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 | Application of YOLOv8 in Monocular Downward Multiple Car Target Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By integrating structural reparameterization technology, a bidirectional pyramid structure network model, and a novel detection pipeline into the YOLOv8 framework, the proposed approach achieves highly efficient and precise detection of multi-scale, small, and remote objects. |
Shijie Lyu; | arxiv-cs.CV | 2025-05-15 |
| 2 | 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 View 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 |
| 3 | Explaining Autonomous Vehicles with Intention-aware Policy Graphs Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 4 | M3CAD: Towards Generic Cooperative Autonomous Driving Benchmark Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 5 | X-Driver: Explainable Autonomous Driving with Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 6 | PaniCar: Securing The Perception of Advanced Driving Assistance Systems Against Emergency Vehicle Lighting Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 7 | Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel roadside unit (RSU)-centric cooperative driving system leveraging global perception and vehicle-to-infrastructure (V2I) communication. |
Taoyuan Yu; Kui Wang; Zongdian Li; Tao Yu; Kei Sakaguchi; | arxiv-cs.RO | 2025-05-07 |
| 8 | DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 9 | Risk Assessment and Threat Modeling for Safe Autonomous Driving Technology Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 10 | DriveNetBench: An Affordable and Configurable Single-Camera Benchmarking System for Autonomous Driving Networks Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 11 | LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To systematically examine advances and limitations of VLMs in driving tasks, we introduce LightEMMA, a Lightweight End-to-End Multimodal Model for Autonomous driving. |
Zhijie Qiao; Haowei Li; Zhong Cao; Henry X. Liu; | arxiv-cs.RO | 2025-05-01 |
| 12 | Composite Safety Potential Field for Highway Driving Risk Assessment Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 13 | Digital Twin-Empowered Cooperative Autonomous Car-sharing Services: Proof-of-Concept Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 14 | Cybersecurity for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 15 | Imitation Learning for Autonomous Driving: Insights from Real-World Testing Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 16 | Safety Interventions Against Adversarial Patches in An Open-Source Driver Assistance System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we evaluate the resilience of a widely used ADAS against safety-critical attacks that target perception inputs. |
CHENG CHEN et. al. | arxiv-cs.CR | 2025-04-26 |
| 17 | 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 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 |
| 18 | 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 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 |
| 19 | Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the DeepScenario Open 3D Dataset (DSC3D), a high-quality, occlusion-free dataset of 6 degrees of freedom bounding box trajectories acquired through a novel monocular camera drone tracking pipeline. |
OUSSEMA DHAOUADI et. al. | arxiv-cs.CV | 2025-04-24 |
| 20 | Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While dynamics models used in model-based control can be learned from real-world data, they often struggle to generalize to unseen terrain, making real-time adaptation essential. We propose a novel framework that combines a Kalman filter-based online adaptation scheme with meta-learned parameters to address these challenges. |
JACOB LEVY et. al. | arxiv-cs.RO | 2025-04-23 |
| 21 | Pose Optimization for Autonomous Driving Datasets Using Neural Rendering Models Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 22 | A Knowledge-Informed Deep Learning Paradigm for Generalizable and Stability-Optimized Car-Following Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, these models typically focus on behavioral fidelity and do not support the explicit optimization of local and string stability, which are increasingly important for the safe and efficient operation of autonomous vehicles (AVs). To address these limitations, we propose a Knowledge-Informed Deep Learning (KIDL) paradigm that distills the generalization capabilities of pre-trained Large Language Models (LLMs) into a lightweight and stability-aware neural architecture. |
CHENGMING WANG et. al. | arxiv-cs.AI | 2025-04-19 |
| 23 | Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, unifying these tasks poses significant challenges, such as constructing shared contextual representations and handling the unobservability of other vehicles’ states. To address these challenges, we propose TTOG, a novel two-stage trajectory generation framework. |
Lin Liu; Ziying Song; Hongyu Pan; Lei Yang; Caiyan Jia; | arxiv-cs.CV | 2025-04-17 |
| 24 | Self-Supervised Traversability Learning with Online Prototype Adaptation for Off-Road Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 25 | 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 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 |
| 26 | Vision Based Driving Agent for Race Car Simulation Environments Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 27 | ADDT — A Digital Twin Framework for Proactive Safety Validation in Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 28 | Datasets for Lane Detection in Autonomous Driving: A Comprehensive Review Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 29 | 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 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 |
| 30 | 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 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 |
| 31 | Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 32 | 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 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 |
| 33 | CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 34 | On Learning Racing Policies with Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, ensuring reliable operation in challenging corner cases requires control algorithms capable of performing at the vehicle limits. We address this requirement by considering the task of autonomous racing and propose solving it by learning a racing policy using Reinforcement Learning (RL). |
Grzegorz Czechmanowski; Jan Węgrzynowski; Piotr Kicki; Krzysztof Walas; | arxiv-cs.RO | 2025-04-03 |
| 35 | Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 36 | A Benchmark for Vision-Centric HD Mapping By V2I Systems Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 37 | OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 38 | 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 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 |
| 39 | AccidentSim: Generating Physically Realistic Vehicle Collision Videos from Real-World Accident Reports Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 40 | ADS-Edit: A Multimodal Knowledge Editing Dataset for Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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. | arxiv-cs.CL | 2025-03-26 |
| 41 | Bandwidth Allocation for Cloud-Augmented Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 42 | Multi-Agent Deep Reinforcement Learning for Safe Autonomous Driving with RICS-Assisted MEC Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 43 | Predicting Multitasking in Manual and Automated Driving with Optimal Supervisory Control Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 44 | Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To improve the perception quality in AD for a region, we propose Sense4FL, a vehicular crowdsensing-enhanced FL framework featuring trajectory-dependent vehicular training data collection. |
YANAN MA et. al. | arxiv-cs.RO | 2025-03-22 |
| 45 | Multi-modality Anomaly Segmentation on The Road Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 46 | Depth Matters: Multimodal RGB-D Perception for Robust Autonomous Agents Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 47 | A Vehicle-Infrastructure Multi-layer Cooperative Decision-making Framework Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 48 | 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 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 |
| 49 | GASP: Unifying Geometric and Semantic Self-Supervised Pre-training for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 50 | Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization Using Aerial Data Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 51 | Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 52 | Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 53 | UniDrive: Towards Universal Driving Perception Across Camera Configurations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present UniDrive, a novel framework for vision-centric autonomous driving to achieve universal perception across camera configurations.To evaluate the effectiveness of our framework, we collect a dataset on CARLA by driving the same routes while only modifying the camera configurations. |
Ye Li; Wenzhao Zheng; Xiaonan Huang; Kurt Keutzer; | iclr | 2025-03-17 |
| 54 | Car-1000: A New Large Scale Fine-Grained Visual Categorization Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 55 | 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 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 |
| 56 | Controllable Latent Diffusion for Traffic Simulation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 57 | 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 Highlight: In addition, it remains a challenge to match multiple trajectories with each vehicle in the video to control the video generation. To address above issues, a driving World Model named EOT-WM is proposed in this paper, unifying Ego-Other vehicle Trajectories in videos. |
JIAN ZHU et. al. | arxiv-cs.CV | 2025-03-12 |
| 58 | CoLMDriver: LLM-based Negotiation Benefits Cooperative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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; | arxiv-cs.CV | 2025-03-11 |
| 59 | Edge AI-Powered Real-Time Decision-Making for Autonomous Vehicles in Adverse Weather Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel Edge AI-driven real-time decision-making framework designed to enhance AV responsiveness under adverse weather conditions. |
Milad Rahmati; | arxiv-cs.RO | 2025-03-11 |
| 60 | ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 61 | RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 62 | Combating Partial Perception Deficit in Autonomous Driving with Multimodal LLM Commonsense Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 63 | Learning to Drive By Imitating Surrounding Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a data augmentation strategy that enhances imitation learning by leveraging the observed trajectories of nearby vehicles, captured through the AV’s sensors, as additional expert demonstrations. |
Yasin Sonmez; Hanna Krasowski; Murat Arcak; | arxiv-cs.RO | 2025-03-07 |
| 64 | Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 65 | Research on A Driver’s Perceived Risk Prediction Model Considering Traffic Scene Interaction Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 66 | Enhancing Autonomous Driving Safety with Collision Scenario Integration Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 67 | Impact of Level 2/3 Automated Driving Technology on Road Work Zone Safety Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 68 | Road Boundary Detection Using 4D MmWave Radar for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 69 | Vehicle Top Tag Assisted Vehicle-Road Cooperative Localization For Autonomous Public Buses Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Concrete solutions of vehicle top tag detection and vehicle top tag localization that instantiate the core part of the proposed methodology are presented. |
Hao Li; Yifei Sun; Bo Liu; Linbin Wang; | arxiv-cs.RO | 2025-03-01 |
| 70 | AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 71 | Trajectory-to-Action Pipeline (TAP): Automated Scenario Description Extraction for Autonomous Vehicle Behavior Comparison Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces the Trajectory-to-Action Pipeline (TAP), a scalable and automated method for extracting SDL labels from large trajectory datasets. |
Aron Harder; Madhur Behl; | arxiv-cs.RO | 2025-02-27 |
| 72 | 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 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 |
| 73 | Minds on The Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 74 | Exploring The Effects of Traditional Chinese Medicine Scents on Mitigating Driving Fatigue Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 75 | Automatic Vehicle Detection Using DETR: A Transformer-Based Approach for Navigating Treacherous Roads Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 76 | A Brain-Inspired Perception-Decision Driving Model Based on Neural Pathway Anatomical Alignment Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 77 | 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 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 |
| 78 | Getting SMARTER for Motion Planning in Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce SMARTS 2.0, the second generation of our motion planning simulator which, in addition to being highly optimized for large-scale simulation, provides many new features, such as realistic map integration, vehicle-to-vehicle (V2V) communication, traffic and pedestrian simulation, and a broad variety of sensor models. |
Montgomery Alban; Ehsan Ahmadi; Randy Goebel; Amir Rasouli; | arxiv-cs.RO | 2025-02-19 |
| 79 | AI-Augmented Metamorphic Testing for Comprehensive Validation of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 80 | V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 81 | 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 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 |
| 82 | Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in A Driving Scene Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the very first solution, using a combination of simulated collaborative data and real ego-car data. |
TAI-YU PAN et. al. | arxiv-cs.CV | 2025-02-10 |
| 83 | Safeguarding Connected Autonomous Vehicle Communication: Protocols, Intra- and Inter-vehicular Attacks and Defenses Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 84 | 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 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 |
| 85 | 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 Highlight: In this paper, we present an artificial race driver (ARD) to learn the vehicle dynamics, plan and execute minimum-time maneuvers on a 3D track. |
Mattia Piccinini; Sebastiano Taddei; Johannes Betz; Francesco Biral; | arxiv-cs.RO | 2025-02-05 |
| 86 | Driver Assistance System Based on Multimodal Data Hazard Detection Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 87 | From Accidents to Insights: Leveraging Multimodal Data for Scenario-Driven ADS Testing Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 88 | TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although Deep Reinforcement Learning (DRL) and Large Language Models (LLMs) each show promise in addressing decision-making challenges in autonomous driving, DRL often suffers from high sample complexity, while LLMs have difficulty ensuring real-time decision making. To address these limitations, we propose TeLL-Drive, a hybrid framework that integrates a Teacher LLM to guide an attention-based Student DRL policy. |
CHENGKAI XU et. al. | arxiv-cs.AI | 2025-02-03 |
| 89 | Eliminating Uncertainty of Driver’s Social Preferences for Lane Change Decision-Making in Realistic Simulation Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 90 | 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 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 |
| 91 | Analysis of The Motion Sickness and The Lack of Comfort in Car Passengers IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 92 | DISC: Dataset for Analyzing Driving Styles In Simulated Crashes for Mixed Autonomy Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 93 | LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 94 | 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 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 |
| 95 | 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 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 |
| 96 | Select2Drive: Pragmatic Communications for Real-Time Collaborative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Vehicle-to-Everything communications-assisted Autonomous Driving (V2X-AD) has witnessed remarkable advancements in recent years, with pragmatic communications (PragComm) emerging as a promising paradigm for real-time collaboration among vehicles and other agents.Simultaneously, extensive research has explored the interplay between collaborative perception and decision-making in end-to-end driving frameworks.In this work, we revisit the collaborative driving problem and propose the Select2Drive framework to optimize the utilization of limited computational and communication resources.Particularly, to mitigate cumulative latency in perception and decision-making, Select2Drive introduces Distributed Predictive Perception (DPP) by formulating an active prediction paradigm and simplifies high-dimensional semantic feature prediction into computation cost-efficient, motion-aware reconstruction. |
Jiahao Huang; Jianhang Zhu; Rongpeng Li; Zhifeng Zhao; Honggang Zhang; | arxiv-cs.CE | 2025-01-21 |
| 97 | Car-GS: Addressing Reflective and Transparent Surface Challenges in 3D Car Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 98 | 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 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 |
| 99 | Modeling Language for Scenario Development of Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 100 | Explore The Use of Time Series Foundation Model for Car-Following Behavior Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 101 | 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 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 |
| 102 | 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 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 |
| 103 | Vision-Language Models for Autonomous Driving: CLIP-Based Dynamic Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 104 | 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 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 |
| 105 | The Global Consensus on The Risk Management of Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In a global experimental study in eight countries with different cultural backgrounds and almost 11,000 participants, we compared risk distribution preferences. |
Sebastian Krügel; Matthias Uhl; | arxiv-cs.CY | 2025-01-09 |
| 106 | Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 107 | Research on Vehicle Detection Based on Improved YOLOv8 Network Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 108 | DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 109 | Revolutionizing Mobility:The Latest Advancements in Autonomous Vehicle Technology Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 110 | Leveraging Large Language Models for Enhancing Autonomous Vehicle Perception Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 111 | Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: On the other hand, a critical advancement in this space is using pre-trained Generative Large Language Models (LLMs) for decision-making and communication optimization for autonomous driving. Hence, this work presents opportunities and challenges with a vision of realizing the full potential of these technologies in critical defense applications, especially through the advancement of IoADV and its role in enhancing autonomous military operations. |
Murat Arda Onsu; Poonam Lohan; Burak Kantarci; | arxiv-cs.NI | 2024-12-28 |
| 112 | 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 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 |
