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.
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TABLE 1: Paper Digest: Recent Papers on Autopilot / Self-Driving Car
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | 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 |
| 2 | 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 |
| 3 | Online Fine-Tuning of Pretrained Controllers for Autonomous Driving Via Real-Time Recurrent RL Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We show that employing Real-Time Recurrent Reinforcement Learning (RTRRL), a biologically plausible algorithm for online adaptation, can effectively fine-tune a pretrained policy to improve autonomous agents’ performance on driving tasks. |
JULIAN LEMMEL et. al. | arxiv-cs.RO | 2026-02-02 |
| 4 | 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 |
| 5 | 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 |
| 6 | 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 |
| 7 | 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 |
| 8 | 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 |
| 9 | 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. | arxiv-cs.RO | 2026-01-14 |
| 10 | 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 |
| 11 | 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 |
| 12 | The UnScripted Trip: Fostering Policy Discussion on Future Human-Vehicle Collaboration in Autonomous Driving Through Design-Oriented Methods Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We designed The UnScripted Trip, a card game rooted in fictional narratives of autonomous mobility, to surface tensions around human-vehicle collaboration in future AV scenarios and to provoke critical reflections on design solutions and policy directions. Our goal is to provide an engaging, participatory space and method for automotive researchers, designers, and industry practitioners to collectively explore and shape the future of human-vehicle collaboration and its policy implications. |
XINYAN YU et. al. | arxiv-cs.HC | 2026-01-08 |
| 13 | 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 |
| 14 | 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 |
| 15 | 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 |
| 16 | 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 |
| 17 | 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 |
| 18 | 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 |
| 19 | 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 |
| 20 | 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 |
| 21 | 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 |
| 22 | Autonomous Vehicle Speed Regulation Via Traffic Sign Recognition Models Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The whole project involves combining machine learning-based traffic sign recognition, motor actuators controlled by an Arduino board, and accident detection that relies on ultrasonic sensors, in such a way making the road safety solution efficient and scalable for use in smart vehicles (fully and semi-autonomous) The system identifies standard speed limit boards (like 40 km/h, 60 km/h, 80 km/h, etc.) that the ML model is primarily a component trained to recognize. Using image processing and classification techniques, the system recognises these signs from the frames captured and via serial communication, it shares the identified speed limit with the hardware unit. |
AKSHITHA R; NIKITHA T S; BRUNDA S; | International Journal of Scientific Research in Engineering … | 2025-12-27 |
| 23 | 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 |
| 24 | 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 |
| 25 | 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 |
| 26 | 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 |
| 27 | 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 |
| 28 | 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 |
| 29 | 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; | arxiv-cs.CV | 2025-12-16 |
| 30 | 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 |
| 31 | Design of An Extended DCAT-Based Metadata Schema and Data Catalog for Autonomous Vehicle Accident Investigation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study establishes a structured mapping framework linking investigation procedures, responsible entities, items, and data across accident phases. |
Minwook Kim; Nayeon Kim; Heesoo Kim; Tai-Jin Song; | Sustainability | 2025-12-15 |
| 32 | 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 |
| 33 | 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 |
| 34 | 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 |
| 35 | Spatial Retrieval Augmented Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In contrast, human drivers are able to recall road structure even under poor visibility. To endow models with this “recall ability, we propose the spatial retrieval paradigm, introducing offline retrieved geographic images as an additional input. |
XIAOSONG JIA et. al. | arxiv-cs.CV | 2025-12-07 |
| 36 | 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 |
| 37 | Follow The Leader: A Deep Reinforcement Learning Framework for Safe and Efficient Autonomous Car-following Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
ANDRES L. MARIN et. al. | Journal of Intelligent Transportation Systems | 2025-12-04 |
| 38 | 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 |
| 39 | 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 |
| 40 | 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 |
| 41 | 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 |
| 42 | 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 |
| 43 | 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 |
| 44 | 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 |
| 45 | 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 |
| 46 | 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 |
| 47 | 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 |
| 48 | 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 |
| 49 | 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 |
| 50 | 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 |
| 51 | 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 |
| 52 | 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 |
| 53 | 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 |
| 54 | 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 |
| 55 | 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 |
| 56 | 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 |
| 57 | 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 |
| 58 | 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 |
| 59 | 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 |
| 60 | 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 |
| 61 | 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 |
| 62 | 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 |
| 63 | 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 |
| 64 | 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 |
| 65 | 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 |
| 66 | 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 |
| 67 | 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 |
| 68 | Stability-Aware Reinforcement Learning for Autonomous Driving With Dynamics-Augmented State and Lyapunov Constraints Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving in extreme conditions presents substantial challenges in ensuring vehicle stability and safety. Traditional reinforcement learning (RL) methods for … |
Yutao Luo; Andi Liu; Weiqiang Liang; Jiawei Hong; | IEEE Robotics and Automation Letters | 2025-11-01 |
| 69 | 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 |
| 70 | 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 |
| 71 | 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 |
| 72 | 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 |
| 73 | Realistic Pedestrian-driver Interaction Modelling Using Multi-agent RL with Human Perceptual-motor Constraints Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, we propose a multi-agent reinforcementlearning (RL) framework that integrates both visual and motor constraints ofpedestrian and driver agents. |
Yueyang Wang; Mehmet Dogar; Gustav Markkula; | arxiv-cs.AI | 2025-10-31 |
| 74 | 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 |
| 75 | 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 primarilydue to the absence of a designated ego vehicle and the associated sensorinputs, such as camera or LiDAR, typically provided in real-world scenarios. Toaddress this gap, we introduce SynAD, the first framework designed to enhancereal-world E2E AD models using synthetic data. |
JONGSUK KIM et. al. | arxiv-cs.RO | 2025-10-28 |
| 76 | ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: However, their direct application to ADS is hindered by challenges such as misunderstanding of traffic knowledge, complex road conditions, and diverse states of vehicle. To address these challenges, we propose the use of Knowledge Editing, which enables targeted modifications to a model’s behavior without the need for full retraining. |
CHENXI WANG et. al. | mm | 2025-10-27 |
| 77 | ViTraj: Learning Dual-Side Representations for Vehicle-Infrastructure Cooperative Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, existing methods overlook the challenges in Vehicle-Infrastructure Cooperative Trajectory Prediction. To bridge this gap, we propose ViTraj, a model-agnostic framework for VIC-TP that leverages infrastructure-side trajectories to mitigate the inherent limitations of vehicle-side forecasting. |
Shengzhe You; Libo Weng; Fei Gao; | mm | 2025-10-27 |
| 78 | Gen AI in Automotive: Applications, Challenges, and Opportunities with A Case Study on In-Vehicle Experience Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper provides a comprehensive review of the current state ofGenAI in automotive, highlighting enabling technologies such as GenerativeAdversarial Networks and Variational Autoencoders. |
Chaitanya Shinde; Divya Garikapati; | arxiv-cs.RO | 2025-10-26 |
| 79 | 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 |
| 80 | 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 |
| 81 | 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 |
| 82 | Where, What, Why: Towards Explainable Driver Attention Prediction 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 |
| 83 | 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 |
| 84 | 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 |
| 85 | 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 |
| 86 | 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 |
| 87 | Application and Experimental Verification of A Delay-Aware Deep Reinforcement Learning Method in End-to-End Autonomous Driving Control Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study investigates the effect of sensor-to-actuation delay in end-to-end autonomous driving using deep reinforcement learning (DRL). |
Kazuya Emura; Ryuzo Hayashi; | Journal of Robotics and Mechatronics | 2025-10-19 |
| 88 | 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 |
| 89 | 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 |
| 90 | 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 |
| 91 | STOCHASTIC GAME THEORY AND MEAN-FIELD MODELS FOR AUTONOMOUS VEHICLE COORDINATION Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Coordinating large numbers of autonomous vehicles (AVs) on roads is a complex, uncertain, and decentralized control problem. Each vehicle must decide in real time how to … |
J. Prakash; | International Journal of Applied Mathematics | 2025-10-15 |
| 92 | An Analytical Framework to Enhance Autonomous Vehicle Perception for Smart Cities Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This article proposes a novel utility-basedanalytical model that enables perception systems of AVs to understand thedriving environment. |
JALAL KHAN et. al. | arxiv-cs.AI | 2025-10-15 |
| 93 | 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 |
| 94 | 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 |
| 95 | 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 |
| 96 | 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 |
| 97 | 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 |
| 98 | 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 |
| 99 | In-Car Gaming: A Scoping Review and Future Agenda Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Thus, this paper presents the findings of a scoping review of 42 relevant papers on gaming in cars. |
Johanna Eiting; Jonathan Stief; Benedikt Morschheuser; | Proceedings of the ACM on Human-Computer Interaction | 2025-10-05 |
| 100 | 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 |
| 101 | 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 |
| 102 | Spatio-Temporal EV Task Offloading, Energy, and Traffic Management for 6G Communication-Power-Transportation Coupling Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The integration among 6G communication networks, power grids, and transportation systems is emerging as a promising paradigm to achieve mutual benefits among autonomous-driving … |
CHAO PAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2025-10-01 |
| 103 | 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 |
| 104 | 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 |
| 105 | A Multi-Modality Evaluation of The Reality Gap in Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, discrepancies between simulated and real-world behavior,known as the reality gap, challenge the transferability of test results todeployed systems. In this paper, we present a comprehensive empirical studycomparing four representative testing modalities: Software-in-the-Loop (SiL),Vehicle-in-the-Loop (ViL), Mixed-Reality (MR), and full real-world testing.Using a small-scale physical vehicle equipped with real sensors (camera andLiDAR) and its digital twin, we implement each setup and evaluate two ADSarchitectures (modular and end-to-end) across diverse indoor driving scenariosinvolving real obstacles, road topologies, and indoor environments. |
Stefano Carlo Lambertenghi; Mirena Flores Valdez; Andrea Stocco; | arxiv-cs.SE | 2025-09-26 |
| 106 | The UnScripted Trip: Fostering Policy Discussion on Future Human–Vehicle Collaboration in Autonomous Driving Through Design-Oriented Methods Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The rapid advancement of autonomous vehicle (AV) technologies is fundamentally reshaping paradigms of human–vehicle collaboration, raising not only an urgent need for innovative … |
XINYAN YU et. al. | Adjunct Proceedings of the 17th International Conference on … | 2025-09-22 |
| 107 | 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 |
| 108 | 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 |
| 109 | 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 |
| 110 | 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 |
| 111 | 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 |
| 112 | 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 |
| 113 | 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 |
| 114 | Toward A Holistic Multi-Criteria Trajectory Evaluation Framework for Autonomous Driving in Mixed Traffic Environment Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a unified framework for the evaluation and optimizationof autonomous vehicle trajectories, integrating formal safety, comfort, andefficiency criteria. |
Nouhed Naidja; Stéphane Font; Marc Revilloud; Guillaume Sandou; | arxiv-cs.RO | 2025-09-01 |
| 115 | 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 |
| 116 | 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 |
| 117 | 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 |
| 118 | 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 |
| 119 | Robust Anomaly Detection Through Multi-Modal Autoencoder Fusion for Small Vehicle Damage Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In contrast,state-of-the-art image-based methods are less reliable when the vehicle ismoving, and they cannot effectively capture underbody damage due to limitedvisual access and spatial coverage. This work introduces a novel multi-modalarchitecture based on anomaly detection to address these issues. |
Sara Khan; Mehmed Yüksel; Frank Kirchner; | arxiv-cs.LG | 2025-09-01 |
| 120 | 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 |
| 121 | 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 |
| 122 | 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 |
| 123 | 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 |
| 124 | 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 |
| 125 | A Workflow for Map Creation in Autonomous Vehicle Simulations Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The fast development of technology and artificial intelligence hassignificantly advanced Autonomous Vehicle (AV) research, emphasizing the needfor extensive simulation testing. |
Zubair Islam; Ahmaad Ansari; George Daoud; Mohamed El-Darieby; | arxiv-cs.RO | 2025-08-22 |
| 126 | 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 |
| 127 | Progressive Bird’s Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This survey provides the first comprehensive review of BEVperception from a safety-critical perspective, systematically analyzingstate-of-the-art frameworks and implementation strategies across threeprogressive stages: single-modality vehicle-side, multimodal vehicle-side, andmulti-agent collaborative perception. |
YAN GONG et. al. | arxiv-cs.RO | 2025-08-10 |
| 128 | YOLO-ACE: A Vehicle and Pedestrian Detection Algorithm for Autonomous Driving Scenarios Based on Knowledge Distillation of YOLOv10 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 |
| 129 | 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 |
| 130 | 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 |
| 131 | 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 |
| 132 | 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 |
| 133 | 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 |
| 134 | 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 |
| 135 | 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 |
| 136 | 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 |
| 137 | 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 |
| 138 | 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 |
| 139 | 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 |
| 140 | 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 |
| 141 | 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 |
| 142 | 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 |
| 143 | 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 |
| 144 | Heterogeneous Multiscale Cooperative Perception for Connected Autonomous Vehicles Via V2X Interaction 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 |
| 145 | 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 |
| 146 | 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 |
| 147 | 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 |
| 148 | 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 |
| 149 | Share The Unseen: Sequential Reasoning About Occlusions Using Vehicle-to-Everything Technology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle-to-everything (V2X) communication holds significant promise for augmenting autonomous driving capabilities. Particularly in dense traffic with occluded areas, V2X can be … |
TRULS NYBERG et. al. | IEEE Transactions on Control Systems Technology | 2025-07-01 |
| 150 | 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 |
| 151 | Privacy-Preserving Autonomous Vehicle Group Formation in A Collusive Attack Scenario Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The dynamic topologies and sensitive information exchanged among autonomous vehicle groups make them prime targets for attackers. In particular, in a collusive attack scenario, … |
ZEBIN XIANG et. al. | IEEE Internet of Things Journal | 2025-07-01 |
| 152 | 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 |
| 153 | Unified Planning Framework With Drivable Area Attention Extraction for Autonomous Driving in Urban Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The diversity of urban traffic scenarios poses challenges in stability and generalization for autonomous driving. To tackle this issue, this letter proposes a hierarchical … |
SIYUAN CHEN et. al. | IEEE Robotics and Automation Letters | 2025-07-01 |
| 154 | Interaction-Aware and Driving Style-Aware Trajectory Prediction for Heterogeneous Vehicles in Mixed Traffic Environment 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 |
| 155 | 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 |
| 156 | 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 |
| 157 | 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 |
| 158 | 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 |
| 159 | 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 |
| 160 | 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 |
| 161 | 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 |
| 162 | ECAV: An Edge-Assisted Evaluation Platform for Connected Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose eCAV — an efficient, modular, and scalable evaluation platform tofacilitate both functional validation of algorithmic approaches to increasingroad safety, as well as performance prediction of algorithms of various V2Xtechnologies, including a futuristic Vehicle-to-Edge control plane andcorrespondingly designed control algorithms. |
TYLER LANDLE et. al. | arxiv-cs.RO | 2025-06-19 |
| 163 | Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a novel architecture based on QuantumArtificial Intelligence by enabling quantum and AI at various levels ofnavigation decision making and communication process in Autonomous vehicles :Quantum Neural Networks for multimodal sensor fusion, Nav-Q for Quantumreinforcement learning for navigation policy optimization and finallypost-quantum cryptographic protocols for secure communication. |
Hemanth Kannamarlapudi; Sowmya Chintalapudi; | arxiv-cs.ET | 2025-06-18 |
| 164 | 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 |
| 165 | A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce a hierarchical real-world test platform specifically designed to evaluate VLM-integrated autonomous driving systems. |
YUPENG ZHOU et. al. | arxiv-cs.RO | 2025-06-16 |
| 166 | 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 |
| 167 | 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 |
| 168 | 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 |
| 169 | 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 |
| 170 | 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 |
| 171 | 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 |
| 172 | S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with 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. | cvpr | 2025-06-07 |
| 173 | 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 |
| 174 | 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 |
| 175 | Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, a reinforcement learning based lateral control approach, despite the imperfections in the vehicle models due to measurement errors and simplifications, is presented. |
Chengdong Wu; Sven Kirchner; Nils Purschke; Alois C. Knoll; | arxiv-cs.RO | 2025-06-04 |
| 176 | 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 |
| 177 | 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 |
| 178 | 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 |
| 179 | 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 |
| 180 | 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 |
| 181 | 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 |
| 182 | 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 |
| 183 | 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 |
| 184 | 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 |
| 185 | GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control 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 |
| 186 | Target Tracking Via LiDAR-RADAR Sensor Fusion for Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To address thisrequirement, we have developed a Latency-Aware EKF-based Multi Target Trackingalgorithm fusing LiDAR and RADAR measurements. |
Marcello Cellina; Matteo Corno; Sergio Matteo Savaresi; | arxiv-cs.RO | 2025-05-26 |
| 187 | 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 |
| 188 | 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 |
| 189 | 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 |
| 190 | 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 |
| 191 | Evaluation of Mobile Environment for Vehicular Visible Light Communication Using Multiple LEDs and Event Cameras Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, we construct a vehicle visible light communication system where event cameras are receivers, and multiple LEDs are transmitters. |
RYOTA SOGA et. al. | arxiv-cs.RO | 2025-05-21 |
| 192 | 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 |
| 193 | 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 |
| 194 | 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 |
| 195 | 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 |
| 196 | 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 |
| 197 | Joint Task Offloading and Resource Allocation for Vehicle Edge Computing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As autonomous driving and in-vehicle applications develop rapidly, vehicles face significant computing challenges. In order to address this issue, vehicle edge computing (VEC) has … |
