-Sensor Fusion (V2I-MSF) With Reinforcement Learning Framework for Enhancing Autonomous Vehicle Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Traditional autonomous driving systems, which rely solely on vehicle onboard unit (OBU) sensors, often face challenges such as limited perception range and sensor occlusion, while … |
Daud Khan; Sawera Aslam; Kyunghi Chang; | IEEE Access | 2025-01-01 |
| 585 | A Full-Lifecycle Calibration Method for Camera and LiDAR in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent years, advancements in light laser detection and ranging (LiDAR) and camera technologies have brought increasing attention to autonomous driving. Sensor fusion provides … |
MING WEI et. al. | IEEE Transactions on Instrumentation and Measurement | 2025-01-01 |
| 586 | ATHENA – Autonomous Vehicle Trajectory Planning Considered Human Action Awareness Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Large language models have brought revolutionary changes to autonomous driving algorithms, ushering them into the era of multimodality. However, existing vehicle trajectory … |
Jinghao Cao; Sheng Liu; Chaofan Wu; Yang Li; Sidan Du; | IEEE Signal Processing Letters | 2025-01-01 |
| 587 | A Game Theoretic Decision-Making Framework With Conflict-Aware Nash Equilibrium Selection for Autonomous Vehicles at Uncontrolled Intersections IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Uncontrolled intersections, as a typical urban traffic environment, are challenging scenarios for autonomous driving due to the potential conflicts and lack of co-ordination … |
Yuxiao Cao; Xiangrui Zeng; Zhouping Yin; | IEEE Transactions on Intelligent Transportation Systems | 2025-01-01 |
| 588 | Ego Vehicle Speed Estimation With Automotive Corner Radar Under Velocity Ambiguity Using Optimized MobileNetV3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accurate estimation of ego vehicle speed is crucial for autonomous driving and advanced driver-assistance systems (ADAS). However, conventional front-facing radar-based speed … |
Soyun Lee; Joonseok Yoon; Howon Kim; Jinwoo Kim; B. Kim; | IEEE Access | 2025-01-01 |
| 589 | Robust Pedestrian Crossing Intention Prediction Via Uncertainty-Guided Transformer Ensemble Network for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Predicting pedestrian crossing behavior is becoming increasingly important for autonomous driving vehicles, especially in the scene of urban transport. Most of the previous … |
Xiaobo Chen; Shilin Zhang; Wei Xu; Dapeng Cheng; Lei Yang; | IEEE Transactions on Instrumentation and Measurement | 2025-01-01 |
| 590 | Verifying Robustness of Neural Networks in Vision-Based End-to-End Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper addresses the verification of neural network robustness against perturbations of input data in vision-based end-to-end autonomous driving systems. The main … |
C. Bernardeschi; Giuseppe Lami; Francesco Merola; Federico Rossi; | IEEE Access | 2025-01-01 |
| 591 | Trajectory Planning of Autonomous Vehicles to Ensure Target QoS Requirements in 6G Mobile Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The rollout of future 6G mobile networks is expected to deliver cutting-edge services with ultra-fast speeds, minimal latency and widespread connectivity. To support these target … |
Inam Ullah; Hesham El Sayed; Alexis A. Dowhuszko; M. Khan; Jyri Hämäläinen; | IEEE Access | 2025-01-01 |
| 592 | Real-Time Quality Monitoring and Anomaly Detection for Vision Sensors in Connected and Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The emergence of Connected and Autonomous Vehicles (CAVs) has revolutionized the transportation landscape paving the way for enhanced traffic mobility and innovative and … |
E. POLITI et. al. | IEEE Access | 2025-01-01 |
| 593 | Safe and Energy-Efficient Jerk-Controlled Speed Profiling for On-Road Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Efficient speed planning is crucial for the safe and comfortable navigation of autonomous vehicles in dynamic environments. This paper introduces a novel energy-efficient, … |
Fadel Tarhini; R. Talj; M. Doumiati; | IEEE Transactions on Intelligent Vehicles | 2025-01-01 |
| 594 | RE-YOLO: Vehicle Detector Based on Knowledge Distillation YOLOv8 for Autonomous Driving Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Yuchen Xie; Danfeng Du; Yang Liu; | J. Comput. Civ. Eng. | 2025-01-01 |
| 595 | Traffic Impact Analysis of Expressway Accident in Mixed Traffic Environment of Connected and Autonomous Considering Multi-Factor Coupling Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Connected automated vehicle (CAVs) and human-driven Vehicles (HVs) are expected to coexist for an extended period, potentially introducing new safety challenges and altering … |
Yaqin He; Yang Kong; | IEEE Access | 2025-01-01 |
| 596 | Driving State-Aware Anomaly Detection for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the increasing popularity of autonomous driving systems (ADS) in autonomous vehicles (AV), in recent years, there have been many attacks targeting AVs and ADSs. Meanwhile, … |
Zhihao Wang; Lei Xue; Xiapu Luo; Xiaobo Ma; Guofei Gu; | IEEE Transactions on Information Forensics and Security | 2025-01-01 |
| 597 | Robust Vehicle State Estimation From Urban Driving to The Limits of Handling Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: High-precision vehicle position, velocity, and attitude estimation on any terrain with full-range vehicle motion is the next step to improve the availability of advanced vehicle … |
Daiki Mori; Masahito Kamekawa; Nobushige Fujieda; Yoshihiro Mizuno; | IEEE Transactions on Intelligent Transportation Systems | 2025-01-01 |
| 598 | Path Planning Based on Combination of Sampling and Learning-From-Demonstration for Static Obstacle Avoidance of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a sampling-based path planning algorithm for autonomous vehicles with the existence of static obstacles. Conventional sampling-based path planning algorithms … |
Youngmin Yoon; Ara Jo; | IEEE Access | 2025-01-01 |
| 599 | Learning-Based Heterogeneous Autonomous Vehicles Scheduling for On-Demand Last-Mile Transportation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Last-mile transportation, a critical component of public transit within integrated urban mobility systems, plays a pivotal role in promoting sustainability and requires immediate … |
Yongwu Liu; Binglei Xie; Yuying Long; Jiawei Chen; Gangyan Xu; | IEEE Transactions on Automation Science and Engineering | 2025-01-01 |
| 600 | Plausible Vehicle Trajectory Augmentation With Hybrid Machine Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent decades, advancements in autonomous driving technology have fundamentally transformed the automotive industry and transportation systems. Autonomous vehicles hold the … |
Junyeop Park; Hyeonsoo Jang; Byeongju Kang; Yunhyoung Hwang; | IEEE Access | 2025-01-01 |
| 601 | Study and Analysis of Human Discomfort in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles (AVs) are heralding a new era in transportation systems, attracting extensive attention from both academia and industries. Presently, predominant efforts are … |
Haotian Su; Yunyi Jia; | IEEE Transactions on Intelligent Vehicles | 2025-01-01 |
| 602 | PVDM-YOLOv8l: A Solution for Reliable Pedestrian and Vehicle Detection in Autonomous Vehicles Under Adverse Weather Conditions IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Noor Ul Ain Tahir; Zuping Zhang; Muhammad Asim; Sundas Iftikhar; A. El-latif; | Multim. Tools Appl. | 2025-01-01 |
| 603 | A Spatial Transformation Based Next Frame Predictor Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent years, the automobile industry has achieved astonishing success in making autonomous cars safer, more affordable, and more reliable. However, current autonomous driving … |
Saad Mokssit; Daniel Bonilla Licea; Bassma Guermah; Mounir Ghogho; | IEEE Access | 2025-01-01 |
| 604 | Emergency Content Routing and Dissemination Based on Vehicular Named Data Networking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Road-safety content routing and dissemination through connected vehicles significantly enhance autonomous driving safety and efficiency. This paper proposes a hybrid emergency … |
Xiaonan Wang; Ranran Zhang; | IEEE Transactions on Intelligent Transportation Systems | 2025-01-01 |
| 605 | Quantum Computing for Advanced Driver Assistance Systems and Autonomous Vehicles: A Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Advanced Driver Assistance System (ADAS) has become an essential feature in vehicles, and it is leading to the evolution of autonomous vehicles. But the technologies to implement … |
Avantika Rattan; Abhishek Rudra Pal; M. Gurusamy; | IEEE Access | 2025-01-01 |
| 606 | Stackelberg Game Based on Trajectory Prediction for Lane Change in Mixed Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To address lane-changing conflicts between intelligent and human-driven vehicles in mixed traffic environments, this study proposes a Stackelberg game-based decision-making method … |
Baichuan Shi; Li Zhai; Chang Liu; | IEEE Access | 2025-01-01 |
| 607 | Safe and Interpretable Human-Like Planning With Transformer-Based Deep Inverse Reinforcement Learning for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Human-like decision-making and planning are crucial for advancing the decision-making level of autonomous driving and increasing acceptance in the autonomous vehicle market, as … |
JIANGFENG NAN et. al. | IEEE Transactions on Automation Science and Engineering | 2025-01-01 |
| 608 | Intelligent Trajectory Planning for Autonomous Vehicles Via Adaptive Model Predictive Control Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study introduces an Adaptive Model Predictive Control (AMPC) framework for intelligent trajectory planning in autonomous vehicles navigating complex and dynamic highway … |
Catarina Gonçalves; Maria do Rosário Calado; Nuno Pombo; | IEEE Access | 2025-01-01 |
| 609 | A Review of YOLO Algorithm and Its Applications in Autonomous Driving Object Detection IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Object detection in autonomous driving scenarios represents a significant research direction within artificial intelligence. Real-time and accurate object detection and … |
JIAPEI WEI et. al. | IEEE Access | 2025-01-01 |
| 610 | Dynamic Car-Following Model With Jerk Suppression for Highway Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study proposes a dynamic safe car-following strategy that is based on dynamic adjustment of headway time with jerk suppression. Reinforcement learning models trained with … |
Ke Liu; Jingzhuo Ma; Edmund M.-K. Lai; | IEEE Access | 2025-01-01 |
| 611 | Road Perception for Autonomous Driving: Pothole Detection in Complex Environments Based on Improved YOLOv8 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Road surface pothole detection is crucial for ensuring the driving safety and path planning of autonomous vehicles. However, existing detection methods are often affected by … |
SIYUAN KONG et. al. | IEEE Access | 2025-01-01 |
| 612 | Methods for Improving Point Cloud Authenticity in LiDAR Simulation for Autonomous Driving: A Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Collecting LiDAR data for autonomous driving using real vehicles is costly, scenario-limited, and challenging to annotate. Simulated LiDAR point clouds offer flexible … |
Yanzhao Yang; Jian Wang; Xinyu Guo; Xinyu Yang; Wei Qin; | IEEE Access | 2025-01-01 |
| 613 | Recent Advances in Federated Learning for Connected Autonomous Vehicles: Addressing Privacy, Performance, and Scalability Challenges IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This review paper systematically explores the use of Federated Learning (FL) in Connected Autonomous Vehicles (CAVs) to improve vehicle performance, safety and user experience. FL … |
Asad Ali; Jianjun Huang; Ayesha Jabbar; | IEEE Access | 2025-01-01 |
| 614 | SA-TP$^{2}$: A Safety-Aware Trajectory Prediction and Planning Model for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Trajectory prediction and planning remain key challenges for autonomous vehicles, particularly in complex and dynamic environments. Existing methods, typically based on static … |
Haicheng Liao; Zhenning Li; Kaiqun Zhu; Keqiang Li; Cheng-zhong Xu; | IEEE Transactions on Robotics | 2025-01-01 |
| 615 | Trajectory Planning for Autonomous Cars in Low-Structured and Unstructured Environments: A Systematic Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving research has gained attention in recent years due to its great potential in reshaping transportation systems. It is highly noticeable that most research focuses … |
Cristiano Souza de Oliveira; Rafael de S. Toledo; Vitor H. Tulux Oliveira Victorio; A. von Wangenheim; | IEEE Access | 2025-01-01 |
| 616 | Pro-CHASER: A Prototype Testbed for Car Hacking Attack Simulation and Evaluation Using Raspberry Pi to Investigate Threat Landscape Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Recent advancements in transportation technology have necessitated a seamless integration of sensors, cameras, and communication protocols for autonomous vehicles. Ensuring … |
J. Vanajakshi; A. Renuka; Vidya Kamath; N. D. Adesh; | IEEE Access | 2025-01-01 |
| 617 | Performance and Environment-Aware Advanced Driving Assistance Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In autonomous and self-driving vehicles, visual perception of the driving environment plays a key role. Vehicles rely on machine learning (ML) techniques such as deep neural … |
Sreenitha Kasarapu; Sai Manoj Pudukotai Dinakarrao; | IEEE Transactions on Computers | 2025-01-01 |
| 618 | Improved Method of Driving Safety Field Modeling By Considering The Abnormal Transfer of Energy Between Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study presents a Driving Safety Field (DSF) modeling method for quantifying the risks faced by autonomous vehicles, aiming to address the real-time and precise quantification … |
Huilan Li; Xunjia Zheng; Xiangyang Xu; | IEEE Access | 2025-01-01 |
| 619 | Integrated Risk Grid Map for Collision Avoidance and Mitigation Maneuvers of Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As autonomous driving algorithms evolve, algorithms for collision avoidance are being developed for situations that primary algorithms cannot resolve. Generally, the positions of … |
Junseok Shim; Jaeseung Yu; Kibeom Lee; | IEEE Access | 2025-01-01 |
| 620 | ADORe: Unified Modular Framework for Vehicle and Infrastructure-Based System Level Automation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: : Recent advancements in automated driving have primarily focused on achieving autonomy within individual vehicles. However, a broader paradigm shift is emerging that leverages … |
M. MAARSSOE et. al. | International Conference on Vehicle Technology and … | 2025-01-01 |
| 621 | FedPRM: Federated Personalized Mixture Representation for Driver Intention Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Driver intention prediction has the potential to greatly improve the ability of autonomous vehicles (AVs) to effectively handle risky driving behaviors, thereby ensuring driving … |
ZHONGPAN ZHU et. al. | IEEE Transactions on Intelligent Vehicles | 2025-01-01 |
| 622 | DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce the Dynamics-Enhanced Learning MOdel (DEMO), a novel approach that combines a physics-based Vehicle Dynamics Model with advanced deep learning algorithms. |
Chengyue Wang; Haicheng Liao; Kaiqun Zhu; Guohui Zhang; Zhenning Li; | arxiv-cs.RO | 2024-12-30 |
| 623 | Revolutionizing Mobility:The Latest Advancements in Autonomous Vehicle Technology IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper explores the cutting-edge technologies driving the evolution of AVs,thechallengesfacedintheirdeployment,andthepotentialsocietal,economic,and regulatory impacts. |
Venkata Sai Chandra Prasanth Narisetty; Tejaswi Maddineni; | arxiv-cs.CE | 2024-12-29 |
| 624 | Leveraging Large Language Models for Enhancing Autonomous Vehicle Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a novel framework for incorporating LLMs into AV perception, enabling advanced contextual understanding, seamless sensor integration, and enhanced decision support. |
Athanasios Karagounis; | arxiv-cs.RO | 2024-12-28 |
| 625 | Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: On the other hand, a critical advancement in this space is using pre-trained Generative Large Language Models (LLMs) for decision-making and communication optimization for autonomous driving. Hence, this work presents opportunities and challenges with a vision of realizing the full potential of these technologies in critical defense applications, especially through the advancement of IoADV and its role in enhancing autonomous military operations. |
Murat Arda Onsu; Poonam Lohan; Burak Kantarci; | arxiv-cs.NI | 2024-12-28 |
| 626 | Zero-shot Hazard Identification in Autonomous Driving: A Case Study on The COOOL Benchmark Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents our submission to the COOOL competition, a novel benchmark for detecting and classifying out-of-label hazards in autonomous driving. |
Lukas Picek; Vojtěch Čermák; Marek Hanzl; | arxiv-cs.CV | 2024-12-27 |
| 627 | GSAVS: Gaussian Splatting-based Autonomous Vehicle Simulator Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce GSAVS, an autonomous vehicle simulator that supports the creation and development of autonomous vehicle models. |
Rami Wilson; | arxiv-cs.RO | 2024-12-25 |
| 628 | A Conceptual Framework for The Development of Autonomous Driving in 6G: The Role of AI and Edge Computing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The scientific community is focusing on developing 6G solutions beyond the 5G communications network, which will use Artificial Intelligence (AI) solutions at all levels of the … |
María-Dolores Cano; Antonio Guillen-Perez; I. Tasic; A. Villafranca; | 2023 8th International Conference on Control, Robotics and … | 2024-12-22 |
| 629 | Deep Learning-Based Trajectory Tracking Method for Intelligently Network-Connected Driverless Vehicles in Narrow Areas Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Driverless vehicles are the development direction of intelligent transportation. In recent years, the rapid development of driverless transportation technology, especially the … |
YaJun Han; Byung Cheul Kim; HaiChao Xu; | Inf. Technol. Control. | 2024-12-21 |
| 630 | SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we focus on simulation testing for ADS, where generating diverse and effective testing scenarios is a central task. |
Huiwen Yang; Yu Zhou; Taolue Chen; | arxiv-cs.SE | 2024-12-18 |
| 631 | EPN: An Ego Vehicle Planning-Informed Network for Target Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: However, due to the highly dynamic and multimodal nature of the task, accurately predicting the future trajectory of a target vehicle remains a significant challenge. To address this challenge, we propose an Ego vehicle Planning-informed Network (EPN) for multimodal trajectory prediction. |
Saiqian Peng; Duanfeng Chu; Guanjie Li; Liping Lu; Jinxiang Wang; | arxiv-cs.RO | 2024-12-18 |
| 632 | SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, ensuring safety in dynamic, high-risk environments and managing safety-critical long-tail events remain significant challenges. To address these issues, we propose SafeDrive, a knowledge- and data-driven risk-sensitive decision-making framework to enhance AV safety and adaptability. |
ZHIYUAN ZHOU et. al. | arxiv-cs.AI | 2024-12-17 |
| 633 | A Comprehensive Review on Traffic Datasets and Simulators for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Weevaluate annotation practices and quality metrics while examining howgeographic diversity and environmental conditions affect system reliability.Our analysis includes detailed characterizations of datasets organized byfunctional domains and an in-depth examination of traffic simulatorscategorized by their specialized contributions to research and development. |
SUPRIYA SARKER et. al. | arxiv-cs.RO | 2024-12-17 |
| 634 | Research on Compliance Thresholds Based on Analysis of Driver Behavior Characteristics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Traffic regulations provide a solid foundation for the safety of all road users; however, the ambiguous provisions and unclear safety thresholds within these regulations pose … |
Mingyue Ma; Weiqing Wang; Zelin Miao; Tao Wang; Guangming Zhao; | Syst. | 2024-12-16 |
| 635 | Coordination of Autonomous Vehicles Using A Mixed-Integer LPV-MPC Planner Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This work addresses the problem of coordinating multiple autonomous vehicles. In particular, an optimal planner based on Model Predictive Control (MPC) is designed for each … |
Sergio E. Samada; Vicenç Puig; F. Nejjari; R. Sarrate; | 2024 IEEE 63rd Conference on Decision and Control (CDC) | 2024-12-16 |
| 636 | Path Planning for Self-driving Vehicles Using Metaverse in 6G Era with AI-enabled Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Self-driving vehicles are the future of technology which is having the potential to reshape mobility by improving the safety, efficiency, and accessibility of transportation … |