| 113 | GSAVS: Gaussian Splatting-based Autonomous Vehicle Simulator Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 114 | EPN: An Ego Vehicle Planning-Informed Network for Target Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 115 | SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 116 | SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 117 | Performance Evaluation of ROS2-DDS Middleware Implementations Facilitating Cooperative Driving in Autonomous Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 118 | ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 119 | 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 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 |
| 120 | Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 121 | VTD: Visual and Tactile Database for Driver State and Behavior Perception Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 122 | Learning Based MPC for Autonomous Driving Using A Low Dimensional Residual Model Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 123 | Data Fusion of Semantic and Depth Information in The Context of Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 124 | HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In terms of rendering, We tackle challenges of novel view synthesis in closed-loop scenarios, including viewpoint extrapolation and 360-degree vehicle rendering. |
HONGYU ZHOU et. al. | arxiv-cs.CV | 2024-12-02 |
| 125 | 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 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 |
| 126 | Deep Reinforcement Learning for Autonomous Driving Based on Safety Experience Replay Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 127 | Quantitative Estimation of Driver Cognitive Workload: A Dual-Stage Learning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Conditional Automated Driving (CAD) has attracted widespread attention due to the substantial gap in achieving fully autonomous driving, wherein an essential endeavor entails … |
Jieyu Zhu; Chengqi Lv; Yanli Ma; Haohan Yang; Yaping Zhang; | IEEE Transactions on Intelligent Transportation Systems | 2024-12-01 |
| 128 | A Survey of Multi-Vehicle Consensus in Uncertain Networks for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 129 | RoadGen: Generating Road Scenarios for Autonomous Vehicle Testing Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 130 | AdvFuzz: Finding More Violations Caused By The EGO Vehicle in Simulation Testing By Adversarial NPC Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose the concept of adversarial NPC vehicles and introduce AdvFuzz, a novel simulation testing approach, to generate adversarial scenarios on main lanes (e.g., urban roads and highways). |
You Lu; Yifan Tian; Dingji Wang; Bihuan Chen; Xin Peng; | arxiv-cs.SE | 2024-11-29 |
| 131 | A Cost-Effective Approach to Smooth A* Path Planning for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 132 | Explainable Deep Learning Improves Human Mental Models of Self-driving Cars Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 133 | 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 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 |
| 134 | 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 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 |
| 135 | LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 136 | 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 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 |
| 137 | High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 138 | On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 139 | V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 140 | Explanation for Trajectory Planning Using Multi-modal Large Language Model for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 141 | HOW RIDE SHARING AND AUTONOMOUS VEHICLES IMPACT CUSTOMER USAGE AND RELIABILITY Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 142 | Autonomous Vehicle Safety Reasoning Utilizing Anticipatory Theory Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 143 | AUTONOMY MODELING AND VALIDATION IN A HIGHLY UNCERTAIN ENVIRONMENT Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 144 | 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 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 |
| 145 | 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 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 |
| 146 | DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 147 | DP and QP Based Decision-making and Planning for Autonomous Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 148 | 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 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 |
| 149 | Developing A Safety Management System for The Autonomous Vehicle Industry Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 150 | A Risk Model and Analysis Method for The Psychological Safety of Human and Autonomous Vehicles Interaction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Through a review of existing safety techniques, the paper defines psychological safety in the context of autonomous vehicles, proposes a risk model to identify and assess psychological risks, and adopts a system-theoretic analysis method. |
YANDIKA SIRGABSOU et. al. | arxiv-cs.HC | 2024-11-08 |
| 151 | Nudge: Haptic Pre-Cueing to Communicate Automotive Intent Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 152 | Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 153 | 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 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 |
| 154 | Game-Theoretic Lane Change Decision-Making Method Considering Traffic Trend Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to improve the safety and adaptability of the lane-changing decision process of autonomous vehicle, a lane-changing decision-making method considering the traffic trend … |
XINGHAO LU et. al. | IEEE Transactions on Industrial Electronics | 2024-11-01 |
| 155 | Research on Vehicle Trajectory Prediction Methods in Urban Main Road Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 156 | Human-Vehicle Shared Steering Control for Obstacle Avoidance: A Reference-Free Approach With Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 157 | Smart Traffic Monitoring Through Real-Time Moving Vehicle Detection Using Deep Learning Via Aerial Images for Consumer Application Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 158 | YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 159 | EMMA: End-to-End Multimodal Model for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce EMMA, an End-to-end Multimodal Model for Autonomous driving. |
JYH-JING HWANG et. al. | arxiv-cs.CV | 2024-10-30 |
| 160 | Self-Driving Car Racing: Application of Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 161 | An Efficient Approach to Generate Safe Drivable Space By LiDAR-Camera-HDmap Fusion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an accurate and robust perception module for Autonomous Vehicles (AVs) for drivable space extraction. |
MINGHAO NING et. al. | arxiv-cs.RO | 2024-10-29 |
| 162 | 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 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 |
| 163 | Empowering Autonomous Shuttles with Next-Generation Infrastructure Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 164 | 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 Highlight: In this study, we propose a novel multi-task DMS, termed VDMoE, which leverages RGB video input to monitor driver states non-invasively. |
JIYAO WANG et. al. | arxiv-cs.CV | 2024-10-28 |
| 165 | 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 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 |
| 166 | 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 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 |
| 167 | Pedestrian Motion Prediction Evaluation for Urban Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 168 | Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We argue that we can, and must. |
ALEXANDER KRENTSEL et. al. | arxiv-cs.NI | 2024-10-21 |
| 169 | Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Experiments, and Challenges Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 170 | Learning Autonomous Driving from Aerial Imagery Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 171 | Design of DQN-Based Path Tracking Algorithm for Robust Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 172 | An Online Self-learning Graph-based Lateral Controller for Self-Driving Cars Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 173 | 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 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 |
| 174 | Generating Driving Simulations Via Conversation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To aid the testing of autonomous vehicles in simulation, we design a natural language interface, using an instruction-following large language model, to assist a non-coding domain expert in synthesising the desired scenarios and vehicle behaviours. |
Rimvydas Rubavicius; Antonio Valerio Miceli-Barone; Alex Lascarides; Subramanian Ramamoorthy; | arxiv-cs.CL | 2024-10-13 |
| 175 | Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 176 | 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 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 |
| 177 | Autonomous Driving in Unstructured Environments: How Far Have We Come? Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 178 | Overcoming Autoware-Ubuntu Incompatibility in Autonomous Driving Systems-Equipped Vehicles: Lessons Learned Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 179 | STOP! Camera Spoofing Via The In-Vehicle IP Network Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 180 | Data-driven Diffusion Models for Enhancing Safety in Autonomous Vehicle Traffic Simulations Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 181 | Latency Analysis of In-Vehicle Network for Advanced Driver Assistance System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 182 | A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 183 | Behavior Trees in Functional Safety Supervisors for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 184 | Modeling and Robust H∞ Control Synthesis of The CAV-HDV Heterogeneous Traffic System With Different Car-Following Modes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 185 | Spatio-Temporal Corridor-Based Motion Planning of Lane Change Maneuver for Autonomous Driving in Multi-Vehicle Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 186 | A Security Protocol for Vehicle Platoon Verification Using Optical Camera Communications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 187 | 3D Skeleton Aware Driver Behavior Recognition Framework for Autonomous Driving System Related Papers Related Patents Related Grants Related Venues Related Experts View |
Rongtian Huo; Junkang Chen; Ye Zhang; Qing Gao; | Neurocomputing | 2024-10-01 |
| 188 | Safe Reinforcement Learning in Autonomous Driving With Epistemic Uncertainty Estimation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 189 | Evaluating Autonomous Vehicle Safety Performance Through Analysis of Pre-Crash Trajectories of Powered Two-Wheelers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 190 | VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 191 | TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 192 | WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 193 | Generative End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 194 | PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 195 | Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 196 | Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 197 | VAP: The Vulnerability-Adaptive Protection Paradigm Toward Reliable Autonomous Machines Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 198 | Multimodal Trajectory Prediction for Autonomous Driving on Unstructured Roads Using Deep Convolutional Network Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 199 | Discovering New Shadow Patterns for Black-Box Attacks on Lane Detection of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel approach to generate AEs using what we term negative shadows: deceptive patterns of light on the road created by strategically blocking sunlight, which then cast artificial lane-like patterns. |
PEDRAM MOHAJERANSARI et. al. | arxiv-cs.CR | 2024-09-26 |
| 200 | Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 201 | BoT-Drive: Hierarchical Behavior and Trajectory Planning for Autonomous Driving Using POMDPs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces BoT-Drive, a planning algorithm that addresses uncertainties at both behavior and trajectory levels within a Partially Observable Markov Decision Process (POMDP) framework. |
Xuanjin Jin; Chendong Zeng; Shengfa Zhu; Chunxiao Liu; Panpan Cai; | arxiv-cs.RO | 2024-09-26 |
| 202 | A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 203 | Analyzing Privacy Implications of Data Collection in Android Automotive OS Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 204 | Dynamic Game-Theoretical Decision-Making Framework for Vehicle-Pedestrian Interaction with Human Bounded Rationality Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, it assumes complete human rationality and unlimited reasoning abilities, which is unrealistic. To solve this limitation and improve model accuracy, this paper proposes a novel framework that integrates the partially observable markov decision process with behavioral game theory to dynamically model AV-pedestrian interactions at the unsignalized intersection. |
Meiting Dang; Dezong Zhao; Yafei Wang; Chongfeng Wei; | arxiv-cs.RO | 2024-09-23 |
| 205 | SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 206 | Using High-Level Patterns to Estimate How Humans Predict A Robot Will Behave Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 207 | DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these models often sacrifice interpretability, posing significant challenges to trust, safety, and regulatory compliance. To address these issues, we introduce DRIVE — Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving, a comprehensive framework designed to improve the dependability and stability of explanations in end-to-end unsupervised autonomous driving models. |
SONGNING LAI et. al. | arxiv-cs.RO | 2024-09-16 |
| 208 | Digital Twin Test Method With LTE-V2X for Autonomous Vehicle Safety Test Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of test method is essential for assessing autonomous vehicle safety. How to ensure real vehicle dynamic performance and create more critical scenarios is the … |
Jianyu Duan; Zhen Wang; Xiaopu Jing; | IEEE Internet of Things Journal | 2024-09-15 |
| 209 | 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 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 |
| 210 | Behavioral Cloning Models Reality Check for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 211 | MAPS: Energy-Reliability Tradeoff Management in Autonomous Vehicles Through LLMs Penetrated Science Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 212 | Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 213 | 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 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 |
| 214 | Distributed Learning in Intelligent Transportation Systems: A Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 215 | Neural HD Map Generation from Multiple Vectorized Tiles Locally Produced By Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 216 | 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 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 |
| 217 | Want A Ride? Attitudes Towards Autonomous Driving and Behavior in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 218 | Mutual Benefit: The Case for Sharing Autonomous Vehicle Data with The Public Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 219 | 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 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 |
| 220 | Situation-aware Autonomous Driving Decision Making with Cooperative Perception on Demand Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 221 | A Research Testbed for Intelligent and Cooperative Driving in Mixed Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 222 | 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 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 |
| 223 | Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 224 | Transient Fault Tolerant Semantic Segmentation for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We address the latter by examining fault-tolerance in semantic segmentation models. |
LEONARDO IURADA et. al. | arxiv-cs.CV | 2024-08-29 |
| 225 | Passenger Hazard Perception Based on EEG Signals for Highly Automated Driving Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 226 | CooTest: An Automated Testing Approach for V2X Communication Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 227 | Fast and Modular Autonomy Software for Autonomous Racing Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 228 | Data Privacy and Security in Autonomous Connected Vehicles in Smart City Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 229 | 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 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 |
| 230 | 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 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 |
| 231 | 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 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 |
| 232 | ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 233 | Integrating Naturalistic Insights in Objective Multi-Vehicle Safety Framework Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 234 | CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A major research bottleneck is the lack of large-scale annotated datasets encompassing vision, language, and action. To address this issue, we propose CoVLA (Comprehensive Vision-Language-Action) Dataset, an extensive dataset comprising real-world driving videos spanning more than 80 hours. |
HIDEHISA ARAI et. al. | arxiv-cs.CV | 2024-08-19 |
| 235 | Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 236 | Understanding Cyclists’ Perception of Driverless Vehicles Through Eye-tracking and Interviews Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 237 | V2X-VLM: End-to-End V2X Cooperative Autonomous Driving Through Large Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces V2X-VLM, an innovative E2E vehicle-infrastructure cooperative autonomous driving (VICAD) framework with Vehicle-to-Everything (V2X) systems and large vision-language models (VLMs). |
JUNWEI YOU et. al. | arxiv-cs.RO | 2024-08-17 |
| 238 | Keep Calm and Relax — HMI for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 239 | 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 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 |
| 240 | A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a learning-based algorithm tailored to foster safe and efficient driving behaviors across varying levels of traffic flows in roundabouts. |
ZHIHAO LIN et. al. | arxiv-cs.RO | 2024-08-15 |
| 241 | IIT Bombay Racing Driverless: Autonomous Driving Stack for Formula Student AI Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 242 | Field Testing and Detection of Camera Interference for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 243 | VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 244 | 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 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 |
| 245 | 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 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 |
| 246 | Communication-Aware Consistent Edge Selection for Mobile Users and Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A joint allocation method of communication and computation of APs is proposed to minimize computational load, service latency, and interruptions with the overarching goal of maximizing QoS. |
Nazish Tahir; Ramviyas Parasuraman; Haijian Sun; | arxiv-cs.NI | 2024-08-06 |
| 247 | Research on Autonomous Driving Decision-making Strategies Based Deep Reinforcement Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 248 | 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 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 |
| 249 | 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 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 |
| 250 | 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 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 |
| 251 | An Integrated Vision-Based Perception and Control for Lane Keeping of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 252 | 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 |