Jinlei Liu; Linbo Zhai; | Comput. J. | 2025-05-14 |
| 198 | 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 |
| 199 | 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 |
| 200 | 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 |
| 201 | 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 |
| 202 | AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers Via Affordable Dash-cam Hardware and Open-source AI Software Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As transportation technology advances, the demand for connected vehicle infrastructure has greatly increased to improve their efficiency and safety. One area of advancement, … |
Shengming Yuan; Hao Zhou; | ArXiv | 2025-05-10 |
| 203 | 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 |
| 204 | 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 |
| 205 | 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 |
| 206 | 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 |
| 207 | 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 |
| 208 | Cooperative V2X Communications and Sensing for Autonomous Mobility Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles are at the forefront of transforming transportation, promising enhanced safety and efficiency. However, their full potential relies on the seamless integration … |
João Amaral; Andreia Figueiredo; P. Rito; Susana Sargento; | 2025 IEEE 3rd International Conference on Mobility, … | 2025-05-04 |
| 209 | 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 |
| 210 | 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 |
| 211 | 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 |
| 212 | 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 |
| 213 | 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 |
| 214 | 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 |
| 215 | 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 |
| 216 | Comparing Car-Following Behavior Patterns of Human-Driven Vehicles and Autonomous Vehicles in A Mixed Traffic Environment 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 |
| 217 | 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 |
| 218 | A Vehicle Driving Intention Prediction Method Based on Gated Dual Tower Transformer Model for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
XULIANG GUO et. al. | Expert Syst. Appl. | 2025-05-01 |
| 219 | Toward Human-Vehicle Collaboration for Automated Vehicles: A Review and Perspective 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 |
| 220 | Driving Safety Risk Analysis and Assessment in A Mixed Driving Environment of Connected and Non-Connected Vehicles: A Systematic Survey 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 |
| 221 | 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 |
| 222 | 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 |
| 223 | 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 |
| 224 | Composite Safety Potential Field for Highway Driving Risk Assessment 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 |
| 225 | 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 |
| 226 | 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 |
| 227 | 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 |
| 228 | 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 |
| 229 | 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 |
| 230 | 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 |
| 231 | 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 |
| 232 | 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 |
| 233 | 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 |
| 234 | 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 |
| 235 | GripMap: An Efficient, Spatially Resolved Constraint Framework for Offline and Online Trajectory Planning in Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This overlooks the critical fact that the tires and the surface are the two force-transmitting partners in vehicle dynamics; while the tires stay with the vehicle, surface conditions vary with location. Recognizing these challenges, this paper presents a novel framework for spatially resolving dynamic constraints in both offline and online planning algorithms applied to autonomous racing. |
Frederik Werner; Ann-Kathrin Schwehn; Markus Lienkamp; Johannes Betz; | arxiv-cs.RO | 2025-04-16 |
| 236 | 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 |
| 237 | 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 |
| 238 | 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 |
| 239 | 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 |
| 240 | ADDT — A Digital Twin Framework for Proactive Safety Validation in Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present the Autonomous Driving Digital Twin (ADDT) framework, a high-fidelity simulation platform designed to proactively identify hidden faults, evaluate real-time performance, and validate safety before deployment. |
BO YU et. al. | arxiv-cs.RO | 2025-04-13 |
| 241 | Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper provides a comprehensive review of over 30 publicly available lane detection datasets, systematically analysing their characteristics, advantages and limitations. |
Jörg Gamerdinger; Sven Teufel; Oliver Bringmann; | arxiv-cs.CV | 2025-04-11 |
| 242 | 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 |
| 243 | 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 |
| 244 | 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 |
| 245 | Synthetic Versus Real: An Analysis of Critical Scenarios for Autonomous Vehicle Testing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the emergence of autonomous vehicles comes the requirement of adequate and rigorous testing, particularly in critical scenarios that are both challenging and potentially … |
Qunying Song; Avner Bensoussan; Mohammad Reza Mousavi; | Autom. Softw. Eng. | 2025-04-09 |
| 246 | Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: For instance, measuring critical quantities such as the Vehicle Sideslip Angle (VSA) poses significant commercial challenges using current optical sensors. This paper addresses these limitations by focusing on the development of high-performance virtual sensors to enhance vehicle state estimation for active safety. |
ABINAV KALYANASUNDARAM et. al. | arxiv-cs.RO | 2025-04-08 |
| 247 | 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 |
| 248 | 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 |
| 249 | 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 |
| 250 | 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 |
| 251 | Lane Change Prediction for Autonomous Driving With Transferred Trajectory Interaction 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 |
| 252 | 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 |
| 253 | 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 |
| 254 | OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model IF:3 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 |
| 255 | 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 |
| 256 | AccidentSim: Generating Physically Realistic Vehicle Collision Videos from Real-World Accident Reports Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce AccidentSim, a novel framework that generates physically realistic vehicle collision videos by extracting and utilizing the physical clues and contextual information available in real-world vehicle accident reports. |
Xiangwen Zhang; Qian Zhang; Longfei Han; Qiang Qu; Xiaoming Chen; | arxiv-cs.CV | 2025-03-26 |
| 257 | Bandwidth Allocation for Cloud-Augmented Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We show that, for typical bandwidth levels, proposed techniques for cloud-augmented AV models take too long to transfer data, thus mostly falling back to the on-car models and resulting in no accuracy improvement. In this work, we show that realizing cloud-augmented AV models requires intelligent use of this scarce bandwidth, i.e. carefully allocating bandwidth across tasks and providing multiple data compression and model options. |
PETER SCHAFHALTER et. al. | arxiv-cs.RO | 2025-03-25 |
| 258 | 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 |
| 259 | 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 |
| 260 | 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 |
| 261 | 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 |
| 262 | 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 |
| 263 | 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 |
| 264 | Depth Matters: Multimodal RGB-D Perception for Robust Autonomous Agents Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this work, we demonstrate that augmenting RGB input with depth information significantly enhances our agents’ ability to predict steering commands compared to using RGB alone. |
Mihaela-Larisa Clement; Mónika Farsang; Felix Resch; Radu Grosu; | arxiv-cs.RO | 2025-03-20 |
| 265 | 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 |
| 266 | 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 |
| 267 | 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 |
| 268 | Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization Using Aerial Data Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Most learned localization methods rely on coarsely aligned ground truth, or implicit consistency-based methods to learn the localization task — however, in this paper we find that improving the alignment between aerial data and autonomous vehicle sensor data at training time is critical to the performance of a learning-based localization system. |
YI YANG et. al. | arxiv-cs.RO | 2025-03-18 |
| 269 | 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 |
| 270 | Diffusion-Based Planning for Autonomous Driving with Flexible Guidance IF:3 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 |
| 271 | 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 |
| 272 | 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 |
| 273 | 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 |
| 274 | 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 this paper, we propose a driving WorldModel named EOT-WM, unifying Ego-Other vehicle Trajectories in videos fordriving simulation. |
JIAN ZHU et. al. | arxiv-cs.CV | 2025-03-12 |
| 275 | 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 |
| 276 | 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 |
| 277 | 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 |
| 278 | 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 |
| 279 | 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 |
| 280 | 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 |
| 281 | 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 |
| 282 | 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 |
| 283 | 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 |
| 284 | 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 |
| 285 | 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 |
| 286 | 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 |
| 287 | A Novel Spatio-temporal Attention Mechanism Model for Car-following in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
QIRAN LI et. al. | Comput. Electr. Eng. | 2025-03-01 |
| 288 | 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 |
| 289 | 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 |
| 290 | On The Road to AIoT: A Framework for Vehicle Road Cooperation 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 |
| 291 | 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 |
| 292 | Vehicle Top Tag Assisted Vehicle-Road Cooperative Localization For Autonomous Public Buses Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accurate vehicle localization is indispensable to autonomous vehicles, but isdifficult to realize in complicated application scenarios. Intersectionscenarios that suffer from … |
Hao Li; Bo Liu; Linbin Wang; | arxiv-cs.RO | 2025-03-01 |
| 293 | 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 |
| 294 | 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 |
| 295 | 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 |
| 296 | 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 |
| 297 | 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 |
| 298 | 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 |
| 299 | End-to-End Autonomous Driving Through V2X Cooperation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this paper, we introduce UniV2X, a pioneering cooperative autonomous driving framework that seamlessly integrates all key driving modules across diverse views into a unified network. |
HAIBAO YU et. al. | aaai | 2025-02-25 |
| 300 | 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 |
| 301 | 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 |
| 302 | 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 |
| 303 | 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 |
| 304 | 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 |
| 305 | 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 |
| 306 | 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 |
| 307 | 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 |
| 308 | CurricuVLM: Towards Safe Autonomous Driving Via Personalized Safety-Critical Curriculum Learning with Vision-Language Models 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 |
| 309 | 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 |
| 310 | 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 |
| 311 | 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 |
| 312 | 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 |
| 313 | 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 |
| 314 | Autonomous Navigation Systems in GPS-Denied Environments: A Review of Techniques and Applications 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 |
| 315 | 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 |
| 316 | Safeguarding Connected Autonomous Vehicle Communication: Protocols, Intra- and Inter-vehicular Attacks and Defenses 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 |
| 317 | Kineto-Dynamical Planning and Accurate Execution of Minimum-Time Maneuvers on Three-Dimensional Circuits Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper,we present an artificial race driver (ARD) to learn the vehicle dynamics, planand execute minimum-time maneuvers on a 3D track. |
Mattia Piccinini; Sebastiano Taddei; Johannes Betz; Francesco Biral; | arxiv-cs.RO | 2025-02-05 |
| 318 | 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 |
| 319 | 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 |
| 320 | Reduce Lap Time for Autonomous Racing with Curvature-Integrated MPCC Local Trajectory Planning Method Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: However, the traditional MPCC method struggles with racetracks that have significant curvature changes, limiting the performance of the vehicle during autonomous racing. To address this issue, we propose a curvature-integrated MPCC (CiMPCC) local trajectory planning method for autonomous racing. |
Zhouheng Li; Lei Xie; Cheng Hu; Hongye Su; | arxiv-cs.RO | 2025-02-05 |
| 321 | From Accidents to Insights: Leveraging Multimodal Data for Scenario-Driven ADS Testing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces TRACE, a scenario-based ADS Test case Generation framework for Critical Scenarios. |
Siwei Luo; Yang Zhang; Yao Deng; Xi Zheng; | arxiv-cs.SE | 2025-02-04 |
| 322 | An Integrated Framework for Autonomous Driving Planning and Tracking Based on NNMPC Considering Road Surface Variations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The planning and control subsystem is essential to the autonomous driving system. The prevailing algorithmic architecture follows a hierarchical design: the planning subsystem … |
Zhenhai Gao; Wenhao Wen; Yang Xing; Antonios Tsourdos; | IEEE Transactions on Intelligent Vehicles | 2025-02-01 |
| 323 | 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 |
| 324 | Dynamic AI-Driven Network Slicing With O-RAN for Continuous Connectivity in Connected Vehicles and Onboard Consumer Electronics 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 |
| 325 | 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 |
| 326 | A Novel Design and Comparison for Connected Autonomous Vehicle Enabled Signal-Free Intersection Control Scheme Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Numerous efforts have been made to improve intersection operations under signal-free control enabled by connected autonomous vehicles (CAVs). However, vehicle crossing paths in … |
Liying Tang; Yugang Liu; Qianyi Zhang; Yikai Zeng; Meng Wang; | IEEE Transactions on Vehicular Technology | 2025-02-01 |
| 327 | 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 |
| 328 | 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 |
| 329 | Deep Imitation Learning for End-to-End Autonomous Driving: Integration of Carla and OpenAI Gym Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Traditional autonomous driving systems, structured with modular architectures, have achieved significant results in autonomous driving. However, delays and errors within each … |
Seongyeon Kim; Jongho Shin; | 2025 IEEE International Conference on Artificial … | 2025-01-27 |
| 330 | 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 |
| 331 | 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 |
| 332 | 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 |
| 333 | 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 |
| 334 | 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 |
| 335 | 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 |
| 336 | 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 |
| 337 | 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 |
| 338 | Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Third, we observe that reconstruction errors are most prominent when the camera view is nearly orthogonal to glass surfaces. To address this issue, we develop a quality-aware supervision module that adaptively leverages normal priors from a pre-trained large-scale normal model.Experimental results demonstrate that Car-GS achieves precise reconstruction of car surfaces and significantly outperforms prior methods. |
CONGCONG LI et. al. | arxiv-cs.CV | 2025-01-19 |
| 339 | 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 |
| 340 | 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 |
| 341 | 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 |
| 342 | Investigating The Impacts of Auditory and Visual Feedback in Advanced Driver Assistance Systems: A Pilot Study on Driver Behavior and Emotional Response 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 |
| 343 | Application of Vision-Language Models to Pedestrian Behavior Prediction and Scene Understanding in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vision-language models (VLMs) have become a promising approach to enhancing perception and decisionmaking in autonomous driving. The gap remains in applying VLMs to understand … |
Haoxiang Gao; Li Zhang; Yu Zhao; Zhou Yang; Jinghan Cao; | 2025 4th International Conference on Robotics, Artificial … | 2025-01-12 |
| 344 | 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 |
| 345 | Application of Vision-Language Model to Pedestrians Behavior and Scene Understanding in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a knowledgedistillation method that transfers knowledge from large-scale vision-languagefoundation models to efficient vision networks, and we apply it to pedestrianbehavior prediction and scene understanding tasks, achieving promising resultsin generating more diverse and comprehensive semantic attributes. |
Haoxiang Gao; Li Zhang; Yu Zhao; Zhou Yang; Jinghan Cao; | arxiv-cs.CV | 2025-01-11 |
| 346 | 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 |
| 347 | 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 |
| 348 | 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 |
| 349 | 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 |
| 350 | “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 |
| 351 | 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 |
| 352 | 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 |
| 353 | 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 |
| 354 | 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 |
| 355 | 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 |
| 356 | 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 |
| 357 | 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 |
| 358 | 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 |
| 359 | Quantum Computing for Advanced Driver Assistance Systems and Autonomous Vehicles: A Review 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 |
| 360 | An Efficient High-Risk Lane-Changing Scenario Edge Cases Generation Method for Autonomous Vehicle Safety Testing 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 |
| 361 | 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 |
| 362 | FlexiNet: An Adaptive Feature Synthesis Network for Real-Time Ego Vehicle Speed Estimation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Ego vehicle speed estimation is critical for autonomous driving and advanced driver-assistance systems (ADAS), but traditional methods often fail in accuracy and computational … |
Abdalrahaman Ibrahim; K. Kyamakya; Wolfgang Pointner; | IEEE Access | 2025-01-01 |
| 363 | 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 |
| 364 | 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 |
| 365 | 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 |
| 366 | 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 |
| 367 | 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 |
| 368 | Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the expansion of autonomous driving technology, autonomous racing has been actively studied in recent years. For safe autonomous racing, fast computation speed and wide … |
Na-young Lim; Tae-Hyoung Park; | IEEE Access | 2025-01-01 |
| 369 | 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 |
| 370 | Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle platooning, especially when dedicated to carrying goods, represents a forward-looking approach to optimizing logistics and freight transportation using autonomous … |
Mahzabeen Emu; Taufiq Rahman; Salimur Choudhury; Kai Salomaa; | IEEE Open Journal of the Computer Society | 2025-01-01 |
| 371 | 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 |
| 372 | 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 |
| 373 | 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 |
| 374 | 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 |
| 375 | Recent Advances in Federated Learning for Connected Autonomous Vehicles: Addressing Privacy, Performance, and Scalability Challenges 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 |
| 376 | 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 |
| 377 | 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 |
| 378 | 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 |
| 379 | 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 |
| 380 | Trajectory Planning for Autonomous Cars in Low-Structured and Unstructured Environments: A Systematic Review 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 |
| 381 | 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 |
| 382 | 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 |
| 383 | 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 |
| 384 | Research on Vehicle Detection Based on Improved YOLOv8 Network IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, the variability of the actual road environment and the diverse characteristics of vehicles and pedestrians together constitute a huge obstacle to improving detection accuracy, posing a serious challenge to the realization of this goal. To address the above issues, this paper proposes an improved YOLOv8 vehicle detection method. |
Haocheng Guo; Yaqiong Zhang; Lieyang Chen; Arfat Ahmad Khan; | arxiv-cs.CV | 2024-12-31 |
| 385 | 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 |
| 386 | 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 |
| 387 | 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 |
| 388 | 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 |
| 389 | 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 |
| 390 | 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 |
| 391 | 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 |
| 392 | Predicting Vehicle Impact Severity With Deep Neural Network for Reinforcement Learning Based Autonomous Vehicle Simulators Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Road accidents leads to a significant number of deaths in the world, with human error being attributed as one of the roots of the problem. One of the possible alternatives to … |
Martin Holen; Svitlana Rogovchenko; Gulshan Noorsumar; Morten Goodwin Olsen; | 2024 International Conference on Machine Learning and … | 2024-12-18 |
| 393 | 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 |
| 394 | 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 |
| 395 | 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 |
| 396 | 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 |
| 397 | 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 |
| 398 | 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 |