Rachit Choudhary; Rahul Prakash; Rajat Chaudhary; Ishan Budhiraja; Amit Choudhary; | 2024 IEEE International Conference on Advanced Networks and … | 2024-12-15 |
| 637 | Does Increasing Takeover Time Budget Improve Driver Takeover Performance in Different Hazard Visibility Scenarios? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving technology has the potential to significantly reduce the number of traffic accidents. However, until full automation is achieved, drivers will still need to … |
Ming-Jie Li; Wei-Chi Huang; Yi-Yan Wang; Zi-Jian Han; Yafeng Niu; | 2024 IEEE International Conference on Industrial … | 2024-12-15 |
| 638 | Adaptive Trajectory Planning in Autonomous Vehicles: A Hierarchical Reinforcement Learning Approach with Soft Actor-Critic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study introduces a methodology enabling automated vehicles to perform lane changes effectively within complex road systems. It emphasizes a hierarchical driver behavior … |
Amit Kumar Sharma; Amit Choudhary; Rajat Chaudhary; Aditya Bhardwaj; Anjum Mohd Aslam; | 2024 IEEE International Conference on Advanced Networks and … | 2024-12-15 |
| 639 | CataBotSim: A Realistic Aquatic Simulator for Autonomous Surface Vehicle Testing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: While there are many self-driving car simulators, there is a general lack of high-fidelity aquatic simulators that allow testing perception and navigation pipelines for autonomous … |
Dinithi Silva-Sassaman; Mingi Jeong; Paul Sassaman; Zitong Wu; Alberto Quattrini Li; | 2024 Eighth IEEE International Conference on Robotic … | 2024-12-11 |
| 640 | Performance Evaluation of ROS2-DDS Middleware Implementations Facilitating Cooperative Driving in Autonomous Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The communication between vehicles or robots or ROS2 nodes depends directly on the vendor-specific configuration, data type, data size, and the DDS implementation used as middleware; in our study, we evaluate and investigate the limitations, capabilities, and prospects of the different domain communication for various vendor-specific DDS implementations for diverse sensor data type. |
Sumit Paul; Danh Lephuoc; Manfred Hauswirth; | arxiv-cs.RO | 2024-12-10 |
| 641 | Hierarchical Reinforcement Learning for Autonomous Parking Based on Kinematic Constraints Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent years, the rapid increase in urban vehicles has made finding vacant parking spaces a significant challenge. Our research focuses on reverse parking maneuvers that align … |
XIAOYU XU et. al. | 2024 IEEE International Conference on Robotics and … | 2024-12-10 |
| 642 | A Vehicle Forensics Framework with Post-Quantum Cryptography and Blockchain Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the recent rapid development of the Internet of Vehicles and autonomous driving technology, the demand for digital vehicle identification has also increased. Coupled with the … |
Chien-Lung Hsu; Yi-Cheih Hsu; Yu-Jen Shih; Cheng-Wei Wu; Fu-Hau Hsu; | 2024 International Symposium on Intelligent Signal … | 2024-12-10 |
| 643 | ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To this end, we propose a general and plug-and-play instantaneous trajectory prediction approach, called ITPNet. |
RONGQING LI et. al. | arxiv-cs.CV | 2024-12-10 |
| 644 | Securing Internet of Vehicles IoV Communications: A Biometric and Hash-Key Derivation Function HKDF-Based Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In light of advancements in the Internet of Things (IoT), the Internet of Vehicles (IoV) has emerged as a crucial component in developing autonomous vehicles. However, the rapid … |
HANAY ALMOMANI et. al. | 2024 25th International Arab Conference on Information … | 2024-12-10 |
| 645 | A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work proposes ADAV (Adversarial Defense for Autonomous Vehicles), a novel defense methodology against object vanishing patch attacks specifically designed for autonomous vehicles. |
Jaden Mu; | arxiv-cs.CV | 2024-12-09 |
| 646 | Hybrid Reinforcement Learning for Data Stream Freshness in Autonomous Vehicle Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles (AVs) are poised to become integral components of intelligent transportation systems, particularly within the framework of future smart cities. Traditional … |
Dariush Ebrahimi; Pronab Ghosh; Fadi Alzhouri; T. E. A. D. Oliveira; | GLOBECOM 2024 – 2024 IEEE Global Communications Conference | 2024-12-08 |
| 647 | DoScenes: An Autonomous Driving Dataset with Natural Language Instruction for Human Interaction and Vision-Language Navigation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This paper introduces doScenes, a novel dataset designed to facilitate research on human-vehicle instruction interactions, focusing on short-term directives that directly influence vehicle motion. |
PARTHIB ROY et. al. | arxiv-cs.CV | 2024-12-08 |
| 648 | COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: With our Challenge of Out-Of-Label (COOOL) benchmark, we introduce a novel dataset for hazard detection, offering versatile evaluation metrics applicable across various tasks, including novelty-adjacent domains such as Anomaly Detection, Open-Set Recognition, Open Vocabulary, and Domain Adaptation. |
ALI K. ALSHAMI et. al. | arxiv-cs.CV | 2024-12-06 |
| 649 | VTD: Visual and Tactile Database for Driver State and Behavior Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To address the subjective uncertainties in driver state and interaction behaviors, which are pivotal to the safety of Human-in-the-loop co-driving systems, we introduce a novel visual-tactile perception method. |
JIE WANG et. al. | arxiv-cs.RO | 2024-12-06 |
| 650 | Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Despite advancements in existing methods for generating driving scenes, significant challenges remain in view transformation and spatial-temporal dynamic modeling. To address these limitations, we propose a Spatial-Temporal simulAtion for drivinG (Stag-1) model to reconstruct real-world scenes and design a controllable generative network to achieve 4D simulation. |
LENING WANG et. al. | arxiv-cs.CV | 2024-12-06 |
| 651 | Learning Based MPC for Autonomous Driving Using A Low Dimensional Residual Model Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, a learning based Model Predictive Control (MPC) using a low dimensional residual model is proposed for autonomous driving. |
Yaoyu Li; Chaosheng Huang; Dongsheng Yang; Wenbo Liu; Jun Li; | arxiv-cs.RO | 2024-12-05 |
| 652 | Data Fusion of Semantic and Depth Information in The Context of Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, classification, and estimation of an object’s (pedestrian) position (concerning an ego 3D coordinate system) are studied and the distance between the ego vehicle and the object in the context of autonomous driving is measured. |
Md Abu Yusuf; Md Rezaul Karim Khan; Partha Pratim Saha; Mohammed Mahbubur Rahaman; | arxiv-cs.CV | 2024-12-04 |
| 653 | Driving Behaviour Research for Autonomous Vehicle Interaction Design: A Comprehensive Review and Future Directions Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Xiaofang Yuan; Fenghui Deng; Xiaoyu Yao; Yu Wu; | Int. J. Hum. Comput. Interact. | 2024-12-04 |
| 654 | A Method for Detecting Hands Off The Steering Wheel Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the field of autonomous driving, ensuring safe switching of vehicle control is the key to driving safety. Currently, most autonomous driving systems on the market are still in … |
Yujia Xu; Deyu Pan; Ling Ding; | Proceedings of the 6th ACM International Conference on … | 2024-12-03 |
| 655 | ECSeg: Edge-Cloud Switched Image Segmentation for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Existing autonomous vehicles have not utilized the cloud computing for execution of their deep learning-based driving tasks due to the long vehicle-to-cloud communication latency. … |
Siyuan Zhou; D. V. Le; Rui Tan; | 2024 21st Annual IEEE International Conference on Sensing, … | 2024-12-02 |
| 656 | PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Additionally, our benchmark analysis reveals the promising viability of PKRD-CoT for other MLLMs, such as Claude, LLava1.6, and Qwen-VL-Plus. Overall, this study contributes a novel and unified prompt-design framework for GPT-4.0 and other MLLMs in autonomous driving, while also rigorously evaluating the efficacy of these widely recognized MLLMs in the autonomous driving domain through comprehensive comparisons. |
Xuewen Luo; Fan Ding; Yinsheng Song; Xiaofeng Zhang; Junnyong Loo; | arxiv-cs.RO | 2024-12-02 |
| 657 | FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Existing methods may not realize personalized vehicle speed prediction while protecting drivers’ data privacy. We propose a Federated learning framework with Personalized Aggregation Weights (FedPAW) to overcome these challenges. |
YUEPENG HE et. al. | arxiv-cs.AI | 2024-12-02 |
| 658 | Securing Autonomous Vehicles Visual Perception: Adversarial Patch Attack and Defense Schemes With Experimental Validations IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles (AVs) heavily depend on machine learning-based algorithms for the purpose of environmental perception. However, extensively utilized deep learning-based visual … |
Jingguo Liang; Ru Yi; Jicheng Chen; Yiming Nie; Hui Zhang; | IEEE Transactions on Intelligent Vehicles | 2024-12-01 |
| 659 | Toward 6G-V2X: Aggregated RF-VLC for Ultra-Reliable and Low-Latency Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: We are witnessing a transition to a new era of mobility where pervasively connected (semi-) autonomous cars will deliver significantly improved safety, traffic efficiency, and … |
GURINDER SINGH et. al. | IEEE Communications Standards Magazine | 2024-12-01 |
| 660 | A Two-Dimensional Lane-Changing Dynamics Model Based on Force Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The lane-changing behavior exerts a profound influence on the dynamic attributes of traffic flow and road safety. Accurate analysis of lane-changing behavior not only facilitates … |
Aoxue Li; Meng Su; Haobin Jiang; Yixiao Chen; Wentao Chen; | IEEE Transactions on Intelligent Transportation Systems | 2024-12-01 |
| 661 | A Survey of Multi-Vehicle Consensus in Uncertain Networks for Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Multi-agent-based cooperation of autonomous vehicles(AVs) holds the potential to improve road safety, reduce emissions, and increase transport efficiency. However, the presence of … |
DUANFENG CHU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-12-01 |
| 662 | Integrated Intelligent Control Systems for Eco and Safe Driving in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles (AVs) have a significant impact on the expansion of greenhouse gas emissions as well as driving safety. Consequently, ensuring safety while improving the … |
Ashkan Yousefi Zadeh; Hamid Khayyam; Rammohan Mallipeddi; Ali Jamali; | IEEE Transactions on Intelligent Transportation Systems | 2024-12-01 |
| 663 | Efficient Motion Control for Heterogeneous Autonomous Vehicle Platoon Using Multilayer Predictive Control Framework IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving technology and platooning driving technology are important directions for the development of intelligent and connected vehicles. Aiming at the motion control … |
GUODONG DU et. al. | IEEE Internet of Things Journal | 2024-12-01 |
| 664 | Efficient Vehicle Trajectory Prediction With Goal Lane Segments and Dual-Stream Cross Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Real-time and efficient prediction of plausible trajectories of surrounding traffic agents is essential for autonomous driving. In reality, the motion of agents depends not only … |
Linhui Li; Xuecheng Wang; Jing Lian; Jian Zhao; Jun Hu; | IEEE Transactions on Intelligent Transportation Systems | 2024-12-01 |
| 665 | Advancements in Mixed Reality for Autonomous Vehicle Testing and Advanced Driver Assistance Systems: A Survey IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Although the interest in autonomous vehicles and advanced driver assistance systems (ADAS) is significantly increasing, they won’t be viable until their system outperforms human … |
Imane Argui; Maxime Guériau; Samia Ainouz; | IEEE Transactions on Intelligent Transportation Systems | 2024-12-01 |
| 666 | Modeling of Complex Traffic Interaction Under Uncontrolled Intersection Scenario Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Complex traffic scenarios at uncontrolled intersections are crucial for the test validation of autonomous driving systems. The core of the test scenario construction lies in the … |
Jiangkun Li; Weiwen Deng; Ying Wang; Jian Wang; Juan Ding; | IEEE Transactions on Intelligent Vehicles | 2024-12-01 |
| 667 | The Effect of Latency on The Performance of Remote Driving with Video Streaming Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Remote driving by humans offers more flexibility than self-driving vehicles in terms of road hazard perception. However, the latency between a vehicle and a driver depends on the … |
Phenpasu Kongsonthana; Popploy Jinnathampong; Suwapat Thongyoun; R. Chaichaowarat; | TENCON 2024 – 2024 IEEE Region 10 Conference (TENCON) | 2024-12-01 |
| 668 | Deep Reinforcement Learning for Autonomous Driving Based on Safety Experience Replay Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the field of autonomous driving, safety has always been a top priority, especially in recent years with the development and increasing application of deep reinforcement … |
Xiaohan Huang; Yuhu Cheng; Qiang Yu; Xuesong Wang; | IEEE Transactions on Cognitive and Developmental Systems | 2024-12-01 |
| 669 | A Digital Twins-Assisted Multi-Autonomous Vehicle Distributed Collaborative Path Planning Algorithm With Fidelity Guarantee Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving is state-of-the-art technology in the field of Internet of Vehicles (IoVs), considered a revolutionary solution to enhance driving safety and comfort. … |
Lun Tang; Jun Dai; Zhangchao Cheng; Hongpeng Zhang; Qianbin Chen; | IEEE Transactions on Intelligent Transportation Systems | 2024-12-01 |
| 670 | Quantitative Estimation of Driver Cognitive Workload: A Dual-Stage Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Conditional Automated Driving (CAD) has attracted widespread attention due to the substantial gap in achieving fully autonomous driving, wherein an essential endeavor entails … |
Jieyu Zhu; Chengqi Lv; Yanli Ma; Haohan Yang; Yaping Zhang; | IEEE Transactions on Intelligent Transportation Systems | 2024-12-01 |
| 671 | RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The resulting road scenarios lack diversity in both topology and geometry. To address this problem, we propose RoadGen to systematically generate diverse road scenarios. |
Fan Yang; You Lu; Bihuan Chen; Peng Qin; Xin Peng; | arxiv-cs.SE | 2024-11-29 |
| 672 | The Work Organization in Teleoperated Driving – A Human Reliability and Socio-technical Systems Perspective Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Very high levels of automation in road traffic are accompanied by the need for teleoperation. If the driverless autonomous vehicle is not able to solve a complex driving … |
Niklas Grabbe; Stefan Brettschneider; K. Bengler; | at – Automatisierungstechnik | 2024-11-28 |
| 673 | Autonomous Vehicle EHMI Communication Modalities: Pedestrian Preferences in Crossing Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents results from a study on the impact of negative attitudes towards robots on pedestrians’ needs for technological communication capabilities of autonomous … |
K. Kühnlenz; Barbara Kühnlenz; | at – Automatisierungstechnik | 2024-11-28 |
| 674 | TimeSync: GAN-Driven Temporal Feature Synchronization for Robust Collaborative Perception in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Cooperative perception is crucial for enhancing the safety and efficiency of autonomous driving systems. However, temporal misalignments caused by varying communication delays … |
YALONG LI et. al. | Proceedings of the 2024 International Conference on … | 2024-11-28 |
| 675 | A Cost-Effective Approach to Smooth A* Path Planning for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: By adapting the A* algorithm for a curvature constraint and incorporating a cost function that considers the smoothness of possible paths, we aim to bridge the gap between grid based path planning and smooth paths that are drivable by car-like vehicles. |
Lukas Schichler; Karin Festl; Selim Solmaz; Daniel Watzenig; | arxiv-cs.RO | 2024-11-27 |
| 676 | Explainable Deep Learning Improves Human Mental Models of Self-driving Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Here, we introduce concept-wrapper network (i.e., CW-Net), a method for explaining the behavior of black-box motion planners by grounding their reasoning in human-interpretable concepts. |
EOIN M. KENNY et. al. | arxiv-cs.RO | 2024-11-27 |
| 677 | SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: While 3D Gaussian Splatting (3DGS) enables real-time rendering, current methods are limited to camera data and are unable to render lidar data essential for autonomous driving. To address these limitations, we propose SplatAD, the first 3DGS-based method for realistic, real-time rendering of dynamic scenes for both camera and lidar data. |
Georg Hess; Carl Lindström; Maryam Fatemi; Christoffer Petersson; Lennart Svensson; | arxiv-cs.CV | 2024-11-25 |
| 678 | FollowGen: A Scaled Noise Conditional Diffusion Model for Car-Following Trajectory Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle trajectory prediction is crucial for advancing autonomous driving and advanced driver assistance systems (ADAS). Although deep learning-based approaches – especially those … |
JUNWEI YOU et. al. | ArXiv | 2024-11-23 |
| 679 | Enhancing Autonomous Driving Safety Through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Our approach anticipates potential threats and formulates safer routes by harnessing the predictive capabilities of world models, thus significantly reducing the need for extensive real-world trial-and-error learning. |
HONG DING et. al. | arxiv-cs.RO | 2024-11-22 |
| 680 | A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The work presented in this paper extends existing work by studying the interaction of more than two vehicles (agents) and does so by systematically expanding the road scene with additional traffic and ego vehicles. |
Larry Schester; Luis E. Ortiz; | arxiv-cs.RO | 2024-11-21 |
| 681 | FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this paper, we propose a novel hierarchically Federated Region-learning framework of Autonomous Vehicles (FedRAV), a two-stage framework, which adaptively divides a large area containing vehicles into sub-regions based on the defined region-wise distance, and achieves personalized vehicular models and regional models. |
YIJUN ZHAI et. al. | arxiv-cs.DC | 2024-11-21 |
| 682 | DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce the Deep Kernel-based Multi-task Gaussian Process (DKMGP), which leverages the structure of a variational multi-task and multi-step Gaussian process model enhanced with deep kernel learning for vehicle dynamics modeling. |
Jingyun Ning; Madhur Behl; | arxiv-cs.RO | 2024-11-20 |
| 683 | High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study introduces an innovative control framework that integrates trajectory optimization with drift maneuvers, aiming to improve the algorithm’s adaptability for real-vehicle implementation. |
SHIYUE ZHAO et. al. | arxiv-cs.RO | 2024-11-18 |
| 684 | Test Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Handling long tail corner cases is a major challenge faced by autonomous vehicles (AVs). While large language models (LLMs) hold great potentials to handle the corner cases with … |
ZUOYIN TANG et. al. | Proceedings of the 19th Workshop on Mobility in the … | 2024-11-18 |
| 685 | On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Personalized driving refers to an autonomous vehicle’s ability to adapt its driving behavior or control strategies to match individual users’ preferences and driving styles while … |
CAN CUI et. al. | ArXiv | 2024-11-17 |
| 686 | An Ethical Decision Making Algorithm for Autonomous Vehicles During An Inevitable Collision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In this paper, we discuss ethical dilemmas in autonomous driving, focusing on the decision-making processes during an inevitable collision. Different from previous comparisons and … |
Jingyao Tang; Xuewen Luo; Jinye Chen; Yuanyi Yuan; J. Loo; | Proceedings of the 2024 4th International Conference on Big … | 2024-11-15 |
| 687 | HOW RIDE SHARING AND AUTONOMOUS VEHICLES IMPACT CUSTOMER USAGE AND RELIABILITY Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The concept of Autonomous Vehicles ultimately generating an “order of magnitude” potential increase in the duty or usage cycle of a vehicle needs to be addressed in terms of … |
James M. Wasiloff; | SAE Technical Paper Series | 2024-11-15 |
| 688 | Autonomous Vehicle Safety Reasoning Utilizing Anticipatory Theory Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Today we have autonomous vehicles already on select road-ways and regions of this country operating in and around humans and human operated vehicles. The companies developing and … |