Qiaoli Yang; Jiaqi Zhang; | J. Comput. Sci. | 2024-08-01 |
| 253 | 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 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 |
| 254 | 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 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 |
| 255 | SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 256 | Haptic Feedback of Front Car Motion Can Improve Driving Control Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 257 | 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 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 |
| 258 | 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 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 |
| 259 | WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 260 | $μ$Drive: User-Controlled Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 261 | Utilizing Genetic Algorithms for Generating Critical Scenarios for Testing Autonomous Driving Functions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 262 | TRAVERSE: Traffic-Responsive Autonomous Vehicle Experience & Rare-event Simulation for Enhanced Safety Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 263 | Accurate Cooperative Localization Utilizing LiDAR-equipped Roadside Infrastructure for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 264 | Towards Human-Like Driving: Active Inference in Autonomous Vehicle Control Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 265 | NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 266 | 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 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 |
| 267 | Robust Meta-Learning of Vehicle Yaw Rate Dynamics Via Conditional Neural Processes Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 268 | VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 269 | GenFollower: Enhancing Car-Following Prediction with Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 270 | JaywalkerVR: A VR System for Collecting Safety-Critical Pedestrian-Vehicle Interactions Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 271 | Enhancing Autonomous Driving Navigation Using Soft Actor-Critic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 272 | Behavioural Gap Assessment of Human-vehicle Interaction in Real and Virtual Reality-based Scenarios in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 273 | Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 274 | Research on Reliable and Safe Occupancy Grid Prediction in Underground Parking Lots Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study tackles indoor autonomous driving, particularly in overlooked spaces like underground parking lots. |
JiaQi Luo; | arxiv-cs.AI | 2024-07-02 |
| 275 | Ego Vehicle Trajectory Prediction Based on Time-Feature Encoding and Physics-Intention Decoding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 276 | 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 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 |
| 277 | Autonomous Driving Decision Algorithm for Complex Multi-Vehicle Interactions: An Efficient Approach Based on Global Sorting and Local Gaming Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 278 | Set-based Trajectory Planning for A Car-like Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 279 | An Integrated Framework of Lateral and Longitudinal Behavior Decision-Making for Autonomous Driving Using Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 280 | An AR-Based Meta Vehicle Road Cooperation Testing Systems: Framework, Components Modeling, and An Implementation Example Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 281 | Evolutionary Decision-Making and Planning for Autonomous Driving: A Hybrid Augmented Intelligence Framework Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 282 | Acceleration Method for Generating Perception Failure Scenarios Based on Editing Markov Process Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 283 | 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 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 |
| 284 | Limited Information Aggregation for Collaborative Driving in Multi-Agent Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 285 | Interaction of Autonomous and Manually Controlled Vehicles Multiscenario Vehicle Interaction Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 286 | ADS Modeling and Safety Verification in Extreme Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles play a vital role in improving traffic efficiency and reducing traffic accidents. The spatio-temporal data in driving scenarios is complex and unpredictable, … |
Ying Zhao; Yi Zhu; Li Zhao; Zexin Li; Chan Yin; | 2024 IEEE 24th International Conference on Software … | 2024-07-01 |
| 287 | A Comprehensive Survey on High-Definition Map Generation and Maintenance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 288 | Autonomous Cornering Control Based on Sense of Circular Vision Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 289 | 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 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 |
| 290 | Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 291 | A Rule-Based Behaviour Planner for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 292 | 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 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 |
| 293 | Cooperative Advisory Residual Policies for Congestion Mitigation Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 294 | 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 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 |
| 295 | LCSim: A Large-Scale Controllable Traffic Simulator Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose \textit{LCSim}, a large-scale controllable traffic simulator. |
YUHENG ZHANG et. al. | arxiv-cs.RO | 2024-06-28 |
| 296 | 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 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 |
| 297 | MARVIN: Mobile Autonomous Robot Vehicle for Investigation & Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 298 | GPT-4V Explorations: Mining Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 299 | MetaFollower: Adaptable Personalized Autonomous Car Following Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 300 | EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 301 | Research on Multi-sensor Information Fusion Technology Based on Driverless Vehicle Driving Platforms Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yuli Wang; | CAIBDA | 2024-06-21 |
| 302 | 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 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 |
| 303 | LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The perception systems of autonomous vehicles face significant challenges under adverse conditions, with issues such as obscured objects and false detections due to environmental … |
YUXIAO ZHANG et. al. | Remote. Sens. | 2024-06-20 |
| 304 | GTP-UDrive: Unified Game-Theoretic Trajectory Planner and Decision-Maker for Autonomous Driving in Mixed Traffic Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Understanding the interdependence between autonomous and human-operated vehicles remains an ongoing challenge, with significant implications for the safety and feasibility of autonomous driving.This interdependence arises from inherent interactions among road users.Thus, it is crucial for Autonomous Vehicles (AVs) to understand and analyze the intentions of human-driven vehicles, and to display behavior comprehensible to other traffic participants.To this end, this paper presents GTP-UDRIVE, a unified game-theoretic trajectory planner and decision-maker considering a mixed-traffic environment. |
Nouhed Naidja; Guillaume Sandou; Stéphane Font; Marc Revilloud; | arxiv-cs.RO | 2024-06-20 |
| 305 | Winning Through Simplicity: Autonomous Car Design for Formula Student Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 306 | A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 307 | UAV-based Intelligent Information Systems on Winter Road Safety for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 308 | Enhancing Emergency Stop Safety Using DDS-Based Vehicle External Communication Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 309 | 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 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 |
| 310 | Classical and Quantum Physical Reservoir Computing for Onboard Artificial Intelligence Systems: A Perspective Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 311 | Infrared Adversarial Car Stickers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we propose a physical attack method against infrared detectors based on 3D modeling which is applied to a real car. |
Xiaopei Zhu; Yuqiu Liu; Zhanhao Hu; Jianmin Li; Xiaolin Hu; | cvpr | 2024-06-13 |
| 312 | 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 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 |
| 313 | PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As of yet however there has been no systematic analysis of the necessity of these modules or the impact of their connectivity placement and internal representations on overall driving performance. Addressing this gap our work conducts a comprehensive exploration of the design space of end-to-end modular AV stacks. |
Xinshuo Weng; Boris Ivanovic; Yan Wang; Yue Wang; Marco Pavone; | cvpr | 2024-06-13 |
| 314 | Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 315 | HoloVIC: Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To further enhance the accuracy of roadside perception and provide better information to the vehicle side in this paper we constructed holographic intersections with various layouts to build a large-scale multi-sensor holographic vehicle-infrastructure cooperation dataset called HoloVIC. |
CONG MA et. al. | cvpr | 2024-06-13 |
| 316 | 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 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 |
| 317 | Driving Everywhere with Large Language Model Policy Adaptation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 318 | MSU-4S – The Michigan State University Four Seasons Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 319 | UruBots Autonomous Car Team Two: Team Description Paper for FIRA 2024 Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 320 | UruBots Autonomous Cars Team One Description Paper for FIRA 2024 Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 321 | 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 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 |
| 322 | 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 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 |
| 323 | ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel physical-world adversarial patch attack, ControlLoc, designed to exploit hijacking vulnerabilities in entire AD visual perception. |
CHEN MA et. al. | arxiv-cs.CV | 2024-06-09 |
| 324 | A Superalignment Framework in Autonomous Driving with Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 325 | 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 Highlight: This paper summarizes an autonomous driving project by musculoskeletal humanoids. |
KENTO KAWAHARAZUKA et. al. | arxiv-cs.RO | 2024-06-08 |
| 326 | 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 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 |
| 327 | Real-time Motion Planning for Autonomous Vehicles in Dynamic Environments Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 328 | Correlation of Software-in-the-Loop Simulation with Physical Testing for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 329 | Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 330 | Predictive Braking on A Nonplanar Road Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 331 | Poster: Fast Field-of-View Expansion for Collaborative Object Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 332 | Homotopic Optimization for Autonomous Vehicle Maneuvering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 333 | A LiDAR-based Approach to Autonomous Racing with Model-free Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 334 | 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 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 |
| 335 | ICOP: Image-based Cooperative Perception for End-to-End Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 336 | 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 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 |
| 337 | A Review on Scenario Generation for Testing Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 338 | 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 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 |
| 339 | Point Cloud Automatic Annotation Framework for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 340 | 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 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 |
| 341 | Analyzing Take-over Event of Autonomous Vehicle for Driving Safety Evaluation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 342 | 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 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 |
| 343 | 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 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 |
| 344 | 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 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 |
| 345 | Audiovisual Affect Recognition for Autonomous Vehicles: Applications and Future Agendas Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 346 | 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 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 |
| 347 | Driving Behavior Prediction Based on Combined Neural Network Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 348 | Angle Tracking and Fault-Tolerant Control of Steer-by-Wire System With Dual Three-Phase Motor for Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 349 | 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 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 |
| 350 | Decision-Making for Autonomous Vehicles in Random Task Scenarios at Unsignalized Intersection Using Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study constructs a decision-making control framework for autonomous ego vehicles (AEVs) based on Soft Actor-Critic (SAC) in a random driving task scenario at an unsignalized … |
WENXUAN XIAO et. al. | IEEE Transactions on Vehicular Technology | 2024-06-01 |
| 351 | A Railway Accident Prevention System Using An Intelligent Pilot Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 352 | Architectural Framework to Enhance Image-Based Vehicle Positioning for Advanced Functionalities Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The growing number of vehicles on the roads has resulted in several challenges, including increased accident rates, fuel consumption, pollution, travel time, and driving stress. … |
Iosif-Alin Beti; P. Herghelegiu; C. Caruntu; | Inf. | 2024-05-31 |
| 353 | 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 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 |
| 354 | 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 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 |
| 355 | 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 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 |
| 356 | OpenConvoy: Universal Platform for Real-World Testing of Cooperative Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 357 | Is A 3D-Tokenized LLM The Key to Reliable Autonomous Driving? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, we introduce DETR-style 3D perceptrons as 3D tokenizers, which connect LLM with a one-layer linear projector. |
YIFAN BAI et. al. | arxiv-cs.CV | 2024-05-28 |
| 358 | 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 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 |
| 359 | 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 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 |
| 360 | A Two-Level Stochastic Model for The Lateral Movement of Vehicles Within Their Lane Under Homogeneous Traffic Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a two-level stochastic approach to model the lateral movement of vehicles within their lane during road-following maneuvers under homogeneous traffic conditions. |
Nicole Neis; Juergen Beyerer; | arxiv-cs.RO | 2024-05-27 |
| 361 | 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 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 |
| 362 | Driving Behavior Extraction Based on Eyes Movement Patterns Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 363 | HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 364 | Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 365 | Toward B5G/6G Connected Autonomous Vehicles: O-RAN-Driven Millimeter-Wave Beam Management and Handover Management Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 366 | Cooperative Visual-LiDAR Extrinsic Calibration Technology for Intersection Vehicle-Infrastructure: A Review Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Concluding with a summary, we present our future-oriented ideas and hypotheses. |
XINYU ZHANG et. al. | arxiv-cs.CV | 2024-05-16 |
| 367 | CarDreamer: Open-Source Learning Platform for World-Model-Based Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 368 | CarDreamer: Open-Source Learning Platform for World Model Based Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 369 | Overtaking Mechanisms Based on Augmented Intelligence for Autonomous Driving: Data Sets, Methods, and Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 370 | Work-in-Progress: Crash Course: Can (Under Attack) Autonomous Driving Beat Human Drivers? Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 371 | Uncertainty-aware Reinforcement Learning for Autonomous Driving with Multimodal Digital Driver Guidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 372 | Light It Up: Evaluating Versatile Autonomous Vehicle-Cyclist External Human-Machine Interfaces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 373 | 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 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 |
| 374 | Hierarchical Learned Risk-Aware Planning Framework for Human Driving Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 375 | Probing Multimodal LLMs As World Models for Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 376 | 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 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 |
| 377 | 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 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 |
| 378 | 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 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 |
| 379 | 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 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 |
| 380 | An Advanced Framework for Ultra-Realistic Simulation and Digital Twinning for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 381 | Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-Lane Scenarios [Research Frontier] [Research Frontier] Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 382 | Distributed Model Predictive Control for Heterogeneous Platoon With Leading Human-Driven Vehicle Acceleration Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 383 | Predicting Pedestrian Crossing Behavior at Unsignalized Mid-Block Crosswalks Using Maximum Entropy Deep Inverse Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 384 | Personalized Driving Behavior Oriented Autonomous Vehicle Control for Typical Traffic Situations Related Papers Related Patents Related Grants Related Venues Related Experts View |
HAORAN LI et. al. | J. Frankl. Inst. | 2024-05-01 |
| 385 | 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 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 |
| 386 | GAD-Generative Learning for HD Map-Free Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 387 | Matching 5G Connected Vehicles to Sensed Vehicles for Safe Cooperative Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 388 | Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 389 | 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 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 |