| 399 | 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 |
| 400 | 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 |
| 401 | 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 |
| 402 | 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 |
| 403 | 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 |
| 404 | 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 |
| 405 | 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 |
| 406 | 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 |
| 407 | Legal Aspects, Public Interest, and Legitimate Interest in Processing Personal Data to Operate Autonomous Car Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The UAE 2021 Data Protection Law (DPL) and the European Union’s GDPR are not just regulatory frameworks but groundbreaking attempts to regulate personal data management. They … |
Shuq Hussein; | 2024 25th International Arab Conference on Information … | 2024-12-10 |
| 408 | 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 |
| 409 | 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 |
| 410 | 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 |
| 411 | 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 |
| 412 | 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 |
| 413 | A Comparison of The Performance of ResNet and DenseNet for Obstacle Avoidance and Path Following on A Mobile Robot Using Embedded GPUs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In this study, we evaluated the performance of deep learning-based navigation models on an novel platform that combines the Jetson Xavier NX with an RC four-wheel-drive car for … |
Shengjun Ma; Pawan Sudhir Karkal; Jing Ma; Fakhrul Alam; | 2024 IEEE International Conference on Agents (ICA) | 2024-12-04 |
| 414 | 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 |
| 415 | 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 |
| 416 | HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the past few decades, autonomous driving algorithms have made significant progress in perception, planning, and control. However, evaluating individual components does not … |
HONGYU ZHOU et. al. | ArXiv | 2024-12-02 |
| 417 | 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 |
| 418 | 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 |
| 419 | Efficient Motion Control for Heterogeneous Autonomous Vehicle Platoon Using Multilayer Predictive Control Framework 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 |
| 420 | 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 |
| 421 | Creation and Verification of High-Definition Point Cloud Maps for Autonomous Vehicle Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: High-definition (HD) maps have recently become a key piece of technology in autonomous driving. Over the past few years, various methods and sensors, such as those based on … |
KAI-WEI CHIANG et. al. | IEEE Internet of Things Journal | 2024-12-01 |
| 422 | 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 |
| 423 | Advancements in Mixed Reality for Autonomous Vehicle Testing and Advanced Driver Assistance Systems: A Survey 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 |
| 424 | 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 |
| 425 | 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 |
| 426 | 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 |
| 427 | 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 |
| 428 | 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 |
| 429 | 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 |
| 430 | Toward 6G-V2X: Aggregated RF-VLC for Ultra-Reliable and Low-Latency Autonomous Driving 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 |
| 431 | 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 |
| 432 | 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 |
| 433 | 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 |
| 434 | 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 |
| 435 | 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 |
| 436 | 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 |
| 437 | 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 |
| 438 | 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 |
| 439 | LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This results in the loss of critical details and the difficulty in effectively integrating spatial and temporal information, undermining fine-grained perception and temporal coherence essential for effective decision-making. To tackle these challenges, we introduce LaVida Drive, a novel and efficient VQA framework for autonomous driving. |
Siwen Jiao; Yangyi Fang; Baoyun Peng; Wangqun Chen; Bharadwaj Veeravalli; | arxiv-cs.CV | 2024-11-19 |
| 440 | Multilayer Occupancy Grid for Obstacle Avoidance in An Autonomous Ground Vehicle Using RGB-D Camera Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This work describes the process of integrating a depth camera into the navigation system of a self-driving ground vehicle (SDV) and the implementation of a multilayer costmap that enhances the vehicle’s obstacle identification process by expanding its two-dimensional field of view, based on 2D LIDAR, to a three-dimensional perception system using an RGB-D camera. |
Jhair S. Gallego; Ricardo E. Ramirez; | arxiv-cs.RO | 2024-11-19 |
| 441 | 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 |
| 442 | 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 |
| 443 | V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, to bridge the gap created by the absence of 4D Radar datasets in cooperative perception, we present V2X-Radar, the first large-scale, real-world multi-modal dataset featuring 4D Radar. |
LEI YANG et. al. | arxiv-cs.CV | 2024-11-16 |
| 444 | Explanation for Trajectory Planning Using Multi-modal Large Language Model for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, the existing approaches generate reasoning text that inadequately reflects the future plans of the ego vehicle, because they train models to output captions using momentary control signals as inputs. In this study, we propose a reasoning model that takes future planning trajectories of the ego vehicle as inputs to solve this limitation with the dataset newly collected. |
SHOTA YAMAZAKI et. al. | arxiv-cs.CV | 2024-11-15 |
| 445 | AUTONOMY MODELING AND VALIDATION IN A HIGHLY UNCERTAIN ENVIRONMENT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper describes a simulation model for autonomous vehicles operating in highly uncertain environments. Two elements of uncertainty are studied – … |
Hesham Alghodhaifi; S. Lakshmanan; Stanley S. Baek; P. Richardson; | SAE Technical Paper Series | 2024-11-15 |
| 446 | 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 |
| 447 | 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 |
| 448 | 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 |
| 449 | 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 |
| 450 | 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 |
| 451 | 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 |
| 452 | 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 |
| 453 | 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 |
| 454 | 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 |
| 455 | 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 |
| 456 | 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 |
| 457 | The Impact of Auditory Warning Types and Emergency Obstacle Avoidance Takeover Scenarios on Takeover Behavior Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Auditory signals are crucial in Level 3 autonomous vehicle takeovers, complementing visual information and reducing the demand on visual attention. This study investigated the … |
Xuenan Li; Zhaoyang Xu; | Proceedings of the 26th International Conference on … | 2024-11-04 |
| 458 | 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 |
| 459 | Boosting Collaborative Vehicular Perception on The Edge with Vehicle-to-Vehicle Communication 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 |
| 460 | 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 |
| 461 | Human–Machine Shared Control for Industrial Vehicles: A Personalized Driver Behavior Recognition and Authority Allocation Scheme 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 |
| 462 | 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 |
| 463 | 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 |
| 464 | 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 |
| 465 | An Assignment Method for Multiple Extended Target Tracking With Azimuth Ambiguity Based on Pseudo Measurement Set Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicle technology is rapidly becoming the driving force in the automobile industry. As such, the interest in high-resolution radio detection and ranging (radar) for … |
Ming Chen; R. Tharmarasa; T. Kirubarajan; Sunil Chomal; | IEEE Transactions on Intelligent Transportation Systems | 2024-11-01 |
| 466 | 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 |
| 467 | 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 |
| 468 | 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 |
| 469 | 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 |
| 470 | 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 |
| 471 | 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 |
| 472 | 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 |
| 473 | 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 |
| 474 | 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 |
| 475 | A Vision-Based Robust $\mathcal {H_\infty }$ Gain Scheduling Longitudinal and Lateral Following Controller for Autonomous Vehicles on Urban Curved Roads Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Implementing advanced driver assistance systems (ADAS) in congested and intricate urban traffic scenarios poses significant challenges. To address the frequent stop-and-go motions … |
RUIQI FANG et. al. | IEEE Transactions on Intelligent Vehicles | 2024-11-01 |
| 476 | 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 |
| 477 | 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 |
| 478 | 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 |
| 479 | YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems IF:3 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 |
| 480 | 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 |
| 481 | 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 |
| 482 | 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 |
| 483 | 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 |
| 484 | 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 |
| 485 | 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 |
| 486 | Efficient Mixture-of-Expert for Video-based Driver State and Physiological Multi-task Estimation in Conditional Autonomous Driving 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 |
| 487 | 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 |
| 488 | 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 |
| 489 | 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 |
| 490 | Foundation Models for Rapid Autonomy Validation Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To address scalability and coverage, we propose the use of a behavior foundation model, specifically a masked autoencoder (MAE), trained to reconstruct driving scenarios. |
Alec Farid; Peter Schleede; Aaron Huang; Christoffer Heckman; | arxiv-cs.RO | 2024-10-22 |
| 491 | 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 |
| 492 | 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 |
| 493 | 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 |
| 494 | 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 |
| 495 | 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 |
| 496 | 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 |
| 497 | 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 |
| 498 | 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 |
| 499 | 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 |
| 500 | 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 |
| 501 | BuzzRacer: A Palm-sized Autonomous Vehicle Platform for Testing Multi-Agent Adversarial Decision-Making Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: We present BuzzRacer, a palm-sized autonomous vehicle platform suitable for multi-agent autonomous racing. BuzzRacer consists of two parts. First, a software framework with … |
Zhiyuan Zhang; P. Tsiotras; | 2024 IEEE/RSJ International Conference on Intelligent … | 2024-10-14 |
| 502 | Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces an advanced intrusion detection system (IDS) called KD-XVAE that uses a Variational Autoencoder (VAE)-based knowledge distillation approach to enhance both performance and efficiency. |
Muhammet Anil Yagiz; Pedram MohajerAnsari; Mert D. Pese; Polat Goktas; | arxiv-cs.CR | 2024-10-11 |
| 503 | 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 |
| 504 | RGM: Reconstructing High-fidelity 3D Car Assets with Relightable 3D-GS Generative Model from A Single Image Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: As a result, the generated assets are unsuitable for relighting under varying lighting conditions, limiting their applicability in downstream tasks. To address this challenge, we propose a novel relightable 3D object generative framework that automates the creation of 3D car assets, enabling the swift and accurate reconstruction of a vehicle’s geometry, texture, and material properties from a single input image. |
XIAOXUE CHEN et. al. | arxiv-cs.CV | 2024-10-10 |
| 505 | 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 |
| 506 | 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 |
| 507 | 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 |
| 508 | 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 |
| 509 | 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 |
| 510 | 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 |
| 511 | Generation of V2X Messages from Carla Simulator for Cooperative Perception: Application to Pedestrian Safety Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Despite advancements in connected and autonomous vehicles (CAVs), vulnerable road users (VRUs) face a challenge as they lack Communication-Intelligent Transport System (C-ITS) … |
J. Grosset; Jean-Marie Bonnin; Alain-Jérôme Fougères; Manabu Tsukada; M. Djoko-Kouam; | 2024 IEEE 100th Vehicular Technology Conference … | 2024-10-07 |
| 512 | 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 |
| 513 | 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 |
| 514 | 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 |
| 515 | 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 |
| 516 | 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 |
| 517 | 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 |
| 518 | 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 |
| 519 | 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 |
| 520 | 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 |
| 521 | 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 |
| 522 | 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 |
| 523 | Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Safety is one of the critical challenges in the autonomous driving task. Recent works address the safety by implementing a safe reinforcement learning (safe RL) mechanism. … |
Zhengran Zhang; Qi Liu; Yanjie Li; Ke Lin; Linyu Li; | IEEE Transactions on Intelligent Transportation Systems | 2024-10-01 |
| 524 | 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 |
| 525 | 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 |
| 526 | 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 |
| 527 | 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 |
| 528 | 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 |
| 529 | 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 |
| 530 | 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 |
| 531 | 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 |
| 532 | 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 |
| 533 | 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 |
| 534 | 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 |
| 535 | Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we improve the reliability of agent behaviors by closed-loop fine-tuning of behavior models with reinforcement learning. |
ZHENGHAO PENG et. al. | arxiv-cs.AI | 2024-09-26 |
| 536 | 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 |
| 537 | 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 |
| 538 | 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 |
| 539 | 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 |
| 540 | 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 |
| 541 | 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 |
| 542 | 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 |
| 543 | 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 |
| 544 | 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 |
| 545 | 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 |
| 546 | 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 |
| 547 | 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 |
| 548 | 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 |
| 549 | 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 |
| 550 | 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 |
| 551 | 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 |
| 552 | 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 |
| 553 | 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 |
| 554 | Enhancing Safety in Autonomous Vehicles Through Advanced AI-Driven Perception and Decision-Making Systems 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 |
| 555 | 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 |
| 556 | SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To this end, we propose a CAV decision-making architecture based on transformer and reinforcement learning algorithms. |
Ye Han; Lijun Zhang; Dejian Meng; Xingyu Hu; Yixia Lu; | arxiv-cs.AI | 2024-09-23 |
| 557 | 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 |
| 558 | 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 |
| 559 | 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 |
| 560 | 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 |
| 561 | 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 |
| 562 | 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 |
| 563 | A Comprehensive Survey of PID and Pure Pursuit Control Algorithms for Autonomous Vehicle Navigation 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 |
| 564 | ‘Talking with Your Car’: Design of Human-Centered Conversational AI in Autonomous Vehicles 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 |
| 565 | 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 |
| 566 | 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 |
| 567 | 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 |
| 568 | 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 |
| 569 | 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 |
| 570 | Distributed Learning in Intelligent Transportation Systems: A Survey 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 |
| 571 | 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 |
| 572 | 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 |
| 573 | 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 |
| 574 | 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 |
| 575 | Mutual Benefit: The Case for Sharing Autonomous Vehicle Data with The Public Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The data generated from these tests represent an essential competitive element for the respective companies moving this technology forward. In this paper, we argue for the normative idea that a part of this data should more explicitly benefit the general public by sharing it through a trusted entity as a form of compensation and control for the communities that are being experimented upon. |
DAVID GOEDICKE et. al. | arxiv-cs.CY | 2024-09-02 |
| 576 | 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 |
| 577 | 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 |
| 578 | 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 |
| 579 | 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 |
| 580 | 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 |
| 581 | 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 |
| 582 | Knowledge Distillation-Based Edge-Decision Hierarchies for Interactive Behavior-Aware Planning in Autonomous Driving System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Interactive behavior-aware planning benefits from the hierarchical learning process when adapting to dense traffic. However, the difficulty in the Intelligent Transportation … |
Zhiming Hong; Qing Lin; Bo Hu; | IEEE Transactions on Intelligent Transportation Systems | 2024-09-01 |
| 583 | Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, existing methods neglect the potential missing values caused by object occlusion, perception failures, etc., which inevitably degrades the trajectory prediction performance in real traffic scenarios. To address this limitation, we propose a novel end-to-end framework for incomplete vehicle trajectory prediction, named Multi-scale Temporal Fusion Transformer (MTFT), which consists of the Multi-scale Attention Head (MAH) and the Continuity Representation-guided Multi-scale Fusion (CRMF) module. |
ZHANWEN LIU et. al. | arxiv-cs.CV | 2024-09-01 |
| 584 | 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 |
| 585 | 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 |
| 586 | 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 |
| 587 | 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 |
| 588 | 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 |
| 589 | 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 |
| 590 | 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 |
| 591 | 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 |
| 592 | 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 |
| 593 | 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 |
| 594 | A Safe Self-evolution Algorithm for Autonomous Driving Based on Data-Driven Risk Quantification Model 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 |
| 595 | 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 |
| 596 | 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 |
| 597 | 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 |
| 598 | 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 |
| 599 | 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 |
| 600 | 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 |
| 601 | 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 |
| 602 | 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 |
| 603 | 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 |
| 604 | 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 |
| 605 | 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 |
| 606 | 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 |
| 607 | 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 |
| 608 | 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 |
| 609 | 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 |
| 610 | 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 |
| 611 | 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 |
| 612 | VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Motivated by the emergent reasoning capabilities of Vision Language Models (VLMs) and their potential to improve the comprehensibility of autonomous driving systems, this paper introduces a closed-loop autonomous driving controller called VLM-MPC, which combines the Model Predictive Controller (MPC) with VLM to evaluate how model-based control could enhance VLM decision-making. |
Keke Long; Haotian Shi; Jiaxi Liu; Xiaopeng Li; | arxiv-cs.RO | 2024-08-08 |
| 613 | 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 |
| 614 | 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 |
| 615 | 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 |
| 616 | 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 |
| 617 | 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 |
| 618 | 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 |
| 619 | 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 |
| 620 | Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Subsequently, we modified the KITTI dataset based on the backscattering coefficient values and trained it on the PV-RCNN++ deep neural network model for Car, Cyclist, and Pedestrian cases under different detection difficulties. |
Ajinkya Shinde; Gaurav Sharma; Manisha Pattanaik; Sri Niwas Singh; | arxiv-cs.CV | 2024-08-02 |
| 621 | 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 |
| 622 | Game-Theoretic Decision-Making Method and Motion Planning for Autonomous Vehicles in Overtaking 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 |
| 623 | Leveraging Driver Attention for An End-to-End Explainable Decision-Making From Frontal Images 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 |
| 624 | 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 |
| 625 | An Integrated Vision-Based Perception and Control for Lane Keeping of Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes a vision-based control method for autonomous vehicle lane keeping. This paper aims to provide a reliable alternative solution for localization and path … |