P. Frederick; M. Rose; K. Cheok; | SAE Technical Paper Series | 2024-11-15 |
| 689 | The Impact of Autonomy-Enabled Vehicles and System Controls on Non-Users in Semi-Controlled Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Commercial OEMs are fast realizing the long awaited dream of self-driving trucks and cars. The technology continues to improve with major implications for the Army. In the near … |
E. Straub; | SAE Technical Paper Series | 2024-11-15 |
| 690 | Are M&S Tools Ready for Assessing Off-road Mobility of Autonomous Vehicles? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous systems are the future of the Army and Ground Vehicle Systems Center has aligned itself accordingly to support unmanned ground vehicle (UGV) development. Physically … |
MICHAEL P. COLE et. al. | SAE Technical Paper Series | 2024-11-15 |
| 691 | DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose DiffRoad, a novel diffusion model designed to produce controllable and high-fidelity 3D road scenarios. |
Junjie Zhou; Lin Wang; Qiang Meng; Xiaofan Wang; | arxiv-cs.RO | 2024-11-14 |
| 692 | Planning By Simulation: Motion Planning with Learning-based Parallel Scenario Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a novel motion Planning approach by Simulation with learning-based parallel scenario prediction (PS). |
Tian Niu; Kaizhao Zhang; Zhongxue Gan; Wenchao Ding; | arxiv-cs.RO | 2024-11-14 |
| 693 | DP and QP Based Decision-making and Planning for Autonomous Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a decision-making and planning framework for autonomous vehicles, leveraging dynamic programming (DP) for global path planning and quadratic programming (QP) for local trajectory optimization. |
Zhicheng Zhang; | arxiv-cs.RO | 2024-11-11 |
| 694 | Monodepth-Based Object Detection and Depth Sensing for Vehicle Vision Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: For the appropriate deployment of digital twin technologies aimed at enhancing road safety, it is essential to detect surrounding objects and precisely estimate their distances. … |
Emre Çetin; T. T. Sarl; M. Assoy; Gokhan Secinti; | 2024 IEEE 10th World Forum on Internet of Things (WF-IoT) | 2024-11-10 |
| 695 | Results of The 2023 CommonRoad Motion Planning Competition for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In recent years, different approaches for motion planning of autonomous vehicles have been proposed that can handle complex traffic situations. |
Niklas Kochdumper; Youran Wang; Johannes Betz; Matthias Althoff; | arxiv-cs.RO | 2024-11-10 |
| 696 | Psychological Analysis of Right-Turn Driving Behavior for Development of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In this paper, the right-turn behavior at a left-hand traffic intersection was analyzed in order to control autonomous vehicles not only for a safe drive but also for a drive that … |
Shoji Takatera; Kenji Funahashi; Koji Tanida; Shinji Mizuno; | 2024 Joint 13th International Conference on Soft Computing … | 2024-11-09 |
| 697 | Knowledge Distillation Neural Network for Predicting Car-following Behaviour of Human-driven and Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Using a real-world trajectory dataset, this study uses descriptive and statistical analysis to investigate the car-following behaviours of three vehicle pairs: HDV-AV, AV-HDV and HDV-HDV in mixed traffic. |
Ayobami Adewale; Chris Lee; Amnir Hadachi; Nicolly Lima da Silva; | arxiv-cs.LG | 2024-11-08 |
| 698 | Developing A Safety Management System for The Autonomous Vehicle Industry Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Several frameworks for an AV industry SMS have been proposed or are currently under development. |
David Wichner; Jeffrey Wishart; Jason Sergent; Sunder Swaminathan; | arxiv-cs.RO | 2024-11-08 |
| 699 | IGDrivSim: A Benchmark for The Imitation Gap in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Developing autonomous vehicles that can navigate complex environments with human-level safety and efficiency is a central goal in self-driving research. |
Clémence Grislain; Risto Vuorio; Cong Lu; Shimon Whiteson; | arxiv-cs.RO | 2024-11-07 |
| 700 | MetaSSC: Enhancing 3D Semantic Scene Completion for Autonomous Driving Through Meta-Learning and Long-sequence Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Traditional architectures, such as 3D Convolutional Neural Networks (3D CNNs) and self-attention mechanisms, face challenges in efficiently capturing long-range dependencies within 3D voxel grids, limiting their effectiveness. To address these issues, we introduce MetaSSC, a novel meta-learning-based framework for SSC that leverages deformable convolution, large-kernel attention, and the Mamba (D-LKA-M) model. |
YANSONG QU et. al. | arxiv-cs.CV | 2024-11-06 |
| 701 | Evaluating V2X Communications in The CARLA Simulator for A Collaborative Planning Use Case Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle-to-Everything (V2X) communication is pivotal for enhancing the safety and efficiency of autonomous driving. The CARs Learning to Act (CARLA)simulation platform is a key … |
DANIEL VILLALOBOS et. al. | 2024 7th Iberian Robotics Conference (ROBOT) | 2024-11-06 |
| 702 | Federated Data-Driven Kalman Filtering for State Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a novel localization framework based on collaborative training or federated learning paradigm, for highly accurate localization of autonomous vehicles. |
Nikos Piperigkos; Alexandros Gkillas; Christos Anagnostopoulos; Aris S. Lalos; | arxiv-cs.RO | 2024-11-06 |
| 703 | A Spatial–Temporal Predictive Transformer Network for Level-3 Autonomous Vehicle Decision-Making Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study explores the effect of takeover time (TOT) on decision-making for Level-3 autonomous vehicles (L3-AVs). The existing research on L3-AV lacks an in-depth analysis of the … |
HONGBO GAO et. al. | IEEE Transactions on Neural Networks and Learning Systems | 2024-11-06 |
| 704 | Exploring The Interplay Between Video Generation and World Models in Autonomous Driving: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Furthermore, this paper discusses the key evaluation metrics employed in this domain, such as Chamfer distance for 3D scene reconstruction and Fr\’echet Inception Distance (FID) for assessing the quality of generated video content. By analyzing the interplay between video generation and world models, this survey identifies critical challenges and future research directions, emphasizing the potential of these technologies to jointly advance the performance of autonomous driving systems. |
AO FU et. al. | arxiv-cs.AI | 2024-11-05 |
| 705 | Nudge: Haptic Pre-Cueing to Communicate Automotive Intent Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To increase driver awareness in a fully autonomous vehicle, we developed several haptic interaction prototypes that signal what the car is planning to do next. The goal was to use … |
NIKHIL GOWDA et. al. | ArXiv | 2024-11-04 |
| 706 | An Online Defense Against Object-based LiDAR Attacks in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: LiDAR (Light Detection and Ranging) has been widely used in autonomous driving to perceive the surrounding environment of self-driving cars. Advanced LiDAR perception systems … |
Yan Zhang; Zihao Liu; Chongliu Jia; Yi Zhu; Chenglin Miao; | Proceedings of the 22nd ACM Conference on Embedded … | 2024-11-04 |
| 707 | Boosting Collaborative Vehicular Perception on The Edge with Vehicle-to-Vehicle Communication IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Collaborative Vehicular Perception (CVP) enables connected and autonomous vehicles (CAVs) to cooperatively extend their views through wirelessly sharing their sensor data. … |
RUIYANG ZHU et. al. | Proceedings of the 22nd ACM Conference on Embedded … | 2024-11-04 |
| 708 | Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Despite intensive research on driver behavior prediction, existing approaches typically overlook the interactions between AVs and HDVs assuming that HDV trajectories are not affected by AV actions. To address this gap, we present a transformer-transfer learning-based interaction-aware trajectory predictor for safe motion planning of autonomous driving, focusing on a vehicle-to-vehicle (V2V) interaction scenario consisting of an AV and an HDV. |
JINHAO LIANG et. al. | arxiv-cs.RO | 2024-11-03 |
| 709 | Survey on Simulation Testing of Autonomous Driving System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the rapid development of autonomous driving technology, autonomous vehicles have emerged as a prominent application of artificial intelligence. They play a vital role in … |
Chunyan Xia; Changyou Zheng; Yuchen Xia; Xiangjing Kong; Xiayi Song; | 2024 11th International Conference on Dependable Systems … | 2024-11-02 |
| 710 | Human-Vehicle Shared Steering Control for Obstacle Avoidance: A Reference-Free Approach With Reinforcement Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Although artificial intelligence has made tremendous progress recently, there remain various technical issues and ethical problems before autonomous vehicles can be available to … |
Liang Yan; Xiaodong Wu; Chongfeng Wei; Sheng Zhao; | IEEE Transactions on Intelligent Transportation Systems | 2024-11-01 |
| 711 | Adaptive Robust Autonomous Vehicle Driving Strategy in Transportation Systems: Gated Leakage Mechanism Designs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In order to achieve the stability and safety of the autonomous vehicle while reducing the control cost, a driving strategy for uncertain autonomous vehicle is presented. There are … |
Rongrong Yu; Si Lu; Xu Zhao; Ye-Hwa Chen; Chenming Li; | IEEE Transactions on Vehicular Technology | 2024-11-01 |
| 712 | Smart Traffic Monitoring Through Real-Time Moving Vehicle Detection Using Deep Learning Via Aerial Images for Consumer Application IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a novel deep-learning method for detecting and tracking vehicles in autonomous driving scenarios, with a focus on vehicle failure situations. The primary … |
AVANEESH SINGH et. al. | IEEE Transactions on Consumer Electronics | 2024-11-01 |
| 713 | A Review for Autonomous Vehicles Technologies Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Nowadays, scientific developments in the vehicle and infrastructure automation sectors are developing steadily to benefit end users in ways like reducing traffic congestion, … |
Madhuri Pagale; Rahul Sharma; Anuradha Thakare; | Multiagent and Grid Systems | 2024-11-01 |
| 714 | Experimental Study of Multi-Camera Infrastructure Perception for V2X-Assisted Automated Driving in Highway Merging Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accurate and reliable perception of the surrounding environment, e.g., detection and classification of nearby objects, is the primary and most important function of … |
KANG SHAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-11-01 |
| 715 | Fault-Tolerant Cooperative Control Design for Car-Like Vehicles Subject to Actuator Faults and Fading Channels Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This brief addresses the problem of fault-tolerant cooperative control (FTCC) for a group of car-like vehicles experiencing actuator faults. The main feature of this study is the … |
Mahmoud Hussein; Youmin Zhang; Zhaoheng Liu; | IEEE Transactions on Control Systems Technology | 2024-11-01 |
| 716 | Precise Individual Illumination Control of Matrix LED With Bypass Gate Driver and 8-Bit PWM Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Precise illumination control of matrix light-emitting diode (LED) headlamps is crucial for both energy efficiency in electric vehicles and driver safety. Enhancing energy … |
JONGHYUK CHAE et. al. | IEEE Transactions on Circuits and Systems II: Express Briefs | 2024-11-01 |
| 717 | Enhanced Scene Understanding and Situation Awareness for Autonomous Vehicles Based on Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accurate visual perception and comprehensive scene understanding are critical for the safety and reliability of autonomous vehicles (AVs). Nevertheless, the efficacy of visual … |
YIYUE ZHAO et. al. | IEEE Transactions on Systems, Man, and Cybernetics: Systems | 2024-11-01 |
| 718 | A Systematic Mapping of Autonomous Vehicle Prototypes: Trends and Opportunities Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving vehicles (ADVs) are the next significant evolution in transportation systems. Using machine learning techniques supported by strong processing units and … |
Ericson Silva; Felipe Soares; Wenderson Júnio de Souza; Henrique C. Freitas; | IEEE Transactions on Intelligent Vehicles | 2024-11-01 |
| 719 | Research on Vehicle Trajectory Prediction Methods in Urban Main Road Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the autonomous driving realm, it is crucial to accurately predict the trajectory of other traffic vehicles around an autonomous vehicle. This paper proposes a novel scheme to … |
SUMIN ZHANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-11-01 |
| 720 | Green-EMulTO: A Next Generation Edge-Assisted Multi-Level Traffic Orchestrator for Green Computing in Consumer Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Imaging technology in vehicular communications has advanced in the consumer industry. Owing to its ability of sensing ambient environment, decision control, and actuating the … |
Oshin Rawlley; Shashank Gupta; Kashish Mahajan; Shailendra Rathore; | IEEE Transactions on Consumer Electronics | 2024-11-01 |
| 721 | Reduced-Scale Mobile Robots for Autonomous Driving Research Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Reduced-scale mobile robots (RSMRs) are extensively used for studying autonomous driving due to their ability to test models and algorithms in physical environments, their lack of … |
Zhuopeng Xie; Mohsen Ramezani; David M Levinson; | IEEE Transactions on Intelligent Transportation Systems | 2024-11-01 |
| 722 | Fast Online Computation of MPC-Based Integrated Decision Control for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the paper, an integrated decision control (IDC) architecture has been introduced, seamlessly integrating autonomous decision-making and motion control into a unified processing … |
SHAOSONG LI et. al. | IEEE Transactions on Intelligent Vehicles | 2024-11-01 |
| 723 | Game-Theory in Practice: Application to Motion Planning and Decision Making in An Autonomous Shuttle Bus Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous techniques are becoming increasingly integrated into our daily lives. Many advanced driver assistance systems (ADAS), including functions like lane-keeping assist and … |
KEQI SHU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-11-01 |
| 724 | Optimization of Software Component Allocation for Autonomous Driving in Cloud–Vehicular Edge Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: A computing system for autonomous vehicles must efficiently process vast amounts of data from various sensors in real-time and have a backup design to handle system failures. … |
Joo-Hyun Park; Yuseung Na; Sungjin Cho; Kichun Jo; | IEEE Internet of Things Journal | 2024-11-01 |
| 725 | Glare Mitigation for Enhanced Autonomous Vehicle Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vision sensors are versatile and can capture a wide range of visual cues, such as color, texture, shape, and depth. This versatility, along with the relatively inexpensive … |
M.Zeshan Alam; Zeeshan Kaleem; S. Kelouwani; | IEEE Transactions on Intelligent Vehicles | 2024-11-01 |
| 726 | Analyzing Lane Change Execution Behavior on Expressway Using An Instrumented Vehicle: A Random Effect Accelerated Failure Time Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Lane changing events have significant impact on road safety and traffic operations. This study focuses on comprehensive analysis of drivers’ lane change execution processes on … |
Akshay Gupta; Pushpa Choudhary; Manoranjan Parida; | IEEE Transactions on Intelligent Transportation Systems | 2024-11-01 |
| 727 | Driving Behavior Model for Multi-Vehicle Interaction at Uncontrolled Intersections Based on Risk Field Considering Drivers’ Visual Field Characteristics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In most studies on modeling driving behavior at uncontrolled intersections, multi-vehicle interaction scenarios are usually categorized and modeled separately as moving-across … |
Zhaojie Wang; Guangquan Lu; Haitian Tan; | IEEE Transactions on Intelligent Transportation Systems | 2024-11-01 |
| 728 | Human–Machine Shared Control for Industrial Vehicles: A Personalized Driver Behavior Recognition and Authority Allocation Scheme IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Human-machine shared control has become a transitional solution from manual driving to autonomous driving, attracting increasing attention. In order to effectively enhance the … |
Yang Zhang; Jianwei Lu; Guang Xia; A. Khajepour; | IEEE Transactions on Intelligent Vehicles | 2024-11-01 |
| 729 | YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a detailed analysis of YOLO11, the latest advancement in the YOLO series of deep learning models, focusing exclusively on vehicle detection tasks. |
Mujadded Al Rabbani Alif; | arxiv-cs.CV | 2024-10-30 |
| 730 | Self-Driving Car Racing: Application of Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Motivated by the rise of AI-driven mobility and autonomous racing events, the project aims to develop an AI agent that efficiently drives a simulated car in the OpenAI Gymnasium CarRacing environment. |
Florentiana Yuwono; Gan Pang Yen; Jason Christopher; | arxiv-cs.AI | 2024-10-30 |
| 731 | Integrated Automatic Parking Path Planning and Trajectory Tracking Optimization Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Current automatic parking systems often separate path planning and trajectory tracking, increasing complexity and failing to meet the parking needs of autonomous cars. … |
JUNREN SHI et. al. | Transactions of the Institute of Measurement and Control | 2024-10-29 |
| 732 | Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, we propose a novelmulti-task DMS, termed VDMoE, which leverages RGB video input to monitor driverstates non-invasively. |
JIYAO WANG et. al. | arxiv-cs.CV | 2024-10-28 |
| 733 | Impact of V2V Communication on Robustness of Autonomous Driving Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous Driving Systems (ADS) hold significant promise in preventing traffic accidents and alleviating urban traffic congestion. A critical component of the ADS software stack … |
Lejin Li; Xiaoyi Zhang; Shuncheng Tang; Zhenya Zhang; Jianjun Zhao; | 2024 IEEE 35th International Symposium on Software … | 2024-10-28 |
| 734 | Reference-Free Formula Drift with Reinforcement Learning: From Driving Data to Tire Energy-Inspired, Real-World Policies Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We investigate real-time drifting strategies that put the car where needed while bypassing expensive trajectory optimization. |
Franck Djeumou; Michael Thompson; Makoto Suminaka; John Subosits; | arxiv-cs.RO | 2024-10-28 |
| 735 | Association of Multi-sensor Data for Autonomous Car Driving: A Comparative Evaluation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Summary: Autonomous driving has the potential to revolutionize transportation by making it safer, more efficient, and more useful. However, calls on the automobile to be able to … |
E. GHIASI et. al. | 2024 IEEE 36th International Conference on Tools with … | 2024-10-28 |
| 736 | Benchmarking Autonomous Driving Systems Using A Modular and Scalable Simulation Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous Driving technology has advanced significantly over the past decades driven by key developments in Machine Learning, Computer Vision and Control Systems. Despite its … |
Dávid Szilágyi; Kuderna-Iulian Benta; Christian Sacarea; | 2024 IEEE 36th International Conference on Tools with … | 2024-10-28 |
| 737 | Empowering Autonomous Shuttles with Next-Generation Infrastructure Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the concept, implementation, and evaluation of a proof-of-concept deployment of an autonomous shuttle integrated with smart infrastructure at a public fair. |
SVEN OCHS et. al. | arxiv-cs.RO | 2024-10-28 |
| 738 | GAS: Generating Fast & Accurate Surrogate Models for Simulations of Autonomous Vehicle Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Modern autonomous vehicle systems (AVS) use complex perception and control components. Developers gradually change these components over the vehicle’s lifecycle, requiring … |
Keyur Joshi; Chiao Hsieh; Sayan Mitra; Sasa Misailovic; | 2024 IEEE 35th International Symposium on Software … | 2024-10-28 |
| 739 | Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System Through Distributed Database and Multimodal Perception: Demonstrated in Crossroads Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This paper introduces a novel Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System (VVCCS), designed to revolutionize macro-scope traffic planning and collision avoidance in autonomous driving. |
XINWEN ZHU et. al. | arxiv-cs.RO | 2024-10-23 |