| 390 | Redefining Safety for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 391 | Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 392 | Driver Activity Classification Using Generalizable Representations from Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 393 | Collaborative Perception Datasets in Autonomous Driving: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 394 | Should Teleoperation Be Like Driving in A Car? Comparison of Teleoperation HMIs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 395 | Reinforcement Learning-Based Car-Following Control for Autonomous Vehicles with OTFS Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 396 | Physical Backdoor Attack Can Jeopardize Driving with Vision-Large-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 397 | An Online Spatial-Temporal Graph Trajectory Planner for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 398 | End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 399 | Modeling The Lane-Change Reactions to Merging Vehicles for Highway On-Ramp Simulations Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 400 | Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 401 | 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 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 |
| 402 | 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 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 |
| 403 | WROOM: An Autonomous Driving Approach for Off-Road Navigation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 404 | Maturity of Vehicle Digital Twins: From Monitoring to Enabling Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 405 | D2E-An Autonomous Decision-making Dataset Involving Driver States and Human Evaluation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 406 | VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Trajectory similarity search plays an essential role in autonomous driving, as it enables vehicles to analyze the information and characteristics of different trajectories to make … |
MING CHENG et. al. | ArXiv | 2024-04-11 |
| 407 | Monocular 3D Lane Detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 408 | 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 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 |
| 409 | Autonomous Driving Small-Scale Cars: A Survey of Recent Development Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 410 | AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 411 | 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 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 |
| 412 | 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 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 |
| 413 | Advanced Methods and Algorithms for Selected Connected Autonomous Vehicles (CAVs) Benefits Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 414 | 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 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 |
| 415 | A Spatiotemporal Backdoor Attack Against Behavior-Oriented Decision Makers in Metaverse: From Perspective of Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 416 | Motion Planning and Control of Autonomous Aggressive Vehicle Maneuvers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 417 | A Self-Trajectory Prediction Approach for Autonomous Vehicles Using Distributed Decouple LSTM Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 418 | 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 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 |
| 419 | End-to-End Autonomous Driving Through V2X Cooperation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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. | arxiv-cs.RO | 2024-03-31 |
| 420 | Deep Reinforcement Learning in Autonomous Car Path Planning and Control: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 421 | LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 422 | 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 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 |
| 423 | ENet-21: An Optimized Light CNN Structure for Lane Detection Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 424 | Situation Awareness for Driver-Centric Driving Style Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 425 | PLoc: A New Evaluation Criterion Based on Physical Location for Autonomous Driving Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 426 | GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 427 | UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain Gaps Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we address a gap in existing unsupervised domain adaptation approaches on LiDAR-based 3D object detection, which have predominantly concentrated on adapting between established, high-density autonomous driving datasets. |
Maciej K Wozniak; Mattias Hansson; Marko Thiel; Patric Jensfelt; | arxiv-cs.CV | 2024-03-26 |
| 428 | Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 429 | A Method for Mapping V2X Communication Requirements to Highly Automated and Autonomous Vehicle Functions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The significance of V2X (Vehicle-to-Everything) technology in the context of highly automated and autonomous vehicles can hardly be overestimated. While V2X is not considered a … |
Árpád Takács; T. Haidegger; | Future Internet | 2024-03-25 |
| 430 | LLM-Powered Synthetic Environments for Self-Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 431 | Autonomous Driving With Perception Uncertainties: Deep-Ensemble Based Adaptive Cruise Control Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 432 | M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 433 | Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With that said, automotive researchers have not yet rigorously explored safety benefits and consequences of explanations in end-to-end autonomous driving. This paper aims to bridge the gaps between these topics and seeks to answer the following research question: What are safety implications of explanations in end-to-end autonomous driving? |
Shahin Atakishiyev; Mohammad Salameh; Randy Goebel; | arxiv-cs.RO | 2024-03-18 |
| 434 | 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 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 |
| 435 | TrajectoryNAS: A Neural Architecture Search for Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 436 | Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 437 | Driving Style Alignment for LLM-powered Driver Agent Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 438 | Are You A Robot? Detecting Autonomous Vehicles from Behavior Analysis Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 439 | 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 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 |
| 440 | Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an innovative approach leveraging CNNs that achieves an accuracy of nearly 96\%, highlighting the potential for even greater precision through advanced localization techniques. |
Dhruv Toshniwal; Saurabh Loya; Anuj Khot; Yash Marda; | arxiv-cs.CV | 2024-03-13 |
| 441 | Interaction of Autonomous and Manually Controlled Vehicles Multiscenario Vehicle Interaction Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 442 | Real-time 3D Semantic Occupancy Prediction for Autonomous Vehicles Using Memory-efficient Sparse Convolution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce an approach that extracts features from front-view 2D camera images and LiDAR scans, then employs a sparse convolution network (Minkowski Engine), for 3D semantic occupancy prediction. |
Samuel Sze; Lars Kunze; | arxiv-cs.RO | 2024-03-13 |
| 443 | 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 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 |
| 444 | 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 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 |
| 445 | Personalizing Interfaces to Humans with User-Friendly Priors Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 446 | 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 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 |
| 447 | 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 |
HÉCTOR AVILÉS et. al. | Appl. Artif. Intell. | 2024-03-11 |
| 448 | Design Exploration of Robotic In-car Accessories for Semi-autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 449 | On Depth Prediction for Autonomous Driving Using Self-supervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 450 | A Detection and Filtering Framework for Collaborative Localization Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 451 | Pedestrian-Vehicle Interaction in Shared Space: Insights for Autonomous Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a video observation investigating pedestrian reactions to a small, automation-capable vehicle driven manually in shared spaces based on a long-term naturalistic driving dataset. |
Yiyuan Wang; Luke Hespanhol; Stewart Worrall; Martin Tomitsch; | arxiv-cs.HC | 2024-03-07 |
| 452 | RACE-SM: Reinforcement Learning Based Autonomous Control for Social On-Ramp Merging Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 453 | Improved LiDAR Odometry and Mapping Using Deep Semantic Segmentation and Novel Outliers Detection Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 454 | HoloVic:Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle-to-everything (V2X) is a popular topic in the field of Autonomous Driving in recent years. Vehicle-infrastructure cooperation (VIC) becomes one of the important research … |
CONG MA et. al. | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-03-05 |
| 455 | Cooperative and Interaction-aware Driver Model for Lane Change Maneuver Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 456 | 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 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 |
| 457 | 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 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 |
| 458 | Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 459 | 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 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 |
| 460 | 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 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 |
| 461 | Monocular 3D Object Detection Utilizing Auxiliary Learning With Deformable Convolution Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 462 | Multi-Sensor Environmental Perception and Adaptive Cruise Control of Intelligent Vehicles Using Kalman Filter Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 463 | 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 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 |
| 464 | How to Guarantee Driving Safety for Autonomous Vehicles in A Real-World Environment: A Perspective on Self-Evolution Mechanisms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 465 | Shared Lightweight Autonomous Vehicles for Urban Food Deliveries: A Simulation Study Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 466 | A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces the Human-Like Trajectory Prediction (HLTP) model, which adopts a teacher-student knowledge distillation framework inspired by human cognitive processes. |
HAICHENG LIAO et. al. | arxiv-cs.AI | 2024-02-29 |
| 467 | How to Evaluate Human-likeness of Interaction-aware Driver Models Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 468 | ICAT: An Indoor Connected and Autonomous Testbed for Vehicle Computing Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 469 | DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 470 | Using Automated Vehicle Data As A Fitness Tracker for Sustainability IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 471 | 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 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 |
| 472 | 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 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 |
| 473 | Learning Inverse Kinodynamics for Autonomous Vehicle Drifting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 474 | Exploring The Influence of Driving Context on Lateral Driving Style Preferences: A Simulator-Based Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Technological advancements focus on developing comfortable and acceptable driving characteristics in autonomous vehicles. Present driving functions predominantly possess … |
Johann Haselberger; Maximilian Böhle; Bernhard Schick; Steffen Müller; | ArXiv | 2024-02-22 |
| 475 | Event-triggered Model Predictive-preview Control Strategy for Trajectory Tracking of Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes an event-triggered model predictive-preview control strategy for autonomous vehicle trajectory tracking. First, the dynamic equation is established based on … |
Jindou Zhang; Yanrong Lu; Zhiwen Wang; Yanpeng Hu; Yu Wu; | Trans. Inst. Meas. Control | 2024-02-22 |
| 476 | 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 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 |
| 477 | Hybrid Reasoning Based on Large Language Models for Autonomous Car Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 478 | DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 479 | 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 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 |
| 480 | DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 481 | Exploiting Polarized Material Cues for Robust Car Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 482 | Self-Perception Versus Objective Driving Behavior: Subject Study of Lateral Vehicle Guidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 483 | DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 484 | 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 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 |
| 485 | GenAD: Generative End-to-End Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 486 | 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 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 |
| 487 | 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 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 |
| 488 | CASTNet: A Context-Aware, Spatio-Temporal Dynamic Motion Prediction Ensemble for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles are cyber-physical systems that combine embedded computing and deep learning with physical systems to perceive the world, predict future states, and safely … |
Trier Mortlock; A. Malawade; Kohei Tsujio; M. A. Faruque; | ACM Transactions on Cyber-Physical Systems | 2024-02-16 |
| 489 | In-Vehicle Passenger Occupancy Detection Using 60-GHz FMCW Radar Sensor Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 490 | In-Vehicle Digital Forensics for Connected and Automated Vehicles With Public Auditing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Connected and autonomous vehicles produce a substantial amount of data that is essential for implementing advanced and intelligent features. Given the importance and the volume of … |
Jiangtao Li; Zhaoheng Song; Zihou Zhang; Yufeng Li; Chenhong Cao; | IEEE Internet of Things Journal | 2024-02-15 |
| 491 | Deep Reinforcement Learning for Autonomous Driving in Amazon Web Services DeepRacer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 492 | Design and Realization of A Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 493 | 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 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 |
| 494 | Vehicle Behavior Prediction By Episodic-Memory Implanted NDT Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 495 | DART: A Compact Platform For Autonomous Driving Research Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 496 | DART: A Compact Platform for Autonomous Driving Research∗ Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 497 | 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 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 |
| 498 | Hierarchical Motion Planning and Offline Robust Model Predictive Control for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 499 | Leveraging Software Product Lines for Testing Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 500 | 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 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 |
| 501 | OASim: An Open and Adaptive Simulator Based on Neural Rendering for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 502 | 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 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 |
| 503 | A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 504 | Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 505 | 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 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 |
| 506 | Transforming Transportation: Safe and Secure Vehicular Communication and Anomaly Detection With Intelligent Cyber–Physical System and Deep Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 507 | The Challenges of Driving Mode Switching in Automated Vehicles: A Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 508 | Car-Following Behavior Modeling With Maximum Entropy Deep Inverse Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 509 | Multi-agent Path Finding for Cooperative Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 510 | GarchingSim: An Autonomous Driving Simulator with Photorealistic Scenes and Minimalist Workflow Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View 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 |
| 511 | Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Safety considerations, ethical concerns, and adoption of AVs are other major issues that require thorough investigation. Building on these findings, we propose an end-to-end design framework that addresses accessibility requirements across diverse user demographics, including older adults and individuals with physical or cognitive impairments. |
ASHISH BASTOLA et. al. | arxiv-cs.HC | 2024-01-25 |
| 512 | Evaluating Driver Readiness in Conditionally Automated Vehicles from Eye-Tracking Data and Head Pose Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The experiments in this article revealed that a Bidirectional LSTM architecture, combining both feature sets, achieves a mean absolute error of 0.363 on the DMD dataset, demonstrating superior performance in assessing driver readiness. |
Mostafa Kazemi; Mahdi Rezaei; Mohsen Azarmi; | arxiv-cs.CV | 2024-01-20 |
| 513 | BadODD: Bangladeshi Autonomous Driving Object Detection Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 514 | A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a lightweight multi-attack quantised machine learning model that is deployed using Xilinx’s Deep Learning Processing Unit IP on a Zynq Ultrascale+ (XCZU3EG) FPGA, which is trained and validated using the public CAN Intrusion Detection dataset. |
Shashwat Khandelwal; Shreejith Shanker; | arxiv-cs.CR | 2024-01-19 |
| 515 | Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 516 | Geo-locating Road Objects Using Inverse Haversine Formula with NVIDIA Driveworks Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 517 | ACAV: A Framework for Automatic Causality Analysis in Autonomous Vehicle Accident Recordings Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 518 | 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 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 |
| 519 | Autonomous Vehicle Security: Current Survey and Future Research Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 520 | 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 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 |
| 521 | 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 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 |
| 522 | 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 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 |
| 523 | 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 Highlight: This paper introduces DME-Driver, a new autonomous driving system that enhances the performance and reliability of autonomous driving system. |
Wencheng Han; Dongqian Guo; Cheng-Zhong Xu; Jianbing Shen; | arxiv-cs.RO | 2024-01-07 |
| 524 | Blockchain Model for Reliable Consensus Algorithm on The Autonomous Driving Data Management Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 525 | Deep Reinforcement Learning for Local Path Following of An Autonomous Formula SAE Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 526 | 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 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 |
| 527 | 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 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 |