Tesfamichael Getahun; A. Karimoddini; | IEEE Transactions on Intelligent Transportation Systems | 2024-08-01 |
| 626 | Longitudinal Control of Automated Vehicles: A Novel Approach By Integrating Deep Reinforcement Learning With Intelligent Driver Model 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 |
| 627 | SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Here, by utilizing vision-language model (VLM), we proposed an e2eAD method called SimpleLLM4AD. |
Peiru Zheng; Yun Zhao; Zhan Gong; Hong Zhu; Shaohua Wu; | arxiv-cs.CV | 2024-07-30 |
| 628 | Haptic Feedback of Front Car Motion Can Improve Driving Control Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study investigates the role of haptic feedback in a car-following scenario, where information about the motion of the front vehicle is provided through a virtual elastic connection with it. |
Xiaoxiao Cheng; Xianzhe Geng; Yanpei Huang; Etienne Burdet; | arxiv-cs.RO | 2024-07-29 |
| 629 | 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 |
| 630 | 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 |
| 631 | Deep Learning Application for Vehicle Detection Through Surveillance Drones Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle detection plays an essential role in a variety of real-world applications, including autonomous driving, traffic surveillance, and management. This research work … |
Abeer Ilyas; Imama Rahmani; Sukaina Imran; Tufail Sajjad Shah Hashmi; Muhammad Nadeem Yousaf; | 2024 International Conference on Electrical, Computer and … | 2024-07-25 |
| 632 | 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 |
| 633 | 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 |
| 634 | 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 |
| 635 | 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 |
| 636 | $μ$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 |
| 637 | 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 |
| 638 | 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 |
| 639 | 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 |
| 640 | 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 |
| 641 | 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 |
| 642 | 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 |
| 643 | 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 |
| 644 | Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a novel approach to Autonomous Vehicle (AV) control through the application of active inference, a theory derived from neuroscience that conceptualizes the brain as a predictive machine. |
Elahe Delavari; John Moore; Junho Hong; Jaerock Kwon; | arxiv-cs.RO | 2024-07-10 |
| 645 | 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 |
| 646 | 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 |
| 647 | 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 |
| 648 | 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 |
| 649 | 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 |
| 650 | 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 |
| 651 | 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 |
| 652 | 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 |
| 653 | JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, gathering data that include crucial but rare scenarios – such as pedestrians jaywalking into heavy traffic – can be costly and unsafe to collect. We propose a virtual reality human-in-the-loop simulator, JaywalkerVR, to obtain vehicle-pedestrian interaction data to address these challenges. |
Kenta Mukoya; Erica Weng; Rohan Choudhury; Kris Kitani; | arxiv-cs.RO | 2024-07-05 |
| 654 | 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 |
| 655 | Enhancing Autonomous Driving Navigation Using Soft Actor-Critic 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 |
| 656 | Behavioural Gap Assessment of Human-vehicle Interaction in Real and Virtual Reality-based Scenarios in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we present a first and innovative approach to evaluating what we term the behavioural gap, a concept that captures the disparity in a participant’s conduct when engaging in a VR experiment compared to an equivalent real-world situation. |
Sergio. Martín Serrano; Rubén Izquierdo; Iván García Daza; Miguel Ángel Sotelo; D. Fernández Llorca; | arxiv-cs.HC | 2024-07-04 |
| 657 | 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 |
| 658 | 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 |
| 659 | 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 |
| 660 | An Edge Computing-Based Autonomous Vehicle Group Cooperation Model in A Highway Scene Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Most existing research on autonomous vehicle groups mainly focuses on semi-centralized network control, without considering computational difficulties caused by the increasing … |
Qichao Mao; Jiujun Cheng; MengChu Zhou; Shangce Gao; Shoufei Han; | IEEE Transactions on Vehicular Technology | 2024-07-01 |
| 661 | A Comprehensive Survey on High-Definition Map Generation and Maintenance 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 |
| 662 | 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 |
| 663 | 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 |
| 664 | An Integrated Framework of Lateral and Longitudinal Behavior Decision-Making for Autonomous Driving Using Reinforcement Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Lateral lane-changing and longitudinal car-following behavior decision-making is crucial for the implementation of autonomous driving (AD) in complex and dynamic traffic … |
HAOYUAN NI et. al. | IEEE Transactions on Vehicular Technology | 2024-07-01 |
| 665 | 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 |
| 666 | 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 |
| 667 | 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 |
| 668 | 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 |
| 669 | 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 |
| 670 | 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 |
| 671 | 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 |
| 672 | 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 |
| 673 | 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 |
| 674 | 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 |
| 675 | 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 |
| 676 | 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 |
| 677 | 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 |
| 678 | 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 |
| 679 | 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 |
| 680 | A Rule-Based Behaviour Planner for Autonomous Driving 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 |
| 681 | 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 |
| 682 | 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 |
| 683 | 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 |
| 684 | Factors, Prediction, and Explainability of Vehicle Accident Risk Due to Driving Behavior Through Machine Learning: A Systematic Literature Review, 2013-2023 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 |
| 685 | 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 |
| 686 | 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 |
| 687 | 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 |
| 688 | 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 |
| 689 | 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 |
| 690 | Game-Theoretic Model Predictive Control for Safety-Assured Autonomous Vehicle Overtaking in Mixed-Autonomy Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This work proposes a robust control strategy for an autonomous vehicle to overtake safely and comfortably a human-driven vehicle. The proposed scheme designs a collision-avoidance … |
Shengbin Yu; Boli Chen; Imad M. Jaimoukha; S. Evangelou; | 2024 European Control Conference (ECC) | 2024-06-25 |
| 691 | 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 |
| 692 | 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 |
| 693 | Task Offloading for MEC-V2X Assisted Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Mobile edge computing (MEC) and vehicle-to-everything (V2X) communications are two promising technics to support delay-sensitive applications for autonomous driving. In this … |
Yilun Zhang; Changrun Chen; Huiling Zhu; Jiangzhou Wang; | 2024 IEEE 99th Vehicular Technology Conference … | 2024-06-24 |
| 694 | 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 |
| 695 | 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 |
| 696 | 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 |
| 697 | 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 |
| 698 | 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 |
| 699 | 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 |
| 700 | Conclave – Secure and Robust Cooperative Perception for Connected Autonomous Vehicle 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; | Proceedings of the 61st ACM/IEEE Design Automation … | 2024-06-23 |
| 701 | 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 |
| 702 | 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 |
| 703 | 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 |
| 704 | 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 |
| 705 | 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 |
| 706 | 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 |
| 707 | A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces, to the best of our knowledge, the first super-human car racing agent whose sensor input is purely local to the car, namely pixels from an ego-centric camera view and quantities that can be sensed from on-board the car, such as the car’s velocity. |
MIGUEL VASCO et. al. | arxiv-cs.LG | 2024-06-18 |
| 708 | Forward Collision Avoidance Using A Monocular Camera Based on ROS2 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The automotive industry is rapidly transitioning from hardware-centric to software-centric vehicular architecture, Software-Defined Vehicles (SDVs) to address existing complex $E … |
Eun Ho Kim; Si-Woo Lee; J. Jeon; | 2024 IEEE 33rd International Symposium on Industrial … | 2024-06-18 |
| 709 | 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 |
| 710 | ROS2 Implementation of Object Detection and Distance Estimation Using Camera and 2D LiDAR Fusion in Autonomous Vehicle 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 |
| 711 | Crossfusor: A Cross-Attention Transformer Enhanced 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), enhancing road safety and traffic efficiency. While … |
JUNWEI YOU et. al. | ArXiv | 2024-06-17 |
| 712 | Onward and Autonomously: Expanding The Horizon of Image Segmentation for Self-Driving Cars Through Machine Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous navigation is the leading technology in current era, in this intelligent traffic light, sign detection, ADAS and obstacle detections were playing major role. Image … |
Raviteja Tirumalapudi; Nanda Kumar M; Sirisha J; | Scalable Comput. Pract. Exp. | 2024-06-16 |
| 713 | Autonomous Vehicle Safety Through The SIFT Method: A Conceptual Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study aims to provide a conceptual analysis of the dynamic transformations occurring in an autonomous vehicle (AV), placing a specific emphasis on the safety implications for … |
Muhammad Anshari; M. Almunawar; Masairol Masri; Norma Latif Fitriyani; Muhammad Syafrudin; | Inf. | 2024-06-15 |
| 714 | Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Artificial intelligence (AI) systems of autonomous systems such as drones, robots and self-driving cars may consume up to 50% of the total power available onboard, thereby … |
A. H. Abbas; Hend Abdel-Ghani; I. S. Maksymov; | ArXiv | 2024-06-14 |
| 715 | Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Such information could lead to transformative enhancements in autonomous vehicles’ perception, prediction, and planning capabilities. To bridge this gap, in collaboration with the self-driving company May Mobility, we present the MARS dataset which unifies scenarios that enable MultiAgent, multitraveRSal, and multimodal autonomous vehicle research. |
YIMING LI et. al. | arxiv-cs.CV | 2024-06-13 |
| 716 | Physical 3D Adversarial Attacks Against Monocular Depth Estimation in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Previous physical attacks against MDE models rely on 2D adversarial patches so they only affect a small localized region in the MDE map but fail under various viewpoints. To address these limitations we propose 3D Depth Fool (3D^2Fool) the first 3D texture-based adversarial attack against MDE models. |
JUNHAO ZHENG et. al. | cvpr | 2024-06-13 |
| 717 | MSU-4S – The Michigan State University Four Seasons Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper we present the Michigan State University Four Seasons (MSU-4S) Dataset which contains real-world collections of autonomous vehicle data from varied types of driving scenarios. |
DANIEL KENT et. al. | cvpr | 2024-06-13 |
| 718 | LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Large Language Models (LLMs) have demonstrated impressive reasoning capabilities showing potential to bridge this gap. In this paper we present LaMPilot a novel framework that integrates LLMs into AD systems enabling them to follow user instructions by generating code that leverages established functional primitives. |
YUNSHENG MA et. al. | cvpr | 2024-06-13 |
| 719 | Driving Everywhere with Large Language Model Policy Adaptation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper we present LLaDA a simple yet powerful tool that enables human drivers and autonomous vehicles alike to drive everywhere by adapting their tasks and motion plans to traffic rules in new locations. |
BOYI LI et. al. | cvpr | 2024-06-13 |
| 720 | UruBots Autonomous Car Team Two: Team Description Paper for FIRA 2024 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes a mini autonomous car to be used by the team UruBots for the 2024 FIRA Autonomous Cars Race Challenge. |
WILLIAM MORAES et. al. | arxiv-cs.RO | 2024-06-12 |
| 721 | UruBots Autonomous Cars Team One Description Paper for FIRA 2024 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This document presents the design of an autonomous car developed by the UruBots team for the 2024 FIRA Autonomous Cars Race Challenge. |
PABLO MORAES et. al. | arxiv-cs.RO | 2024-06-12 |
| 722 | Utilizing Navigation Paths to Generate Target Points for Enhanced End-to-End Autonomous Driving Planning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces NTT (Navigation to Target for Trajectory planning), a method within an end-to-end framework for autonomous driving. |
Yuanhua Shen; Jun Li; | arxiv-cs.RO | 2024-06-12 |
| 723 | A Fault Detection and Isolation Scheme for Autonomous Car Vehicle Subjected to Uncertainties and External Disturbance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This work aims to enhance the reliability and safety of intelligent transportation vehicles through an integrated system of control and diagnostics. Specifically, a Fault … |
Alessia Ferraro; C. D. Capua; | 2024 32nd Mediterranean Conference on Control and … | 2024-06-11 |
| 724 | Impact of An Autonomous Shuttle Service on Urban Road Capacity: Experiments By Microscopic Traffic Simulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles are expected to transform transportation systems with rapid technological advancement. Human mobility would become more accessible and safer with the emergence … |
Sudipta Roy; Bat-hen Nahmias-Biran; Samiul Hasan; | ArXiv | 2024-06-11 |
| 725 | Explainable Edge Computing in A Distributed AI – Powered Autonomous Vehicular Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the ever-dynamic landscape of autonomy and un-paralleled intelligence, the vehicles moving across any geospatial terrain create an Artificial Intelligence (AI)-powered … |
Palvi Mahajan; G. Aujla; C. R. Krishna; | 2024 IEEE International Conference on Communications … | 2024-06-09 |
| 726 | A Superalignment Framework in Autonomous Driving with Large Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Despite its importance, the security aspect of LLMs in autonomous driving remains underexplored. Addressing this gap, our research introduces a novel security framework for autonomous vehicles, utilizing a multi-agent LLM approach. |
Xiangrui Kong; Thomas Braunl; Marco Fahmi; Yue Wang; | arxiv-cs.RO | 2024-06-09 |
| 727 | Toward Autonomous Driving By Musculoskeletal Humanoids: A Study of Developed Hardware and Learning-Based Software Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper summarizes an autonomous driving project by musculoskeletal humanoids. |
KENTO KAWAHARAZUKA et. al. | arxiv-cs.RO | 2024-06-08 |
| 728 | Evaluation of Radio Access Protocols for V2X in 6G Scenario-Based Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The expansion of mobile connectivity with the arrival of 6G paves the way for the new Internet of Verticals (6G-IoV), benefiting autonomous driving. This article highlights the … |
Héctor Orrillo; André Sabino; Mário Marques da Silva; | Future Internet | 2024-06-06 |
| 729 | Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this research, we innovatively combine RLHF and LLMs to enhance autonomous driving safety. |
Yuan Sun; Navid Salami Pargoo; Peter J. Jin; Jorge Ortiz; | arxiv-cs.AI | 2024-06-06 |
| 730 | Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a case study on the validation of an in-house developed SIL simulation toolchain. |
Zhennan Fei; Mikael Andersson; Andreas Tingberg; | arxiv-cs.SE | 2024-06-05 |
| 731 | Real-time Motion Planning for Autonomous Vehicles in Dynamic Environments IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, one of the critical challenges in autonomous vehicle operation is trajectory planning, especially in dynamic environments with moving obstacles. This research aims to tackle this challenge by proposing a robust algorithm tailored for autonomous cars operating in dynamic environments with moving obstacles. |
MOHAMMAD DEHGHANI TEZERJANI et. al. | arxiv-cs.RO | 2024-06-05 |
| 732 | Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Recent work on these models proposes training robust online mapping systems using low quality map priors with synthetic perturbations in an attempt to simulate out-of-date HD map priors. In this paper, we investigate how models trained on these synthetically perturbed map priors generalize to performance on deployment-scale, real world map changes. |
SAMUEL M. BATEMAN et. al. | arxiv-cs.RO | 2024-06-04 |
| 733 | Predictive Braking on A Nonplanar Road Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present an approach for predictive braking of a four-wheeled vehicle on a nonplanar road. |
Thomas Fork; Francesco Camozzi; Xiao-Yu Fu; Francesco Borrelli; | arxiv-cs.RO | 2024-06-03 |
| 734 | Poster: Fast Field-of-View Expansion for Collaborative Object Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As interest in autonomous driving and advanced driver-assistance systems (ADAS) has grown, various sensing technologies have been developed to accurately determine the position … |
Junhyeong Ryu; Jeongyeup Paek; | Proceedings of the 22nd Annual International Conference on … | 2024-06-03 |
| 735 | Driving The Future: Addressing Generational Trust and Ownership Barriers in The Adoption of Connected and Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advent of Connected and Autonomous Vehicles (CAVs) promises a transformative shift in transport, ushering in an era of shared mobility and interconnectedness. However, recent … |
Clare Mutzenich; Fergus McVey; Ceiré Martin; Claire Harding; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 736 | V2V Based Visual Cooperative Perception for Connected Autonomous Vehicles: Far-Sight and See-Through Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Perception serves as the vital cornerstone of autonomous driving system, influencing the decision-making and control performance of vehicles. The rich semantic color information … |
Yuanyuan Zha; ShangGuan Wei; Linguo Chai; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 737 | Analyzing The Impact of Simulation Fidelity on The Evaluation of Autonomous Driving Motion Control Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Simulation is crucial in the development of autonomous driving software. In particular, assessing control algorithms requires an accurate vehicle dynamics simulation. However, … |
Simon Sagmeister; Panagiotis Kounatidis; Sven Goblirsch; Markus Lienkamp; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 738 | Drifting with Unknown Tires: Learning Vehicle Models Online with Neural Networks and Model Predictive Control Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicle controllers capable of drifting can improve safety in dynamic emergency situations. However, drifting involves operating at high sideslip angles, which is a … |
Nan Ding; Michael Thompson; James Dallas; Jonathan Y.M. Goh; John Subosits; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 739 | Homotopic Optimization for Autonomous Vehicle Maneuvering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Optimization of vehicle maneuvers using dynamic models in constrained spaces is challenging. Homotopic optimization, which has shown success for vehicle maneuvers with kinematic … |
Jian Zhou; Arvind Balachandran; Björn Olofsson; Lars Nielsen; Erik Frisk; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 740 | Data-Driven Trajectory Tracking Control Algorithm Design for Fast Migration to Different Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Deploying a certain trajectory tracking control algorithm to a different autonomous vehicle is time-consuming as most control parameters need to be fine-tuned, which necessitates … |
YUEMING CAO et. al. | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 741 | A LiDAR-based Approach to Autonomous Racing with Model-free Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper explores the use of reinforcement learning (RL) in the context of autonomous vehicle racing, specifically focusing on the F1TENTH simulation platform. While commercial … |
Máté Hell; Gergely Hajgató; Ármin Bogár-Németh; Gergely Bári; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 742 | AutoKU: An Autonomous Driving System Design for The World’s First Mass-Produced Vehicle in Multi-Vehicle Racing Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The development of autonomous vehicles has been accelerating, marked by a variety of competitions that challenge teams with diverse missions. Recently, racing-based autonomous … |
YUSEUNG NA et. al. | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 743 | Motion Control of Autonomous Vehicle with Domain-Centralized Electronic and Electrical Architecture Based on Predictive Reinforcement Learning Control Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: High-level autonomous vehicles and domain-based electronic and electrical (E/E) architectures are important development directions of the intelligent automobile industry. The … |
Guodong Du; Yuan Zou; Xudong Zhang; Kaiyu Zhao; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 744 | Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with The CommonRoad Motion Planning Framework Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Validating motion planning algorithms for autonomous vehicles on a real system is essential to improve their safety in the real world. Open-source initiatives, such as Autoware, … |
Gerald W¨ursching; Tobias Mascetta; Yuanfei Lin; Matthias Althoff; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 745 | A Review on Scenario Generation for Testing Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving holds great potential for reducing traffic accidents. Despite many advancements in autonomous vehicle functions, challenges persist in assessing their safety. … |
Jinkang Cai; Shichun Yang; Haoran Guang; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 746 | Self-configuring Motion Planner for Automated Vehicles Based on Human Driving Styles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Automated vehicles are expected to enter the market in the coming years. To achieve this goal, it is essential to develop vehicles that prioritize both safety and reliability, but … |
Juan Felipe Medina Lee; Antonio Artuñedo; Jorge Godoy; Vinicius Trentin; J. Villagra; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 747 | Examining The Role of Driver Perception in Takeover Time: Application of Task-Capability Interface Theory Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Conditionally automated driving enables drivers to engage in non-driving-related activities, with the responsibility to take over vehicle control upon request. This takeover … |
Kexin Liang; Simeon C. Calvert; S. Nordhoff; Hans van Lint; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 748 | Incremental Learning-Based Real-Time Trajectory Prediction for Autonomous Driving Via Sparse Gaussian Process Regression Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the context of spatial-temporal autonomous driving, the accurate and real-time trajectory prediction of the surrounding vehicle (SV) is crucial. This paper aims to design an … |