| 740 | YOLO-Vehicle-Pro: A Cloud-Edge Collaborative Framework for Object Detection in Autonomous Driving Under Adverse Weather Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, in low-visibility environments such as hazy conditions, the performance of traditional object detection algorithms often degrades significantly, failing to meet the demands of autonomous driving. To address this challenge, this paper proposes two innovative deep learning models: YOLO-Vehicle and YOLO-Vehicle-Pro. |
XIGUANG LI et. al. | arxiv-cs.CV | 2024-10-23 |
| 741 | Pedestrian Motion Prediction Evaluation for Urban Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: However, a relatively unexplored angle is the integration of the state-of-art solutions into existing autonomous driving stacks and evaluating them in real-life conditions rather than sanitized datasets. We analyze selected publications with provided open-source solutions and provide a perspective obtained by integrating them into existing Autonomous Driving framework – Autoware Mini and performing experiments in natural urban conditions in Tartu, Estonia to determine valuability of traditional motion prediction metrics. |
Dmytro Zabolotnii; Yar Muhammad; Naveed Muhammad; | arxiv-cs.RO | 2024-10-22 |
| 742 | Cooperation for Ethical Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The success in the adoption of autonomous vehicles is dependent on their ability to solve rarely occurring safety-critical corner cases. Vehicular communications (V2X) aim at … |
G. Sidorenko; Johan Thunberg; Alexey Vinel; | 2024 20th International Conference on Wireless and Mobile … | 2024-10-21 |
| 743 | Intricate Object Detection in Self Driving Environments with Edge-Adaptive Depth Estimation(EADE) Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This has limitations for reliable object identification in autonomous driving environments containing a variety of objects, which is a challenge for clear criteria-based object avoidance and collision protection. To overcome these limitations, this paper proposes Edge-Adaptive Depth Estimation(EADE). |
Subi Kim; Jieun Kang; Yongik Yoon; | cikm | 2024-10-21 |
| 744 | Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We argue that we can, and must. |
ALEXANDER KRENTSEL et. al. | arxiv-cs.NI | 2024-10-21 |
| 745 | Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Our research highlights the significant potential of LLMs to enhance various aspects of autonomous vehicle technology, from perception and scene understanding to language interaction and decision-making. |
CAN CUI et. al. | arxiv-cs.RO | 2024-10-20 |
| 746 | LLM4AD: Large Language Models for Autonomous Driving—Concept, Review, Benchmark, Experiments, and Future Trends Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the broader adoption and highly successful development of Large Language Models (LLMs), there has been growing interest and demand for applying LLMs to autonomous driving … |
CAN CUI et. al. | Proceedings of the IEEE | 2024-10-20 |
| 747 | Learning Autonomous Driving from Aerial Imagery Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we consider the problem of learning end to end perception to control for ground vehicles solely from aerial imagery. |
Varun Murali; Guy Rosman; Sertac Karaman; Daniela Rus; | arxiv-cs.RO | 2024-10-18 |
| 748 | DriveRP: RAG and Prompt Engineering Embodied Parallel Driving in Cyber-Physical-Social Spaces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent years, numerous technological advancements in Artificial Generative Intelligences (AGIs) have demonstrated significant potential to transform the intelligence … |
JUN HUANG et. al. | 2024 IEEE 4th International Conference on Digital Twins and … | 2024-10-18 |
| 749 | A Survey: Emerging Cybersecurity Threats in Driverless Cars Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In light of the increasing adoption of autonomous vehicles in our transportation networks, it is crucial to emphasize the significance of implementing strong cybersecurity … |
Vaibhavi Tiwari; Dharshana Rajasekar; Jiayin Wang; | 2024 IEEE 15th Annual Ubiquitous Computing, Electronics & … | 2024-10-17 |
| 750 | LiDAR-based Localization for Autonomous Vehicles – Survey and Recent Trends Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving technology has gained significant interest recently due to its potential for efficiency, convenience, and safety. Within this context, localization, which aims … |
Minjun Choi; Junhyeong Ryu; Yongseok Son; Sungrae Cho; Jeongyeup Paek; | 2024 15th International Conference on Information and … | 2024-10-16 |
| 751 | Design of DQN-Based Path Tracking Algorithm for Robust Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Despite the increasing interest in autonomous driving, significant challenges remain, particularly in achieving high and stable tracking performance. We herein propose a deep … |
Seung Geon Yang; Eun Ho Cho; Jeongyun Kim; Seung-Chan Lim; | 2024 15th International Conference on Information and … | 2024-10-16 |
| 752 | An Online Self-learning Graph-based Lateral Controller for Self-Driving Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper uses graphs to present novel techniques to learn the vehicle model and the lateral controller online. |
Jilan Samiuddin; Benoit Boulet; Di Wu; | arxiv-cs.RO | 2024-10-15 |
| 753 | Adversarial Attack on Trajectory Prediction for Autonomous Vehicles with Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accurate trajectory prediction is crucial for autonomous vehicles to realize safe driving. Current trajectory prediction approaches generally rely on deep neural networks, which … |
Jiping Fan; Zhenpo Wang; Guoqiang Li; | 2024 IEEE/RSJ International Conference on Intelligent … | 2024-10-14 |
| 754 | ROS-lite2: Autonomous-driving Software Platform for Clustered Many-core Processor Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In intelligent robotics, which spans from assistive devices to automation, the development of autonomous systems merges computational and physical capabilities, such as in … |
Yuta Tajima; Shuhei Tsunoda; Takuya Azumi; | 2024 IEEE/RSJ International Conference on Intelligent … | 2024-10-14 |
| 755 | Conversational Code Generation: A Case Study of Designing A Dialogue System for Generating Driving Scenarios for Testing Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Cyber-physical systems like autonomous vehicles are tested in simulationbefore deployment, using domain-specific programs for scenario specification.To aid the testing of autonomous vehicles in simulation, we design a naturallanguage interface, using an instruction-following large language model, toassist a non-coding domain expert in synthesising the desired scenarios andvehicle behaviours. |
Rimvydas Rubavicius; Antonio Valerio Miceli-Barone; Alex Lascarides; Subramanian Ramamoorthy; | arxiv-cs.CL | 2024-10-13 |
| 756 | Cloud Architectural Design for Image-based Vehicle Positioning in Traffic Management Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle positioning algorithms are essential for improving traffic management and safety by accurately locating vehicles in real-time, and, thus, minimizing congestion and … |
Iosif-Alin Beti; P. Herghelegiu; C. Amarandei; C. Caruntu; | 2024 28th International Conference on System Theory, … | 2024-10-10 |
| 757 | Autonomous Driving in Unstructured Environments: How Far Have We Come? IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This review aims to consolidate knowledge and encourage further research for autonomous driving in unstructured environments. |
CHEN MIN et. al. | arxiv-cs.RO | 2024-10-10 |
| 758 | Approaching Intelligent In-vehicle Infotainment Systems Through Fusion Visual-Speech Multimodal Interaction: A State-of-the-Art Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Advanced in-vehicle infotainment systems are part of the future’s intelligent autonomous vehicles. Developing such systems requires advanced interaction modalities to be utilized. … |
Mahmoud Baghdadi; Achim Ebert; | Proceedings of the European Conference on Cognitive … | 2024-10-08 |
| 759 | Overcoming Autoware-Ubuntu Incompatibility in Autonomous Driving Systems-Equipped Vehicles: Lessons Learned Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The objective of the paper is to provide an explicit and detail-oriented presentation to showcase how to address incompatibility issues among an autonomous vehicle’s operating interference. |
Dada Zhang; Md Ruman Islam; Pei-Chi Huang; Chun-Hsing Ho; | arxiv-cs.RO | 2024-10-08 |
| 760 | Moral Judgements on Human and Autonomous Drivers’ Decisions in Unavoidable Collisions Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Moral and ethical issues are constantly arising in assessing the perception of autonomous vehicles and their “behaviour” in daily traffic situations. A debated question is how … |
AUGUSTO BOVESI et. al. | Proceedings of the European Conference on Cognitive … | 2024-10-08 |
| 761 | Tentacles: A Middleware with Multi-Network Communication Reliability for Vehicle-Infrastructure Cooperative Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle-Infrastructure Cooperative Autonomous Driving (CAD) is a new paradigm of autonomous driving, which relies on the cooperation between intelligent roads and autonomous … |
Tianze Wu; Sa Wang; Yungang Bao; Weisong Shi; | 2024 IEEE 100th Vehicular Technology Conference … | 2024-10-07 |
| 762 | STOP! Camera Spoofing Via The In-Vehicle IP Network Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We demonstrate the effectiveness of the width-varying defense through theoretical analysis and by an extensive evaluation of several types of attack in a wide range of realistic road driving conditions. |
Dror Peri; Avishai Wool; | arxiv-cs.CR | 2024-10-07 |
| 763 | Data-driven Diffusion Models for Enhancing Safety in Autonomous Vehicle Traffic Simulations Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, current diffusion-based methods fail to adequately address the complexity of driver behavior and traffic density information, both of which significantly influence driver decision-making processes. In this work, we present a novel approach to overcome these limitations by introducing adversarial guidance functions for diffusion models that incorporate behavior complexity and traffic density, thereby enhancing the generation of more effective and realistic safety-critical traffic scenarios. |
Jinxiong Lu; Shoaib Azam; Gokhan Alcan; Ville Kyrki; | arxiv-cs.RO | 2024-10-07 |
| 764 | Latency Analysis of In-Vehicle Network for Advanced Driver Assistance System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Considering the advancements in autonomous driving technologies, the necessity for an advanced driver assistance system (ADAS) to incorporate a multitude of sensors for enhanced … |
Hanyoung Park; Minji Cho; Yongjae Jang; Ji-Woong Choi; | 2024 IEEE 100th Vehicular Technology Conference … | 2024-10-07 |
| 765 | Towards Continual Federated Learning of Monocular Depth for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Recent investigations in computer vision for autonomous vehicles have focused on depth estimation from images, owing to its cost-efficiency and adaptability. Monocular depth … |
E. F. D. S. Soares; C. A. V. Campos; | 2024 IEEE 100th Vehicular Technology Conference … | 2024-10-07 |
| 766 | A Byzantine-Fault-Tolerant Federated Learning Method Using Tree-Decentralized Network and Knowledge Distillation for Internet of Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving technology achieves self-driving capability through extensive training on user driving data. As data regulations tighten, Federated Learning(FL) helps … |
JINHUA CHEN et. al. | 2024 IEEE 100th Vehicular Technology Conference … | 2024-10-07 |
| 767 | A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this paper, we propose a racing simulation platform based on the simulator Assetto Corsa to test, validate, and benchmark autonomous driving algorithms, including reinforcement learning (RL) and classical Model Predictive Control (MPC), in realistic and challenging scenarios. |
ADRIAN REMONDA et. al. | nips | 2024-10-07 |
| 768 | IEEE 802.11 VANETs for Safety of Autonomous Driving: QoS Requirements & Benchmarking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: It is anticipated that wireless vehicular ad hoc networks (VANETs) can further enhance the safety of autonomous vehicles. Recently, two major standards for the next generation of … |
Xiaomin Ma; Shengli Ding; Tingyu Zhang; | 2024 IEEE 100th Vehicular Technology Conference … | 2024-10-07 |
| 769 | Safeguarding Personal Identifiable Information (PII) After Smartphone Pairing with A Connected Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The integration of connected autonomous vehicles (CAVs) has significantly enhanced driving convenience, but it has also raised serious privacy concerns, particularly regarding the … |
Jason Carlton; Hafiz Malik; | J. Sens. Actuator Networks | 2024-10-06 |
| 770 | Reinforcement-Based Collision Avoidance Strategy for Autonomous Vehicles to Multiple Two-Wheelers at Un-Signalized Obstructed Intersections Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Two-Wheelers (TWs) such as bikes, e-bikes, and motorcycles often occupy lanes illegally and exceed speed limits, which leads to many traffic accidents. Therefore, we use deep … |
Delei Zhang; Liang Qi; Wenjing Luan; Ruiping Yang; Kun Liu; | 2024 IEEE International Conference on Systems, Man, and … | 2024-10-06 |
| 771 | Lane Detection System for Driver Assistance in Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work presents the development of a lane detection system aimed at assisting the driving of conventional and autonomous vehicles. |
Kauan Divino Pouso Mariano; Fernanda de Castro Fernandes; Luan Gabriel Silva Oliveira; Lyan Eduardo Sakuno Rodrigues; Matheus Andrade Brandão; | arxiv-cs.CV | 2024-10-05 |
| 772 | Behavior Trees in Functional Safety Supervisors for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This paper introduces a novel software architecture based on behavior trees, aligned with established standards and designed to supervise vehicle functional safety in real time. |
Carlos Conejo; Vicenç Puig; Bernardo Morcego; Francisco Navas; Vicente Milanés; | arxiv-cs.RO | 2024-10-03 |
| 773 | PST-Transformer: A Two-Stage Model for 3-D Driving Pose Estimation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Driver monitoring systems are becoming more common in modern cars, and they are crucial as autonomous vehicles depend on the driver’s continued attention. The increasing … |
HUI ZHAO et. al. | IEEE Internet of Things Journal | 2024-10-01 |
| 774 | A Security Protocol for Vehicle Platoon Verification Using Optical Camera Communications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In autonomous vehicle platooning, members of the platoon not only use their own sensor data for making driving decisions. They also rely on data shared by other members of the … |
Michael Plattner; E. Sonnleitner; Gerald Ostermayer; | IEEE Transactions on Intelligent Transportation Systems | 2024-10-01 |
| 775 | Modeling and Robust H∞ Control Synthesis of The CAV-HDV Heterogeneous Traffic System With Different Car-Following Modes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes a modified car-following model for the heterogeneous traffic flow with connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs), which considers … |
Yuan Gong; Wen-Xing Zhu; | IEEE Transactions on Intelligent Transportation Systems | 2024-10-01 |
| 776 | Highway Main Lane Vehicles Driving Behavior Prediction Based on Residual-Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Highways, as a type of high-grade road, are an essential component of intelligent connected vehicle testing and a crucial aspect in achieving fully autonomous driving technology. … |
LIN HU et. al. | IEEE Transactions on Vehicular Technology | 2024-10-01 |
| 777 | Spatio-Temporal Corridor-Based Motion Planning of Lane Change Maneuver for Autonomous Driving in Multi-Vehicle Traffic IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a methodology of lane change motion planning based on spatio-temporal corridor for autonomous driving in multi-vehicle traffic environments. The … |
Youngmin Yoon; Changhee Kim; Heeseong Lee; Dabin Seo; Kyongsu Yi; | IEEE Transactions on Intelligent Transportation Systems | 2024-10-01 |
| 778 | 3D Skeleton Aware Driver Behavior Recognition Framework for Autonomous Driving System IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Rongtian Huo; Junkang Chen; Ye Zhang; Qing Gao; | Neurocomputing | 2024-10-01 |
| 779 | Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To ensure the safety of Autonomous Vehicles (AVs), thorough testing across virtual simulation environments, closed facilities, and public roads is essential. Scenario-based … |
RUI ZHOU et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-10-01 |
| 780 | Multi-Step Continuous Decision Making and Planning in Uncertain Dynamic Scenarios Through Parallel Spatio-Temporal Trajectory Searching Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving in urban scenarios faces uncertain dynamic changes, especially in China, where a dense mixture of cars, cyclists and pedestrians travel together on roads with … |
Delun Li; Siyuan Cheng; Shaoyu Yang; Wenchao Huang; Wenjie Song; | IEEE Robotics and Automation Letters | 2024-10-01 |
| 781 | Deep-Reinforcement-Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Learning an efficient and safe driving strategy in a traffic-heavy intersection scenario and generalizing it to different intersections remains a challenging task for autonomous … |
Yuqi Liu; Qichao Zhang; Yinfeng Gao; Dongbin Zhao; | IEEE Transactions on Cognitive and Developmental Systems | 2024-10-01 |
| 782 | WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we address the challenge of fine-grained video event understanding in traffic scenarios, vital for autonomous driving and safety.To fill this gap, we introduce the WTS dataset, highlighting detailed behaviors of both vehicles and pedestrians across over 1.2k video events in over hundreds traffic scenarios. |
QUAN KONG et. al. | eccv | 2024-09-30 |
| 783 | Generative End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose GenAD, a generative framework that casts autonomous driving into a generative modeling problem. |
Wenzhao Zheng; Ruiqi Song; Xianda Guo; Chenming Zhang; Long Chen; | eccv | 2024-09-30 |
| 784 | Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We argue that existing training processes may not endow models with an understanding of how the physical world evolves. To address this gap, we propose RaSc, which stands for Risk-aware Self-consistent imitation learning. |
Yixuan Fan; Ya-Li Li; Shengjin Wang; | eccv | 2024-09-30 |
| 785 | VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This leads to their poor zero-shot prediction capability to handle real-world observations with occlusion or tricky viewing angles. To solve this problem, in this work, we propose VQA-Diff, a novel framework that leverages in-the-wild vehicle images to create photorealistic 3D vehicle assets for autonomous driving. |
YIBO LIU et. al. | eccv | 2024-09-30 |
| 786 | TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This hampers progress in driving behavior analysis and imitation. To address these limitations, we introduce a novel multimodal vehicle surveillance dataset, integrating aerial thermal infrared and sRGB imagery. |
Guoxing Zhang; Yiming Liu; xiaoyu yang; Chao Huang; HUANG Hailong; | eccv | 2024-09-30 |
| 787 | PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We present a new interaction mechanism of prediction and planning for end-to-end autonomous driving, called PPAD (Iterative Interaction of Prediction and Planning Autonomous Driving), which considers the timestep-wise interaction to better integrate prediction and planning. |
Zhili Chen; Maosheng Ye; Shuangjie Xu; Tongyi Cao; Qifeng Chen; | eccv | 2024-09-30 |
| 788 | Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Despite their potential, research in autonomous systems is hindered by the lack of datasets with annotated reasoning chains that explain the decision-making processes in driving. To bridge this gap, we present Reason2Drive, a benchmark dataset with over 600K video-text pairs, aimed at facilitating the study of interpretable reasoning in complex driving environments. |
MING NIE et. al. | eccv | 2024-09-30 |
| 789 | VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the key insight that to achieve high protection coverage with minimal cost, we must leverage the inherent variations in robustness across different layers of the autonomous machine software stack. |
ZISHEN WAN et. al. | arxiv-cs.RO | 2024-09-29 |
| 790 | A Survey Related to Current Technologies in Arctic Region for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving has sparked an entire revolution in the vehicle sector, offering to increase the safety for road users, productivity, and convenience. However, using autonomous … |
Aqsa Rahim; Fuqing Yuan; Javad Barbady; | Int. J. Syst. Assur. Eng. Manag. | 2024-09-28 |
| 791 | Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads Using Deep Convolutional Network Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: A method is proposed to predict multiple possible trajectories and their probabilities of the target vehicle. |
LEI LI et. al. | arxiv-cs.AI | 2024-09-26 |