| 528 | Occlusion-Aware Planning for Autonomous Driving With Vehicle-to-Everything Communication Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 529 | Real Time Car Model and Plate Detection System By Using Deep Learning Architectures Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 530 | 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 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 |
| 531 | Trajectory Prediction Network of Autonomous Vehicles With Fusion of Historical Interactive Features IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to improve driving safety and achieve more accurate decisions and planning, autonomous vehicles are required to predict the future trajectories of the surrounding … |
Z. ZUO et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 532 | Enhancing Vehicle Detection and Tracking in UAV Imagery: A Pixel Labeling and Particle Filter Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Systems must be capable of detecting and tracking autonomous vehicles for intelligent management and control of transportation. Even though several methods are used to create … |
MUHAMMAD OVAIS YUSUF et. al. | IEEE Access | 2024-01-01 |
| 533 | Driving Towards Inclusion: Revisiting In-Vehicle Interaction in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 534 | A Risk-Field Based Motion Planning Method for Multi-Vehicle Conflict Scenario Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 535 | 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 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 |
| 536 | LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 537 | Pose and Shape Estimation of Humans in Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 538 | People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 539 | PMWorld: A Parallel Testing Platform for Autonomous Driving in Mines Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving will be widely deployed in the near future which can efficiently reduce the workload on human drivers. Unlike complicated urban driving conditions, fully … |
YUNFENG AI et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 540 | 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 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 |
| 541 | Optimizing Automotive MIMO Radar Detection With Regression Modeling-Based Correlation Test Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 542 | Formal Methods for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 543 | Tube-Based Robust Model Predictive Control for Tracking Control of Autonomous Articulated Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 544 | Modular Learning: Agile Development of Robust Traffic Sign Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 545 | An Edge-Based Digital Twin Framework for Connected and Autonomous Vehicles: Design and Evaluation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 546 | Integrated Driver Pose Estimation for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 547 | Knowledge-Aware Object Detection in Traffic Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : Autonomous driving is a widely popular domain that empowers the autonomous vehicle to make crucial decisions in a constantly evolving traffic scenario. The role of perception is … |
Jean-Francois Nies; Syed Tahseen Raza Rizvi; Mohsin Munir; Ludger Elst; A. Dengel; | International Conference on Agents and Artificial … | 2024-01-01 |
| 548 | 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 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 |
| 549 | Event-Triggered Adaptive Fuzzy Approach-Based Lateral Motion Control for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the level of vehicle intelligence increases, the amount of communication data is also constantly increasing. At the same time, there is parameter uncertainty and unknown … |
Junda Zhang; Lipeng Zhang; Shuaishuai Liu; Jiantao Wang; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 550 | 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 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 |
| 551 | 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 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 |
| 552 | 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 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 |
| 553 | Scalable Game-Theoretic Decision-Making for Self-Driving Cars at Unsignalized Intersections Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 554 | Challenges of Remote Driving on Public Roads Using 5G Public Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 555 | Collision Risk Assessment for Intelligent Vehicles Considering Multi-Dimensional Uncertainties Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To ensure the reliability of autonomous driving, the system must be capable of potential hazard identification and appropriate response to prevent accidents. This involves the … |
ZHENHAI GAO et. al. | IEEE Access | 2024-01-01 |
| 556 | LiDAR-Based Obstacle Avoidance With Autonomous Vehicles: A Comprehensive Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View 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 |
| 557 | Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Smart tire technologies offer a novel sensing methodology for vehicle environment perception by providing direct measurements of tire dynamics parameters. This information can be … |
TAMÁS DÓZSA et. al. | IEEE Access | 2024-01-01 |
| 558 | Improving Autonomous Vehicles Maneuverability and Collision Avoidance in Adverse Weather Conditions Using Generative Adversarial Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, there has been a significant increase in the development of autonomous vehicles. One critical task for ensuring their safety and dependability, is obstacle … |
L. Meftah; Asma Cherif; R. Braham; | IEEE Access | 2024-01-01 |
| 559 | Blockchain-Enabled Secure Communication Framework for Enhancing Trust and Access Control in The Internet of Vehicles (IoV) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The Internet of Vehicles (IoV) is an incipient topic within the wider domain of the Internet of Things (IoT). Using this technology intelligent transportation systems (ITS) can be … |
Sadia Hussain; Shahzaib Tahir; Asif Masood; Hasan Tahir; | IEEE Access | 2024-01-01 |
| 560 | Collision Avoidance for Autonomous Vehicles Based on MPC With Adaptive APF Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, a model predictive control (MPC) strategy is developed to realize collision avoidance with dynamic obstacle vehicles for an autonomous vehicle. A novel collision … |
Hongjiu Yang; Yongqi He; Yang Xu; Hai Zhao; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 561 | Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Self-driving cars or autonomous vehicles (AVs) represent a transformative technology with the potential to revolutionize transportation. The rise of self-driving cars has driven … |
Ambati Pravallika; Mohammad Farukh Hashmi; Aditya Gupta; | IEEE Access | 2024-01-01 |
| 562 | Energy-Autonomous Roadside Nodes in V2I Using RF Energy Harvesting Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Future intelligent transportation systems will require complex networking infrastructures with communication among a huge number of vehicles and roadside nodes to support services … |
J. M. Giménez-Guzmán; Israel Leyva-Mayorga; Amirhossein Azarbahram; O. A. López; P. Popovski; | IEEE Open Journal of the Communications Society | 2024-01-01 |
| 563 | Evaluation Framework for Electric Vehicle Security Risk Assessment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Electric Vehicles (EVs) seem promising for future transportation to solve environmental concerns and energy management problems. According to Reuters, global car makers plan to … |
Soheil Shirvani; Yaser Baseri; Ali A. Ghorbani; | IEEE Transactions on Intelligent Transportation Systems | 2024-01-01 |
| 564 | Co-driver: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: —Recent research about Large Language Model based autonomous driving solutions shows a promising picture in planning and control fields. However, heavy computational resources and … |
Ziang Guo; Artem Lykov; Zakhar Yagudin; Mikhail Konenkov; D. Tsetserukou; | ArXiv | 2024-01-01 |
| 565 | Navigating Unsignalized Intersections: A Predictive Approach for Safe and Cautious Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Collision avoidance at unsignalized intersections is critical to autonomous vehicle technology. Our work addresses the challenging problem of online speed planning along a … |
Niusha Pourjafari; Amir Ghafari; A. Ghaffari; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 566 | Real-Time Experimental Evaluation and Analysis of PID and MPC Controllers Using HIL Setup for Robust Steering System of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of autonomous vehicles has recently received substantial impetus, fueled by researchers and industry personnel. The need for powerful steering control in … |
S. G. Krishnan; Pakala Suresh Kumar; Nadheem Nassar Matara; Yong Wang; | IEEE Access | 2024-01-01 |
| 567 | Autonomous Vehicle Localization Without Prior High-Definition Map Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate localization by which vehicles can arrive at their destination while accurately following a given route is one of the most important factors for autonomous driving. In … |
Sangmin Lee; Jee-Hwan Ryu; | IEEE Transactions on Robotics | 2024-01-01 |
| 568 | Self-Organized Routing for Autonomous Vehicles Via Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Routing for autonomous vehicles with global traffic information and sufficient direct cooperation among vehicles has been widely studied to relieve traffic congestion in recent … |
Huaxin Pei; Jiawei Zhang; Yi Zhang; Huile Xu; Li Li; | IEEE Transactions on Vehicular Technology | 2024-01-01 |
| 569 | Interaction-Aware Planning With Deep Inverse Reinforcement Learning for Human-Like Autonomous Driving in Merge Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Merge scenarios on highway are often challenging for autonomous driving, due to its lack of sufficient tacit understanding on and subtle interaction with human drivers in the … |
JIANG NAN et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 570 | Vehicle Directional Driving Behavior Segmentation Based on Cornering Strength Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development in recent years, the autonomous driving system comes to the stage of commercial deployment now. However, it is not well accepted by society. This is due … |
Yunpeng Bo; Xin Jia; Hsin Guan; Haobin Wang; | IEEE Access | 2024-01-01 |
| 571 | Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of self-driving vehicles requires integrating a sophisticated sensing system to address the various obstacles posed by road traffic efficiently. While … |
TEENA SHARMA et. al. | IEEE Access | 2024-01-01 |
| 572 | Research on Multi-Objective Optimization Models for Intersection Crossing of Connected Autonomous Vehicles With Traffic Signals Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study delves deeply into the traffic light intersection control issue for connected autonomous vehicles (CAVs). First, we employed the vehicle dynamics simulation software, … |
XIAOBIN NING et. al. | IEEE Access | 2024-01-01 |
| 573 | TOFG: Temporal Occupancy Flow Graph for Prediction and Planning in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving, an accurate understanding of the environment, e.g., the vehicle-to-vehicle and vehicle-to-lane interactions, plays a critical role in many driving tasks, … |
ZIHAO WEN et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 574 | Connected Vehicle Perception Monitoring: A Runtime Verification Approach for Enhanced Autonomous Driving Safety Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : Modern autonomous vehicles rely heavily on complex sensor systems for perception tasks, including Advanced Driver Assistance Systems and Autonomous Driving Systems. Accurate … |
R. Castelino; Karina Rothemann; A. Lamm; Axel Hahn; | International Conference on Vehicle Technology and … | 2024-01-01 |
| 575 | RainSD: Rain Style Diversification Module for Image Synthesis Enhancement Using Feature-Level Style Distribution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a synthetic road dataset with sensor blockage generated from real road dataset BDD100K is suggested in the format of BDD100K annotation. |
HYEONJAE JEON et. al. | arxiv-cs.CV | 2023-12-31 |
| 576 | Analysing and Modelling of Discretionary Lane Change Duration Considering Driver Heterogeneity IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper aims to investigate the characteristics of discretionary lane change (LC) duration on freeways based on an enriched dataset that contains the LC vehicle trajectories of … |
Gen Li; Zhen Yang; Yiyong Pan; Jianxiao Ma; | Transportmetrica B: Transport Dynamics | 2023-12-31 |
| 577 | Risk-Anticipatory Autonomous Driving Strategies Considering Vehicles’ Weights Based on Hierarchical Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles (AVs) have the potential to prevent accidents caused by drivers’ errors and reduce road traffic risks. Due to the nature of heavy vehicles, whose collisions … |
Di Chen; Hao Li; Zhicheng Jin; H. Tu; Meixin Zhu; | IEEE Transactions on Intelligent Transportation Systems | 2023-12-27 |
| 578 | Risk-anticipatory Autonomous Driving Strategies Considering Vehicles’ Weights, Based on Hierarchical Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study develops an autonomous driving strategy based on risk anticipation, considering the weights of surrounding vehicles and using hierarchical deep reinforcement learning. |
Di Chen; Hao Li; Zhicheng Jin; Huizhao Tu; Meixin Zhu; | arxiv-cs.RO | 2023-12-27 |
| 579 | End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper aims to provide a quick review of the methods including the technologies in detail that are currently reported in industry and academia. |
Gongjin Lan; Qi Hao; | arxiv-cs.RO | 2023-12-26 |
| 580 | Digital Twins for Autonomous Driving: A Comprehensive Implementation and Demonstration Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The concept of a digital twin (DT) plays a pivotal role in the ongoing digital transformation and has achieved significant strides for various wireless applications in recent … |
KUI WANG et. al. | 2024 International Conference on Information Networking … | 2023-12-25 |
| 581 | Enhanced Real-time Road-vehicles’ Detection and Tracking for Driving Assistance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Road-object detection, recognition, and tracking are vital tasks that must be performed reliably and accurately by self-driving car systems in order to achieve the … |
Wael Farag; Muhammad Nadeem; | Int. J. Knowl. Based Intell. Eng. Syst. | 2023-12-21 |
| 582 | Autonomous Driving Using Residual Sensor Fusion and Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: This paper proposes a novel approach by integrating sensor fusion with deep reinforcement learning, specifically the Soft Actor-Critic (SAC) algorithm, to develop an optimal … |
Amin Jalal Aghdasian; Amirhossein Heydarian Ardakani; Kianoush Aqabakee; F. Abdollahi; | 2023 11th RSI International Conference on Robotics and … | 2023-12-19 |
| 583 | First Qualitative Observations on Deep Learning Vision Model YOLO and DETR for Automated Driving in Austria Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The research focuses on the unique challenges posed by the road conditions and traffic scenarios in Austria. |
Stefan Schoder; | arxiv-cs.CV | 2023-12-19 |
| 584 | Parameterized Decision-Making with Multi-Modality Perception for Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving is an emerging technology that has advanced rapidly over the last decade. Modern transportation is expected to benefit greatly from a wise decision-making … |
YUYANG XIA et. al. | 2024 IEEE 40th International Conference on Data Engineering … | 2023-12-19 |
| 585 | Parameterized Decision-making with Multi-modal Perception for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing methods either ignore the complexity of environments only fitting straight roads, or ignore the impact on surrounding vehicles during optimization phases, leading to weak environmental adaptability and incomplete optimization objectives. To address these limitations, we propose a parameterized decision-making framework with multi-modal perception based on deep reinforcement learning, called AUTO. |
YUYANG XIA et. al. | arxiv-cs.AI | 2023-12-19 |
| 586 | NeuroFlow: Development of Lightweight and Efficient Model Integration Scheduling Strategy for Autonomous Driving System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a specialized autonomous driving system that takes into account the unique constraints and characteristics of automotive systems, aiming for innovative advancements in autonomous driving technology. |
Eunbin Seo; Gwanjun Shin; Eunho Lee; | arxiv-cs.RO | 2023-12-15 |
| 587 | Using The CARLA Simulator to Train A Deep Q Self-Driving Car to Control A Real-World Counterpart on A College Campus Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles (AV) provide many benefits to society. They provide a way for people with the inability to drive a way to travel on their own. While there has been significant … |
Joseph May; S. Poudel; S. Hamdan; Khem Poudel; J. Vargas; | 2023 IEEE International Conference on Big Data (BigData) | 2023-12-15 |
| 588 | A Physical Law Constrained Deep Learning Model for Vehicle Trajectory Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle trajectory prediction is crucial and indispensable for ensuring the safe and efficient operation of autonomous vehicles in complex traffic environments. The application of … |
Hanchu Li; Ziyi Liao; Yikang Rui; Linchao Li; Bin Ran; | IEEE Internet of Things Journal | 2023-12-15 |
| 589 | High-Speed Ramp Merging Behavior Decision for Autonomous Vehicles Based on Multiagent Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To improve the decision success rate of a multiagent reinforcement learning algorithm in merging high-speed ramps of autonomous vehicles, the independent proximal policy … |
XINFENG ZHANG et. al. | IEEE Internet of Things Journal | 2023-12-15 |
| 590 | DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we delve into the potential of large language models (LLMs) in autonomous driving (AD). |
WENHAI WANG et. al. | arxiv-cs.CV | 2023-12-14 |
| 591 | Personalized Autonomous Driving with Large Language Models: Field Experiments IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce an LLM-based framework, Talk2Drive, capable of translating natural verbal commands into executable controls and learning to satisfy personal preferences for safety, efficiency, and comfort with a proposed memory module. |
CAN CUI et. al. | arxiv-cs.AI | 2023-12-14 |
| 592 | Transformer Neural Networks for Maximum Friction Coefficient Estimation of Tire-Road Contact Using Onboard Vehicle Sensors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For the optimization of advanced driver assistance systems (ADAS) and the implementation of autonomous driving, the perception of the vehicles environment and in particular the … |
Hendrik Schäfke; Nicolas Lampe; Karl-Philipp Kortmann; | 2023 62nd IEEE Conference on Decision and Control (CDC) | 2023-12-13 |
| 593 | Optimal Control of Autonomous Vehicles for Flow Smoothing in Mixed-Autonomy Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article studies the optimal control of autonomous vehicles over a given time horizon to smooth traffic. We model the dynamics of a mixed-autonomy platoon as a system of … |
ARWA ALANQARY et. al. | 2023 62nd IEEE Conference on Decision and Control (CDC) | 2023-12-13 |
| 594 | Localizability Estimation for Autonomous Driving: A Deep Learning-Based Place Recognition Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, research and development aimed at the societal implementation of autonomous driving have attracted increasing attention. Localization, which involves obtaining … |
Kazuto Matsumoto; Ehsan Javanmardi; Jin Nakazato; Manabu Tsukada; | 2023 Seventh IEEE International Conference on Robotic … | 2023-12-11 |
| 595 | Attribute Annotation and Bias Evaluation in Visual Datasets for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce an annotation methodology and a specialised annotation tool, both designed to annotate protected attributes of agents in visual datasets. |