Haichao Liu; Kai Chen; Jun Ma; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 749 | Debunking The Myth of High Consumption: Power Realities in Autonomous Vehicles* Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The ongoing shift towards electric vehicles and the simultaneous integration of sensor, computing and communication systems for automated driving pose challenges for the interplay … |
Marc Guerreiro Augusto; Jonas Benjamin Krug; Benjamin Acar; F. Sivrikaya; S. Albayrak; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 750 | Safety Driver Attention on Autonomous Vehicle Operation Based on Head Pose and Vehicle Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Despite the continual advances in Advanced Driver Assistance Systems (ADAS) and the development of high-level autonomous vehicles (AV), there is a consensus that for the short to … |
S. G. KONRAD et. al. | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 751 | ICOP: Image-based Cooperative Perception for End-to-End Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With cutting-edge sensors and learning algorithms developed for vehicular perception, breakthrough advancements have been made in the perception-based end-to-end autonomous … |
L. Li; Yujie Cheng; Chen Sun; Wenqi Zhang; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 752 | A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper focuses on a comprehensive survey of radar-vision (RV) fusion based on deep learning methods for 3D object detection in autonomous driving. |
Di Wu; Feng Yang; Benlian Xu; Pan Liao; Bo Liu; | arxiv-cs.CV | 2024-06-02 |
| 753 | PedAnalyze – Pedestrian Behavior Annotator and Ontology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Developing safer autonomous vehicles necessitates extensive testing of pedestrian behavior, particularly in atypical situations. Existing datasets lack consistent annotations, … |
TAORUI HUANG et. al. | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 754 | Point Cloud Automatic Annotation Framework for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In autonomous driving systems, infrastructure LiDAR technology provides advanced point cloud information of the road, allowing for preemptive analysis, which increases … |
Chaoran Zhao; Bo Peng; Takuya Azumi; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 755 | Enhanced Multimodal Trajectory Prediction for Autonomous Vehicles Using Advanced Diffusion Model Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle trajectory prediction is crucial for ensuring the safety and reliability of autonomous driving systems. Due to the highly stochastic nature of road participants’ … |
SONG LIAN et. al. | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 756 | Uncertainty-aware Sensor Data Anomaly Detection for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles have stridden over the budding stage and are stepping into the phase of large-scale commercial deployment. Nonetheless, safety issues of autonomous driving … |
SHIXIANG CHEN et. al. | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 757 | Independent Near-Field Monitoring: A Novel Approach to Improve Active Safety in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper introduces an innovative near-field monitoring system designed to enhance the active safety features of autonomous vehicles during low-speed driving. The proposed … |
Junnan Pan; Prodromos Sotiriadis; F. Englberger; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 758 | A Comparison of Imitation Learning Pipelines for Autonomous Driving on The Effect of Change in Ego-vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a comparison of the effect of change in ego-vehicle in two different pipelines of imitation learning for autonomous driving (AD) between direct control-based … |
Noorsyamimi Abdur Ajak; Wee-Hong Ong; O. A. Malik; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 759 | Analyzing Take-over Event of Autonomous Vehicle for Driving Safety Evaluation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Worldwide efforts have been made to conduct various demonstration projects on real roads to accelerate the commercialization of autonomous vehicles (AVs). However, traffic safety … |
Hoseon Kim; Young Jo; Minkyung Kim; Cheol Oh; Seolyoung Lee; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-06-02 |
| 760 | Design of AI-Powered Hybrid Control Algorithm of Robot Vehicle for Enhanced Driving Performance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This letter presents a hybrid control of robot vehicle using the behavior cloning algorithm with PID control for enhanced driving performance. The behavior cloning algorithm based … |
Hyun-geun Kim; Jinhee Myoung; Sunmyung Lee; Kang-Moon Park; D. Shin; | IEEE Embedded Systems Letters | 2024-06-01 |
| 761 | Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future Agendas Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Emotion and a broader range of affective and cognitive states play an important role on the road. While this has been predominantly investigated in terms of driver safety, the … |
Vincent Karas; Dagmar M. Schuller; Björn W. Schuller; | IEEE Transactions on Intelligent Transportation Systems | 2024-06-01 |
| 762 | A Railway Accident Prevention System Using An Intelligent Pilot Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Railway transportation, as a pillar of modern civilization, unavoidably suffers from external risk factors such as natural disasters, track breakages, and train collisions, which … |
Shixiong Wang; Xinke Li; Zhirui Chen; Yang Liu; | IEEE Transactions on Intelligent Transportation Systems | 2024-06-01 |
| 763 | An Efficient and Accurate A-Star Algorithm for Autonomous Vehicle Path Planning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Efficient and accurate path planning algorithm of unmanned vehicles for unstructured road is of great significant for field disaster relief. An improved A–star algorithm for … |
Zhi Lin; Kang Wu; Rulin Shen; Xin Yu; Shiquan Huang; | IEEE Transactions on Vehicular Technology | 2024-06-01 |
| 764 | A Dynamic Evolution Model for Decentralized Autonomous Car Clusters in A Highway Scene Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Cluster evolution is a challenging problem for vehicular ad hoc network (VANET) in a highway scene with fast moving autonomous vehicles and frequent cluster topology changes. Most … |
Jiujun Cheng; Huiyu Sun; Zhangkai Ni; Aiguo Zhou; | IEEE Transactions on Computational Social Systems | 2024-06-01 |
| 765 | Mixed Vehicle Group Merging Control in The Vicinity of Traffic Signals: A Cyber-Physical Perspective Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The reasonable and orderly traffic in vicinity of traffic signals is essential for the traffic efficiency of any signalized intersection. Under mixed traffic condition, adverse … |
Zhe Wang; Dihua Sun; Liuping Wang; Min Zhao; | IEEE Transactions on Intelligent Transportation Systems | 2024-06-01 |
| 766 | A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Most autonomous driving studies incorporating vehicle-to-everything (V2X) communications assume the existence of continuous V2X communications, and ignore the possibility that V2X … |
Longquan Chen; Ying He; F. Yu; Weike Pan; Zhong Ming; | IEEE Transactions on Vehicular Technology | 2024-06-01 |
| 767 | Angle Tracking and Fault-Tolerant Control of Steer-by-Wire System With Dual Three-Phase Motor for Autonomous Vehicle IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In order to facilitate the application of steer-by-wire system in L3 and higher-level autonomous driving vehicle and overcome the shortcomings of the dual motor steer-by-wire … |
Guobiao Shi; Cong Guo; Shuai Wang; Tingyang Liu; | IEEE Transactions on Intelligent Transportation Systems | 2024-06-01 |
| 768 | Driving Behavior Prediction Based on Combined Neural Network Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Accurate behavior prediction of surrounding vehicles can greatly improve the operating safety of autonomous vehicles. However, in real traffic scence, the complexity and … |
Runmei Li; Xiaoting Shu; Chen Li; | IEEE Transactions on Computational Social Systems | 2024-06-01 |
| 769 | Navigating Autonomous Vehicle on Unmarked Roads with Diffusion-Based Motion Prediction and Active Inference Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a novel approach to improving autonomous vehicle control in environments lacking clear road markings by integrating a diffusion-based motion predictor within an Active Inference Framework (AIF). |
Yufei Huang; Yulin Li; Andrea Matta; Mohsen Jafari; | arxiv-cs.RO | 2024-05-31 |
| 770 | Characterization of In-Vehicle Network Sensor Data Traffic in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The softwarization of vehicles and the evolution towards autonomous driving is imposing increasing flexibility and reliability demands to future in-vehicle networks (IVN). … |
LUCA LUSVARGHI et. al. | 2024 IEEE Vehicular Networking Conference (VNC) | 2024-05-29 |
| 771 | Poster: Adaptive Astar Algorithm for Calculation Time Reduction of Autonomous Vehicle’s Pathfinding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the development of autonomous driving, multi agent pathfinding is necessary. Because a little delay can cause a collision with a median strip or other vehicles, the … |
Yeongwon Jeon; Daejin Park; | 2024 IEEE Vehicular Networking Conference (VNC) | 2024-05-29 |
| 772 | A New Platooning Model for Connected and Autonomous Vehicles to Improve String Stability Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a novel approach to coordinated vehicle platooning, where the platoon followers communicate solely with the platoon leader. A dynamic model is proposed to … |
Shouwei Hui; Michael Zhang; | ArXiv | 2024-05-29 |
| 773 | OpenConvoy: Universal Platform for Real-World Testing of Cooperative Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, the responsible development and implementation of these algorithms poses substantial challenges due to the need for extensive real-world testing. We address this issue and introduce OpenConvoy, an open and extensible framework designed for the implementation and assessment of cooperative driving policies on physical connected and autonomous vehicles (CAVs). |
Owen Burns; Hossein Maghsoumi; Yaser Fallah; Israel Charles; | arxiv-cs.RO | 2024-05-28 |
| 774 | Rigorous Simulation-based Testing for Autonomous Driving Systems — Targeting The Achilles’ Heel of Four Open Autopilots Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We propose a rigorous test method based on breaking down scenarios into simple ones, taking into account the fact that autopilots make decisions according to traffic rules whose application depends on local knowledge and context. |
Changwen Li; Joseph Sifakis; Rongjie Yan; Jian Zhang; | arxiv-cs.SE | 2024-05-27 |
| 775 | Rigorous Simulation-based Testing for Autonomous Driving Systems – Targeting The Achilles’ Heel of Four Open Autopilots Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Simulation-based testing remains the main approach for validating Autonomous Driving Systems. We propose a rigorous test method based on breaking down scenarios into simple ones, … |
Changwen Li; J. Sifakis; Rongjie Yan; Jian Zhang; | ArXiv | 2024-05-27 |
| 776 | Usecase-based Generic Framework for Data Fusion and Decision Making in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the upcoming era influenced by autonomous vehicle (AV) technology, potential outcomes encompass reduced traffic congestion, enhanced road safety, and interconnected vehicles. … |
H. Ignatious; Hesham El-Sayed; | 2024 International Wireless Communications and Mobile … | 2024-05-27 |
| 777 | Lane Detection Using Graph Search and Geometric Constraints for Formula Student Driverless Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Previous methods are inefficient and unable to find long-horizon solutions. We propose a deterministic algorithm called CLC that uses backtracking graph search with a learned likelihood function to overcome these limitations. |
Ivo Ivanov; Carsten Markgraf; | arxiv-cs.RO | 2024-05-25 |
| 778 | Driving Behavior Extraction Based on Eyes Movement Patterns Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Interest in autonomous driving has increased in the last decade. This generates a growing demand in developing algorithms suitable for such vehicles. In this context, modeling and … |
Alexandru M. Pescaru; M. Micea; | 2024 IEEE 18th International Symposium on Applied … | 2024-05-23 |
| 779 | HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study presents a novel approach, HighwayLLM, which harnesses the reasoning capabilities of large language models (LLMs) to predict the future waypoints for ego-vehicle’s navigation. |
Mustafa Yildirim; Barkin Dagda; Saber Fallah; | arxiv-cs.RO | 2024-05-22 |
| 780 | Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce a novel autonomous algorithm that enables off-the-shelf RL algorithms to train autonomous vehicles with minimal human intervention. |
Sang-Hyun Lee; Daehyeok Kwon; Seung-Woo Seo; | arxiv-cs.RO | 2024-05-22 |
| 781 | Toward B5G/6G Connected Autonomous Vehicles: O-RAN-Driven Millimeter-Wave Beam Management and Handover Management IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Connected autonomous vehicles (CAVs) are crucial to a future society that embraces advanced technologies. For these vehicles to effectively share information with nearby vehicles … |
KENGO SUZUKI et. al. | IEEE INFOCOM 2024 – IEEE Conference on Computer … | 2024-05-20 |
| 782 | Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A Review Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Concluding with a summary, we present our future-oriented ideas and hypotheses. |
XINYU ZHANG et. al. | arxiv-cs.CV | 2024-05-16 |
| 783 | CarDreamer: Open-Source Learning Platform for World-Model-Based Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To safely navigate intricate real-world scenarios, autonomous vehicles (AVs) must be able to adapt to diverse road conditions and anticipate future events. World model (WM)-based … |
DECHEN GAO et. al. | IEEE Internet of Things Journal | 2024-05-15 |
| 784 | CarDreamer: Open-Source Learning Platform for World Model Based Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Nevertheless, to the best of our knowledge, there does not exist an accessible platform for training and testing such algorithms in sophisticated driving environments. To fill this void, we introduce CarDreamer, the first open-source learning platform designed specifically for developing WM based autonomous driving algorithms. |
DECHEN GAO et. al. | arxiv-cs.RO | 2024-05-15 |
| 785 | Overtaking Mechanisms Based on Augmented Intelligence for Autonomous Driving: Data Sets, Methods, and Challenges IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The field of autonomous driving research has made significant strides toward achieving full automation, endowing vehicles with self-awareness and independent decision making. … |
V. Chamola; Amit Chougule; Aishwarya Sam; Amir Hussain; F. Yu; | IEEE Internet of Things Journal | 2024-05-15 |
| 786 | Accessible Autonomous Vehicles As Symbiotic Autonomous Systems for Users with Disabilities: Preliminary Design Guidelines Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In biology and life sciences, symbiosis refers to a close interdependent relationship between two biological species who live in a mutually supportive, cooperative way. In this … |
Julian Brinkley; Raphael Ugboko; | 2024 IEEE 4th International Conference on Human-Machine … | 2024-05-15 |
| 787 | Work-in-Progress: Crash Course: Can (Under Attack) Autonomous Driving Beat Human Drivers? Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Through our analysis, we develop specific claims highlighting the delicate balance between the advantages of AVs and potential security challenges in real-world scenarios. |
Francesco Marchiori; Alessandro Brighente; Mauro Conti; | arxiv-cs.CR | 2024-05-14 |
| 788 | Uncertainty-aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: While existing Learning from intervention (LfI) methods within the human-in-the-loop reinforcement learning (HiL-RL) paradigm mainly operate on the assumption that human policies … |
Wenhui Huang; Zitong Shan; Shanhe Lou; Chen Lv; | 2024 IEEE International Conference on Robotics and … | 2024-05-13 |
| 789 | Learning-based Model Predictive Control for An Autonomous Formula Student Racing Car Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Advancements in Automated Driving Systems (ADSs) have enabled the achievement of a certain level of autonomy while commuting in a car. However, emergency and high-speed maneuvers … |
David R. Gomes; M. Botto; Pedro U. Lima; | 2024 IEEE International Conference on Robotics and … | 2024-05-13 |
| 790 | Light It Up: Evaluating Versatile Autonomous Vehicle-Cyclist External Human-Machine Interfaces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The social cues drivers exchange with cyclists to negotiate space-sharing will disappear as autonomous vehicles (AVs) join our roads, leading to safety concerns. External … |
Ammar Al-Taie; Graham Wilson; Euan Freeman; Frank Pollick; S. Brewster; | Proceedings of the CHI Conference on Human Factors in … | 2024-05-11 |
| 791 | Can You Hazard A Guess?: Evaluating The Effect of Augmented Reality Cues on Driver Hazard Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Semi-autonomous vehicles allow drivers to engage with non-driving related tasks (NDRTs). However, these tasks interfere with the driver’s situational awareness, key when they need … |
Thomas Goodge; Frank Pollick; S. Brewster; | Proceedings of the CHI Conference on Human Factors in … | 2024-05-11 |
| 792 | Hierarchical Learned Risk-Aware Planning Framework for Human Driving Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a novel approach to modeling human driving behavior, designed for use in evaluating autonomous vehicle control systems in a simulation environments. |
Nathan Ludlow; Yiwei Lyu; John Dolan; | arxiv-cs.RO | 2024-05-10 |
| 793 | Probing Multimodal LLMs As World Models for Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We provide a sober look at the application of Multimodal Large Language Models (MLLMs) in autonomous driving, challenging common assumptions about their ability to interpret dynamic driving scenarios. |
SHIVA SREERAM et. al. | arxiv-cs.RO | 2024-05-09 |
| 794 | Promoting Learning Through Competition — An Exploratory Study on Discipline Crossing Practical Teaching Mode of Autonomous Driving Speciality Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving has a significant impact on the strategic direction of the future development of the automotive industry. Most of the theoretical teaching content of vehicle … |
Xiaolin Mou; Heyan Li; Xiaohong Yin; | 2024 IEEE Global Engineering Education Conference (EDUCON) | 2024-05-08 |
| 795 | Research on Key Scene Trajectory Generation Method Based on BLA-VAE Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To promote the development of self-driving cars and ensure the safety of their functions, testing is an indispensable part, especially for functioning tests under critical … |
Yong Wang; Wei Zhang; Daifeng Zhang; Yanqiang Li; Dongbing Zhang; | 2024 27th International Conference on Computer Supported … | 2024-05-08 |
| 796 | An NSGA-II-based Multi-objective Trajectory Planning Method for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the rapid development of a new generation of information and communication technologies such as artificial intelligence, big data, and the Internet of Things, the automotive … |
DONGBING ZHANG et. al. | 2024 27th International Conference on Computer Supported … | 2024-05-08 |
| 797 | BNART: A Novel Centralized Traffic Management Approach for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Traffic management poses a critical challenge in modern metropolitan areas, where efficient management can significantly reduce travel time and vehicle emissions. With the vision … |
Dariush Ebrahimi; Govind Sudarshan; Fadi Alzhouri; | 2024 20th International Conference on the Design of … | 2024-05-06 |
| 798 | A Real-World Testbed for V2X in Autonomous Vehicles: From Simulation to Actual Road Testing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes an edge computing-enhanced testbed for Vehicle-to-Everything (V2X) communication, using a scaled autonomous vehicle model. Addressing the limitations of … |
Ammar Elmoghazy; Khalid Elgazzar; Sanaa A. Alwidian; | 2024 IEEE 8th International Conference on Fog and Edge … | 2024-05-06 |
| 799 | PAFOT: A Position-Based Approach for Finding Optimal Tests of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This paper proposes PAFOT, a position-based approach testing framework, which generates adversarial driving scenarios to expose safety violations of ADSs. |
Victor Crespo-Rodriguez; Aldeida Aleti; | arxiv-cs.SE | 2024-05-06 |
| 800 | Accelerating Autonomy: Insights from Pro Racers in The Era of Autonomous Racing – An Expert Interview Study Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This research aims to investigate professional racing drivers’ expertise to develop an understanding of their cognitive and adaptive skills to create new autonomy algorithms. |
Frederik Werner; René Oberhuber; Johannes Betz; | arxiv-cs.RO | 2024-05-04 |
| 801 | An Advanced Framework for Ultra-Realistic Simulation and Digital Twinning for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, these tools often struggle with compatibility due to differing platform, hardware, and software requirements, severely hampering their combined effectiveness. This paper introduces BlueICE, an advanced framework for ultra-realistic simulation and digital twinning, to address these challenges. |
Yuankai He; Hanlin Chen; Weisong Shi; | arxiv-cs.RO | 2024-05-02 |
| 802 | Evaluation and Optimization of Adaptive Cruise Control in Autonomous Vehicles Using The CARLA Simulator: A Study on Performance Under Wet and Dry Weather Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The primary purpose of this research is to use cutting-edge computing approaches to locate and track vehicles in real time under various conditions to achieve a safe ACC. |
Roza Al-Hindaw; Taqwa I. Alhadidi; Mohammad Adas; | arxiv-cs.RO | 2024-05-02 |
| 803 | An Efficient Release Time Assignment Method for Backup Tasks in Real-Time Standby-Sparing Driverless Vehicle Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Reliability is the primary goal of driverless vehicle design. Redundant system design is the key to ensure the safety and reliability of driverless vehicles, so some driverless … |
Yumeng Liu; Si Cai; Quan Zhou; Fanjiang Xu; Hongan Wang; | IEEE Transactions on Vehicular Technology | 2024-05-01 |
| 804 | Distributed Model Predictive Control for Heterogeneous Platoon With Leading Human-Driven Vehicle Acceleration Prediction IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Heterogeneous vehicle platoons, consisting of a human-driven vehicle (HDV) as the leader and connected automated vehicles (CAVs) as followers, present a promising solution to … |
JUNRU YANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-05-01 |
| 805 | Predicting Pedestrian Crossing Behavior at Unsignalized Mid-Block Crosswalks Using Maximum Entropy Deep Inverse Reinforcement Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the future driverless scenario, pedestrian-vehicle conflict is an unavoidable traffic problem at unsignalized mid-block crosswalks. Autonomous vehicles are obviously impossible … |
YONGJIE WANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-05-01 |
| 806 | Driving Intention Recognition and Speed Prediction at Complex Urban Intersections Considering Traffic Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Reliable motion prediction of surrounding vehicles is the key to safe and efficient driving of autonomous vehicles, especially at urban intersections with complex traffic … |
TIAN YUAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-05-01 |
| 807 | Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Lane changing is a complex, yet extremely common driving manoeuvre. Studying lane changes can provide insight into how long drivers wait after activating their turn signal before … |
Sarang Jokhio; Pierluigi Olleja; Jonas Bärgman; Fei Yan; Martin Baumann; | IEEE Transactions on Intelligent Transportation Systems | 2024-05-01 |
| 808 | Personalized Driving Behavior Oriented Autonomous Vehicle Control for Typical Traffic Situations Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
HAORAN LI et. al. | J. Frankl. Inst. | 2024-05-01 |
| 809 | Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier] [Research Frontier] IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes a new reinforcement learning (RL) algorithm, called encoding distributional soft actor-critic (E-DSAC), for decision-making in autonomous driving. Unlike … |
JINGLIANG DUAN et. al. | IEEE Computational Intelligence Magazine | 2024-05-01 |
| 810 | GAD-Generative Learning for HD Map-Free Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present a deep-learning-based approach that brings prediction, decision, and planning modules together with the attempt to overcome the rule-based methods’ deficiency in real-world applications of autonomous driving, especially for urban scenes. |
WEIJIAN SUN et. al. | arxiv-cs.RO | 2024-05-01 |
| 811 | PolyFlows: Modular Test Framework Design for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Validation and verification of autonomous vehicles is a vexing research challenge. PolyVerif, an open-source validation and verification framework, is designed to accelerate … |