| 792 | Good Data Is All Imitation Learning Needs Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we address the limitations of traditional teacher-student models, imitation learning, and behaviour cloning in the context of Autonomous/Automated Driving Systems (ADS), where these methods often struggle with incomplete coverage of real-world scenarios. |
Amir Samadi; Konstantinos Koufos; Kurt Debattista; Mehrdad Dianati; | arxiv-cs.CV | 2024-09-26 |
| 793 | Hi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Hi-Drive employs driver models torepresent uncertain behavioral intentions of other vehicles and uses theirparameters to infer hidden driving styles. |
Xuanjin Jin; Chendong Zeng; Shengfa Zhu; Chunxiao Liu; Panpan Cai; | arxiv-cs.RO | 2024-09-26 |
| 794 | Behavior Cloning for Mini Autonomous Car Path Following Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This article presents the implementation and evaluation of a behavior cloning approach for route following with autonomous cars. Behavior cloning is a machine-learning technique … |
P. MORAES et. al. | 2024 IEEE URUCON | 2024-09-25 |
| 795 | Perception-Based Accurate Autonomous Vehicle Following in GNSS-Denied Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In this paper, we propose a full-stack system for perception-based accurate autonomous vehicle following that does not rely on vehicle-to-vehicle communication, map data, or … |
Alexander Bienemann; Andreas Reich; Thorsten Luettel; Mirko Maehlisch; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 796 | Accident Scenario Generation Using Driver Behavior Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Situational awareness is essential for safe driving, yet human drivers are often limited by their perceptual and cognitive capacities, leading to significant road accidents. … |
Abdul Jawad; Jim Whitehead; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 797 | An Impact Evaluation of Strategic Cyberattacks on Autonomous Vehicles: Safety, Mobility, and Energy Consumption Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: While security has always been an important factor in the transportation industry, the increasing development and availability of autonomous driving technologies have brought a … |
Jose Acedo Aguilar; Fernando Sepulveda; Shian Wang; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 798 | Hybrid Energy-Efficient Local Path Planning for Autonomous Vehicles in Dynamic Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Efficient trajectory planning plays a crucial role in the development of autonomous vehicles, ensuring safe and optimized navigation in dynamic environments. This paper proposes a … |
Fadel Tarhini; R. Talj; M. Doumiati; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 799 | Exploring Synthetic Radar Data and Deep Learning for Road User Classification in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This work investigates enhancing road safety and efficiency in autonomous vehicles through radar sensors and deep neural networks with synthetic data. It focuses on machine … |
Diogo Wachtel; Sinan Tasabat; Thomas Rothmeier; Letícia Cristófoli Duarte; Werner Huber; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 800 | A Human-Machine Shared Control Strategy for Automation Disengagement Cases with Intention-Based Driving Authority Allocation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Automation disengagement cases are the situations where an intelligent vehicle encounters unresolvable cases. Current autonomous vehicles usually directly switch the vehicle … |
ZHAOQING WANG et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 801 | Decision Making for Autonomous Vehicles Based on Risk Assessment in A Dynamic Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Recent advancements in autonomous driving technologies have significantly enhanced road safety and collision avoidance. However, ensuring this in dynamic driving environments … |
Dany Ghraizi; R. Talj; Clovis Francis; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 802 | INTP-DM: Intention-Aware Multimodal Vehicle Trajectory Prediction Using Diffusion Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The ability to predict the future trajectories of surrounding vehicles is crucial for the safe and efficient operation of autonomous vehicles. However, most existing data-driven … |
Yuanbo Yang; Sheng Jin; Xiaoxiang Na; Panagiotis Angeloudis; Simon Hu; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 803 | A Simple and Efficient Speed Control Method for Autonomous Vehicles to Improve Traffic Performance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: It has been previously shown that human driving behavior is the culprit of traffic instability, causing stop-and-go waves even in the absence of traffic bottlenecks. It is … |
Jose Acedo Aguilar; Shian Wang; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 804 | A Spatial-Temporal Graph Neural Network-Based Human-Like Lane Changing Decision Model for The Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Lane changing decision (LCD) is an essential procedure for the operation of an autonomous vehicle (AV). The modeling of LCD is more complex and has more challenges compared with … |
SHANGLU HE et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 805 | A Customizable Neural Network Based Framework for Autonomous Vehicle Control with Human-Guided Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study introduces a novel control framework for adaptive cruise control (ACC) in autonomous vehicles (AVs), utilizing Long Short-Term Memory (LSTM) networks and … |
Tianyi Li; Shian Wang; Mingfeng Shang; Seongjin Choi; Raphael E. Stern; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 806 | Meta Reinforcement Learning for Autonomous Driving with Rapid Adaptation to Drivers* Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The development of autonomous driving is pro-pelling mobility into a new era of innovation. However, existing autonomous driving systems struggle to adapt to various drivers with … |
JIAMING XING et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 807 | Trajectory Prediction for Autonomous Driving Using Agent-Interaction Graph Embedding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Trajectory prediction module in an autonomous driving system is crucial for the decision-making and safety of the autonomous agent car and its surroundings. This work presents a … |
Jilan Samiuddin; Benoit Boulet; Di Wu; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 808 | Co-HTTP: Cooperative Trajectory Prediction with Heterogeneous Graph Transformer for Autonomous Driving* Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes a cooperative prediction framework named Co-HTTP which enables collaboration between vehicle-side prediction (Veh-Pred) and infrastructure-side prediction … |
XINYU ZHANG et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 809 | Legal Driving for Autonomous Vehicles Through Law-Compliance Potential Fields Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The widespread adoption of autonomous vehicles necessitates their compliance with existing traffic laws. However, while safety-oriented decision-making methods have matured, … |
LEI SONG et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 810 | A Personalized Interactive Autonomous Vehicle Decision-Making Method Considering Driving Style Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Decision-making is one of the critical modules of autonomous vehicles, and how to respond to other agents under interactive scenarios is still a challenge. Although current … |
YANBO JIANG et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 811 | A Self-organizing Cooperative Control Framework for Connected Automated Vehicles at Unsignalized Roundabouts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Due to the huge traffic flow and complex weaving, unsignalized roundabout is one of the most challenging scenarios for autonomous driving. Though cooperative autonomous driving … |
Xuekai Liu; Qian Chen; Peng Hang; Lu Xiong; Jian Sun; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 812 | Motion Planning Using Physics-Informed LSTMs for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Developing accurate models for the behavior of heavy-duty vehicles such as trucks and buses is crucial for ensuring their safe navigation. It is important that these models … |
Mahmoud Selim; Sriharsha Bhat; Karl H. Johansson; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 813 | Assessing Reliability of Virtual Testing for Deep Learning Models in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Testing of autonomous vehicles is a crucial step to ensure safety, but it can be costly and time-consuming. Virtual testing can be a solution to reduce these costs and time … |
Tianxiang Lan; Nick Schade; Jürgen Pannek; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 814 | Enhancing Automotive Simulations with Adjustable Asphalt Road Surface Materials Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accurately representing road surfaces is crucial for automotive simulation and virtual sensor data generation because it directly impacts vehicle dynamics, sensor performance, and … |
Patrick Schulz; Oliver Bringmann; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 815 | Active Interaction in Driving: An Intention-Aware Decision-Making for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles need to interact with surrounding vehicles in decision-making, and an important factor to consider is the uncertainty of intention. Situations could be even … |
Yixuan Zhang; Yuhua Zhu; Lu Xiong; Chen Tang; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 816 | Enhancing Safety in Autonomous Vehicles Through Advanced AI-Driven Perception and Decision-Making Systems IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accidents, congested roads, consumption of energy, and emissions may all decrease significantly with the rise of self-driving cars, providing a promising response to social and … |
Yazan Alahmed; Reema Abadla; Mohammed Jassim Al Ansari; | 2024 Fifth International Conference on Intelligent Data … | 2024-09-24 |
| 817 | Data-Driven Online Estimation of Driver Model Parameters for Vehicle Trajectory Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Fast and accurate trajectory prediction is crucial for the development and validation of automated driving systems. Using driver models for prediction is a promising approach to … |
Johannes Fischer; Christoph Stiller; | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 818 | Stability Enhanced Hierarchical Reinforcement Learning for Autonomous Driving with Parameterized Trajectory Action Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Reinforcement Learning (RL) has become a potential method for autonomous driving to adapt to complex driving environments with high flexibility. However, the popular RL paradigm … |
GUIZHE JIN et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 819 | Intention-based and Risk-Aware Trajectory Prediction for Autonomous Driving in Complex Traffic Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In complex traffic scenarios, there are two significant issues with the current autonomous driving system: the cognitive uncertainty of prediction and the lack of risk awareness, which limit the further development of autonomous driving. To address this challenge, we introduce a novel trajectory prediction model that incorporates insights and principles from driving behavior, ethical decision-making, and risk assessment. |
Wen Wei; Jiankun Wang; | arxiv-cs.RO | 2024-09-24 |
| 820 | A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents an innovative and highly accurate road obstacle detection model utilizing computer vision technology that can be activated in construction zones and functions under diverse drift conditions, ultimately contributing to build a safer road transportation system. |
Abu Shad Ahammed; Md Shahi Amran Hossain; Roman Obermaisser; | arxiv-cs.CV | 2024-09-24 |
| 821 | Interpretable Finite State Machine Controller: A Case Study on Lane Merge Yield Mode Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes a merge yield mode for Adaptive Cruise Control (ACC) that can switch with the traditional car-following mode to meet macroscopic requirements of safety and … |
XIA WANG et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-09-24 |
| 822 | Analyzing Privacy Implications of Data Collection in Android Automotive OS Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper focuses on the privacy implications of AAOS, examining the exact nature and scope of data collection and the corresponding privacy policies from the original equipment manufacturers (OEMs). |
Bulut Gözübüyük; Brian Tang; Kang G. Shin; Mert D. Pesé; | arxiv-cs.CR | 2024-09-23 |
| 823 | Towards Automated Test Scenario Generation for Assuring COLREGs Compliance of Autonomous Surface Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: International maritime traffic is controlled by collision-avoidance regulations (COLREGs) with 41 standardized rules describing how a vessel should navigate in the proximity of … |
Ulf Kargén; Dániel Varró; | Proceedings of the ACM/IEEE 27th International Conference … | 2024-09-22 |
| 824 | Socio-technical Automotive Security Design Patterns: Applying A Stakeholder-Based Approach to Securing Self-Driving Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Broadening the scope and the sophistication of onboard and outward facing communication is a key enabling technology for autonomous vehicles. With these communication advances … |
Nicholas Polanco; Betty H. C. Cheng; | Proceedings of the ACM/IEEE 27th International Conference … | 2024-09-22 |
| 825 | Interpretable Roadside 2D Object Detection Based on Axial Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Environmental perception plays a crucial role in the operation of autonomous vehicles. Recent studies have relied on single vehicle cameras for perception due to the lack of … |
Fan Wu; Shaojing Song; Jinyan Hu; | 2024 IEEE/ACIS 24th International Conference on Computer … | 2024-09-20 |
| 826 | Using High-Level Patterns to Estimate How Humans Predict A Robot Will Behave Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, recent research on human-human prediction suggests the opposite: humans tend to approximate other agents by predicting their high-level behaviors. We apply this finding to develop a second-order theory of mind approach that enables robots to estimate how humans predict they will behave. |
Sagar Parekh; Lauren Bramblett; Nicola Bezzo; Dylan P. Losey; | arxiv-cs.RO | 2024-09-20 |
| 827 | Modeling and Verification of Variable Multi-Lane Intersection Controls for Autonomous Vehicles Using Uppaal SMC Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the spread of autonomous vehicles, all vehicles may be centrally controlled in the near future and it will become important for the group controller to ensure that a fleet of … |
Akihito Hachiro; Masaki Nakamura; Kazutoshi Sakakibara; Takuya Matsumoto; Ryo Takano; | 2024 International Conference on Machine Learning and … | 2024-09-20 |
| 828 | Accurate Automatic 3D Annotation of Traffic Lights and Signs for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This paper introduces a novel method for automatically generating accurate and temporally consistent 3D bounding box annotations for traffic lights and signs, effective up to a range of 200 meters. |
Sándor Kunsági-Máté; Levente Pető; Lehel Seres; Tamás Matuszka; | arxiv-cs.CV | 2024-09-19 |
| 829 | Enhancing Autonomous Vehicle Navigation with Real-Time Object Detection Using Convolutional Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles’ (AVs) capacity to identify and categorise things in real-time is crucial to their development for the sake of efficient and safe navigation. Because of its … |
ARNAV KOTIYAL et. al. | 2024 7th International Conference on Contemporary Computing … | 2024-09-18 |
| 830 | From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces Words2Wheels, a framework that automatically generates customized driving policies based on natural language user commands. |
XU HAN et. al. | arxiv-cs.RO | 2024-09-18 |
| 831 | Optical Flow Matters: An Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicle navigation is a key challenge in artificial intelligence, requiring robust and accurate decision-making processes. This research introduces a new end-to-end … |
FOUAD MAKIYEH et. al. | ArXiv | 2024-09-18 |
| 832 | DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, these models often sacrifice interpretability, posing significant challenges to trust, safety, and regulatory compliance. To address these issues, we introduce DRIVE — Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving, a comprehensive framework designed to improve the dependability and stability of explanations in end-to-end unsupervised autonomous driving models. |
SONGNING LAI et. al. | arxiv-cs.RO | 2024-09-16 |
| 833 | Smart Mobility: Leveraging Perception Sensors for Map-Based Navigation in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In smart mobility, autonomous vehicles must navigate complex environments with high precision. This paper investigates using various perception sensors, specifically LiDAR and … |
Paulo Ricardo Marques de Araujo; Eslam Mounier; E. Dawson; A. Noureldin; | 2024 IEEE International Conference on Smart Mobility (SM) | 2024-09-16 |
| 834 | A Comprehensive Survey of PID and Pure Pursuit Control Algorithms for Autonomous Vehicle Navigation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: These algorithms have proved useful in solving the issues of lateral (steering) and longitudinal (speed and distance) control in autonomous vehicles. This survey aims to provide researchers, engineers, and industry professionals with an in depth understanding of these fundamental control algorithms, their current applications, and their potential to shape the future of autonomous driving technology. |
Harshit Jain; Priyal Babel; | arxiv-cs.RO | 2024-09-15 |
| 835 | Behavioral Cloning Models Reality Check for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While numerous vision-based autonomous vehicle systems have been trained and evaluated in simulated environments, there is a notable lack of real-world validation for these systems. This paper addresses this gap by presenting the real-world validation of state-of-the-art perception systems that utilize Behavior Cloning (BC) for lateral control, processing raw image data to predict steering commands. |
Mustafa Yildirim; Barkin Dagda; Vinal Asodia; Saber Fallah; | arxiv-cs.RO | 2024-09-11 |
| 836 | ‘Talking with Your Car’: Design of Human-Centered Conversational AI in Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The Development of Fully Autonomous Vehicles (AVs) would fundamentally change the nature of in-vehicle user interactions, behaviors, needs, and activities. Passengers free from … |
Akshay Rege; Rebecca M. Currano; David Sirkin; Euiyoung Kim; | Proceedings of the 16th International Conference on … | 2024-09-11 |
| 837 | MAPS: Energy-Reliability Tradeoff Management in Autonomous Vehicles Through LLMs Penetrated Science Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposed MAPS using LLMs as map reader co-drivers to predict the vital parameters to set during the autonomous vehicle operation to balance the energy-reliability tradeoff. |
Mahdieh Aliazam; Ali Javadi; Amir Mahdi Hosseini Monazzah; Ahmad Akbari Azirani; | arxiv-cs.AR | 2024-09-10 |
| 838 | Open-Source Level 4 Autonomous Shuttle for Last – Mile Mobility Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The paper introduces an Autoware autonomous driving software stack powered open-source AV shuttle devel-opment summary and an overview of experiments conducted on it within recent … |
RAIVO SELL et. al. | 2024 IEEE 29th International Conference on Emerging … | 2024-09-10 |
| 839 | Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While reinforcement learning (RL) has been used to solve complex decision-making problems, existing RL methods still have limitations in dealing with cooperative decision-making of multiple connected autonomous vehicles (CAVs), ensuring safety during exploration, and simulating realistic human driver behaviors. In this paper, a novel and efficient algorithm, Multi-Agent Game-prior Attention Deep Deterministic Policy Gradient (MA-GA-DDPG), is proposed to address these limitations. |
Jiaqi Liu; Peng Hang; Xiaoxiang Na; Chao Huang; Jian Sun; | arxiv-cs.RO | 2024-09-09 |
| 840 | What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Explanations for autonomous vehicle (AV) decisions may build trust, however, explanations can contain errors. In a simulated driving study (n = 232), we tested how AV explanation … |
Robert Kaufman; Aaron Broukhim; David Kirsh; Nadir Weibel; | arxiv-cs.HC | 2024-09-09 |
| 841 | Distributed Learning in Intelligent Transportation Systems: A Survey IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The development of artificial intelligence (AI) and self-driving technology is expected to enhance intelligent transportation systems (ITSs) by improving road safety and mobility, … |
Qiong Li; Wanlei Zhou; James Xi Zheng; | Inf. | 2024-09-08 |