David Fernández Llorca; Pedro Frau; Ignacio Parra; Rubén Izquierdo; Emilia Gómez; | arxiv-cs.CV | 2023-12-11 |
| 596 | Scalable Decentralized Cooperative Platoon Using Multi-Agent Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a vehicle platooning approach designed to enhance traffic flow and safety. |
Ahmed Abdelrahman; Omar M. Shehata; Yarah Basyoni; Elsayed I. Morgan; | arxiv-cs.RO | 2023-12-11 |
| 597 | Evaluation of Large Language Models for Decision Making in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, quantitative research has not been conducted on how accurately different types of LLMs can handle these problems. In this study, we quantitatively evaluated these two abilities of LLMs in the context of autonomous driving. |
KOTARO TANAHASHI et. al. | arxiv-cs.CV | 2023-12-11 |
| 598 | 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 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. | arxiv-cs.RO | 2023-12-11 |
| 599 | Dynamic Adversarial Attacks on Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces an attacking mechanism to challenge the resilience of autonomous driving systems. |
Amirhosein Chahe; Chenan Wang; Abhishek Jeyapratap; Kaidi Xu; Lifeng Zhou; | arxiv-cs.RO | 2023-12-09 |
| 600 | Internet of Vehicles-Based Autonomous Vehicle Platooning Related Papers Related Patents Related Grants Related Venues Related Experts View |
Omkar Dokur; Srinivas Katkoori; | SN Computer Science | 2023-12-09 |
| 601 | An Autonomous Driving Model Integrated with BEV-V2X Perception, Fusion Prediction of Motion and Occupancy, and Driving Planning, in Complex Traffic Intersections Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: (BSM) data from multiple vehicles allows for the real-time perception and future state prediction. Therefore, this paper develops a comprehensive autonomous driving model that relies on BEV-V2X perception, Interacting Multiple model Unscented Kalman Filter (IMM-UKF)-based fusion prediction, and deep reinforcement learning (DRL)-based decision making and planning. |
FUKANG LI et. al. | arxiv-cs.RO | 2023-12-08 |
| 602 | Deep Dynamics: Vehicle Dynamics Modeling with A Physics-Constrained Neural Network for Autonomous Racing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces Deep Dynamics, a physics-constrained neural network (PCNN) for vehicle dynamics modeling of an autonomous racecar. |
John Chrosniak; Jingyun Ning; Madhur Behl; | arxiv-cs.RO | 2023-12-07 |
| 603 | Towards Knowledge-driven Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By leveraging large language models, world models, neural rendering, and other advanced artificial intelligence techniques, these components collectively contribute to a more holistic, adaptive, and intelligent autonomous driving system. The paper systematically organizes and reviews previous research efforts in this area, and provides insights and guidance for future research and practical applications of autonomous driving. |
XIN LI et. al. | arxiv-cs.RO | 2023-12-07 |
| 604 | Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of autonomous vehicles is dramatically reshaping the transportation landscape, bringing new challenges and opportunities in human-machine interaction. As … |
Can Cui; Yunsheng Ma; Xu Cao; Wenqian Ye; Ziran Wang; | 2023 IEEE/ACM Symposium on Edge Computing (SEC) | 2023-12-06 |
| 605 | Computing An Automotive Cybersecurity Maturity Level Assessment Programme Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cybersecurity is key for the new and future vehicles that heavily rely on IT systems and depend on data exchange. These vehicles will bring countless new features and are … |
Patrick Grümer; Pedro Brandão; | Proceedings of the 7th ACM Computer Science in Cars … | 2023-12-05 |
| 606 | Transformer-Based Multi-Modal Probabilistic Pedestrian Prediction for Risk-Aware Autonomous Vehicle Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Over the past decade, the field of assisted and autonomous driving has experienced significant advancements. However, autonomous driving systems are still challenged by the … |
Murad Mebrahtu; Awet Araia; Abiel Ghebreslasie; Jorge Dias; Majid Khonji; | 2023 21st International Conference on Advanced Robotics … | 2023-12-05 |
| 607 | Multi-Sensor Object Detection System for Real-Time Inferencing in ADAS Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advanced Driver Assistance Systems (ADAS) are designed to assist drivers in various driving scenarios, and the object detection system is a critical component of ADAS. This paper … |
Sai Rithvick Mandumula; Jungme Park; Ritwik Prasad Asolkar; Karthik Somashekar; | 2023 IEEE Symposium Series on Computational Intelligence … | 2023-12-05 |
| 608 | Collision-Free Path Generation for Teleoperation of Unmanned Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Teleoperation, or remote driving, constitutes a crucial transitional phase toward the widespread adoption of fully autonomous vehicles. Nevertheless, to enable seamless real-time … |
Fatima Kashwani; Bilal Hassan; Majid Khonji; Jorge Dias; | 2023 21st International Conference on Advanced Robotics … | 2023-12-05 |
| 609 | Cars As Social Agents (CarSA): A Perspective Shift in Human-Vehicle Interaction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid advancement of autonomous vehicle (AV) technology has opened up new possibilities and challenges in the domain of human–agent interaction. As AVs become increasingly … |
Franziska Babel; Philipp Hock; S. Thellman; Tom Ziemke; | Proceedings of the 11th International Conference on … | 2023-12-04 |
| 610 | Automated Speed and Lane Change Decision-making Model Using Support Vector Machine Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the major obstacles that the auto industry must overcome is the rise of autonomous vehicles. The study of lane-changing is an important part of this problem. Previous … |
Sathisha G; C. K. Subbaraya; R. G K; | Int. J. Commun. Networks Inf. Secur. | 2023-12-04 |
| 611 | Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our study assesses the adversarial robustness of LiDAR-camera fusion models in 3D object detection. We introduce an attack technique that, by simply adding a limited number of physically constrained adversarial points above a car, can make the car undetectable by the fusion model. |
Bo Yang; Xiaoyu Ji; Zizhi Jin; Yushi Cheng; Wenyuan Xu; | arxiv-cs.RO | 2023-12-03 |
| 612 | AV4EV: Open-Source Modular Autonomous Electric Vehicle Platform for Making Mobility Research Accessible Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: On the other hand, 1/10th-1/16th scaled-down vehicle platforms are more affordable but have limited similitude in performance and drivability. To address this issue, we present the design of a one-third-scale autonomous electric go-kart platform with open-source mechatronics design along with fully functional autonomous driving software. |
ZHIJIE QIAO et. al. | arxiv-cs.RO | 2023-12-01 |
| 613 | AutoRS: Environment-Dependent Real-Time Scheduling for End-to-End Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of autonomous driving poses new research challenges for on-vehicle computing system. The execution time of autonomous driving tasks heavily depends on the … |
Jialiang Ma; Li Li; Chengzhong Xu; | IEEE Transactions on Parallel and Distributed Systems | 2023-12-01 |
| 614 | RobustStateNet: Robust Ego Vehicle State Estimation for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View |
Pragyan Dahal; Simone Mentasti; Luca Paparusso; S. Arrigoni; F. Braghin; | Robotics Auton. Syst. | 2023-12-01 |
| 615 | Probabilistic Game Theory and Stochastic Model Predictive Control-Based Decision Making and Motion Planning in Uncontrolled Intersections for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a motion planner of autonomous vehicles for uncontrolled intersection driving. Uncertainty about the surrounding target vehicles is an important consideration … |
Yonghwan Jeong; | IEEE Transactions on Vehicular Technology | 2023-12-01 |
| 616 | Towards C-V2X Enabled Collaborative Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Intelligent vehicles, including autonomous vehicles and vehicles equipped with ADAS systems, are single-agent systems that navigate solely on the information collected by … |
Yuankai He; Baofu Wu; Zheng Dong; Jian Wan; Weisong Shi; | IEEE Transactions on Vehicular Technology | 2023-12-01 |
| 617 | Traffic Modeling Based on Data-Driven Method for Simulation Test of Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Traffic modeling is vitally important to the simulation test of autonomous driving, as on-road testing is not only tedious, inefficient, costly, and often unsafe. The fidelity of … |
Ruixue Zong; Weiwen Deng; Xuesong Bai; Ying Wang; Juan Ding; | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 618 | An Online Learning Framework for Sensor Fault Diagnosis Analysis in Autonomous Cars IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a novel data-driven technique, namely Online Learning for sensor Fault diagnosis Analysis (OLFA), to perform real-time fault analysis for autonomous cars. … |
XUYANG YAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 619 | An Autonomous Vehicle Group Cooperation Model in An Urban Scene Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Formulating a cooperative autonomous vehicle group is challenging in an urban scene that has complex road networks and diverse disturbance. Existing methods of vehicle cluster … |
GUIYUAN YUAN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 620 | Event-Triggered Robust Path Tracking Control Considering Roll Stability Under Network-Induced Delays for Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a multi-input multi-output (MIMO) method for path tracking control of autonomous vehicles under network-induced delays while taking into account the roll … |
Fernando Viadero-Monasterio; Anh‐Tu Nguyen; Jimmy Lauber; M. J. L. Boada; B. L. Boada; | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 621 | Modeling The Effects of Autonomous Vehicles on Human Driver Car-Following Behaviors Using Inverse Reinforcement Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of autonomous driving technology will lead to a transition period during which human-driven vehicles (HVs) will share the road with autonomous vehicles (AVs). … |
Xiao Wen; Sisi Jian; Dengbo He; | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 622 | DRMNet: A Multi-Task Detection Model Based on Image Processing for Autonomous Driving Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To improve the efficiency and accuracy of autonomous driving vehicles’ perception of the external environment, a multi-task detection model DRMNet (Dual-resolution Multi-task … |
Jiandong Zhao; Dikang Wu; Zhixin Yu; Ziyou Gao; | IEEE Transactions on Vehicular Technology | 2023-12-01 |
| 623 | A Low-cost Framework for Decentralized Autonomous Intersection Management Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel low-cost solution strategy where the vehicles use a harmony matrix to find the best possible combination of the cars to cross the intersection without any crashes. |
Rugved Katole; Arpita Sinha; | arxiv-cs.RO | 2023-11-29 |
| 624 | Residential Location Selection in First-Tier Cities in China Under Shared Autonomous Vehicle Conditions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Users traveling by Shared Autonomous Vehicle (SAV) can make the most of their commute and reduce parking time and costs, while potential changes in residential location choices … |
Chen Guo; Y. Huo; | Proceedings of the 2023 5th International Conference on … | 2023-11-24 |
| 625 | Safety Assessment of Vehicle Characteristics Variations in Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, in this paper, we propose a method, named SAFEVAR, to systematically find minimum variations to the original vehicle characteristics setting, which affect the safety of the ADS deployed on the vehicle. |
Qi Pan; Tiexin Wang; Paolo Arcaini; Tao Yue; Shaukat Ali; | arxiv-cs.SE | 2023-11-24 |
| 626 | Racing With ROS 2 A Navigation System for An Autonomous Formula Student Race Car Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: These offer new challenges to aspiring engineers, including the team at QUT Motorsport, but also raise the entry barrier due to the complexity of high-speed navigation and control. This paper presents an open-source solution using the Robot Operating System 2, specifically its open-source navigation stack, to address these challenges in autonomous Formula Student race cars. |
Alastair Bradford; Grant van Breda; Tobias Fischer; | arxiv-cs.RO | 2023-11-23 |
| 627 | An Agent-Based Discrete Event Simulation of Teleoperated Driving in Freight Transport Operations: The Fleet Sizing Problem Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, a trade-off exists between the teleoperator-to-vehicle ratio and the service level of teleoperation. This study designs a simulation framework to explore this trade-off generating multiple performance indicators as proxies for teleoperation service level. |
Bahman Madadi; Ali Nadi; Gonçalo Homem de Almeida Correia; Thierry Verduijn; Lóránt Tavasszy; | arxiv-cs.MA | 2023-11-23 |
| 628 | The Navigation Based on Hybrid A Star and TEB Algorithm Implemented in Obstacles Avoidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Taking driverless and autonomous navigation as an example, artificial intelligence has gradually entered people’s vision, and applications such as sweeping robots, rescue robots, … |
HONGZHANG ZHENG et. al. | 2023 29th International Conference on Mechatronics and … | 2023-11-21 |
| 629 | A Large-Scale Car Parts (LSCP) Dataset for Lightweight Fine-Grained Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To alleviate the burden of manual annotation, we propose a novel semi-supervised auto-labeling method that leverages state-of-the-art pre-trained detectors. |
Wang Jie; Zhong Yilin; Cao Qianqian; | arxiv-cs.CV | 2023-11-20 |
| 630 | MUVO: A Multimodal Generative World Model for Autonomous Driving with Geometric Representations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we perform a set of experiments with a MUltimodal World Model with Geometric VOxel representations (MUVO) to evaluate different sensor fusion strategies to better understand the effects on sensor data prediction. |
Daniel Bogdoll; Yitian Yang; Tim Joseph; Melih Yazgan; J. Marius Zöllner; | arxiv-cs.LG | 2023-11-20 |
| 631 | A Language Agent for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a fundamental paradigm shift from current pipelines, exploiting Large Language Models (LLMs) as a cognitive agent to integrate human-like intelligence into autonomous driving systems. |
Jiageng Mao; Junjie Ye; Yuxi Qian; Marco Pavone; Yue Wang; | arxiv-cs.CV | 2023-11-17 |
| 632 | TileMask: A Passive-Reflection-based Attack Against MmWave Radar Object Detection in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving, millimeter wave (mmWave) radar has been widely adopted for object detection because of its robustness and reliability under various weather and lighting … |
YI ZHU et. al. | Proceedings of the 2023 ACM SIGSAC Conference on Computer … | 2023-11-15 |
| 633 | User-Centric Security and Privacy Threats in Connected Vehicles: A Threat Modeling Analysis Using STRIDE and LINDDUN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The increasing equipment of cars with smart systems and their networking with other devices is leading to a growing network of connected vehicles. Connected cars are Internet of … |
BEÁTA STINGELOVÁ et. al. | 2023 IEEE Intl Conf on Dependable, Autonomic and Secure … | 2023-11-14 |
| 634 | Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a lightweight framework for resource-efficient driver activity recognition. |
Calvin Tanama; Kunyu Peng; Zdravko Marinov; Rainer Stiefelhagen; Alina Roitberg; | arxiv-cs.CV | 2023-11-10 |
| 635 | On The Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We explore the model’s abilities to understand and reason about driving scenes, make decisions, and ultimately act in the capacity of a driver. |
LICHENG WEN et. al. | arxiv-cs.CV | 2023-11-09 |
| 636 | Authority Transfer According to A Driver Intervention Intention Considering Coexistence of Communication Delay Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, interest and research on autonomous driving technology have been actively conducted. However, proving the safety of autonomous vehicles and commercializing autonomous … |
Taeyoon Lim; Myeong-Hwan Hwang; Eugene Kim; Hyunrok Cha; | Comput. | 2023-11-08 |
| 637 | Cognitive Reinforcement Learning For Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most existing reinforcement learning methods are combined with deep neural networks in autonomous driving. There is a well-known trouble named ‘black-box’ of deep neural networks, … |
Hao Qi; Enguang Hou; Guangmin Liu; Peijun Ye; | 2023 IEEE 3rd International Conference on Digital Twins and … | 2023-11-07 |
| 638 | Tell Me About That Church: Exploring The Design and User Experience of In-Vehicle Multi-modal Intuitive Interface in The Context of Driving Scenario Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this research, we conducted a design workshop (N=6) to understand user’s needs and designers’ considerations on the in-vehicle multi-modal intuitive interface, based on which we implemented our design on both a simulator and a real autonomous vehicle using Wizard-of-Oz. |
Yueteng Yu; Yan Zhang; Gary Burnett; | arxiv-cs.HC | 2023-11-07 |
| 639 | What Makes A Fantastic Passenger-Car Driver in Urban Contexts? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we sought to understand driving behaviors from the perspectives of both drivers and passengers. |
YUETENG YU et. al. | arxiv-cs.HC | 2023-11-07 |
| 640 | In-Network Path Planning for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving is widely considered as a major use case in 5G and beyond networks. Without human intervention, connected cars have been considered as typical autonomous … |
Tung V. Doan; F. Fitzek; Giang T. Nguyen; | 2023 IEEE Conference on Network Function Virtualization and … | 2023-11-07 |
| 641 | Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel sensor fusion-based pipeline for offline mapping and online localization based on LiDAR sensors. |
FLORIAN SAUERBECK et. al. | arxiv-cs.RO | 2023-11-03 |
| 642 | Secure Operations of Connected and Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With features of collaborative interaction and autonomous decision-making, connected and autonomous vehicles (CAVs) offer a viable solution for a sustainable and efficient future … |
JINPENG HAN et. al. | IEEE Transactions on Intelligent Vehicles | 2023-11-01 |
| 643 | Coordinated Motion Planning for Heterogeneous Autonomous Vehicles Based on Driving Behavior Primitives Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Heterogeneous autonomous vehicle (HAV) coordinated motion planning must guide each vehicle out of the conflict zone based on the differences in vehicle platform characteristics. … |
Haijie Guan; Boyang Wang; Jian-wei Gong; Huiyan Chen; | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 644 | Resource Optimization for Task Offloading With Real-Time Location Prediction in Pedestrian-Vehicle Interaction Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of autonomous driving, task offloading of Internet of vehicles has become a hot research issue. In pedestrian-vehicle interaction scenarios, characteristics … |
Dawen Zheng; Lusheng Wang; Caihong Kai; M. Peng; | IEEE Transactions on Wireless Communications | 2023-11-01 |
| 645 | Resilient Countermeasures Against Cyber-Attacks on Self-Driving Car Architecture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Self-driving cars, believed to be on track to become a seven trillion-dollar industry by 2050, are likely to be a popular mode of transportation in the near future, as the … |
J. M. QURASHI et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 646 | A Survey on Self-Evolving Autonomous Driving: A Perspective on Data Closed-Loop Technology IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Self evolution refers to the ability of a system to evolve autonomously towards a better performance, which is a potential trend for autonomous driving systems based on … |
Xincheng Li; Zhaoyi Wang; Yanjun Huang; Hong Chen; | IEEE Transactions on Intelligent Vehicles | 2023-11-01 |
| 647 | Adaptive Collision-Free Trajectory Tracking Control for String Stable Bidirectional Platoons IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicle (AV) platoons, especially those with the bidirectional communication topology, have significant practical value, as they not only increase link capacity and … |