M. Akbaş; Mahesh Menase; Shivendra Verma; Rahul Razdan; | 2024 IEEE International Conference on Mobility, Operations, … | 2024-05-01 |
| 812 | Enhancing Driving Behavior Analysis in Autonomous Systems: A Reservoir Computing and Temporal-Aware Machine Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the rapidly evolving domain of autonomous vehicles, ensuring safety and reliability through advanced anomaly detection is paramount. Reservoir Computing, a novel approach for … |
Fabiha Nowshin; Sanchit Sethi; Zheng Dong; Yang Yi; | 2024 IEEE International Conference on Mobility, Operations, … | 2024-05-01 |
| 813 | ODFa${}^{2}$: Overall Defense Framework Against Cyber-Attacks on Intelligent Connected Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving, as an emerging technology, is developing rapidly. However, a number of obstacles appear to be holding back the widespread adoption of autonomous driving. … |
Zhengshu Zhou; Qiang Zhi; Lu Tao; Peng Ping; Qian Long; | IEEE Transactions on Vehicular Technology | 2024-05-01 |
| 814 | Latency & Energy Efficiency: A Comparative Study for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the realm of sustainable autonomous driving, this study investigates the impact of network disturbances on autonomous vehicle behavior and maneuvering, along with the influence … |
Alvika Gautam; S. Saripalli; | 2024 IEEE International Conference on Mobility, Operations, … | 2024-05-01 |
| 815 | Enhancing Autonomous Vehicles Control: Distributed Microservices with V2X Integration and Perception Modules Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper proposes an architecture and a real deployment for the shared perception between a vehicle and the infrastructure in autonomous mobility, employing microservices on the … |
JOAQUIM RAMOS et. al. | 2024 IEEE International Conference on Mobility, Operations, … | 2024-05-01 |
| 816 | Matching 5G Connected Vehicles to Sensed Vehicles for Safe Cooperative Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: 5G connected autonomous vehicles (CAVs) help enhance perception of driving environment and cooperation among vehicles by sharing sensing and driving information, which is a … |
Zuoyin Tang; Jianhua He; Kun Yang; Hsiao-Hwa Chen; | IEEE Network | 2024-05-01 |
| 817 | Enhancing Autonomous Vehicle Design and Testing: A Comprehensive Review of AR and VR Integration Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: By analyzing existing research, the review aims to identify how AR and VR can be leveraged to improve various aspects of autonomous vehicle development, including: creating more realistic and comprehensive testing environments, facilitating the design of user centered interfaces, and safely evaluating driver behavior in complex scenarios. |
Emanuella Ejichukwu; Lauren Tong; Gadir Hazime; Bochen Jia; | arxiv-cs.HC | 2024-04-29 |
| 818 | Redefining Safety for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Existing standards and terminology only partially address these new challenges. We propose updated definitions for core system safety concepts that encompass these additional considerations as a starting point for evolving safe-ty approaches to address these additional safety challenges. |
Philip Koopman; William Widen; | arxiv-cs.RO | 2024-04-25 |
| 819 | Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Learning and understanding car-following (CF) behaviors are crucial for microscopic traffic simulation. Traditional CF models, though simple, often lack generalization … |
Chengyuan Zhang; Kehua Chen; Meixin Zhu; Hai Yang; Lijun Sun; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-04-24 |
| 820 | Driver Activity Classification Using Generalizable Representations from Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we present a novel approach leveraging generalizable representations from vision-language models for driver activity classification. |
Ross Greer; Mathias Viborg Andersen; Andreas Møgelmose; Mohan Trivedi; | arxiv-cs.CV | 2024-04-23 |
| 821 | Collaborative Perception Datasets in Autonomous Driving: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This survey offers a comprehensive examination of collaborative perception datasets in the context of Vehicle-to-Infrastructure (V2I), Vehicle-to-Vehicle (V2V), and Vehicle-to-Everything (V2X). |
Melih Yazgan; Mythra Varun Akkanapragada; J. Marius Zoellner; | arxiv-cs.CV | 2024-04-22 |
| 822 | Should Teleoperation Be Like Driving in A Car? Comparison of Teleoperation HMIs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Since Automated Driving Systems are not expected to operate flawlessly, Automated Vehicles will require human assistance in certain situations. For this reason, teleoperation … |
Maria-Magdalena Wolf; Richard Taupitz; Frank Diermeyer; | arxiv-cs.RO | 2024-04-21 |
| 823 | Reinforcement Learning-Based Car-Following Control for Autonomous Vehicles with OTFS Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The orthogonal time frequency space (OTFS) modulation is regarded as a promising technology to fully release the potential of integrated sensing and communication (ISAC) systems. … |
Yulin Liu; Yuye Shi; Xiaoqi Zhang; Jun Wu; Songyuan Yang; | 2024 IEEE Wireless Communications and Networking Conference … | 2024-04-21 |
| 824 | Physical Backdoor Attack Can Jeopardize Driving with Vision-Large-Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this paper, we propose BadVLMDriver, the first backdoor attack against VLMs for autonomous driving that can be launched in practice using physical objects. |
ZHENYANG NI et. al. | arxiv-cs.CR | 2024-04-19 |
| 825 | An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, a novel online spatial-temporal graph trajectory planner is introduced to generate safe and comfortable trajectories. |
Jilan Samiuddin; Benoit Boulet; Di Wu; | arxiv-cs.RO | 2024-04-18 |
| 826 | Challenges As Catalysts: How Waymo’s Open Dataset Challenges Shape AI Development Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Artificial intelligence (AI) and machine learning (ML) are becoming increasingly significant areas of research for scholars in science and technology studies (STS) and media … |
Sam Hind; F. V. D. Vlist; Max Kanderske; | AI Soc. | 2024-04-17 |
| 827 | End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this research, we propose a novel game-based end-to-end learning and testing framework for autonomous vehicle highway driving, by learning from human driving skills. |
Satya R. Jaladi; Zhimin Chen; Narahari R. Malayanur; Raja M. Macherla; Bing Li; | arxiv-cs.RO | 2024-04-16 |
| 828 | On-Demand Triple Modular Redundancy for Automotive Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The vast majority of the automation of driving functions within automotive vehicles is currently not exceeding the sole assistance of a driver. Assistance means, that in the event … |
Martin Stoffel; Marc Schindewolf; Eric Sax; | 2024 IEEE International Systems Conference (SysCon) | 2024-04-15 |
| 829 | Modeling The Lane-Change Reactions to Merging Vehicles for Highway On-Ramp Simulations Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While some previous works have studied the yielding reaction of lag vehicles in response to a merging car at highway on-ramps, the possible lane-change reaction of the lag car has not been widely studied. In this work we aim to improve the simulation of the highway merge scenario by including the lane-change reaction in addition to yielding behavior of main-lane lag vehicles, and we evaluate two different models for their ability to capture this reactive lane-change behavior. |
DUSTIN HOLLEY et. al. | arxiv-cs.RO | 2024-04-15 |
| 830 | Autonomous Vehicle Development As A System of Systems and Constituent Systems Networking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Driverless vehicles are complex to develop due to the number of systems required for safe and secure autonomous operation. Autonomous vehicles embody the definition of a system of … |
Ahmed Elhadeedy; Jeremy Daily; | 2024 IEEE International Systems Conference (SysCon) | 2024-04-15 |
| 831 | Multi-Modal GPT-4 Aided Action Planning and Reasoning for Self-driving Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We investigate the use of a pre-trained large language model (LLM) to derive comprehensible driving decisions from multi-modal time-series data captured by a monocular camera on an autonomous vehicle. |
F. Chi; Y. Wang; P. Nasiopoulos; V. C. M. Leung; | icassp | 2024-04-15 |
| 832 | Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: From the platform perspective, we present V2Xverse, a comprehensive simulation platform for collaborative autonomous driving. |
GENJIA LIU et. al. | arxiv-cs.CV | 2024-04-15 |
| 833 | Multi-Modal GPT-4 Aided Action Planning and Reasoning for Self-driving Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Explainable decision-making is critical for building trust in autonomous vehicles. We investigate the use of a pre-trained large language model (LLM) to derive comprehensible … |
Fangyuan Chi; Yixiao Wang; P. Nasiopoulos; Victor C. M. Leung; | ICASSP 2024 – 2024 IEEE International Conference on … | 2024-04-14 |
| 834 | Drivesafe: Pose-Based Driver Monitoring In Software Defined Vehicle Using STGCN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Driver state monitoring is crucial in the realm of software-defined vehicles. This monitoring ensures a continuous evaluation of driver attentiveness to prevent potential … |
Patitapaban Palo; S. Nayak; Durga Nagendra Raghava Kumar Modhugu; Satarupa Uttarkabat; Kwanit Gupta; | 2024 IEEE International Conference on Acoustics, Speech, … | 2024-04-14 |
| 835 | D2E: An Autonomous Decision-Making Dataset Involving Driver States and Human Evaluation of Driving Behavior Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the advancement of deep learning technology, data-driven methods are increasingly used for decision-making in autonomous driving, and the quality of datasets greatly … |
ZEHONG KE et. al. | 2024 IEEE 27th International Conference on Intelligent … | 2024-04-12 |
| 836 | A Novel Neural Network Architecture and Cross-model Transfer Learning for Multi-task Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: PurposeThe purpose of this research is to achieve multi-task autonomous driving by adjusting the network architecture of the model. Meanwhile, after achieving multi-task … |
Youwei Li; Jian Qu; | Data Technol. Appl. | 2024-04-12 |
| 837 | WROOM: An Autonomous Driving Approach for Off-Road Navigation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We design an end-to-end reinforcement learning (RL) system for an autonomous vehicle in off-road environments using a custom-designed simulator in the Unity game engine. |
Dvij Kalaria; Shreya Sharma; Sarthak Bhagat; Haoru Xue; John M. Dolan; | arxiv-cs.RO | 2024-04-12 |
| 838 | Maturity of Vehicle Digital Twins: From Monitoring to Enabling Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Digital twinning of vehicles is an iconic application of digital twins, as the concept of twinning dates back to the twinning of NASA space vehicles. Although digital twins (DTs) … |
Robert Klar; Niklas Arvidsson; Vangelis Angelakis; | arxiv-cs.ET | 2024-04-12 |
| 839 | D2E-An Autonomous Decision-making Dataset Involving Driver States and Human Evaluation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the advancement of deep learning technology, data-driven methods are increasingly used in the decision-making of autonomous driving, and the quality of datasets greatly … |
ZEHONG KE et. al. | ArXiv | 2024-04-12 |
| 840 | Monocular 3D Lane Detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This review looks back and analyzes the current state of achievements in the field of 3D lane detection research. |
FULONG MA et. al. | arxiv-cs.CV | 2024-04-10 |
| 841 | Incorporating Explanations Into Human-Machine Interfaces for Trust and Situation Awareness in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We first present a broad context of the explanatory human-machine systems with the 3W1H (what, whom, when, how) approach. Based on these findings, we present a situation awareness framework for calibrating users’ trust in self-driving behavior. |
Shahin Atakishiyev; Mohammad Salameh; Randy Goebel; | arxiv-cs.RO | 2024-04-10 |
| 842 | Autonomous Driving Small-Scale Cars: A Survey of Recent Development IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: These platforms not only serve as valuable educational tools for the broader public and young generations but also function as robust research platforms, contributing significantly to the ongoing advancements in autonomous driving technology. This survey outlines various small-scale car platforms, categorizing them and detailing the research advancements accomplished through their usage. |
Dianzhao Li; Paul Auerbach; Ostap Okhrin; | arxiv-cs.RO | 2024-04-09 |
| 843 | AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In addition, the single-vehicle autonomous driving systems lack of the ability of collaboration and negotiation with other vehicles, which is crucial for the safety and efficiency of autonomous driving systems. In order to address these issues, we leverage large language models (LLMs) to develop a novel framework, AgentsCoDriver, to enable multiple vehicles to conduct collaborative driving. |
SENKANG HU et. al. | arxiv-cs.AI | 2024-04-09 |
| 844 | Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper explores the application of SLAM (Simultaneous Localization and Mapping) technology in the context of automatic lane change behavior prediction and environment perception for autonomous vehicles. |
Han Lei; Baoming Wang; Zuwei Shui; Peiyuan Yang; Penghao Liang; | arxiv-cs.RO | 2024-04-05 |
| 845 | Path Planning of Self-driving Vehicles Combining Ant Colony and DWA Algorithms in Complex Dense Obstacles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: INTRODUCTION: To solve the problems of low quality and weak global optimization of the DWA algorithm, especially the problems of unreasonable path planning and the inability to … |
Jing Niu; Chuanyan Shen; Jiapei Wei; Shifeng Liu; Cheng Lin; | EAI Endorsed Trans. Energy Web | 2024-04-05 |
| 846 | One Stack to Rule Them All: To Drive Automated Vehicles, and Reach for The 4th Level Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we present our automated driving stack which combines both scalability and adaptability. |
SVEN OCHS et. al. | arxiv-cs.RO | 2024-04-03 |
| 847 | Advanced Methods and Algorithms for Selected Connected Autonomous Vehicles (CAVs) Benefits Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles offer many benefits to driving, including safety, comfort, and efficiency. The significant extended benefit of autonomy in traffic comes from the connectivity … |
A. Eskandarian; | IEEE Transactions on Intelligent Transportation Systems | 2024-04-01 |
| 848 | A Self-Trajectory Prediction Approach for Autonomous Vehicles Using Distributed Decouple LSTM IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle trajectory prediction plays a crucial role in ensuring the driving safety of autonomous vehicles in complex traffic scenes. To accurately predict the trajectory of … |
Tianqi Qie; Weida Wang; Chao Yang; Ying Li; | IEEE Transactions on Industrial Informatics | 2024-04-01 |
| 849 | Performance of Successive Reference Pose Tracking Vs Smith Predictor Approach for Direct Vehicle Teleoperation Under Variable Network Delays Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle teleoperation holds potential applications as a fallback solution for autonomous vehicles, remote delivery services, hazardous operations, etc. However, network delays and … |
J. Prakash; M. Vignati; E. Sabbioni; | IEEE Transactions on Vehicular Technology | 2024-04-01 |
| 850 | A Spatiotemporal Backdoor Attack Against Behavior-Oriented Decision Makers in Metaverse: From Perspective of Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Behavior-oriented decision-makers are critical components in generating intelligent decisions for user virtual interactions in metaverse. In this work, we study the efficiency and … |
Yinbo Yu; Jiajia Liu; Hongzhi Guo; Bomin Mao; Nei Kato; | IEEE Journal on Selected Areas in Communications | 2024-04-01 |
| 851 | Motion Planning and Control of Autonomous Aggressive Vehicle Maneuvers IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Aggressive vehicle maneuvers such as those performed by professional racing drivers achieve high agility motion at the edge of handling limits. These aggressive maneuvers can be … |
A. Arab; Kaiyan Yu; Jiaxing Yu; J. Yi; | IEEE Transactions on Automation Science and Engineering | 2024-04-01 |
| 852 | Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In extreme off-road scenarios, autonomous driving technology holds strategic significance for enhancing emergency rescue capabilities, reducing labor intensity, and mitigating … |
JINGJING FAN et. al. | IEEE Transactions on Intelligent Vehicles | 2024-04-01 |
| 853 | Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: It collects a series of DRL methodologies and algorithms and their applications in the field, focusing notably on their roles in trajectory planning and dynamic control. In this review, we delve into the application outcomes of DRL technologies in this domain. |
Yiyang Chen; Chao Ji; Yunrui Cai; Tong Yan; Bo Su; | arxiv-cs.RO | 2024-03-30 |
| 854 | LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, these estimations are coarse and are subjective to their world understanding which may generate sub-optimal decisions due to perception errors. In this paper, we introduce LeGo-Drive, which aims to address this issue by estimating a goal location based on the given language command as an intermediate representation in an end-to-end setting. |
Pranjal Paul; Anant Garg; Tushar Choudhary; Arun Kumar Singh; K. Madhava Krishna; | arxiv-cs.RO | 2024-03-29 |
| 855 | MPC-Based Routing and Tracking Architecture for Safe Autonomous Driving in Urban Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a configurable routing and tracking architecture that uses multi-objective Model Predictive Control (MPC) as its driving algorithm to guarantee safe autonomous … |
M. Emam; Matthias Gerdts; | SN Comput. Sci. | 2024-03-29 |
| 856 | PAFNet: Pillar Attention Fusion Network for Vehicle-Infrastructure Cooperative Target Detection Using LiDAR Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the development of autonomous driving, consensus is gradually forming around vehicle–infrastructure cooperative (VIC) autonomous driving. The VIC environment-sensing system … |
Luyang Wang; Jinhui Lan; Min Li; | Symmetry | 2024-03-29 |
| 857 | ENet-21: An Optimized Light CNN Structure for Lane Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study aims to develop an optimal structure for the lane detection problem, offering a promising solution for driver assistance features in modern vehicles by utilizing a machine learning method consisting of binary segmentation and Affinity Fields that can manage varying numbers of lanes and lane change scenarios. |
Seyed Rasoul Hosseini; Hamid Taheri; Mohammad Teshnehlab; | arxiv-cs.CV | 2024-03-28 |
| 858 | Situation Awareness for Driver-Centric Driving Style Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: However, current driving style models only partially incorporate driving environment information, limiting the alignment between an agent and the given situation. Therefore, we propose a situation-aware driving style model based on different visual feature encoders pretrained on fleet data, as well as driving behavior predictors, which are adapted to the driving style of a specific driver. |
Johann Haselberger; Bonifaz Stuhr; Bernhard Schick; Steffen Müller; | arxiv-cs.CV | 2024-03-28 |
| 859 | PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: To enhance the safety of autonomous driving, this paper introduces a novel evaluation criterion based on physical location information, termed PLoc. |
Ruining Yang; Yuqi Peng; | arxiv-cs.CV | 2024-03-28 |
| 860 | 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. | arxiv-cs.CV | 2024-03-27 |
| 861 | Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a novel algorithm based on the long and short-term constraints (LSTC) for safe RL. |
Xuemin Hu; Pan Chen; Yijun Wen; Bo Tang; Long Chen; | arxiv-cs.LG | 2024-03-26 |
| 862 | LLM-Powered Synthetic Environments for Self-Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper outlines a proposal exploring the potential use of Large Language Models (LLMs), particularly GPT-4, in crafting realistic synthetic environments for self-driving … |
Oluwanifemi Adebayo Moses Adekanye; | AAAI Conference on Artificial Intelligence | 2024-03-24 |
| 863 | Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we develop an Ensemble of DNN regressors (Deep Ensemble) that generates predictions with quantification of prediction uncertainties. |
Xiao Li; H. Eric Tseng; Anouck Girard; Ilya Kolmanovsky; | arxiv-cs.AI | 2024-03-22 |
| 864 | Characterizing The Effect of Mind Wandering on Braking Dynamics in Partially Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Partially autonomous driving systems may require the human driver to take control at any moment, yet by their design, they often cause difficulty with attention management. In … |
Harini Sridhar; Gaojian Huang; Adam J. Thorpe; Meeko Oishi; Brandon J. Pitts; | ACM Transactions on Cyber-Physical Systems | 2024-03-22 |
| 865 | M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, the extensive deployment of autonomous vehicles has yet to be realized, primarily due to 1) inefficient multi-modal environment perception: how to integrate data from multi-modal sensors more efficiently; 2) non-human-like scene understanding: how to effectively locate and predict critical risky agents in traffic scenarios like an experienced driver. To overcome these challenges, in this paper, we propose a Multi-Modal fusion transformer incorporating Driver Attention (M2DA) for autonomous driving. |
DONGYANG XU et. al. | arxiv-cs.CV | 2024-03-19 |
| 866 | TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces TrajectoryNAS, a pioneering method that focuses on utilizing point cloud data for trajectory prediction. |
Ali Asghar Sharifi; Ali Zoljodi; Masoud Daneshtalab; | arxiv-cs.CV | 2024-03-18 |
| 867 | Reinforcement Learning with Latent State Inference for Autonomous On-ramp Merging Under Observation Delay Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents a novel approach to address the challenging problem of autonomous on-ramp merging, where a self-driving vehicle needs to seamlessly integrate into a flow of vehicles on a multi-lane highway. |
Amin Tabrizian; Zhitong Huang; Peng Wei; | arxiv-cs.RO | 2024-03-18 |
| 868 | Agent-Agnostic Centralized Training for Decentralized Multi-Agent Cooperative Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Abstract: Active traffic management with autonomous vehicles offers the potential for reduced congestion and improved traffic flow. However, developing effective algorithms for real-world … |
Shengchao Yan; Lukas König; Wolfram Burgard; | 2024 IEEE/RSJ International Conference on Intelligent … | 2024-03-18 |
| 869 | Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Auto manufacturers and research groups are working on autonomous driving for long period and achieved significant progress. Autonomous vehicles (AV) are expected to transform road … |
V. Ragav; M. JesherJoshua; P. SyedIbrahimS; | ArXiv | 2024-03-17 |
| 870 | Driving Style Alignment for LLM-powered Driver Agent IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Recently, LLM-powered driver agents have demonstrated considerable potential in the field of autonomous driving, showcasing human-like reasoning and decision-making abilities.However, current research on aligning driver agent behaviors with human driving styles remains limited, partly due to the scarcity of high-quality natural language data from human driving behaviors.To address this research gap, we propose a multi-alignment framework designed to align driver agents with human driving styles through demonstrations and feedback. |
Ruoxuan Yang; Xinyue Zhang; Anais Fernandez-Laaksonen; Xin Ding; Jiangtao Gong; | arxiv-cs.RO | 2024-03-17 |
| 871 | Prototyping Autonomous Vehicle Lane Detection for Snow in VR Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles (AVs) are gaining momentum, and features such as autopilot are becoming widespread among consumer vehicles. AVs track the road to drive correctly, however, … |
Tatiana Ortegon-Sarmiento; Alvaro Uribe-Quevedo; S. Kelouwani; P. Paderewski; Francisco Luis Gutiérrez Vela; | 2024 IEEE Conference on Virtual Reality and 3D User … | 2024-03-16 |
| 872 | Ambient Lighting for Improving Passengers’ Acceptance of Driverless Buses: Combining The Evaluation in Virtual and Real Environment 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, the social acceptance of driverless … |
SATORU OGINO et. al. | 2024 IEEE Conference on Virtual Reality and 3D User … | 2024-03-16 |
| 873 | Are You A Robot? Detecting Autonomous Vehicles from Behavior Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we present a fully-fledged framework that monitors active vehicles using camera images and state information in order to determine whether vehicles are autonomous, without requiring any active notification from the vehicles themselves. |