| 842 | Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced By Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To address the issue, we present GNMap as an end-to-end generative neural network to automatically construct HD maps with multiple vectorized tiles which are locally produced by autonomous vehicles through several tours. |
Miao Fan; Yi Yao; Jianping Zhang; Xiangbo Song; Daihui Wu; | arxiv-cs.RO | 2024-09-05 |
| 843 | ERSS-RAMP: A Rule-Adherence Motion Planner Based on Extended Responsibility-Sensitive Safety for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Besides, the integration of the RSS framework with motion planning is rarely discussed in current studies. Therefore, we proposed a rule-adherence motion planner (RAMP) based on the extended RSS (eRSS) regulation for non-connected and connected AVs in merging and emergency-avoiding scenarios. |
PENGFEI LIN et. al. | arxiv-cs.RO | 2024-09-04 |
| 844 | Want A Ride? Attitudes Towards Autonomous Driving and Behavior in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Research conducted previously has focused on either attitudes toward or behaviors associated with autonomous driving. In this paper, we bridge these two dimensions by exploring how attitudes towards autonomous driving influence behavior in an autonomous car. |
Enrico Del Re; Leonie Sauer; Marco Polli; Cristina Olaverri-Monreal; | arxiv-cs.RO | 2024-09-04 |
| 845 | CONClave — Secure and Robust Cooperative Perception for CAVs Using Authenticated Consensus and Trust Scoring Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose CONClave, a tightly coupled authentication, consensus, and trust scoring mechanism that provides comprehensive security and reliability for cooperative perception in autonomous vehicles. |
Edward Andert; Francis Mendoza; Hans Walter Behrens; Aviral Shrivastava; | arxiv-cs.RO | 2024-09-04 |
| 846 | Integrating End-to-End and Modular Driving Approaches for Online Corner Case Detection in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To leverage the advantages of both, we propose a method for online corner case detection that integrates an end-to-end approach into a modular system. |
Gemb Kaljavesi; Xiyan Su; Frank Diermeyer; | arxiv-cs.AI | 2024-09-02 |
| 847 | Development of Machine Intelligence for Self-Driving Vehicles Through Video Capturing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The automation of vehicles is progressing through several automation levels, with the goal of reaching full autonomy, i.e. level 5, which involves no steering wheel, brakes, … |
Jordon Lowe; Kaya Kuru; | 2024 20th IEEE/ASME International Conference on Mechatronic … | 2024-09-02 |
| 848 | Situation-aware Autonomous Driving Decision Making with Cooperative Perception on Demand Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper investigates the impact of cooperative perception on autonomous driving decision making on urban roads. |
Wei Liu; | arxiv-cs.RO | 2024-09-02 |
| 849 | A Research Testbed for Intelligent and Cooperative Driving in Mixed Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles are gradually entering the transportation system. The traffic will become more heterogeneous since both autonomous and human-driven vehicles will share the … |
Jiaxing Lu; Sanzida Hossain; Wakun Lam; Weihua Sheng; He Bai; | IEEE Transactions on Intelligent Transportation Systems | 2024-09-01 |
| 850 | A Roadside Unit for Infrastructure Assisted Intersection Control of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We propose a cost-effective solution to intelligent and connected intersection control to serve as a proof-of-concept model suitable as the basis for continued research and development. |
MICHAEL EVANS et. al. | arxiv-cs.RO | 2024-09-01 |
| 851 | Collision Probability Field Based Interaction-Aware Longitudinal Motion Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the realm of autonomous driving, motion planning for the ego vehicle necessitates the prediction of surrounding vehicles’ motions. This prediction traditionally relies on … |
Yuseung Na; Minchul Lee; Jeonghun Kang; M. Sunwoo; K. Jo; | IEEE Transactions on Intelligent Transportation Systems | 2024-09-01 |
| 852 | Attention-Based Distributional Reinforcement Learning for Safe and Efficient Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving vehicles play a critical role in intelligent transportation systems and have garnered considerable attention. Currently, the popular approach in autonomous … |
Jia Liu; Jianwen Yin; Zhengmin Jiang; Qingyi Liang; Huiyun Li; | IEEE Robotics and Automation Letters | 2024-09-01 |
| 853 | Safe Efficient Policy Optimization Algorithm for Unsignalized Intersection Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Unsignalized intersections pose a challenge for autonomous vehicles that must decide how to navigate them safely and efficiently. This paper proposes a reinforcement learning (RL) … |
XIAOLONG CHEN et. al. | IEEE/CAA Journal of Automatica Sinica | 2024-09-01 |
| 854 | Timeliness in Autonomous Driving: Hype or Reality? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving (AD) has witnessed rapid advancements in recent years, with numerous high-performance algorithms emerging for various subtasks. However, the underlying vehicle … |
Tianze Wu; Weisong Shi; Qun Li; | IEEE Internet Computing | 2024-09-01 |
| 855 | Extended Dissipative Output-Feedback Controller for Autonomous Vehicle Path-Following With Steering Delays Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Designing robust controllers that follow a desired trajectory against unexpected internal/external disturbances presents a major challenge in the field of autonomous driving … |
Y. Lee; D. Pae; H. Choi; M. Lim; | IEEE Transactions on Intelligent Transportation Systems | 2024-09-01 |
| 856 | Analyzing Riders’ Behavioral Adaptation to Driving Patterns of Advanced Autonomous Vehicles: A Virtual Reality Simulation Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The necessity of human supervision and intervention during autonomous driving has long been a topic of controversial discussion. From a developer’s perspective, it is expected … |
Zheng Xu; Tanghan Jiang; Dong Xiao; Yihai Fang; Nan Zheng; | International Journal of Human–Computer Interaction | 2024-08-30 |
| 857 | Transient Fault Tolerant Semantic Segmentation for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We address the latter by examining fault-tolerance in semantic segmentation models. |
LEONARDO IURADA et. al. | arxiv-cs.CV | 2024-08-29 |
| 858 | CooTest: An Automated Testing Approach for V2X Communication Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this paper, we design and implement CooTest, the first automated testing tool of the V2X-oriented cooperative perception module. |
AN GUO et. al. | arxiv-cs.SE | 2024-08-29 |
| 859 | Passenger Hazard Perception Based on EEG Signals for Highly Automated Driving Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study explores neural mechanisms in passenger-vehicle interactions, leading to the development of a Passenger Cognitive Model (PCM) and the Passenger EEG Decoding Strategy (PEDS). |
ASHTON YU XUAN TAN et. al. | arxiv-cs.HC | 2024-08-29 |
| 860 | Deep Reinforcement Learning Platooning Control of Non-Cooperative Autonomous Vehicles in A Mixed Traffic Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Ensuring secure spacing between vehicles is vital for road safety, efficient traffic flow, and system stability in autonomous driving. While traditional cooperative platooning … |
Danilo Menegatti; Andrea Wrona; Antonio Di Paola; Simone Gentile; Alessandro Giuseppi; | 2024 IEEE 20th International Conference on Automation … | 2024-08-28 |
| 861 | Advanced Autonomous Vehicle Acceptance Model (AAVAM) for Promoting Accessible Travel Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The rise of autonomous driving technology offers new opportunities for accessible travel for the elderly population. However, to ensure that this technology meets the specific … |
LILING CHEN et. al. | 2024 29th International Conference on Automation and … | 2024-08-28 |
| 862 | Integrating Occupancy Grid with Semantic Road Information for Autonomous Navigation in Urban Scenarios: A Benchmark Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the last decades, autonomous vehicles (AVs) have attracted the interest of industries and researchers to develop and improve the performance of advanced driver assistance … |
SIMONE FELICIONI et. al. | 2024 IEEE 20th International Conference on Automation … | 2024-08-28 |
| 863 | Global Trajectory Optimization for Autonomous Driving Using Nonlinear Programming with Topology Classes* Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Obstacle avoidance is an essential characteristic of autonomous driving cars. This paper presents a new method for efficiently determining possible routes that a vehicle can … |
Maryam Nezami; Ngoc Thinh Nguyen; Georg Schildbach; | 2024 IEEE 20th International Conference on Automation … | 2024-08-28 |
| 864 | Multi-Agent Vulnerability Discovery for Autonomous Driving Policy By Finding AV-Responsible Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Discovering hazardous driving scenarios is crucial for further improvement of autonomous driving policies. However, conducting efficient discovery of hazardous scenarios faces two … |
YE MU et. al. | 2024 IEEE 20th International Conference on Automation … | 2024-08-28 |
| 865 | Fast and Modular Autonomy Software for Autonomous Racing Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we present our modular and fast approach to agent detection, motion planning and controls to create an autonomy stack. |
ANDREW SABA et. al. | arxiv-cs.RO | 2024-08-27 |
| 866 | N-DriverMotion: Driver Motion Learning and Prediction Using An Event-based Camera and Directly Trained Spiking Neural Networks on Loihi 2 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a novel system for learning and predicting driver motions and an event-based high-resolution (1280×720) dataset, N-DriverMotion, newly collected to train on a neuromorphic vision system. |
Hyo Jong Chung; Byungkon Kang; Yoonseok Yang; | arxiv-cs.CV | 2024-08-23 |
| 867 | Data Privacy and Security in Autonomous Connected Vehicles in Smart City Environment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: A self-driving vehicle can navigate autonomously in smart cities without the need for human intervention. The emergence of Autonomous Connected Vehicles (ACVs) poses a substantial … |
Tanweer Alam; | Big Data Cogn. Comput. | 2024-08-23 |
| 868 | A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles with a self-evolving ability are expected to cope with unknown scenarios in the real-world environment. Take advantage of trial and error mechanism, … |
Shuo Yang; Liwen Wang; Yanjun Huang; Hong Chen; | arxiv-cs.RO | 2024-08-22 |
| 869 | A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from A Basic Model Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a safety-oriented self-learning algorithm for autonomous driving, which focuses on how to achieve evolution from a basic model. |
Shuo Yang; Caojun Wang; Zhenyu Ma; Yanjun Huang; Hong Chen; | arxiv-cs.RO | 2024-08-22 |
| 870 | Courteous MPC for Autonomous Driving with CBF-inspired Risk Assessment Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To promote both safety and courtesy in AV’s behavior, an extension of Control Barrier Functions (CBFs)-inspired risk evaluation framework is proposed in this paper by considering both noisy observed positions and velocities of surrounding vehicles. |
YANZE ZHANG et. al. | arxiv-cs.RO | 2024-08-22 |
| 871 | A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This problem is especially prominent in dynamic traffic scenarios. Therefore, this paper proposes a safe self-evolution algorithm for autonomous driving based on data-driven risk quantification model. |
Shuo Yang; Shizhen Li; Yanjun Huang; Hong Chen; | arxiv-cs.AI | 2024-08-22 |
| 872 | ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To this end, we put forward a general and plug-and-play instantaneous trajectory prediction approach, called ITPNet. Specifically, we propose a backward forecasting mechanism to reversely predict the latent feature representations of unobserved historical trajectories of the agent based on its two observed locations and then leverage them as complementary information for future trajectory prediction. |
RONGQING LI et. al. | kdd | 2024-08-21 |
| 873 | Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Hence, this paper presents a real-world driver activity dataset, openly accessible on IEEE Dataport, which encompasses various activities that occur in autonomous driving scenarios under various illumination and weather conditions. |
Mohamed Sabry; Walter Morales-Alvarez; Cristina Olaverri-Monreal; | arxiv-cs.RO | 2024-08-19 |
| 874 | Understanding Cyclists’ Perception of Driverless Vehicles Through Eye-tracking and Interviews Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: As automated vehicles (AVs) become increasingly popular, the question arises as to how cyclists will interact with such vehicles. This study investigated (1) whether cyclists spontaneously notice if a vehicle is driverless, (2) how well they perform a driver-detection task when explicitly instructed, and (3) how they carry out these tasks. |
SIRI HEGNA BERGE et. al. | arxiv-cs.RO | 2024-08-19 |
| 875 | CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: A major research bottleneck isthe lack of large-scale annotated datasets encompassing vision, language, andaction. To address this issue, we propose CoVLA (ComprehensiveVision-Language-Action) Dataset, an extensive dataset comprising real-worlddriving videos spanning more than 80 hours. |
HIDEHISA ARAI et. al. | arxiv-cs.CV | 2024-08-19 |
| 876 | Integrating Naturalistic Insights in Objective Multi-Vehicle Safety Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a framework designed for assessing traffic safety in multi-vehicle situations, facilitating the simultaneous utilization of diverse objective safety metrics. |
Enrico Del Re; Amirhesam Aghanouri; Cristina Olaverri-Monreal; | arxiv-cs.RO | 2024-08-19 |
| 877 | Integrated Control of Yaw and Roll Stability for Autonomous Vehicles Using Interval Type-2 Fuzzy Logic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: An integrated control framework for the yaw and roll stability of autonomous vehicles based on interval type-2 fuzzy logic (IT2 FL) is presented in this research. Firstly, to … |
Yigao Ning; Xuan Zhao; Jianyi Ning; Rui Liu; Yanru Wang; | 2024 IEEE 22nd International Conference on Industrial … | 2024-08-18 |
| 878 | Domain Adaptation for Semantic Segmentation of Autonomous Driving with Contrastive Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Semantic segmentation is a critical component of autonomous driving perception systems and has gained increasing attention in recent advancements. Autonomous vehicles frequently … |
QIUYUE LI et. al. | 2024 IEEE 22nd International Conference on Industrial … | 2024-08-18 |
| 879 | Anomaly Detection and Fault Diagnosis Method for Autonomous Transport Vehicles on Unstructured Roads Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles in mining areas undertake substantial production tasks and are prone to various faults during operation. Early detection of abnormalities, along with timely … |
YIFANG ZHANG et. al. | 2024 IEEE 22nd International Conference on Industrial … | 2024-08-18 |
| 880 | Cooperative Adaptive Cruise Control Considering The Characteristics of Human-Driven Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Human-driven vehicles (HDVs) and autonomous vehicles will coexist for a long time. The time-varying charac-teristics of human-driven vehicles need to be considered when designing … |
DONGMING HAN et. al. | 2024 IEEE 22nd International Conference on Industrial … | 2024-08-18 |
| 881 | Prediction of Driving Departure of Mining Autonomous Transport Vehicles Based on GRU Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Open-pit mining areas have special geological structures, complex road networks, multi-rotation sections and poor road conditions, which bring many challenges to the operation of … |
LECONG LI et. al. | 2024 IEEE 22nd International Conference on Industrial … | 2024-08-18 |
| 882 | V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Specifically, we propose a contrastive learning-based mechanismto reinforce the alignment of heterogeneous visual and textual characteristics,which enhances the semantic understanding of complex driving scenarios, andemploy a knowledge distillation strategy to stabilize training. |
JUNWEI YOU et. al. | arxiv-cs.RO | 2024-08-17 |
| 883 | A Transparency Paradox? Investigating The Impact of Explanation Specificity and Autonomous Vehicle Perceptual Inaccuracies on Passengers Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we examined the effects of transparency mediated through varying levels of explanation specificity in AD. |
Daniel Omeiza; Raunak Bhattacharyya; Marina Jirotka; Nick Hawes; Lars Kunze; | arxiv-cs.HC | 2024-08-16 |
| 884 | Keep Calm and Relax — HMI for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The growing popularity of self-driving, so-called autonomous vehicles has increased the need for human-machine interfaces~(HMI) and user interaction~(UI) to enhance passenger … |
Tima M. Yekta; Julius Schöning; | arxiv-cs.AI | 2024-08-16 |
| 885 | Competing with Autonomous Model Vehicles: A Software Stack for Driving in Smart City Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This article introduces an open-source software stack designed for autonomous 1:10 scale model vehicles. Initially developed for the Bosch Future Mobility Challenge (BFMC) student … |
JULIUS BÄCHLE et. al. | Auton. Intell. Syst. | 2024-08-14 |
| 886 | IIT Bombay Racing Driverless: Autonomous Driving Stack for Formula Student AI Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work presents the design and development of IIT Bombay Racing’s Formula Student style autonomous racecar algorithm capable of running at the racing events of Formula Student-AI, held in the UK. |
YASH RAMPURIA et. al. | arxiv-cs.RO | 2024-08-12 |
| 887 | A Testing and Evaluation Method for The Car-Following Models of Automated Vehicles Based on Driving Simulator Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The continuous advancement of connected and automated driving technologies has garnered considerable public attention regarding the safety and reliability of automated vehicles … |
Yuhan Zhang; Yichang Shao; Xiaomeng Shi; Zhirui Ye; | Syst. | 2024-08-12 |
| 888 | ICSFuzz: Collision Detector Bug Discovery in Autonomous Driving Simulators Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To this end, we present ICSFuzz, a black-box fuzzing approach to discover ignored collision scenarios efficiently. |
WEIWEI FU et. al. | arxiv-cs.CR | 2024-08-11 |
| 889 | Research on V2V-based Cooperative Collision Avoidance System for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In this paper, we design an autonomous driving collision avoidance system based on V2V networked communication collaboration. The system uses Node-RED to deploy MQTT server at the … |
Yongjie Zhang; | Proceedings of the 2024 4th International Conference on … | 2024-08-09 |
| 890 | Field Testing and Detection of Camera Interference for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study explores the detection of camera interference attacks (CIA) within an automotive ethernet-driven environment using a novel GRU-based IDS. |
Ki Beom Park; Huy Kang Kim; | arxiv-cs.CR | 2024-08-08 |
| 891 | Design and Implementation of Smart Infrastructures and Connected Vehicles in A MiniCity Platform Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a 1/10th scale MiniCity platform used as a testing bed for evaluating autonomous and connected vehicles. Using the MiniCity platform, we can evaluate different … |
DANIEL VARGAS et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-08-08 |
| 892 | Improving The Intelligent Driver Model By Incorporating Vehicle Dynamics: Microscopic Calibration and Macroscopic Validation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Thus, we introduce a framework to calibrate CFMs using drone data captured at a signalized intersection in Stuttgart, Germany. |
Dominik Salles; Steve Oswald; Hans-Christian Reuss; | arxiv-cs.RO | 2024-08-07 |
| 893 | Design and Implementation of Smart Infrastructures and Connected Vehicles in A Mini-city Platform Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a 1/10th scale mini-city platform used as a testing bed for evaluating autonomous and connected vehicles. |
DANIEL VARGAS et. al. | arxiv-cs.RO | 2024-08-07 |
| 894 | Adversarial Safety-Critical Scenario Generation Using Naturalistic Human Driving Priors IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Obtaining these scenarios is non-trivial, thanks to the long-tailed distribution, sparsity, and rarity in real-world data sets. To tackle this problem, in this paper, we introduce a natural adversarial scenario generation solution using naturalistic human driving priors and reinforcement learning techniques. |
KUNKUN HAO et. al. | arxiv-cs.RO | 2024-08-06 |
| 895 | Hierarchical Deep Reinforcement Learning with Cross-attention and Planning for Autonomous Roundabout Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicle control is an important subfield of autonomous vehicle research. Many challenges remain to improve the safety and performance of autonomous vehicle control … |