Shaohua Cui; Yongjie Xue; K. Gao; M. Lv; Bin Yu; | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 648 | SdoNet: Speed Odometry Network and Noise Adapter for Vehicle Integrated Navigation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The emerging applications of the Internet of Things (IoT), such as driverless cars, have an increasing need for precise vehicle positioning. Inertial navigation systems (INSs) … |
XUAN WANG et. al. | IEEE Internet of Things Journal | 2023-11-01 |
| 649 | Vehicle Stability Analysis By Zero Dynamics to Improve Control Performance Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Good stability performance is a prerequisite for the motion of vehicles controlled either by a human driver with advanced driver-assistance systems or by highly automated driving … |
XIAO HU et. al. | IEEE Transactions on Control Systems Technology | 2023-11-01 |
| 650 | A Distributed Learning Architecture for Semantic Communication in Autonomous Driving Networks for Task Offloading Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic communication based on machine learning (ML) techniques emerged as a new transmission paradigm that can significantly improve spectrum efficiency. It looks promising for … |
Guhan Zheng; Qiang Ni; K. Navaie; H. Pervaiz; Charilaos Zarakovitis; | IEEE Communications Magazine | 2023-11-01 |
| 651 | Latency-Energy Tradeoff in Connected Autonomous Vehicles: A Deep Reinforcement Learning Scheme IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle Edge Computing (VEC)-assisted computational offloading brings cloud computing closer to user equipment (UEs) at the edge of the access network by delivering various … |
ISHAN BUDHIRAJA et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 652 | Model-based Development for ROS 2-based Autonomous-driving Software Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles have attracted increasing research attention as a solution to various contemporary social problems. Current code-based development methods require time to … |
Takumi Onozawa; Hiroshi Fujimoto; Takuya Azumi; | 2023 IEEE 22nd International Conference on Trust, Security … | 2023-11-01 |
| 653 | Vehicle Detection for Autonomous Driving: A Review of Algorithms and Datasets IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, vehicles with a high level of automation are being driven everywhere. With the apparent success of autonomous driving technology, we keep working to achieve fully … |
Jules Karangwa; Jun Liu; Zixuan Zeng; | IEEE Transactions on Intelligent Transportation Systems | 2023-11-01 |
| 654 | PA3DNet: 3-D Vehicle Detection With Pseudo Shape Segmentation and Adaptive Camera-LiDAR Fusion IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 3-D vehicle detection is a key perception technique in autonomous driving. In this article, a novel 3-D vehicle detection framework that fuses camera images and Light Detection … |
Meiling Wang; Lin Zhao; Yufeng Yue; | IEEE Transactions on Industrial Informatics | 2023-11-01 |
| 655 | Improving RRT for Automated Parking in Real-world Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Parking assistants in currently sold cars fail to park in more complex real-world scenarios and require the driver to move the car to an expected starting position before the assistant is activated. We overcome these limitations by proposing a planning algorithm consisting of two stages: (1) a geometric planner for maneuvering inside the parking slot and (2) a Rapidly-exploring Random Trees (RRT)-based planner that finds a collision-free path from the initial position to the slot entry. |
Jiri Vlasak; Michal Sojka; Zdeněk Hanzálek; | arxiv-cs.RO | 2023-10-31 |
| 656 | Collaborative Decision-Making Using Spatiotemporal Graphs in Connected Autonomy Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel collaborative decision-making method that efficiently and effectively integrates collaborators’ representations to control the ego vehicle in accident-prone scenarios. |
Peng Gao; Yu Shen; Ming C. Lin; | arxiv-cs.RO | 2023-10-31 |
| 657 | Robust Car-Following Control of Connected and Autonomous Vehicles: A Stochastic Model Predictive Control Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle platooning has gained significant attention due to its potential to enhance road safety and efficiency. Leveraging stochastic optimization methods, this paper presents a … |
PEIYU ZHANG et. al. | Proceedings of the Int’l ACM Symposium on Design and … | 2023-10-30 |
| 658 | Mamdani Vs. Takagi–Sugeno Fuzzy Inference Systems in The Calibration of Continuous-Time Car-Following Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The transition to intelligent transportation systems (ITSs) is necessary to improve traffic flow in urban areas and reduce traffic congestion. Traffic modeling simplifies the … |
Madalin-Dorin Pop; D. Pescaru; M. Micea; | Sensors (Basel, Switzerland) | 2023-10-28 |
| 659 | Social Interaction-Aware Dynamical Models and Decision Making for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is a challenging task, as it requires the autonomous vehicle to be able to understand and predict the behaviour of human road users. In this literature review, the current state of IAAD research is surveyed in this work. |
LUCA CROSATO et. al. | arxiv-cs.HC | 2023-10-28 |
| 660 | Using Buckingham’s $π$ Theorem for Multi-System Learning Transfer: A Case-study with 3 Vehicles Sharing A Database Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores the potential of an approach that uses dimensionless numbers based on Buckingham’s $\pi$ theorem to improve the efficiency of data for learning models, with the goal of facilitating knowledge sharing between similar systems. |
William Therrien; Olivier Lecompte; Alexandre Girard; | arxiv-cs.RO | 2023-10-26 |
| 661 | EqDrive: Efficient Equivariant Motion Forecasting with Multi-Modality for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In our research, we employ EqMotion, a leading equivariant particle, and human prediction model that also accounts for invariant agent interactions, for the task of multi-agent vehicle motion forecasting. |
Yuping Wang; Jier Chen; | arxiv-cs.RO | 2023-10-26 |
| 662 | Automotive Knowledge Base for Supporting Vehicle-SOC Analysts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the introduction of more and more ECUs and components in vehicles, the automotive industry is moving towards increasingly connected and autonomous driving. This means not … |
Vita Santa Barletta; Danilo Caivano; Mirko De Vincentiis; Anibrata Pal; Francesco Volpe; | 2023 IEEE International Conference on Metrology for … | 2023-10-25 |
| 663 | Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We then investigate the impacts of these attacks at both the individual vehicle (micro) and traffic flow (macro) levels. A novel generative adversarial network (GAN)-based anomaly detection model is proposed for real-time identification of such attacks using vehicle trajectory data. |
Tianyi Li; Mingfeng Shang; Shian Wang; Raphael Stern; | arxiv-cs.MA | 2023-10-25 |
| 664 | Nighttime Driver Behavior Prediction Using Taillight Signal Recognition Via CNN-SVM Classifier Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper aims to enhance the ability to predict nighttime driving behavior by identifying taillights of both human-driven and autonomous vehicles. |
Amir Hossein Barshooi; Elmira Bagheri; | arxiv-cs.CV | 2023-10-25 |
| 665 | Driving Through The Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new approach using concept bottlenecks as visual features for control command predictions and explanations of user and vehicle behavior. |
JESSICA ECHTERHOFF et. al. | arxiv-cs.CV | 2023-10-25 |
| 666 | Safe Navigation: Training Autonomous Vehicles Using Deep Reinforcement Learning in CARLA Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Autonomous vehicles have the potential to revolutionize transportation, but they must be able to navigate safely in traffic before they can be deployed on public roads. The goal … |
Ghadi Nehme; Tejas Y. Deo; | ArXiv | 2023-10-23 |
| 667 | Target-Oriented Maneuver Decision for Autonomous Vehicle: A Rule-Aided Reinforcement Learning Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve the TLE task, we propose a ruLe-aided reINforcement lEarning framework, called LINE, which combines the advantages of RL-based policy and rule-based strategy, allowing the autonomous vehicle to make target-oriented maneuver decisions. |
XIMU ZENG et. al. | cikm | 2023-10-21 |
| 668 | Exploring Driving Behavior for Autonomous Vehicles Based on Gramian Angular Field Vision Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the Gramian Angular Field Vision Transformer (GAF-ViT) model, designed to analyze AV driving behavior. |
JUNWEI YOU et. al. | arxiv-cs.CV | 2023-10-21 |
| 669 | The Safety Shell: An Architecture to Handle Functional Insufficiencies in Automated Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a survey of existing methods that strive to prevent or handle FIs. |
C. A. J. Hanselaar; E. Silvas; A. Terechko; W. P. M. H. Heemels; | arxiv-cs.RO | 2023-10-20 |
| 670 | Classification of Safety Driver Attention During Autonomous Vehicle Operation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a dual-source approach integrating data from an infrared camera facing the vehicle operator and vehicle perception systems to produce a metric for driver alertness in order to promote and ensure safe operator behaviour. |
Santiago Gerling Konrad; Julie Stephany Berrio; Mao Shan; Favio Masson; Stewart Worrall; | arxiv-cs.RO | 2023-10-17 |
| 671 | Eco-Driving Control of Connected and Automated Vehicles Using Neural Network Based Rollout Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes a hierarchical multi-horizon optimization framework implemented via a neural network. |
Jacob Paugh; Zhaoxuan Zhu; Shobhit Gupta; Marcello Canova; Stephanie Stockar; | arxiv-cs.LG | 2023-10-16 |
| 672 | A Model Predictive Control Trajectory Tracking Lateral Controller for Autonomous Vehicles Combined with Deep Deterministic Policy Gradient Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To solve the problem of trajectory tracking lateral control in autonomous driving technology, a model predictive control (MPC) controller trajectory tracking lateral control … |
Zhaokang Xie; Xiaoci Huang; Suyun Luo; Ruoping Zhang; Fang Ma; | Transactions of the Institute of Measurement and Control | 2023-10-13 |
| 673 | Receive, Reason, and React: Drive As You Say with Large Language Models in Autonomous Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel framework that leverages Large Language Models (LLMs) to enhance the decision-making process in autonomous vehicles. |
Can Cui; Yunsheng Ma; Xu Cao; Wenqian Ye; Ziran Wang; | arxiv-cs.HC | 2023-10-12 |
| 674 | Smart Road Management System for Prioritized Autonomous Vehicles Under Vehicle-to-everything (V2X) Communication IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
A. Naeem; Abdul Majid Soomro; Hafiz Muhammad Saim; Hassaan Malik; | Multim. Tools Appl. | 2023-10-12 |
| 675 | Detection Method of Blind Spots Region on Merging Section Using V2X Communication of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this study, we propose a method for detecting blind spots in merging sections of roads using V2X (Vehicle-to- Everything) communication to enhance the safety and reliability of … |
HYEONG-SEOK YUN et. al. | 2023 14th International Conference on Information and … | 2023-10-11 |
| 676 | Usefulness of Using Nvidia IsaacSim and IsaacGym for AI Robot Manipulation Training Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: AI technology is increasingly being used to learn robotic behavior. Various types of learning techniques are being applied to learn optimal robotics control or autonomous driving … |
Young-Sung Son; Hyonyong Han; Joonmyun Cho; | 2023 14th International Conference on Information and … | 2023-10-11 |
| 677 | Enhancing Nighttime Vehicle Detection Via Transformer-based Data Augmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving systems, vehicle detection technology typically relies on object detection models trained on driving image datasets. However, accurate vehicle detection … |
MIN YOUNG LIM et. al. | 2023 14th International Conference on Information and … | 2023-10-11 |
| 678 | Enhancing Traffic Sign Detection and Classification Through Multi-Task Learning Using CNNs Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advanced driver assistance (ADA) systems are the technology behind self-driving cars. Still, other technologies play a crucial part in the advancing autonomous vehicles and … |
Shambhavi Patil; Om Nankar; Manish Goyal; S. Wagle; | 2023 IEEE International Carnahan Conference on Security … | 2023-10-11 |
| 679 | A Method for Reducing Simulation Timing Deviation in QEMU-Based Virtual ECU Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As support for a wider range of functions and services of vehicles, such as driver assistance systems, autonomous driving, and OTA services, has increased in recent years, the … |
ANNA YANG et. al. | 2023 14th International Conference on Information and … | 2023-10-11 |
| 680 | Iterative Closest Point of Object-based Point Clouds for Multi-View Extension Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Importance of LiDAR-based vehicle detection techniques for ensuring safe driving is increasing. However, LiDAR data from a single vehicle may have occlusions caused by obstacles, … |
Junhyeong Ryu; Christina Suyong Shin; Jeongyeup Paek; | 2023 14th International Conference on Information and … | 2023-10-11 |
| 681 | Autonomous Golf Ball Picker: The First in Singapore Golf Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study develops an autonomous vehicle (AV) that demonstrate the capability to operationalize a self-driving buggy in a golf driving range environment. The autonomous golf ball … |
JOSEPH DE GUIA et. al. | 2023 IEEE 12th Global Conference on Consumer Electronics … | 2023-10-10 |
| 682 | Empirical Study and Signal Intensity Prediction for Cellular Vehicle-to-Everything (C-V2X) Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The development of autonomous driving has led to the proposal of vehicle-to-everything (V2X) to improve the reliability of autonomous driving systems through information sharing … |
YANG LU et. al. | 2023 IEEE 98th Vehicular Technology Conference … | 2023-10-10 |
| 683 | Ethical V2X: Cooperative Driving As The Only Ethical Path to Multi-Vehicle Safety Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We argue that an information exchange between vehicles via the vehicular communications is the foundation for ethical driving. In other words – autonomous vehicles must be … |
G. Sidorenko; Johan Thunberg; Alexey V. Vinel; | 2023 IEEE 98th Vehicular Technology Conference … | 2023-10-10 |
| 684 | Support of Teleoperated Driving with 5G Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Teleoperated driving (ToD) can support autonomous driving under complex or unexpected traffic scenarios that an autonomous vehicle may not understand or be able to handle. In ToD, … |
M. C. LUCAS-ESTAÑ et. al. | 2023 IEEE 98th Vehicular Technology Conference … | 2023-10-10 |
| 685 | An Anomaly Behavior Analysis Framework for Securing Autonomous Vehicle Perception Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes an Anomaly Behavior Analysis approach to detect a perception sensor attack against an autonomous vehicle. |
Murad Mehrab Abrar; Salim Hariri; | arxiv-cs.RO | 2023-10-08 |
| 686 | Indoor Localization for An Autonomous Model Car: A Marker-Based Multi-Sensor Fusion Framework Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an integrated framework for indoor localization and experimental validation of an autonomous driving system based on an advanced driver-assistance system (ADAS) model car. |
Xibo Li; Shruti Patel; David Stronzek-Pfeifer; Christof Büskens; | arxiv-cs.RO | 2023-10-08 |
| 687 | Curve Trajectory Model for Human Preferred Path Planning of Automated Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these paths are often found unnatural by human drivers. We propose a linear driver model, which can calculate node points that reflect the preferences of human drivers and based on these node points a human driver preferred motion path can be designed for autonomous driving. |
Gergo Igneczi; Erno Horvath; Roland Toth; Krisztian Nyilas; | arxiv-cs.RO | 2023-10-04 |
| 688 | Human-Like Autonomous Driving on Dense Traffic Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a imitation learning model for autonomous driving on highway traffic by mimicking human drivers’ driving behaviours. |
Mustafa Yildirim; Saber Fallah; | arxiv-cs.RO | 2023-10-03 |
| 689 | DriveGPT4: Interpretable End-to-end Autonomous Driving Via Large Language Model IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study seeks to extend the application of MLLMs to the realm of autonomous driving by introducing DriveGPT4, a novel interpretable end-to-end autonomous driving system based on LLMs. |
ZHENHUA XU et. al. | arxiv-cs.CV | 2023-10-02 |
| 690 | Traffic Mirror Detection and Annotation Methods from Street Images of Open Data for Preventing Accidents at Intersections By Alert Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, research on autonomous driving has been actively pursued in the automotive industry. In Japan, a bill to revise the Road Traffic Act law regarding level 4 … |
Da Li; Hikaru Hagura; Taichi Miyabashira; Yukiko Kawai; Shintaro Ono; | 2023 IEEE/CVF International Conference on Computer Vision … | 2023-10-02 |
| 691 | GPT-Driver: Learning to Drive with GPT IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a simple yet effective approach that can transform the OpenAI GPT-3.5 model into a reliable motion planner for autonomous vehicles. |
Jiageng Mao; Yuxi Qian; Junjie Ye; Hang Zhao; Yue Wang; | arxiv-cs.CV | 2023-10-02 |
| 692 | Human-Like Decision-Making of Autonomous Vehicles in Dynamic Traffic Scenarios IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the maturation of autonomous driving technology, the use of autonomous vehicles in a socially acceptable manner has become a growing demand of the public. Human-like … |
Tangyike Zhang; Junxiang Zhan; Jiamin Shi; J. Xin; Nanning Zheng; | IEEE/CAA Journal of Automatica Sinica | 2023-10-01 |
| 693 | A CNN-LSTM Based Model to Predict Trajectory of Human-Driven Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle trajectory prediction is essential in ensuring the safe and efficient operation of advanced driver assistance systems (ADAS) and autonomous vehicles (AVs), as it enables … |
Shehab Alsanwy; Houshyar Asadi; Mohammad Reza Chalak Qazani; Shady M. K. Mohamed; Saeid Nahavandi; | 2023 IEEE International Conference on Systems, Man, and … | 2023-10-01 |
| 694 | Human Inspired Autonomous Intersection Handling Using Game Theory Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Left turning for autonomous vehicles at intersections is challenging due to the various driving behaviors from different human drivers and the strong interaction between the … |
Keqi Shu; R. Mehrizi; Shen Li; Mohammad Pirani; A. Khajepour; | IEEE Transactions on Intelligent Transportation Systems | 2023-10-01 |
| 695 | A Hierarchical Vehicle Behavior Prediction Framework With Traffic Signals and Interactive Agents Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle behavior prediction in complex urban scenarios with traffic signals and interactive agents is an important yet complicated task for autonomous vehicles (AVs). In this … |
Zhen Yang; Rusheng Zhang; Gaurav Pandey; Neda Masoud; Henry X. Liu; | IEEE Transactions on Intelligent Transportation Systems | 2023-10-01 |
| 696 | Risk-Aware Decision-Making and Planning Using Prediction-Guided Strategy Tree for The Uncontrolled Intersections Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Uncontrolled intersections with interaction and uncertainties are challenging for autonomous vehicles (AV) to manage. In this work, we propose a decision-making model specific to … |
Ting Zhang; M. Fu; Wenjie Song; | IEEE Transactions on Intelligent Transportation Systems | 2023-10-01 |
| 697 | Cooperative LiDAR Localization and Mapping for V2X Connected Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cooperative Simultaneous Localization and Mapping (C-SLAM) is an active research topic in mobile robotics. However, its application in the field of autonomous driving is rare. … |