FABIO MARESCA et. al. | arxiv-cs.RO | 2024-03-14 |
| 874 | Path Planning for Autonomous Vehicle Turning at Intersections with Signal Temporal Logic Specifications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This work establishes signal temporal logic specifications for driving tasks that autonomous vehicle should execute when turning at intersections. The specifications are based on … |
YUJIN WANG et. al. | 2024 16th International Conference on Computer and … | 2024-03-14 |
| 875 | ChatSTL: A Framework of Translation from Natural Language to Signal Temporal Logic Specifications for Autonomous Vehicle Navigation Out of Blocked Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper addresses the quandary that autonomous vehicles may encounter in blocked scenarios, and proposes a novel framework of translation from natural language to Signal … |
YUJIN WANG et. al. | 2024 16th International Conference on Computer and … | 2024-03-14 |
| 876 | Interaction of Autonomous and Manually Controlled Vehicles Multiscenario Vehicle Interaction Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study introduces the Interaction of Autonomous and Manually-Controlled Vehicles (IAMCV) dataset, a novel and extensive dataset focused on inter-vehicle interactions. |
NOVEL CERTAD et. al. | arxiv-cs.RO | 2024-03-13 |
| 877 | Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
HÉCTOR AVILÉS et. al. | Appl. Artif. Intell. | 2024-03-11 |
| 878 | A Virtual Reality Framework for Human-Driver Interaction Research: Safe and Cost-Effective Data Collection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advancement of automated driving technology has led to new challenges in the interaction between automated vehicles and human road users. However, there is currently no … |
Luca Crosato; Chongfeng Wei; Edmond S. L. Ho; Hubert P. H. Shum; Yuzhu Sun; | 2024 19th ACM/IEEE International Conference on Human-Robot … | 2024-03-11 |
| 879 | Personalizing Interfaces to Humans with User-Friendly Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper we enable robots to adapt their interfaces to the current user so that the human’s personalized interpretation is aligned with the robot’s meaning. |
Benjamin A. Christie; Heramb Nemlekar; Dylan P. Losey; | arxiv-cs.RO | 2024-03-11 |
| 880 | Human-Robot Dialogue That Elicits The Alignment of Moral Principles For Driverless Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The emergence of autonomous vehicles has raised ethical considerations regarding their controlling software. The focus is on defining ethical settings that determine the response … |
Georgios Angelopoulos; Vladimir Estivill-Castro; | Companion of the 2024 ACM/IEEE International Conference on … | 2024-03-11 |
| 881 | A Social Approach for Autonomous Vehicles: A Robotic Object to Enhance Passengers’ Sense of Safety and Trust Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: One of the central challenges in designing autonomous vehicles concerns passenger trust and sense of safety. This challenge is related to passengers’ well-established past … |
Srivatsan Chakravarthi Kumaran; Toam Bechor; H. Erel; | 2024 19th ACM/IEEE International Conference on Human-Robot … | 2024-03-11 |
| 882 | Design Exploration of Robotic In-car Accessories for Semi-autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This article explores the design of robotic in-car accessories aimed at enhancing the driving experience in semi-autonomous vehicles. Our objective is to empower these artifacts … |
HYUNJUNG KIM et. al. | Companion of the 2024 ACM/IEEE International Conference on … | 2024-03-11 |
| 883 | On Depth Prediction for Autonomous Driving Using Self-supervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: The second contribution entails a single image-to-depth self-supervised method, proposing a solution for the rigid-scene assumption using a novel transformer-based method that outputs a pose for each dynamic object. |
Houssem Boulahbal; | arxiv-cs.CV | 2024-03-10 |
| 884 | A Detection and Filtering Framework for Collaborative Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose and produce results by using a filtering framework to combine pose information derived from vision and odometry to improve the localization of the ADAS vehicle that follows the smart vehicle. |
Thirumalaesh Ashokkumar; Katherine A Skinner; Siddarth Agarwal; Ankit Vora; Ashutosh Bhown; | arxiv-cs.RO | 2024-03-08 |
| 885 | A Cybersecurity Summer Camp for High School Students Using Autonomous R/C Cars Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Cybersecurity is critical for national infrastructure, governments at all levels, the military, industry, and individual privacy. Both the government and industrial sectors in the … |
Myounggyu Won; Luke Rivers Carrington; Douglas Manuel Espinoza; Mohd. Hasan Ali; Dipankar Dasgupta; | Proceedings of the 55th ACM Technical Symposium on Computer … | 2024-03-07 |
| 886 | Autonomous Vehicle Decision and Control Through Reinforcement Learning with Traffic Flow Randomization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Most of the current studies on autonomous vehicle decision-making and control based on reinforcement learning are conducted in simulated environments. The training and testing of … |
Yuan Lin; Antai Xie; Xiao Liu; | ArXiv | 2024-03-05 |
| 887 | RACE-SM: Reinforcement Learning Based Autonomous Control for Social On-Ramp Merging Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous parallel-style on-ramp merging in human controlled traffic continues to be an existing issue for autonomous vehicle control. Existing non-learning based solutions for … |
Jordan Poots; | arxiv-cs.AI | 2024-03-05 |
| 888 | Improved LiDAR Odometry and Mapping Using Deep Semantic Segmentation and Novel Outliers Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we propose a novel framework for real-time LiDAR odometry and mapping based on LOAM architecture for fast moving platforms. |
Mohamed Afifi; Mohamed ElHelw; | arxiv-cs.CV | 2024-03-05 |
| 889 | Cooperative and Interaction-aware Driver Model for Lane Change Maneuver Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To achieve complete autonomous vehicles, it is crucial for autonomous vehicles to communicate and interact with their surrounding vehicles. Especially, since the lane change … |
Jemin Woo; Changsun Ahn; | ArXiv | 2024-03-04 |
| 890 | Results and Lessons Learned from Autonomous Driving Transportation Services in Airfield, Crowded Indoor, and Urban Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper aims to share our unique experience to support researchers who are interested in exploring autonomous driving transportation services in various real-world environments. |
Doosan Baek; Sanghyun Kim; Seung-Woo Seo; Sang-Hyun Lee; | arxiv-cs.RO | 2024-03-02 |
| 891 | A Survey on Datasets for The Decision Making of Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicles (AVs) are expected to reshape future transportation systems, and decision making is one of the critical modules toward high-level automated driving. To … |
Yuning Wang; Zeyu Han; Yining Xing; Shaobing Xu; Jianqiang Wang; | IEEE Intelligent Transportation Systems Magazine | 2024-03-01 |
| 892 | Car-Studio: Learning Car Radiance Fields From Single-View and Unlimited In-the-Wild Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Compositional neural scene graph studies have shown that radiance fields can be an efficient tool in an editable autonomous driving simulator. However, previous studies learned … |
Tianyu Liu; Hao Zhao; Yang Yu; Guyue Zhou; Mingdao Liu; | IEEE Robotics and Automation Letters | 2024-03-01 |
| 893 | Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We introduce safe hybrid-action reinforcement learning into discretionary lane change for the first time and propose Parameterized Soft Actor-Critic with PID Lagrangian (PASAC-PIDLag) algorithm. |
Ruichen Xu; Xiao Liu; Jinming Xu; Yuan Lin; | arxiv-cs.RO | 2024-03-01 |
| 894 | A Survey of Vehicle Dynamics Modeling Methods for Autonomous Racing: Theoretical Models, Physical/Virtual Platforms, and Perspectives IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents the first survey of vehicle dynamics modeling methods for autonomous racing. Previous surveys have covered dynamics models for standard autonomous vehicles or, … |
TANTAN ZHANG et. al. | IEEE Transactions on Intelligent Vehicles | 2024-03-01 |
| 895 | Monocular 3D Object Detection Utilizing Auxiliary Learning With Deformable Convolution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In autonomous driving systems, the monocular 3D object detection algorithm is a crucial component. The safety of autonomous vehicles heavily depends on a well-designed detection … |
Jiun-Han Chen; Jeng-Lun Shieh; Muhammad Amirul Haq; S. Ruan; | IEEE Transactions on Intelligent Transportation Systems | 2024-03-01 |
| 896 | Multi-Sensor Environmental Perception and Adaptive Cruise Control of Intelligent Vehicles Using Kalman Filter IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This work aims to analyze the specific application of sensor environment perception based on the Kalman filter algorithm in intelligent vehicles. Hence, this work proposes a … |
Pengcheng Wei; Yushan Zeng; W. Ouyang; Jiahui Zhou; | IEEE Transactions on Intelligent Transportation Systems | 2024-03-01 |
| 897 | A Survey of Integrated Simulation Environments for Connected Automated Vehicles: Requirements, Tools, and Architecture IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Automated and connected vehicles are emerging in the market. Currently, solutions are being proposed to use these technologies for cooperative driving, which can significantly … |
Vitaly G. Stepanyants; A. Romanov; | IEEE Intelligent Transportation Systems Magazine | 2024-03-01 |
| 898 | How to Guarantee Driving Safety for Autonomous Vehicles in A Real-World Environment: A Perspective on Self-Evolution Mechanisms IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: A succession of accidents shows that production vehicles with autonomous driving systems do not work safely in real-world environments, especially when facing unseen scenarios. … |
SHUO YANG et. al. | IEEE Intelligent Transportation Systems Magazine | 2024-03-01 |
| 899 | Shared Lightweight Autonomous Vehicles for Urban Food Deliveries: A Simulation Study Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, their fleet-level behavior remains largely unexplored. To address this gap, we have developed an agent-based model and an environmental impact study assessing the fleet performance of lightweight autonomous food delivery vehicles. |
Ainhoa Genua Cerviño; Naroa Coretti Sanchez; Elaine Liu Wang; Arnaud Grignard; Kent Larson; | arxiv-cs.CY | 2024-02-29 |
| 900 | How to Evaluate Human-likeness of Interaction-aware Driver Models Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This study proposes a method for qualitatively evaluating and designing human-like driver models for autonomous vehicles. |
Jemin Woo; Changsun Ahn; | arxiv-cs.RO | 2024-02-28 |
| 901 | Multi-policy Soft Actor-Critic Reinforcement Learning for Autonomous Racing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Deep reinforcement learning holds immense promise for applications in autonomous driving tasks. For autonomous racing that needs to explore the physical limits of the vehicle in … |
Feifan Tong; Ran Liu; Guodong Yin; Sunan Zhang; Weichao Zhuang; | 2024 IEEE 18th International Conference on Advanced Motion … | 2024-02-28 |
| 902 | ICAT: An Indoor Connected and Autonomous Testbed for Vehicle Computing Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, they often lack the robust sensing and computing infrastructure for advanced research. Addressing these limitations, we introduce the Indoor Connected Autonomous Testbed (ICAT), a platform that not only tackles the unique challenges of indoor autonomous driving but also innovates vehicle computing and V2X communication. |
ZHAOFENG TIAN et. al. | arxiv-cs.RO | 2024-02-27 |
| 903 | DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Leveraging large language models (LLMs) with emergent abilities, we propose the DiLu framework, which combines a Reasoning and a Reflection module to enable the system to perform decision-making based on common-sense knowledge and evolve continuously. |
LICHENG WEN et. al. | iclr | 2024-02-26 |
| 904 | Using Automated Vehicle Data As A Fitness Tracker for Sustainability IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This work describes the use of on-board vehicle data from cars with advanced driver assistance features as a trip summary, with the goal of helping drivers contextualize their … |
Xia Wang; Sobenna Onwumelu; Jonathan Sprinkle; | 2024 Forum for Innovative Sustainable Transportation … | 2024-02-26 |
| 905 | Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a deep learning-based prediction method for autonomous driving lane change behavior, aiming to facilitate safe lane changes and thereby improve road safety. |
Hanyi Yu; Shuning Huo; Mengran Zhu; Yulu Gong; Yafei Xiang; | arxiv-cs.RO | 2024-02-25 |
| 906 | Discretionary Lane-Change Decision and Control Via Parameterized Soft Actor-Critic for Hybrid Action Space Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this research, we conducted autonomous lane-change simulations using both deep reinforcement learning (DRL) and model predictive control (MPC). |
Yuan Lin; Xiao Liu; Zishun Zheng; | arxiv-cs.RO | 2024-02-24 |
| 907 | Initial Indications of Safety of Driverless Automated Driving Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As driverless automated driving systems (ADS) start to operate on public roads, there is an urgent need to understand how safely these systems are managing real-world traffic … |
Jiayu Joyce Chen; S. Shladover; | ArXiv | 2024-02-23 |
| 908 | Learning Inverse Kinodynamics for Autonomous Vehicle Drifting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this work, we explore a data-driven learning-based approach to learning the kinodynamic model of a small autonomous vehicle, and observe the effect it has on motion planning, specifically autonomous drifting. |
M. Suvarna; O. Tehrani; | arxiv-cs.RO | 2024-02-22 |
| 909 | Testing Autonomous Vehicles and AI: Perspectives and Challenges from Cybersecurity, Transparency, Robustness and Fairness Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study explores the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and the … |
D. F. LLORCA et. al. | ArXiv | 2024-02-21 |
| 910 | Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this study, we investigate how well LLMs can adapt and apply a combination of arithmetic and common-sense reasoning, particularly in autonomous driving scenarios. |
Mehdi Azarafza; Mojtaba Nayyeri; Charles Steinmetz; Steffen Staab; Achim Rettberg; | arxiv-cs.CV | 2024-02-21 |
| 911 | DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this work, we propose DeepAccident, a large-scale dataset generated via a realistic simulator containing diverse accident scenarios that frequently occur in real-world driving. |
TIANQI WANG et. al. | aaai | 2024-02-20 |
| 912 | BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: The ability to accurately predict the trajectory of surrounding vehicles is a critical hurdle to overcome on the journey to fully autonomous vehicles. To address this challenge, we pioneer a novel behavior-aware trajectory prediction model (BAT) that incorporates insights and findings from traffic psychology, human behavior, and decision-making. |
HAICHENG LIAO et. al. | aaai | 2024-02-20 |
| 913 | DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: 2D object detection has less computational burden but lacks spatial and geometric information embedded in depth. Therefore, we present DALDet, an efficient depth-aware learning based 2D detector, achieving high-performance object detection for autonomous driving. |
Ke Hu; Tongbo Cao; Yuan Li; Song Chen; Yi Kang; | aaai | 2024-02-20 |
| 914 | Exploiting Polarized Material Cues for Robust Car Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: The large variations in lighting/weather conditions and vehicle densities of the scenes pose significant challenges to existing car detection algorithms to meet the highly accurate perception demand for safety, due to the unstable/limited color information, which impedes the extraction of meaningful/discriminative features of cars. In this work, we present a novel learning-based car detection method that leverages trichromatic linear polarization as an additional cue to disambiguate such challenging cases. |
WEN DONG et. al. | aaai | 2024-02-20 |
| 915 | Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Advancements in technology are steering attention toward creating comfortable and acceptable driving characteristics in autonomous vehicles. Ensuring a safe and comfortable ride … |
Johann Haselberger; Bernhard Schick; Steffen Müller; | ArXiv | 2024-02-20 |
| 916 | DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We introduce DriveVLM, an autonomous driving system leveraging Vision-Language Models (VLMs) for enhanced scene understanding and planning capabilities. |
XIAOYU TIAN et. al. | arxiv-cs.CV | 2024-02-19 |
| 917 | Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper proposes an adaptive behavioral decision-making method for autonomous vehicles (AVs) focusing on complex merging scenarios. |
HEYE HUANG et. al. | arxiv-cs.MA | 2024-02-18 |
| 918 | A Novel Framework for Adaptive Stress Testing of Autonomous Vehicles in Multi-lane Roads Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we propose a novel AST framework to systematically explore corner cases of intelligent driving models that can result in safety concerns involving both longitudinal and lateral vehicle’s movements. |
Linh Trinh; Quang-Hung Luu; Thai M. Nguyen; Hai L. Vu; | arxiv-cs.RO | 2024-02-18 |
| 919 | GenAD: Generative End-to-End Autonomous Driving IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code 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; | arxiv-cs.CV | 2024-02-18 |
| 920 | RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: Moreover, the prohibitively expensive training requirements of MLLM and the unsolved problem of catastrophic forgetting further limit their generalisability post-deployment. To address these challenges, we present RAG-Driver, a novel retrieval-augmented multi-modal large language model that leverages in-context learning for high-performance, explainable, and generalisable autonomous driving. |
JIANHAO YUAN et. al. | arxiv-cs.RO | 2024-02-16 |
| 921 | In-Vehicle Passenger Occupancy Detection Using 60-GHz FMCW Radar Sensor Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Modern autonomous driving vehicles are equipped with a number of sensors to perceive the surrounding environment and enable automation of various systems. Especially, the … |
Sohee Lim; J. Jung; Eunji Lee; Jeongsik Choi; Seong-Cheol Kim; | IEEE Internet of Things Journal | 2024-02-15 |
| 922 | Deep Reinforcement Learning for Autonomous Driving in Amazon Web Services DeepRacer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The development of autonomous driving models through reinforcement learning has gained significant traction. However, developing obstacle avoidance systems remains a challenge. … |
Bohdan Petryshyn; Serhii Postupaiev; Soufiane Ben Bari; A. Ostreika; | Inf. | 2024-02-15 |
| 923 | Design and Realization of A Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper introduces a testbed for evaluating and benchmarking platooning algorithms on 1/10th scale vehicles with onboard sensors. |
Michael Shaham; Risha Ranjan; Engin Kirda; Taskin Padir; | arxiv-cs.RO | 2024-02-14 |
| 924 | Enhanced Deep Q-Learning for 2D Self-Driving Cars: Implementation and Evaluation on A Custom Track Environment Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This research project presents the implementation of a Deep Q-Learning Network (DQN) for a self-driving car on a 2-dimensional (2D) custom track, with the objective of enhancing the DQN network’s performance. |
Sagar Pathak; Bidhya Shrestha; Kritish Pahi; | arxiv-cs.AI | 2024-02-13 |
| 925 | Vehicle Behavior Prediction By Episodic-Memory Implanted NDT Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this work, we explore the interpretability of behavior prediction of target vehicles by an Episodic Memory implanted Neural Decision Tree (abbrev. |
Peining Shen; Jianwu Fang; Hongkai Yu; Jianru Xue; | arxiv-cs.AI | 2024-02-13 |
| 926 | DART: A Compact Platform For Autonomous Driving Research Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the design of a research platform for autonomous driving applications, the Delft’s Autonomous-driving Robotic Testbed (DART). |
Lorenzo Lyons; Thijs Niesten; Laura Ferranti; | arxiv-cs.RO | 2024-02-12 |
| 927 | DART: A Compact Platform for Autonomous Driving Research∗ Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents the design of a research platform for autonomous driving applications, the Delft’s Autonomous-driving Robotic Testbed (DART). Our goal was to design a … |
Lorenzo Lyons; Thijs Niesten; Laura Ferranti; | 2024 IEEE Intelligent Vehicles Symposium (IV) | 2024-02-12 |
| 928 | Risk Assessment and Observation of Driver with Pedestrian Using Instantaneous Heart Rate and HRV Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this study, we observed driver behaviour in certain scenarios which have pedestrian on driving simulator. |
Riku Kikuta; Daniel Carruth; John Ball; Reuben Burch; Ichiro Kageyama; | arxiv-cs.RO | 2024-02-10 |
| 929 | Hierarchical Motion Planning and Offline Robust Model Predictive Control for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Driving vehicles in complex scenarios under harsh conditions is the biggest challenge for autonomous vehicles (AVs). To address this issue, we propose hierarchical motion planning and robust control strategy using the front-active steering system in complex scenarios with various slippery road adhesion coefficients while considering vehicle uncertain parameters. |
Hung Duy Nguyen; Minh Nhat Vu; Nguyen Ngoc Nam; Kyoungseok Han; | arxiv-cs.RO | 2024-02-07 |
| 930 | Leveraging Software Product Lines for Testing Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Extensive testing of Automated Driving Systems (ADS), such as Advanced Driver Assistance Systems and Autonomous Vehicles, is commonly conducted using simulators programmed to … |
Stefan Klikovits; Alessio Gambi; Deepak Dhungana; Rick Rabiser; | Proceedings of the 18th International Working Conference on … | 2024-02-07 |
| 931 | Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This work introduces a novel synchronous multi-agent simulation framework for autonomous vehicles in interactive scenarios. |
Marc Kaufeld; Rainer Trauth; Johannes Betz; | arxiv-cs.RO | 2024-02-07 |
| 932 | OASim: An Open and Adaptive Simulator Based on Neural Rendering for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: With the development of implicit rendering technology and in-depth research on using generative models to produce data at scale, we propose OASim, an open and adaptive simulator and autonomous driving data generator based on implicit neural rendering. |
GUOHANG YAN et. al. | arxiv-cs.CV | 2024-02-06 |
| 933 | A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper thoroughly explores challenges and advances in autonomous racing vehicle design and performance, focusing on Roborace and the Indy Autonomous Challenge (IAC). This review provides a detailed analysis of sensor setups, architectural nuances, and test metrics on these cutting-edge platforms. |
Manuel Mar; Vishnu Chellapandi; Liangqi Yuan; Ziran Wang; Eric Dietz; | arxiv-cs.RO | 2024-02-04 |
| 934 | Synthesizing Follow-Up Drive Data for Enhanced Road Safety in Intelligent Driving Function Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: Such scenarios often suffer from a dearth of available data, primarily due to their inherent complexity and the risks involved. Addressing this gap, our research introduces a novel methodology designed to create a wide array of diverse and realistic safety-critical driving scenarios. |
Nico Schick; Franjo Čičak; | arxiv-cs.RO | 2024-02-04 |
| 935 | Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we focus on improving autonomous driving safety via task offloading from cellular vehicles (CVs), using vehicle-to-infrastructure (V2I) links, to an multi-access edge computing (MEC) server. |
BO YANG et. al. | arxiv-cs.DC | 2024-02-01 |
| 936 | Distributed Fault-Tolerant Formation Control Design Via High-Order Sliding Mode for A Team of Car-Like Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study proposes a distributed fault-tolerant formation control scheme for a team of car-like vehicles with actuator faults. The proposed method includes a fault diagnostic … |
Mahmoud Hussein; Youmin Zhang; Zhaoheng Liu; | IEEE Transactions on Intelligent Vehicles | 2024-02-01 |
| 937 | Transforming Transportation: Safe and Secure Vehicular Communication and Anomaly Detection With Intelligent Cyber–Physical System and Deep Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Intelligent Cyber-Physical Transportation Systems (ICTS) rely deeply on data exchange between moving vehicles and fixed infrastructure. While exchanging data between vehicles in … |