Bennet Montgomery; Christian Muise; S. Givigi; | 2024 IEEE Canadian Conference on Electrical and Computer … | 2024-08-06 |
| 896 | Research on Autonomous Driving Decision-making Strategies Based Deep Reinforcement Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, an advanced deep reinforcement learning model is adopted, which can autonomously learn and optimize driving strategies in a complex and changeable traffic environment by modeling the driving decision-making process as a reinforcement learning problem. |
Zixiang Wang; Hao Yan; Changsong Wei; Junyu Wang; Minheng Xiao; | arxiv-cs.LG | 2024-08-06 |
| 897 | Communication-Aware Consistent Edge Selection for Mobile Users and Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: A joint allocation method of communication and computation of APs is proposed to minimize computational load, service latency, and interruptions with the overarching goal of maximizing QoS. |
Nazish Tahir; Ramviyas Parasuraman; Haijian Sun; | arxiv-cs.NI | 2024-08-06 |
| 898 | N-Agent Ad Hoc Teamwork IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In fully cooperative multi-agent reinforcement learning, the learning algorithm controls all agents in the scenario, while in ad hoc teamwork, the learning algorithm usually assumes control over only a single agent in the scenario. |
Caroline Wang; | ijcai | 2024-08-03 |
| 899 | STDA: Spatio-Temporal Dual-Encoder Network Incorporating Driver Attention to Predict Driver Behaviors Under Safety-Critical Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, a spatio-temporal dual-encoder network named STDA for safety-critical scenarios was developed. |
DONGYANG XU et. al. | arxiv-cs.CV | 2024-08-03 |
| 900 | Leveraging GNSS and Onboard Visual Data from Consumer Vehicles for Robust Road Network Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Despite recent advances, creating a road graph remains labor-intensive and has yet to achieve full automation. The goal of this paper is to generate such graphs automatically and accurately. |
Balázs Opra; Betty Le Dem; Jeffrey M. Walls; Dimitar Lukarski; Cyrill Stachniss; | arxiv-cs.CV | 2024-08-02 |
| 901 | Deep Reinforcement Learning for Autonomous Driving with Multi-Scenario Fusion: A Unified Reward Function Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving is a hot yet challenging issue due to its variability and the ongoing fast development related to tasks like vehicle control and scene recognition. Nonetheless, … |
Dongkun Han; Sen Shen; | Proceedings of the 2024 7th International Conference on … | 2024-08-02 |
| 902 | Game-Theoretic Decision-Making Method and Motion Planning for Autonomous Vehicles in Overtaking IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Overtaking is a common driving behaviour used by human drivers while driving. Therefore, the decision on overtaking is very important in the automatic driving decision. To be able … |
Lei Cai; Hsin Guan; Qi Hong Xu; Xin Jia; Jun Zhan; | IEEE Transactions on Intelligent Transportation Systems | 2024-08-01 |
| 903 | Modelling The Queues of Connected and Autonomous Vehicles at Signal-free Intersections Considering The Correlated Vehicle Arrivals Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Qiaoli Yang; Jiaqi Zhang; | J. Comput. Sci. | 2024-08-01 |
| 904 | Longitudinal Control of Automated Vehicles: A Novel Approach By Integrating Deep Reinforcement Learning With Intelligent Driver Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Deep reinforcement learning (DRL) provides a promising approach for the implementation of autonomous driving. By utilizing a trained DRL model as the longitudinal controller, the … |
LINHAN BAI et. al. | IEEE Transactions on Vehicular Technology | 2024-08-01 |
| 905 | Leveraging Driver Attention for An End-to-End Explainable Decision-Making From Frontal Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Explaining the decision made by end-to-end autonomous driving is a difficult task. These approaches take raw sensor data and compute the decision as a black box with large deep … |
Javier Araluce; L. Bergasa; Manuel Ocaña; Á. Llamazares; Elena López-Guillén; | IEEE Transactions on Intelligent Transportation Systems | 2024-08-01 |
| 906 | Review of Accident Detection Methods Using Dashcam Videos for Autonomous Driving Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The need for a reliable system to detect high-risk incidents in complex settings like roadways, which are infrequent but potentially dangerous, has arisen due to the occurrence of … |
Arash Rocky; Qingming Jonathan Wu; Wandong Zhang; | IEEE Transactions on Intelligent Transportation Systems | 2024-08-01 |
| 907 | Adversarial Attack Detection for Deep Learning Driving Maneuver Classifiers in Connected Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Connected and autonomous vehicles (CAVs) will be equipped with onboard deep neural network (DNN) models for processing the data from different sensors and communication units in … |
Tanmoy Sen; Haiying Shen; | 2024 33rd International Conference on Computer … | 2024-07-29 |
| 908 | Digital Twin Based Internet of Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The Internet of Vehicles (IoV), as one subset of the Internet of Things (IoT) in the smart transportation area, integrates vehicle networks with sensors and actuators. By … |
CHENG QIAN et. al. | 2024 33rd International Conference on Computer … | 2024-07-29 |
| 909 | A Mixed Traffic Flow Capacity Vehicle Flow Control Strategy Combining Vehicle Networking Technology and Autonomous Driving Technology Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Jianyi Wu; | Int. J. Intell. Transp. Syst. Res. | 2024-07-27 |
| 910 | Personalized and Context-aware Route Planning for Edge-assisted Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we propose a novel approach based on graph neural networks (GNNs) and deep reinforcement learning (DRL), aimed at customizing routes to suit individual preferences. |
Dinesh Cyril Selvaraj; Falko Dressler; Carla Fabiana Chiasserini; | arxiv-cs.AI | 2024-07-25 |
| 911 | Testing Large Language Models on Driving Theory Knowledge and Skills for Connected Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we investigate a new approach of applying remote or edge LLMs to support autonomous driving. |
Zuoyin Tang; Jianhua He; Dashuai Pei; Kezhong Liu; Tao Gao; | arxiv-cs.AI | 2024-07-24 |
| 912 | DreamCar: Leveraging Car-specific Prior for In-the-wild 3D Car Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: These restrictions make it challenging for previous methods to reconstruct complete 3D cars. To address these problems, we propose a novel method, named DreamCar, which can reconstruct high-quality 3D cars given a few images even a single image. |
Xiaobiao Du; Haiyang Sun; Ming Lu; Tianqing Zhu; Xin Yu; | arxiv-cs.CV | 2024-07-24 |
| 913 | SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose SECRM-2D (the Safe, Efficient and Comfortable RL- based driving Model with Lane-Changing), an RL autonomous driving controller (both longitudinal and lateral) that balances optimization of efficiency and comfort and follows a fixed route, while being subject to hard analytic safety constraints. |
Tianyu Shi; Ilia Smirnov; Omar ElSamadisy; Baher Abdulhai; | arxiv-cs.RO | 2024-07-23 |
| 914 | Scenario‐Driven Metamorphic Testing for Autonomous Driving Simulators Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The proliferation of driver‐assistance features in vehicles has resulted in a growing interest among the public in fully autonomous driving systems (ADSs). However, the … |
YIFAN ZHANG et. al. | Software Testing | 2024-07-23 |
| 915 | BB-Align: A Lightweight Pose Recovery Framework for Vehicle-to-Vehicle Cooperative Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle-to-Vehicle (V2V) cooperative perception has become increasingly popular in the field of autonomous driving, effectively overcoming the inherent limitations of … |
LIXING SONG et. al. | 2024 IEEE 44th International Conference on Distributed … | 2024-07-23 |
| 916 | EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To alleviate energy shortages and environmental impacts caused by transportation, this study introduces EcoFollower, a novel eco-car-following model developed using reinforcement … |
Hui Zhong; Xianda Chen; PakHin Tiu; Hongliang Lu; Meixin Zhu; | 2024 IEEE 27th International Conference on Intelligent … | 2024-07-22 |
| 917 | WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we address the challenge of fine-grained video event understanding in traffic scenarios, vital for autonomous driving and safety. |
QUAN KONG et. al. | arxiv-cs.CV | 2024-07-21 |
| 918 | $μ$Drive: User-Controlled Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Existing ADSs, however, lack mechanisms to systematically capture and integrate rider preferences into their planning modules. To bridge this gap, we propose $\mu$Drive, an event-based Domain-Specific Language (DSL) designed for specifying autonomous vehicle behaviour. |
KUN WANG et. al. | arxiv-cs.SE | 2024-07-18 |
| 919 | ΜDrive: User-Controlled Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous Vehicles (AVs) rely on sophisticated Autonomous Driving Systems (ADSs) to provide passengers a satisfying and safe journey. The individual preferences of riders plays a … |
KUN WANG et. al. | ArXiv | 2024-07-18 |
| 920 | Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The continual evolution of autonomous driving technology requires car-following models that can adapt to diverse and dynamic traffic environments. Traditional learning-based … |
XIANDA CHEN et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-07-17 |
| 921 | Utilizing Genetic Algorithms for Generating Critical Scenarios for Testing Autonomous Driving Functions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Finding critical scenarios is essential in testing autonomous driving and automated driving functions. Such scenarios describe a sequence of interactions between the autonomous … |
Florian Klück; Daniel Sumann; Franz Wotawa; | 2024 IEEE International Conference on Artificial … | 2024-07-15 |
| 922 | Framework for Time-varying DoA Estimation and Beamforming Against Radio Jamming in V2X Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Smart mobility is a crucial aspect of smart cities, and its performance can be further improved by exploiting Vehicle-to-Everything (V2X) communication available on Advanced … |
DANIEL VALLE DE LIMA et. al. | 2024 24th International Conference on Transparent Optical … | 2024-07-14 |
| 923 | Misconfiguration Software Testing for Failure Emergence in Autonomous Driving Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The optimization of a system’s configuration options is crucial for determining its performance and functionality, particularly in the case of autonomous driving software (ADS) … |
Yuntianyi Chen; Yuqi Huai; Shilong Li; Changnam Hong; Joshua Garcia; | Proc. ACM Softw. Eng. | 2024-07-12 |
| 924 | TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience & Rare-event Simulation for Enhanced Safety Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work addresses much-needed research by having participants drive a VR vehicle simulator going through simulated traffic with various types of accidental scenarios. |
SANDEEP THALAPANANE et. al. | arxiv-cs.RO | 2024-07-12 |
| 925 | Security Challenges in Autonomous Vehicles: A Case Study of Camera and LiDAR Sensors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Advanced communication and sensing technologies have become a focus for the development of transportation systems. The use of integrated sensors in automated driving vehicles is … |
Maryem Ghliss; Lilia Kechiche; Karim Chabir; | 2024 IEEE 7th International Conference on Advanced … | 2024-07-11 |
| 926 | Accurate Cooperative Localization Utilizing LiDAR-equipped Roadside Infrastructure for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, these high-precision techniques often face reliability challenges in environments devoid of identifiable map features. To address this limitation, we propose a novel approach that utilizes road side units (RSU) with vehicle-to-infrastructure (V2I) communications to assist vehicle self-localization. |
Yuze Jiang; Ehsan Javanmardi; Manabu Tsukada; Hiroshi Esaki; | arxiv-cs.RO | 2024-07-11 |
| 927 | A Safe and Computationally Efficient Tracking Control Algorithm for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper investigates the use of control barrier functions in conjunction with a recently developed output-tracking technique, with the aim of guaranteeing safe and smooth … |
Gennaro Notomista; Y. Wardi; | 2024 American Control Conference (ACC) | 2024-07-10 |
| 928 | Global Stabilization of Nash Equilibrium for Mixed Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: We consider a traffic network in which the traffic is a mix of regular and connected-autonomous vehicles. We presume the headways for vehicles in each link in the network are … |
Jeff Scruggs; Richard Lee; Yafeng Yin; | 2024 American Control Conference (ACC) | 2024-07-10 |
| 929 | NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Providing a personalized human-like AD experience, tailored to match users’ unique driving styles while adhering to safety prerequisites, presents a significant opportunity to boost the acceptance of AVs. This paper proposes a novel approach, Neural Driving Style Transfer (NDST), inspired by Neural Style Transfer (NST), to address this issue. |
Donghyun Kim; Aws Khalil; Haewoon Nam; Jaerock Kwon; | arxiv-cs.RO | 2024-07-10 |
| 930 | Risk-based Socially-Compliant Behavior Planning for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In this study, we introduce an innovative risk-aware behavior planning framework designed for autonomous driving, with the aim of fostering socially compliant vehicle behavior in … |
Yiwei Lyu; Wenhao Luo; John M. Dolan; | 2024 American Control Conference (ACC) | 2024-07-10 |
| 931 | Collision and Obstacle Avoidance for Industrial Autonomous Vehicles — Simulation and Experimentation Based on A Cooperative Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this chapter, we will focus on a class of problems faced by IAVs related to collision and obstacle avoidance. |
Juliette Grosset; Alain-Jérôme Fougères; M Djoko-Kouam; C Couturier; Jean-Marie Bonnin; | arxiv-cs.RO | 2024-07-09 |
| 932 | Robust Meta-Learning of Vehicle Yaw Rate Dynamics Via Conditional Neural Processes Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In each case, the drawbacks can be associated to a certain degree to the physical modeling of the yaw rate dynamics. Therefore, this paper investigates the yaw rate prediction based on conditional neural processes (CNP), a data-driven meta-learning approach, to simultaneously achieve low errors, adequate complexity and robustness to varying parameters. |
Lars Ullrich; Andreas Völz; Knut Graichen; | arxiv-cs.RO | 2024-07-09 |
| 933 | VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This leads to their poor zero-shot prediction capability to handle real-world observations with occlusion or tricky viewing angles. To solve this problem, in this work, we propose VQA-Diff, a novel framework that leverages in-the-wild vehicle images to create photorealistic 3D vehicle assets for autonomous driving. |
YIBO LIU et. al. | arxiv-cs.CV | 2024-07-08 |
| 934 | GenFollower: Enhancing Car-Following Prediction with Large Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, current approaches often suffer from limitations like high sensitivity to data quality and lack of interpretability. In this study, we propose GenFollower, a novel zero-shot prompting approach that leverages large language models (LLMs) to address these challenges. |
XIANDA CHEN et. al. | arxiv-cs.AI | 2024-07-08 |
| 935 | Distributed Hierarchical AI Architecture for Meta-Described Local Dynamic Maps in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In autonomous driving, sharing information among vehicles to enhance safety is an important issue. However, it is not yet clear how each terminal car processes information and how … |
HIROSHI MIYATA et. al. | 2024 16th IIAI International Congress on Advanced Applied … | 2024-07-06 |
| 936 | Autonomous Vehicle Lane-change Maneuver Accounting for Emotion-induced Driving Behavior in Other Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
A. Widyotriatmo; Husnul Amri; Y. Y. Nazaruddin; | Intell. Serv. Robotics | 2024-07-05 |
| 937 | Enhancing Autonomous Driving Navigation Using Soft Actor-Critic IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles have gained extensive attention in recent years, both in academia and industry. For these self-driving vehicles, decision-making in urban environments poses … |
Badr Ben Elallid; Nabil Benamar; Miloud Bagaa; Yassine Hadjadj Aoul; | Future Internet | 2024-07-04 |
| 938 | Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In pursuit of autonomous vehicles, achieving human-like driving behavior is vital. This study introduces adaptive autopilot (AA), a unique framework utilizing constrained-deep … |
D. SELVARAJ et. al. | ArXiv | 2024-07-02 |
| 939 | Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study tackles indoor autonomous driving, particularly in overlooked spaces like underground parking lots. |
JiaQi Luo; | arxiv-cs.AI | 2024-07-02 |
| 940 | Autonomous Driving Decision Algorithm for Complex Multi-Vehicle Interactions: An Efficient Approach Based on Global Sorting and Local Gaming IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: For autonomous driving, it is important to develop safe and efficient decision algorithms to handle multi-vehicle interactions. Game theory is suitable to manage the interactive … |
Daofei Li; Jiajie Zhang; Guanming Liu; | IEEE Transactions on Intelligent Transportation Systems | 2024-07-01 |
| 941 | Ego Vehicle Trajectory Prediction Based on Time-Feature Encoding and Physics-Intention Decoding IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the stage of man-machine cooperative driving, accurately predicting the trajectory of the ego vehicle can help intelligent system understand future risk and adjust the control … |
Ziyu Zhang; Chunyan Wang; Wanzhong Zhao; Mingchun Cao; Jinqiang Liu; | IEEE Transactions on Intelligent Transportation Systems | 2024-07-01 |
| 942 | The Battle of Ethics in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With autonomous cars promising a comfortable and efficient driving experience, it is of paramount importance to ensure they can replicate or do better than the human … |
Ruchika Gupta; | 2024 IEEE 24th International Conference on Software … | 2024-07-01 |
| 943 | A Survey of Automatic Driving Environment Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Driven by new generation AI technologies such as big data, cloud computing and machine learning, autonomous driving has been significantly developed and progressed in recent … |
Hui Zhao; Xin Li; Cheng Xu; Bingxin Xu; Hongzhe Liu; | 2024 IEEE 24th International Conference on Software … | 2024-07-01 |
| 944 | Immersive Traffic Interactive Simulator for Multi-Agent Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Interaction in complex traffic scenarios poses significant risks, but existing research lacks a thorough analysis of interaction mechanisms. This gap presents challenges for … |
ZHENG FU et. al. | 2024 IEEE 24th International Conference on Software … | 2024-07-01 |
| 945 | Acceleration Method for Generating Perception Failure Scenarios Based on Editing Markov Process Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The unique structural constraints, insufficient lighting, and high-density obstacles in underground parking garages impose greater demands on the perception systems, which are critical to autonomous driving technology. This study proposes an accelerated generation method for perception failure scenarios tailored to the underground parking garage environment, aimed at testing and improving the safety performance of autonomous vehicle (AV) perception algorithms in such settings. |
Canjie Cai; | arxiv-cs.AI | 2024-07-01 |
| 946 | Age of Processing-Aware Offloading Decision for Autonomous Vehicles in 5G Open RAN Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In state-of-the-art autonomous vehicles, data from the vehicle’s sensors is often processed using fast and expensive onboard hardware. Such an onboard processing scheme quickly … |
Anselme Ndikumana; K. Nguyen; Mohamed Cheriet; | IEEE Transactions on Mobile Computing | 2024-07-01 |
| 947 | Set-based Trajectory Planning for A Car-like Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper addresses the problem of feasible trajectory planning for an autonomous car-like vehicle. The proposed algorithm explicitly considers the closed-loop dynamics of the … |
V. Nardi; | 2024 10th International Conference on Control, Decision and … | 2024-07-01 |
| 948 | Safe and Efficient Trajectory Planning Considering Longitudinal and Lateral Coupled Limits Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles need to coordinate longitudinal and lateral motion to achieve safe and efficient driving when facing complex and dangerous scenarios. This work explores the … |
ZITONG SHAN et. al. | IEEE Transactions on Vehicular Technology | 2024-07-01 |