H. ALEISA et. al. | IEEE Transactions on Consumer Electronics | 2024-02-01 |
| 938 | The Challenges of Driving Mode Switching in Automated Vehicles: A Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The conversion between automated and manual driving is currently an inevitable topic for automated vehicles. Firstly, from the concepts, types, and key issues of driving mode … |
Lin Hu; Hai Cai; Jing Huang; Dongpu Cao; Xin Zhang; | IEEE Transactions on Vehicular Technology | 2024-02-01 |
| 939 | Car-Following Behavior Modeling With Maximum Entropy Deep Inverse Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Modeling driving behavior plays a pivotal role in advancing the development of human-like autonomous driving. In light of this, this paper proposes a car-following behavior … |
JIANGFENG NAN et. al. | IEEE Transactions on Intelligent Vehicles | 2024-02-01 |
| 940 | Multi-agent Path Finding for Cooperative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this work, we hybridize insights and algorithms from MAPF with the structure and heuristics of optimizing the crossing order of CAVs at signal-free intersections. |
Zhongxia Yan; Han Zheng; Cathy Wu; | arxiv-cs.MA | 2024-01-31 |
| 941 | Continuous Performance Improvement of Infrastructure Guidance Service for Autonomous Cooperative Driving: Focusing on Data-centric AI Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Infrastructure services in autonomous cooperative driving are providing various applications along with the development of edge computing technology. While existing infrastructure … |
Jaehwan Kim; Jinkyung Jeon; Jieun Park; Seungkwon Jung; | 2024 International Conference on Electronics, Information, … | 2024-01-28 |
| 942 | GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We introduce an autonomous driving simulator with photorealistic scenes, meanwhile keeping a user-friendly workflow. |
LIGUO ZHOU et. al. | arxiv-cs.RO | 2024-01-28 |
| 943 | V2X Communication Technology Trends in South Korea Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In 2022, 196,836 traffic accidents occurred, resulting in 2,735 deaths, a decrease of 6.2% from the previous year, but the number of deaths in accidents involving two-wheeled … |
Ki-Taeg Lim; Seonghyun Jang; Byoungman An; Sanghun Yoon; | 2024 International Conference on Electronics, Information, … | 2024-01-28 |
| 944 | Environment Perception of Autonomous Vehicle Based on Internet of Things Using Mask R-CNN: Multi Environment Adaptability Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicle based on the Internet of Things (IoT) need accurate and reliable environmental awareness, which is the basis for high-quality autonomous driving. However, … |
Yushui Xiao; Yucheng Dong; | Proceedings of the 2024 International Conference on Power … | 2024-01-19 |
| 945 | BadODD: Bangladeshi Autonomous Driving Object Detection Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We propose a comprehensive dataset for object detection in diverse driving environments across 9 districts in Bangladesh. |
Mirza Nihal Baig; Rony Hajong; Mahdi Murshed Patwary; Mohammad Shahidur Rahman; Husne Ara Chowdhury; | arxiv-cs.CV | 2024-01-19 |
| 946 | Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we investigate unicast-based CP among CAV pairs. |
Kaige Qu; Weihua Zhuang; Qiang Ye; Wen Wu; Xuemin Shen; | arxiv-cs.NI | 2024-01-18 |
| 947 | Geo-locating Road Objects Using Inverse Haversine Formula with NVIDIA Driveworks Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: We present a measurement pipeline suitable for autonomous driving (AD) platforms and provide detailed guidelines for calibrating cameras using NVIDIA DriveWorks. |
Mamoona Birkhez Shami; Gabriel Kiss; Trond Arve Haakonsen; Frank Lindseth; | arxiv-cs.RO | 2024-01-15 |
| 948 | ACAV: A Framework for Automatic Causality Analysis in Autonomous Vehicle Accident Recordings IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: While effective at finding violations, these approaches do not identify the decisions and actions that \emph{caused} them — information that is critical for improving the safety of ADSs. To address this challenge, we propose ACAV, an automated framework designed to conduct causality analysis for AV accident recordings in two stages. |
Huijia Sun; Christopher M. Poskitt; Yang Sun; Jun Sun; Yuqi Chen; | arxiv-cs.SE | 2024-01-13 |
| 949 | Robust Control for Autonomous Vehicle Lateral Dynamics: A Comparative Study of Gain-Schedule LPV and Non-linear MPC* Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The increasing demand for autonomous vehicles necessitates advanced control strategies, particularly for managing complex driving scenarios like high-speed turns. In this study, … |
Ahmad Abubakar; Mohammed B. Mohiuddin; Oussama Abdul Hay; M. Yakubu; Ruqqayya Alhammadi; | 2024 8th International Conference on Robotics, Control and … | 2024-01-12 |
| 950 | Autonomous Vehicle Security: Current Survey and Future Research Challenges IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advancement in technology and the adoption of innovative developments have made our lives easier. Every industry, from agriculture to transport, has experienced this … |
Isha Pali; Ruhul Amin; Mohammad Abdussami; | Security and Privacy | 2024-01-11 |
| 951 | Enhancing Platoon Performance: A Novel Approach to Speed and Direction Control Using V2X Communication Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous vehicle platoons have become an increasingly popular solution to enhance driving system performance and facilitate the safe integration of these vehicles on the roads. … |
A. Boubakri; S. Gammar; | International Journal of Knowledge-Based and Intelligent … | 2024-01-11 |
| 952 | Advanced Road Safety: Collective Perception for Probability of Collision Estimation of Connected Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the dynamic landscape of vehicular communication systems, connected vehicles (CVs) present unprecedented capabilities in perception, cooperation, and, notably, probability of … |
Sabrine Belmekki; Dominique Gruyer; | Comput. | 2024-01-09 |
| 953 | Comparing Real and Simulated Performance for An Off‐road Autonomous Ground Vehicle in Obstacle Avoidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This field report presents the results of a study of obstacle detection and avoidance (ODOA) by an autonomous ground vehicle (AGV) in off‐road driving conditions. This study … |
DANIEL W. CARRUTH et. al. | Journal of Field Robotics | 2024-01-08 |
| 954 | Autonomous Driving of Personal Mobility By Imitation Learning from Small and Noisy Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The concept of personal mobility is getting popular, and its autonomous driving specialized for individual drivers is expected for a new step. However, a large driving dataset is … |
Taisuke Kobayashi; Takahito Enomoto; | 2024 IEEE/SICE International Symposium on System … | 2024-01-08 |
| 955 | Blockchain Model for Reliable Consensus Algorithm on The Autonomous Driving Data Management Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper seeks to propose a reliable data management system for communication and agreement between nodes based on a blockchain system platform to safely and systematically … |
Jimin Ryu; Yeonsu Lee; Y. Yoon; | 2024 IEEE International Conference on Consumer Electronics … | 2024-01-06 |
| 956 | Deep Reinforcement Learning for Local Path Following of An Autonomous Formula SAE Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the use of Deep Reinforcement Learning (DRL) and Inverse Reinforcement Learning (IRL) to map locally-observed cone positions to a desired steering angle for race track following. |
Harvey Merton; Thomas Delamore; Karl Stol; Henry Williams; | arxiv-cs.RO | 2024-01-05 |
| 957 | Exploring The Role of AR Cognitive Interface in Enhancing Human-Vehicle Collaborative Driving Safety: A Design Perspective Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In autonomous driving vehicles, the heterogeneity between human and automation agents can cause conflicts in decision-making and behaviour due to the difference in perception of … |
Fang You; Yuwei Liang; Qianwen Fu; Jun Zhang; | International Journal of Human–Computer Interaction | 2024-01-04 |
| 958 | Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: However, current autonomous driving systems are mostly based on a single vehicle, which has significant limitations which still poses threats to driving safety. Collaborative perception with connected and autonomous vehicles (CAVs) shows a promising solution to overcoming these limitations. |
Senkang Hu; Zhengru Fang; Yiqin Deng; Xianhao Chen; Yuguang Fang; | arxiv-cs.CV | 2024-01-03 |
| 959 | Predicting Pedestrian Movement in Unsignalized Crossings: A Contextual Cue-Based Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: To ensure safe and secure coexistence between pedestrians and autonomous vehicles (AVs), AVs must be able to anticipate pedestrian behavior and respond to it. This research … |
Kaliprasana Muduli; Vikas Sahu; Indrajit Ghosh; | 2024 16th International Conference on COMmunication Systems … | 2024-01-03 |
| 960 | Millimeter- Wave Vehicle-to-Infrastructure Communications for Autonomous Vehicles: Location-Aided Beam Forecasting in 6G IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The rise of autonomous vehicles has generated substantial interest due to their potential to transform transportation, enhance safety, and reduce traffic congestion in urban … |
OMIKUMAR B. MAKADIA et. al. | 2024 16th International Conference on COMmunication Systems … | 2024-01-03 |
| 961 | Dynamic Path Planning for Autonomous Vehicles: A Neuro-Symbolic Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: : The rise of autonomous vehicles has transformed transportation, promising safer and more efficient mobility. Dynamic path planning is crucial in autonomous driving, requiring … |
Omar Elrasas; Nourhan Ehab; Yasmin Mansy; Amr El Mougy; | International Conference on Agents and Artificial … | 2024-01-01 |
| 962 | Impact of Aging on Driver Preferences for Self-Driving Modes and Behaviors in Two Traffic Complexities Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study investigates age-related distinctions in preferences for self-driving vehicles, exploring their connections with traffic-related elements and individual perceptions. … |
Hyowon Lee; Siby Samuel; | IEEE Access | 2024-01-01 |
| 963 | Highly Redundant Safety Scheme and Its Experimental Validation for The Electronic-Controlled Pneumatic Braking System of Commercial Vehicle for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: With the relentless progression in autonomous driving and chassis control technologies, the safety requirements for commercial vehicle braking systems have intensified. Ensuring … |
H. BAO et. al. | IEEE Access | 2024-01-01 |
| 964 | Real Time Car Model and Plate Detection System By Using Deep Learning Architectures IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advent of deep learning has revolutionized computer vision, enabling real-time analysis crucial for traffic management and vehicle identification. This research introduces a … |
Twana Mustafa; Murat Karabatak; | IEEE Access | 2024-01-01 |
| 965 | Nonlinear Terminal-Free MPC on Multitype Bend Tracking With Discontinuous Reference Paths for Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In this article, multitype bend tracking with discontinuous reference paths is researched by a nonlinear terminal-free model predictive control (MPC) with an artificial reference … |
Hai Zhao; Hongjiu Yang; Yuanqing Xia; Z. Zuo; | IEEE Transactions on Industrial Electronics | 2024-01-01 |
| 966 | Driving Towards Inclusion: Revisiting In-Vehicle Interaction in Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a comprehensive literature review of the current state of in-vehicle human-computer interaction (HCI) in the context of self-driving vehicles, with a specific … |
Ashish Bastola; Julian Brinkley; Hao Wang; Abolfazl Razi; | ArXiv | 2024-01-01 |
| 967 | Object Detection in Adverse Weather for Autonomous Vehicles Based on Sensor Fusion and Incremental Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Object detection is critical for autonomous vehicles. It enables safe and efficient autonomous driving. However, variations in weather conditions, such as night, fog, rain, and … |
HUIPING SU et. al. | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 968 | Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment Related Papers Related Patents Related Grants Related Venues Related Experts View Save |
CAN CUI et. al. | ArXiv | 2024-01-01 |
| 969 | Platoon Joint EKF for Improved Road Friction Estimation in Autonomous Platoons Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advantages inherent to autonomous vehicle platoons render them a pivotal component in the evolution of intelligent transportation systems. Given the minimal spacing between … |
Liang Su; Yan Chen; Feng Zhang; Yong Zhang; G. Gong; | IEEE Access | 2024-01-01 |
| 970 | Self-Driving Car Navigation With Single-Beam LiDAR and Neural Networks Using JavaScript Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents the development of a system for simulating and visualizing autonomous vehicle navigation using a single-beam LiDAR sensor integrated with an artificial neural … |
Trung Thi Hoa Trang Nguyen; Thanh Toan Dao; Thanh Binh Ngo; Vu Anh Phi; | IEEE Access | 2024-01-01 |
| 971 | A Risk-Field Based Motion Planning Method for Multi-Vehicle Conflict Scenario IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the present studies of autonomous driving systems, motion planning of automated vehicles in complex traffic scenarios is a tough issue. The problem of adjusting automated … |
Zhaojie Wang; G. Lu; Haitian Tan; Miaomiao Liu; | IEEE Transactions on Vehicular Technology | 2024-01-01 |
| 972 | LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Learning-based approaches hold great potential for autonomous urban driving motion planning. Compared to traditional rule-based methods, they offer greater flexibility in planning … |
Zihan Yu; Meixin Zhu; Kehua Chen; Xiaowen Chu; Xuesong Wang; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 973 | Trajectory Optimization and Robust Tracking Control for Off-Road Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a control strategy for real-time trajectory optimization and robust path tracking for unmanned off-road vehicles to ensure both stability and performance. The … |
Seongil Hong; Gyuhyun Park; | IEEE Access | 2024-01-01 |
| 974 | Pose and Shape Estimation of Humans in Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As autonomous driving technologies advance, occupants are expected to be free from driving, diversifying interaction scenarios with vehicles. Despite the growing importance of … |
Kwang-Lim Ko; Jun-Sang Yoo; Chang-Woo Han; Jungyeop Kim; Seung-Won Jung; | IEEE Transactions on Intelligent Transportation Systems | 2024-01-01 |
| 975 | Formal Methods for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This article describes the impact that autonomous vehicle operation will have on a range of domains and how formal methods can guarantee the safe operation of those vehicles. The … |
Gregory Provan; Tiziana Margaria; | IT Professional | 2024-01-01 |
| 976 | Targetless External Reference Calibration of LiDAR and Camera in Autonomous Driving Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: A safe and reliable autonomous vehicle system depends largely on accurate location of obstacles in the environment, and precise calibration between light detection and ranging … |
HAO WU et. al. | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 977 | Tube-Based Robust Model Predictive Control for Tracking Control of Autonomous Articulated Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Articulated vehicles play a critical role in the transportation industry, but the rise in truck-related accidents necessitates effective solutions. Autonomous driving presents a … |
Dasol Jeong; Seibum B. Choi; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 978 | Motion Planning for Urban Autonomous Bus Considering Localization Uncertainty Using Offset-Free MPC Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This study proposes a novel motion planning strategy to address localization uncertainty in autonomous buses. Conventional motion planning algorithms utilize information from … |
Ara Jo; Woojin Kwon; Kyoungsu Yi; | IEEE Access | 2024-01-01 |
| 979 | People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: . Cognitive science can help us understand which explanations people might expect, and in which format they frame these explanations, whether causal, counterfactual, or … |
Balint Gyevnar; Stephanie Droop; Tadeg Quillien; | ArXiv | 2024-01-01 |
| 980 | An Edge-Based Digital Twin Framework for Connected and Autonomous Vehicles: Design and Evaluation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Connected and Autonomous Vehicles (CAVs) will be provided with multiple sensing and connectivity options as well as embedded computing and decision-making capabilities. The … |
C. CAMPOLO et. al. | IEEE Access | 2024-01-01 |
| 981 | Integrated Driver Pose Estimation for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: : Human-machine interaction, especially driver posture estimation is important to the development of autonomous driving, which can facilitate safe and smooth driving behaviours. … |
Xiao Cao; Wei Hu; Hui Liu; | International Joint Conference on Biomedical Engineering … | 2024-01-01 |
| 982 | Multi-Object Tracking Algorithm for Unmanned Vehicle Autonomous Driving Scene Based on Online Spatiotemporal Feature Correlation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Aiming at the problem that the multi-object tracking algorithm is difficult to accurately design the object feature model and data association algorithm in the process of unmanned … |
Haijun Li; Zhuye Xu; Changxi Ma; Xiao Tang; | IEEE Access | 2024-01-01 |
| 983 | Optimizing Longitudinal Velocity Control Via Self-Supervised Learning and Deep Deterministic Policy Gradient Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Artificial intelligence (AI) in autonomous vehicles (AVs) is gaining much focus on safety, comfort, and efficiency. The goal is to provide the driver with assistance and mimic … |
Fahmida Islam; I. M. M. N. Member; I. J. E. B. Member; A. C. T. Goodin; Fahmida Islam; | IEEE Access | 2024-01-01 |
| 984 | Occlusion-Aware Planning for Autonomous Driving With Vehicle-to-Everything Communication IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Navigating safely through occlusion scenarios remains challenging for Autonomous Vehicles (AVs) due to onboard sensors with obstructed Fields of View (FoVs). Integrating … |
Chi Zhang; Florian Steinhauser; Gereon Hinz; Alois Knoll; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 985 | Modular Learning: Agile Development of Robust Traffic Sign Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Autonomous driving is an important research domain with great impact for the future traffic communication. The trend of self-driving car will affect the design of vehicles that … |
Yu-Hsun Lin; Yong-Sheng Wang; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 986 | Human–Machine Interfaces: A Review for Autonomous Electric Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Human-Machine Interfaces (HMIs) play an important role in ensuring performance reliability to create safety and comfort during the operation of autonomous vehicles, by efficiently … |
JESUS A. MANDUJANO-GRANILLO et. al. | IEEE Access | 2024-01-01 |
| 987 | Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Simulation testing based on virtual scenarios can improve the efficiency of safety testing for high-level autonomous vehicles (AVs). In most traffic scenarios, such as merging … |
Wenli Li; Fanke Qiu; Lingxi Li; Yinan Zhang; Kan Wang; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 988 | An Ethical Behavioral Decision Algorithm Awaring of VRUs for Autonomous Vehicle Trajectory Planning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: The advancement in autonomous vehicle technology’s independence and ethical considerations have led to the development of the field of machine ethics. The issue of ensuring the … |
Xiangyun Li; Jielin Li; Kai Gao; | IEEE Access | 2024-01-01 |
| 989 | Comparative Survey of Embedded System Implementations of Convolutional Neural Networks in Autonomous Cars Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: In the rapidly evolving field of autonomous cars, advanced deep learning systems have ushered in a new era of innovation, enabling the integration of unique features into … |
Mohammad Cheshfar; M. H. Maghami; Parviz Amiri; Hossein Gharaee Garakani; Luciano Lavagno; | IEEE Access | 2024-01-01 |
| 990 | A Car-Following Model Integrating Personalized Driving Style Based on The DER-DDPG Deep Reinforcement Learning Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Decision-making and control play a crucial role in autonomous driving to ensure the safety and efficiency of vehicle operation. With the development of intelligent driving … |
Chuan Ran; Zhijun Xie; Yuntao Xie; Yang Yin; Hongwu Ye; | IEEE Access | 2024-01-01 |
| 991 | Revolutionizing Automotive Technology: Unveiling The State of Vehicular Sensors and Biosensors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicular sensors and biosensors have become integral to modern automotive technology, driving advancements in vehicle safety, performance optimization, and driver well-being. … |
Raparthi Yaswanth; Ieee M. RAJASEKHARA BABU Member; | IEEE Access | 2024-01-01 |
| 992 | IdentifierIDS: A Practical Voltage-Based Intrusion Detection System for Real In-Vehicle Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: As innovative technologies such as autonomous driving, over-the-air technology, and vehicle-to-everything are widely applied to intelligent connected vehicles, people can gain a … |
Zhouyan Deng; Jiajia Liu; Yijie Xun; Junman Qin; | IEEE Transactions on Information Forensics and Security | 2024-01-01 |
| 993 | Scalable Game-Theoretic Decision-Making for Self-Driving Cars at Unsignalized Intersections Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Sharing the road with human drivers requires autonomous vehicles to account for interactions between them. To resolve traffic conflicts in unsignalized intersections, a robust … |
Mingfeng Yuan; J. Shan; Hunter Schofield; | IEEE Transactions on Industrial Electronics | 2024-01-01 |
| 994 | Research on Pedestrian Tracking Technology for Autonomous Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Real-time detection and tracking of pedestrian targets is a critical aspect of autonomous driving. However, due to complex road conditions, bad weather and other factors, … |
Xiaoyan Zhang; Miao Wang; | IEEE Access | 2024-01-01 |
| 995 | Socially Intelligent Path-Planning for Autonomous Vehicles Using Type-2 Fuzzy Estimated Social Psychology Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: This paper presents a novel framework for socially aware path-planning in autonomous vehicles, integrating Social Value Orientation (SVO) within Artificial Potential Fields (APF) … |
Victor Rasidescu; Hamid Taghavifar; | IEEE Access | 2024-01-01 |
| 996 | AD-VILS: Implementation and Reliability Validation of Vehicle-in-the-Loop Simulation Platform for Evaluating Autonomous Driving Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Vehicle-in-the-loop simulation (VILS) is a vehicle-testing technique that integrates high-fidelity simulation environments with real-world vehicles. Among existing simulation … |
Taeyoung Oh; Yunchul Ha; Dayeon Yoo; Jinwoo Yoo; | IEEE Access | 2024-01-01 |
| 997 | Challenges of Remote Driving on Public Roads Using 5G Public Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: : Teleoperation, in the form of remotely controlling a vehicle (remote driving), is an important bridging technology until fully autonomous vehicles become available. Currently, … |
Adrien Bellanger; Michael Klöppel-Gersdorf; Joerg Holfeld; Lars Natkowski; Thomas Otto; | International Conference on Vehicle Technology and … | 2024-01-01 |
| 998 | Optimizing Automotive MIMO Radar Detection With Regression Modeling-Based Correlation Test Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Persistent automation of driving functions results in development of advanced driver assistance systems (ADAS) into fully autonomous driving systems. The environmental sensing … |
H. S. Fouda; Heba S. Dawood; Mostafa M. Fouda; S. I. Farghaly; | IEEE Access | 2024-01-01 |
| 999 | Constraints Driven Safe Reinforcement Learning for Autonomous Driving Decision-Making Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Although reinforcement learning (RL) methodologies exhibit potential in addressing decision-making and planning problems in autonomous driving, ensuring the safety of the vehicle … |
Fei Gao; Xiaodong Wang; Yuze Fan; Zhenhai Gao; Rui Zhao; | IEEE Access | 2024-01-01 |
| 1000 | LiDAR-Based Obstacle Avoidance With Autonomous Vehicles: A Comprehensive Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Save Abstract: Research on autonomous vehicles (AV) – self-navigating machines that transport both man and cargo has proliferated lately. While once limited to industrial or military uses, more … |
Pui Yee Leong; Nur Syazreen Ahmad; | IEEE Access | 2024-01-01 |