| 949 | Evolutionary Decision-Making and Planning for Autonomous Driving: A Hybrid Augmented Intelligence Framework IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Recently, thanks to the introduction of human feedback, Chat Generative Pre-trained Transformer (ChatGPT) has achieved remarkable success in the language processing field. … |
KANG YUAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-07-01 |
| 950 | A Comprehensive Survey on High-Definition Map Generation and Maintenance IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The automotive industry has experienced remarkable growth in recent decades, with a significant focus on advancements in autonomous driving technology. While still in its early … |
Kaleab Taye Asrat; Hyung-Ju Cho; | ISPRS Int. J. Geo Inf. | 2024-07-01 |
| 951 | Comfort-Aware Lane Change Planning With Exit Strategy for Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Automation in road vehicles is an emerging technology that has developed rapidly over the last decade. There have been many inter-disciplinary challenges posed on existing … |
SHUNCHENG LIU et. al. | IEEE Transactions on Knowledge and Data Engineering | 2024-07-01 |
| 952 | A Human-Machine Intervention Model of Autonomous Driving Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: While autonomous driving has been widely applied, they can not be fully embraced by individual users and society until their safety issues are addressed. The operation of … |
Zhijie Feng; Yu Lin; Chuqi Guo; Jianwen Xiang; | 2024 IEEE 24th International Conference on Software … | 2024-07-01 |
| 953 | MTPI: Multimodal Trajectory Prediction for Autonomous Driving Via Informer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The multimodal prediction of surrounding vehicle trajectories serves as a valuable tool in assisting autonomous vehicles in making safe and rational decisions. The complexity and … |
Mengting Sun; Jun Li; Jiang Liu; Xiaohan Yang; | 2024 IEEE 24th International Conference on Software … | 2024-07-01 |
| 954 | Limited Information Aggregation for Collaborative Driving in Multi-Agent Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Multi-agent reinforcement learning (MARL) methods have emerged as a promising solution for multi-agent collaborative driving in the intersection and roundabout scenarios. However, … |
QINGYI LIANG et. al. | IEEE Robotics and Automation Letters | 2024-07-01 |
| 955 | Interaction of Autonomous and Manually Controlled Vehicles Multiscenario Vehicle Interaction Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The acquisition and analysis of high-quality sensor data constitute an essential requirement in shaping the development of fully autonomous driving systems. This process is … |
N. CERTAD et. al. | IEEE Intelligent Transportation Systems Magazine | 2024-07-01 |
| 956 | An AR-Based Meta Vehicle Road Cooperation Testing Systems: Framework, Components Modeling, and An Implementation Example IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In this study, we introduce an AR-based meta-vehicle road collaboration testing system (AR-MVRTs), a significant advancement in autonomous driving testing. This system utilizes … |
XUESONG BAI et. al. | IEEE Internet of Things Journal | 2024-07-01 |
| 957 | Enhancing Autonomous Vehicles System Security: Advanced Attack Detection for Robust Safeguarding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advances in highly automated and autonomous transportation systems over the last decade have generated great interest in topics in the safe navigation of land vehicles. With … |
FATEMEH AKBARIAN et. al. | 2024 10th International Conference on Control, Decision and … | 2024-07-01 |
| 958 | ADS Modeling and Safety Verification in Extreme Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles play a vital role in improving traffic efficiency and reducing traffic accidents. The spatio-temporal data in driving scenarios is complex and unpredictable, … |
Ying Zhao; Yi Zhu; Li Zhao; Zexin Li; Chan Yin; | 2024 IEEE 24th International Conference on Software … | 2024-07-01 |
| 959 | Leaky PPO: A Simple and Efficient RL Algorithm for Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Interest in applying Reinforcement Learning (RL) to Autonomous Vehicles (AVs) is experiencing a rapid and substantial expansion. Proximal Policy Optimization (PPO), a well-known … |
Xinchen Han; Hossam Afifi; Hassine Moungla; M. Marot; | 2024 International Joint Conference on Neural Networks … | 2024-06-30 |
| 960 | Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Considering that the latter links can be reused by vehicle-to-vehicle (V2V) communications to improve spectrum utilization, the receiver of the V2I link may suffer from severe interference that can cause outages during the task offloading. To tackle this issue, we propose the deployment of a reconfigurable intelligent computational surface (RICS) whose computationally capable metamaterials are leveraged to jointly enable V2I reflective links as well as to implement interference cancellation at the V2V links. |
XUEYAO ZHANG et. al. | arxiv-cs.DC | 2024-06-30 |
| 961 | Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving is a hot topic within both academic and industrial domains. Critical to its advancement is the high performance of used machine learning models such as image … |
Junyao Liang; Juan Li; Ji Zhang; Tianzi Zang; | 2024 International Joint Conference on Neural Networks … | 2024-06-30 |
| 962 | A Transferable Adversarial Attack Against Object Detection Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Deep neural networks are widely used in tasks such as autonomous driving and computer vision. Previous studies have shown that it is susceptible to adversarial attacks, resulting … |
Yier Wei; Haichang Gao; Xingyi Quan; Guotu Luo; | 2024 International Joint Conference on Neural Networks … | 2024-06-30 |
| 963 | Enhanced Vehicle Detection Through Multi-Sensor Fusion Utilizing YOLO-NAS and Faster R-CNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Multi-Sensor Fusion (MSF) is pivotal in advancing autonomous driving technologies. MSF has numerous challenges, such as data synchronization, noise reduction, and managing the … |
Adi El‐Dalahmeh; Moawiah El‐Dalahmeh; Jie Li; | 2024 International Joint Conference on Neural Networks … | 2024-06-30 |
| 964 | Autonomous Cornering Control Based on Sense of Circular Vision Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Recently, Research and Development of technology are actively conducted in the automotive industry. When automated driving becomes widespread, it is important to have a vehicle … |
REN DEGOSHI et. al. | 2024 IEEE International Conference on Fuzzy Systems … | 2024-06-30 |
| 965 | Lessons in Cooperation: Driver Sentiments Toward Real-Time Advisory Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Real-time advisory systems (RTASs) are a crucial milestone on the road toward fully autonomous driving. Current proof-of-concept RTASs, which observe drivers and their environment … |
Aamir Hasan; Neeloy Chakraborty; Haonan Chen; Cathy Wu; K. Driggs-Campbell; | IEEE Intelligent Transportation Systems Magazine | 2024-06-29 |
| 966 | Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments Towards Real-Time Advisory Systems from A Driving Simulator User Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Real-time Advisory (RTA) systems, such as navigational and eco-driving assistants, are becoming increasingly ubiquitous in vehicles due to their benefits for users and society. … |
Aamir Hasan; Neeloy Chakraborty; Haonan Chen; Cathy Wu; K. Driggs-Campbell; | ArXiv | 2024-06-29 |
| 967 | Cooperative Advisory Residual Policies for Congestion Mitigation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Our policies advise drivers to behave in ways that mitigate traffic congestion while accounting for diverse driver behaviors, particularly drivers’ reactions to instructions, to provide an improved user experience. To realize such policies, we introduce an improved reward function that explicitly addresses congestion mitigation and driver attitudes to advice. |
AAMIR HASAN et. al. | arxiv-cs.LG | 2024-06-29 |
| 968 | A Rule-Based Behaviour Planner for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose an algorithm to create and maintain a rule-based behaviour planner, using a two-layer rule-based theory. |
Bouchard Frederic; Sedwards Sean; Czarnecki Krzysztof; | arxiv-cs.AI | 2024-06-29 |
| 969 | Modeling Autonomous Vehicle Responses to Novel Observations Using Hierarchical Cognitive Representations Inspired Active Inference Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Equipping autonomous agents for dynamic interaction and navigation is a significant challenge in intelligent transportation systems. This study aims to address this by … |
SHEIDA NOZARI et. al. | Comput. | 2024-06-28 |
| 970 | LCSim: A Large-Scale Controllable Traffic Simulator Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We propose \textit{LCSim}, a large-scale controllable traffic simulator. |
YUHENG ZHANG et. al. | arxiv-cs.RO | 2024-06-28 |
| 971 | Factors, Prediction, and Explainability of Vehicle Accident Risk Due to Driving Behavior Through Machine Learning: A Systematic Literature Review, 2013-2023 IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Road accidents are on the rise worldwide, causing 1.35 million deaths per year, thus encouraging the search for solutions. The promising proposal of autonomous vehicles stands out … |
Javier Lacherre; José Luis Castillo Sequera; David Mauricio; | Comput. | 2024-06-28 |
| 972 | About Controlling The Autonomous Car Movement on The Road Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The autonomous movement of a car in a structured environment is possible based on a map, with the location of the vehicle by GPS and a destination specified by a user or by the … |
Andrei-Marius Mazilu; Ion Bogdan; L. Scripcariu; | 2024 16th International Conference on Electronics, … | 2024-06-27 |
| 973 | Characterization of $\text{LiFePO}_{4}$ Cells for Formula SAE’s Driverless Vehicle Using Climate Tests Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: One of the most crucial aspects in driverless vehicles is represented by the electric actuators that move steering wheel and brake pedal. These motors require an amount of power … |
G. PATRIZI et. al. | 2024 IEEE International Workshop on Metrology for … | 2024-06-26 |
| 974 | Reliable Risk Assessment and Management Using Probabilistic Fusion of Predictive Inter-Distance Profile for Urban Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving in urban scenarios has become more challenging due to the increase in Personal Light Electric Vehicles (PLEVs), PLEVs correspond mostly to electric devices such … |
E. Alao; Lounis Adouane; Philippe Martinet; | 2024 European Control Conference (ECC) | 2024-06-25 |
| 975 | RETRACTED: Information System Model and Key Technologies of High-Definition Maps in Autonomous Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Background: High-definition maps can provide necessary prior data for autonomous driving, as well as the corresponding beyond-line-of-sight perception, verification and … |
Zhiqi Qian; Zhirui Ye; Xiaomeng Shi; | Sensors (Basel, Switzerland) | 2024-06-25 |
| 976 | Path-Following Control of Autonomous Vehicles Under Sensor Attacks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper addresses a problem related to sensor attacks in autonomous vehicles. We proposes an approach that integrates a path following control framework with a novel nonlinear … |
Muhammad Hilmi; A. Widyotriatmo; I. Kuncara; Y. Y. Nazaruddin; Agus Hasan; | 2024 European Control Conference (ECC) | 2024-06-25 |
| 977 | Machine Learning Based Driver Emotion Monitoring for Vehicular IoT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent years, the convergence of driver monitoring systems (DMS), cloud technologies, and self-driving cars has gained increasing attention. Driver monitoring systems use a … |
FENG XIAO et. al. | 2024 IEEE 99th Vehicular Technology Conference … | 2024-06-24 |
| 978 | Confirmed-Location Group Membership for Intrusion-Resilient Cooperative Maneuvers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Cooperation among autonomous vehicles is required whenever efficiency or safety prevents maneuvering based solely on the information of individuals. Intersection crossing is a … |
Júlio Mendonça; Azin Bayrami Asl; Federico Lucchetti; Marcus Völp; | 2024 IEEE 99th Vehicular Technology Conference … | 2024-06-24 |
| 979 | Perception System of Autonomous Vehicles: Sophisticated Attacks, Defense Strategies, and Future Directions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advent of autonomous vehicles marks a significant milestone in the evolution of automotive technologies. Central to the operation of autonomous vehicles is the perception … |
M. Neethu; P. Remyakrishnan; S. Mukesh; J. Kumar; Ala Manas Royal; | 2024 15th International Conference on Computing … | 2024-06-24 |
| 980 | Transforming The Travel with OmniCruise: Designing A Fully Directional Autonomous Car with Smart Obstacle Detection and Collision Evasion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The development of autonomous cars has accelerated recently due to developments in artificial intelligence, processing capacity, and sensor technology. This paper is the … |
Nidhi Vashistha; Ritu Sharma; | 2024 15th International Conference on Computing … | 2024-06-24 |
| 981 | MARVIN: Mobile Autonomous Robot Vehicle for Investigation & Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Self-driving vehicles are a rising field for investigation; both in the commercial and academic world, but most framework platforms currently are not designed for the Latin … |
LUIS ANDRADE et. al. | 2024 21st International Conference on Ubiquitous Robots (UR) | 2024-06-24 |
| 982 | Curbside Parking Occupancy Detection – Dashcam-Based Solutions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accurate assessment of curbside parking occupancy is essential for policymakers to optimize public resource allocation. It is also beneficial for driver/autonomous vehicles’ … |
Jiayu Li; Hanming Zhang; Juhua Hu; Wei Cheng; | 2024 25th IEEE International Conference on Mobile Data … | 2024-06-24 |
| 983 | GPT-4V Explorations: Mining Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper explores the application of the GPT-4V(ision) large visual language model to autonomous driving in mining environments, where traditional systems often falter in understanding intentions and making accurate decisions during emergencies. |
Zixuan Li; | arxiv-cs.CV | 2024-06-24 |
| 984 | Autonomous Ground Vehicle Trajectory Tracking Using Adaptive Model Predictive Control Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Trajectory tracking is crucial for an autonomous vehicle’s ability to navigate complex paths, ensuring both overall functionality and maneuverability. This paper proposes an … |
Athira Krishnan; Hari Kumar; Lal Priya; | 2024 15th International Conference on Computing … | 2024-06-24 |
| 985 | Applying Service Meshes to In-Car Architectures: The CARISMA Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Nowadays, the software complexity of modern cars increases rapidly due to highly sophisticated applications, such as autonomous driving. Consequently, traditional … |
Kevin Klein; Pascal Hirmer; Alexander Walz; Steffen Becker; | Proceedings of the 18th ACM International Conference on … | 2024-06-24 |
| 986 | EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the realm of driving technologies, fully autonomous vehicles have not been widely adopted yet, making advanced driver assistance systems (ADAS) crucial for enhancing driving … |
XIANDA CHEN et. al. | ArXiv | 2024-06-23 |
| 987 | CONClave – Secure and Robust Cooperative Perception for CAVs Using Authenticated Consensus and Trust Scoring Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Connected Autonomous Vehicles have great potential to improve automobile safety and traffic flow, especially in cooperative applications where perception data is shared between … |
Edward Andert; Francis Mendoza; Hans Walter Behrens; Aviral Shrivastava; | 2024 61st ACM/IEEE Design Automation Conference (DAC) | 2024-06-23 |
| 988 | MetaFollower: Adaptable Personalized Autonomous Car Following IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Car-following (CF) modeling, a fundamental component in microscopic traffic simulation, has attracted increasing interest of researchers in the past decades. In this study, we … |
XIANDA CHEN et. al. | ArXiv | 2024-06-23 |
| 989 | Environmental Effects of Lane Management Strategies Considering Connected and Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: During the gradual deployment of connected and autonomous vehicle (CAV) technology, lane management strategies are regarded as potential solutions in the complex traffic flow … |
Xizhen Chen; Xumei Chen; Shiyu Jiang; Yue Du; Zexin Fu; | 2024 IEEE International Conference on Service Operations … | 2024-06-22 |
| 990 | Research on Multi-sensor Information Fusion Technology Based on Driverless Vehicle Driving Platforms Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
Yuli Wang; | CAIBDA | 2024-06-21 |
| 991 | Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a novel driving strategy for Connected and Automated Vehicles (CAVs) based on a competitive Multi-Agent Deep Deterministic Policy Gradient approach. |
Mehran Berahman; Majid Rostami-Shahrbabaki; Klaus Bogenberger; | arxiv-cs.RO | 2024-06-20 |
| 992 | LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The perception systems of autonomous vehicles face significant challenges under adverse conditions, with issues such as obscured objects and false detections due to environmental … |
YUXIAO ZHANG et. al. | Remote. Sens. | 2024-06-20 |
| 993 | Acquisition of Cooperative Control of Multiple Vehicles Through Reinforcement Learning Utilizing Vehicle-to-Vehicle Communication and Map Information Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In recent years, extensive research has been conducted on the practical applications of autonomous driving. Much of this research relies on existing road infrastructure and aims … |
TENTA SUZUKI et. al. | J. Robotics Mechatronics | 2024-06-20 |
| 994 | GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Understanding the interdependence between autonomous and human-operated vehicles remains an ongoing challenge, with significant implications for the safety and feasibility of autonomous driving.This interdependence arises from inherent interactions among road users.Thus, it is crucial for Autonomous Vehicles (AVs) to understand and analyze the intentions of human-driven vehicles, and to display behavior comprehensible to other traffic participants.To this end, this paper presents GTP-UDRIVE, a unified game-theoretic trajectory planner and decision-maker considering a mixed-traffic environment. |
Nouhed Naidja; Guillaume Sandou; Stéphane Font; Marc Revilloud; | arxiv-cs.RO | 2024-06-20 |
| 995 | Automatic Lane-Changing System on Congested Highway Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study proposes an autonomous lane-changing system for congested merging areas. Manual and autonomous vehicles are expected to coexist until all vehicles are substituted by … |
Hanwool Woo; Hiroto Tetsuka; Jongseong Gwak; | J. Robotics Mechatronics | 2024-06-20 |
| 996 | FedMG: A Federated Multi-Global Optimization Framework for Autonomous Driving Control Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Control is a critical module of autonomous driving systems, which ensures safety and enhances the human-machine interface. Due to the diverse control demands dictated by different … |
Jialiang Ma; Chunlin Tian; Li Li; Chengzhong Xu; | 2024 IEEE/ACM 32nd International Symposium on Quality of … | 2024-06-19 |
| 997 | Winning Through Simplicity: Autonomous Car Design for Formula Student Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the design of an autonomous race car that is self-designed, self-developed, and self-built by the Elefant Racing team at the University of Bayreuth. |
TOBIAS FRIEDRICH et. al. | arxiv-cs.RO | 2024-06-19 |
| 998 | UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this research, a method for improving driving challenges on roads in winter conditions, with a model that segments and estimates the width of the road from the perspectives of Uncrewed aerial vehicles and autonomous vehicles. |
Siva Ariram; Veikko Pekkala; Timo Mäenpää; Antti Tikänmaki; Juha Röning; | arxiv-cs.RO | 2024-06-18 |
| 999 | Enhancing Emergency Stop Safety Using DDS-Based Vehicle External Communication Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advancement of autonomous driving technology is revolutionizing the automotive industry, enabling vehicles to navigate routes and control operations independently through … |
Hyeong-Keun Hong; Si-Woo Lee; J. Jeon; | 2024 IEEE 33rd International Symposium on Industrial … | 2024-06-18 |
| 1000 | ROS2 Implementation of Object Detection and Distance Estimation Using Camera and 2D LiDAR Fusion in Autonomous Vehicle IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The performance of ‘perception’ is important to enable autonomous vehicles to drive safely and efficiently under all environmental conditions. This paper proposes a methodology … |
Gyu Hyeon Hwang; Si-Woo Lee; J. Jeon; | 2024 IEEE 33rd International Symposium on Industrial … | 2024-06-18 |