Bingyi Cao; Claas-Norman Ritter; Khaled Alomari; Daniel Goehring; | 2023 IEEE/RSJ International Conference on Intelligent … | 2023-10-01 |
| 698 | Shared Control for Giving Ordinary Drivers Expert Level Drifting Skills Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Expanding the shared control paradigm for autonomous vehicles to include the open-loop unstable region can improve safety in extreme vehicle conditions, such as tire saturation … |
Izumi Karino; James Dallas; Yan Ming Jonathan Goh; | 2023 IEEE International Conference on Systems, Man, and … | 2023-10-01 |
| 699 | DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Adversarial test generation techniques aim to produce input perturbations that cause a DNN to compute incorrect outputs. For autonomous vehicles driven by a DNN, however, the … |
Meriel von Stein; David Shriver; Sebastian G. Elbaum; | IEEE Transactions on Software Engineering | 2023-10-01 |
| 700 | A Development of Time-Varying Weight Model Predictive Control for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles, commonly known as self-driving cars, are rapidly gaining popularity due to their numerous advantages, such as reducing traffic, pollution, and emissions while … |
MOHAMMAD REZA CHALAK QAZANI et. al. | 2023 IEEE International Conference on Systems, Man, and … | 2023-10-01 |
| 701 | Leveraging Multimodal Sensing and Topometric Mapping for Human-Like Autonomous Navigation in Complex Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicle navigation in complex and unpredictable outdoor environments requires extensive and detailed understanding of the surrounding area and compliance with the … |
Kosmas Tsiakas; Dimitrios Alexiou; Dimitrios Giakoumis; Antonios Gasteratos; D. Tzovaras; | 2023 IEEE/RSJ International Conference on Intelligent … | 2023-10-01 |
| 702 | Pedestrian and Vehicle Behaviour Prediction in Autonomous Vehicle System – A Review IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Luiz G. Galvão; M. N. Huda; | Expert Syst. Appl. | 2023-10-01 |
| 703 | Prediction Based Trajectory Planning for Safe Interactions Between Autonomous Vehicles and Moving Pedestrians in Shared Spaces Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: It is an essential issue for autonomous vehicles to keep driving safety while sharing spaces with other road users, especially moving pedestrians. An ideal trajectory planning of … |
Bo Yang; Song Yan; Zheng Wang; Kimihiko Nakano; | IEEE Transactions on Intelligent Transportation Systems | 2023-10-01 |
| 704 | Adversarial Driving Behavior Generation Incorporating Human Risk Cognition for Autonomous Vehicle Evaluation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper focuses on the development of a novel framework for generating adversarial driving behavior of background vehicle interfering against the AV to expose effective and rational risky events. |
ZHEN LIU et. al. | arxiv-cs.AI | 2023-09-29 |
| 705 | Decision‐Making and Planning Methods for Autonomous Vehicles Based on Multistate Estimations and Game Theory Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A core issue inherent to decision‐making and path‐planning tasks is managing the uncertainties in the motion of dynamic obstacles. Therefore, this article proposes a new … |
QUAN YUAN et. al. | Advanced Intelligent Systems | 2023-09-28 |
| 706 | EDGAR: An Autonomous Driving Research Platform – From Feature Development to Real-World Application IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While current research and development of autonomous driving primarily focuses on developing new features and algorithms, the transfer from isolated software components into an … |
PHILLIP KARLE et. al. | ArXiv | 2023-09-27 |
| 707 | MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel framework, dubbed MV-DeepSDF, which estimates the optimal Signed Distance Function (SDF) shape representation from multi-sweep point clouds to reconstruct vehicles in the wild. |
YIBO LIU et. al. | iccv | 2023-09-27 |
| 708 | EDGAR: An Autonomous Driving Research Platform — From Feature Development to Real-World Application Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our paper targets these two aspects. We present our autonomous research vehicle EDGAR and its digital twin, a detailed virtual duplication of the vehicle. |
PHILLIP KARLE et. al. | arxiv-cs.RO | 2023-09-27 |
| 709 | WiDEVIEW: An UltraWideBand and Vision Dataset for Deciphering Pedestrian-Vehicle Interactions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate Ultra-wideband (UWB) as an additional modality for road users’ localization to enable a better understanding of vehicle-pedestrian interactions. |
Jia Huang; Alvika Gautam; Junghun Choi; Srikanth Saripalli; | arxiv-cs.RO | 2023-09-27 |
| 710 | V2X-Lead: LiDAR-based End-to-End Autonomous Driving with Vehicle-to-Everything Communication Integration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a LiDAR-based end-to-end autonomous driving method with Vehicle-to-Everything (V2X) communication integration, termed V2X-Lead, to address the challenges of navigating unregulated urban scenarios under mixed-autonomy traffic conditions. |
Zhiyun Deng; Yanjun Shi; Weiming Shen; | arxiv-cs.RO | 2023-09-26 |
| 711 | Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving Via Differentiable Multi-Sensor Kalman Filter Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel 3D multi-object cooperative tracking algorithm for autonomous driving via a differentiable multi-sensor Kalman Filter. |
Hsu-kuang Chiu; Chien-Yi Wang; Min-Hung Chen; Stephen F. Smith; | arxiv-cs.RO | 2023-09-26 |
| 712 | Interaction-Aware Decision-Making for Autonomous Vehicles in Forced Merging Scenario Leveraging Social Psychology Factors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider a behavioral model that incorporates both social behaviors and personal objectives of the interacting drivers. |
Xiao Li; Kaiwen Liu; H. Eric Tseng; Anouck Girard; Ilya Kolmanovsky; | arxiv-cs.AI | 2023-09-25 |
| 713 | Implicit Sensing in Traffic Optimization: Advanced Deep Reinforcement Learning Techniques Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A sudden roadblock on highways due to many reasons such as road maintenance, accidents, and car repair is a common situation we encounter almost daily. Autonomous Vehicles (AVs) … |
Emanuel Figetakis; Yahuza Bello; A. Refaey; Lei Lei; M. Moussa; | GLOBECOM 2023 – 2023 IEEE Global Communications Conference | 2023-09-25 |
| 714 | Autonomous Vehicles An Overview on System, Cyber Security, Risks, Issues, and A Way Forward Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This chapter explores the complex realm of autonomous cars, analyzing their fundamental components and operational characteristics. |
Md Aminul Islam; Sarah Alqahtani; | arxiv-cs.CE | 2023-09-25 |
| 715 | Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: The deployment of autonomous vehicles (AVs) has faced hurdles due to the dominance of rare but critical corner cases within the long-tail distribution of driving scenarios, which … |
Haoyi Niu; Qimao Chen; Yingyue Li; Yi Zhang; Jianming Hu; | arxiv-cs.LG | 2023-09-25 |
| 716 | Personalized Decision-Making and Control for Automated Vehicles Based on Generative Adversarial Imitation Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automated driving is one of the main trends in automotive field. However, existing algorithms for automated driving are mostly designed based on statistical rules without … |
XINYUE TANG et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 717 | Digital Twin Enabled Teleoperated Driving Under Network Delay Using Ego Vehicle Tracking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle teleoperation is increasingly seen as a complementary technology to autonomous driving allowing a human teleoperator to be the ultimate guarantor of safety. The major … |
Philipp Kremer; Navid Nourani-Vatani; Sangyoung Park; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 718 | Exploring The Impact of Autonomous Taxis on People with Disabilities Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Over the past two decades, transportation has become more accessible, but people with disabilities still face significant barriers to accessing these services. This research … |
Shravani Sharma; Roger Woodman; Mark T. Elliott; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 719 | An End-to-End Collaborative Learning Approach for Connected Autonomous Vehicles in Occluded Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Collaborative navigation becomes essential in situations of occluded scenarios in autonomous driving where independent driving policies are likely to lead to collisions. One … |
L. Parada; Hanlin Tian; Jose Javier Escribano Macias; Panagiotis Angeloudis; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 720 | Ride Comfort-enhanced Optimal Decision and Planning Strategy at Urban Signalized Intersections Based on Hybrid Model Predictive Control Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the support of Vehicle-to-infrastructure (V2I) communications, autonomous driving technology has been developed to drive various traffic conditions. However, it remains … |
Ara Jo; Sangyoon Kim; Heeseong Lee; Kyongsu Yi; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 721 | Comparative Safety and Stability Assessment of Autonomous Vehicle Lane-changing Strategies in Mixed Traffic at Urban Expressway Weaving Section Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of autonomous driving technology, the influence of autonomous vehicles on traffic safety and stability has received major attention. This study aims to … |
Ninghao Hou; Naikan Ding; Hui Zhang; Changhao Ran; Huiyu Wu; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 722 | Connected Vehicle-in-the-Loop Test Environment with V2X Communication and Its Applications for Connected and Automated Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With recent advances in information and communication technology (ICT), connected and automated vehicles (CAVs) that can overcome the limitations of stand-alone autonomous … |
S. HA et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 723 | A Practical MPC Method for Autonomous Driving Longitudinal Dynamic Control’s Real-World Challenges Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving’s Planning-and-Control (PnC) integration demands alignment in vehicle motion feasibility and motion error predictability, which requires the motion controller … |
JUNBO JING et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 724 | A Novel Concept of Traffic Data Collection and Utilization: Autonomous Vehicles As A Sensor Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Urban traffic state estimation aims at providing accurate and reliable information about traffic flow characteristics, which can be used for urban traffic management. Traditional … |
Yunfei Zhang; Mario Ilic; K. Bogenberger; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 725 | Modeling The Risk of Truck Rollover Crashes on Highway Ramps Using Drone Video Data and Mask-RCNN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automatic vehicle detection is essential in autonomous driving, traffic analysis, and transportation management. Deep neural networks (DNNs) have emerged as a powerful tool for … |
Zubin Bhuyan; Qilei Chen; Yuanchang Xie; Yu Cao; Benyuan Liu; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 726 | Legal Implications for Autonomous Vehicles Mobility in Future Smart Cities Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The paper analyzes the legal implications for autonomous vehicles deployment, as the preceding decade have demonstrated, especially in the automotive sector, the new ways of … |
Ankit R. Patel; M. Roscia; D. Vucinic; | 2023 IEEE International Smart Cities Conference (ISC2) | 2023-09-24 |
| 727 | Learning from Not All Vehicles Via Influence Function Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Learning robust driving policy for complex driving scenarios brings significant challenges to autonomous driving system due to its inherent black-box properties. Recent methods … |
JINSONG PANG et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 728 | Preemptive Haptic Stimuli to Mitigate Car Sickness and Its Influence on Task Performance: A Pilot Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Mitigating car sickness (CS) or motion sickness is a key adoption challenge that needs to be solved to realize the future that autonomous vehicles promise. It is known that while … |
Nishant Jalgaonkar; D. Schulman; A. Kim; Jiaxi Chen; S. Awtar; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 729 | EEG Signal Analysis for Early Detection of Critical Road Events and Emergency Response in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving technology has the potential to revolutionize the transportation industry. However, ensuring the safety of passengers and other traffic participants is a … |
XIAOFEI ZHANG et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 730 | A Novel Potential Line Strategy for Autonomous Vehicle Control in Lane-Free Traffic Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent developments in vehicular traffic have brought about the concept of lane-free traffic, challenging the traditional notion of parallel lanes, allowing vehicles to … |
Hanwen Zhang; M. Rostami-Shahrbabaki; D. Troullinos; K. Bogenberger; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 731 | A Defensive Motion Framework for Autonomous Platoon to Handle Cut-in Maneuvers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous platooning has emerged as a prominent trend in intelligent transportation systems. However, in hybrid traffic situations where autonomous vehicles (AVs) coexist with … |
Lei Song; Xiaohan Ma; Ehsan Hashemi; Hong Wang; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 732 | Data Collection in Automotive: A Deep Analysis of Carmakers’ Mobile App Privacy Policies Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, big data generated while driving have transformed road vehicles and facilitated the development of autonomous cars and personalized services. However, these … |
Chiara Bodei; Gianpiero Costantino; Marco De Vincenzi; Ilaria Matteucci; A. Monreale; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 733 | Simulation of Communication Network Latency Effects on Vehicle Teleoperation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Teleoperation is a fundamental feature for the development of autonomous vehicles. Not only offers it the possibility of an efficient fallback solution for emerging situations … |
CHRISTOPH BRUECKNER et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 734 | Evaluation of Autonomous Vehicle Sensing and Compute Load on A Chassis Dynamometer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The sensing and compute load auxiliary energy consumption in autonomous vehicles may be significant due to the large number of sensors and the high compute load from sensor … |
NICHOLAS E. BROWN et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 735 | Modelling The Relationship Between The Objective Measures of Car Sickness Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Car sickness is anticipated to occur more frequently in self-driving vehicles because of their design, especially the electronics and seating arrangements optimized for work and … |
Oluwaseyi Elizabeth Shodipe; Robert S. Allison; | 2023 IEEE Canadian Conference on Electrical and Computer … | 2023-09-24 |
| 736 | Roadside Infrastructure Assisted LiDAR/Inertial-based Mapping for Intelligent Vehicles in Urban Areas Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle-infrastructure cooperation is an emerging technology towards fully autonomous driving. LiDAR/Inertial odometry (LIO) based on onboard sensors can provide precise state … |
F. HUANG et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 737 | Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To solve the problem, we propose an interpretable neural planner to regress a heatmap, which effectively represents multiple potential goals in the bird’s-eye view of an autonomous vehicle. |
Haolan Liu; Jishen Zhao; Liangjun Zhang; | arxiv-cs.RO | 2023-09-23 |
| 738 | Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we use the communication of intent as a means to facilitate cooperation between autonomous vehicle agents. |
Nishtha Mahajan; Qi Zhang; | arxiv-cs.RO | 2023-09-22 |
| 739 | Enhancing Traffic Flow and Safety in Mixed Vehicle Fleets: Mitigating The Influence of Non-Cooperative Vehicles on Autonomous Intersection Management Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid advancement of autonomous vehicle technology, integrating mixed autonomous and non-autonomous vehicles that are not cooperative in vehicular network has become a … |
SeyedeZahra Chamideh; William Tarneberg; M. Kihl; | 2023 International Conference on Software, … | 2023-09-21 |
| 740 | How to Combine Issues Related to Autonomous Vehicles – A Proposal with A Literature Review Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article proposes a model that combines the issues related to autonomous vehicles into seven groups. The groups are included in mutual iterations between the user, the … |
J. Balcerek; P. Pawłowski; | 2023 Signal Processing: Algorithms, Architectures, … | 2023-09-20 |
| 741 | Takeover Context Matters: Characterising Context of Takeovers in Naturalistic Driving Using Super Cruise and Autopilot Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Takeover safety is a critical issue when using Level 2 advanced driver assistance systems. Understanding the context of takeover can facilitate the development of driver … |
SHIYAN YANG et. al. | Proceedings of the 15th International Conference on … | 2023-09-18 |
| 742 | I, AV: A Ghost Driver Field Study Exploring The Application of Anthropomorphism in AV-Pedestrian Communication Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We employed the ‘Ghost Driver’ methodology to emulate an autonomous vehicle (AV) and explored pedestrians’ (n=520) crossing behaviour in response to external human-machine … |
D. Large; M. Hallewell; Xuekun Li; Catherine Harvey; Gary Burnett; | Adjunct Proceedings of the 15th International Conference on … | 2023-09-18 |
| 743 | Drive As You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel framework that leverages Large Language Models (LLMs) to enhance autonomous vehicles’ decision-making processes. |
Can Cui; Yunsheng Ma; Xu Cao; Wenqian Ye; Ziran Wang; | arxiv-cs.HC | 2023-09-18 |
| 744 | 1st International Workshop on Human And Technology (i-WHAT) Theme: In The Realm of ADAS Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Over the past few years, there has been increased emphasis placed on the research and development of in-vehicle advanced driver assistance systems (ADAS) that can be used in both … |
ANKIT R. PATEL et. al. | Adjunct Proceedings of the 15th International Conference on … | 2023-09-18 |
| 745 | PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing deep learning-based self-calibration methods focus on small realignments and still rely on initial estimates, limiting their practicality. In this paper, we present PseudoCal, a novel self-calibration method that overcomes these limitations by leveraging the pseudo-LiDAR concept and working directly in the 3D space instead of limiting itself to the camera field of view. |
Mathieu Cocheteux; Julien Moreau; Franck Davoine; | arxiv-cs.CV | 2023-09-18 |
| 746 | Bird’s Eye View Effect on Situational Awareness in Remote Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles (AVs) have the potential to transform the way we live. Nevertheless, at least in the near foreseeable future, it seems that AVs will not be able to resolve … |
Avishag Boker; J. Lanir; | Adjunct Proceedings of the 15th International Conference on … | 2023-09-18 |
| 747 | Data Fusion in Infrastructure-Augmented Autonomous Driving System: Why? Where? and How? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article is the first to provide a thorough system design overview along with the fusion methods selection criteria of a real-world cooperative autonomous driving system … |
JIANDA WANG et. al. | IEEE Internet of Things Journal | 2023-09-15 |
| 748 | MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present MBAPPE, a novel approach to motion planning for autonomous driving combining tree search with a partially-learned model of the environment. |
Raphael Chekroun; Thomas Gilles; Marin Toromanoff; Sascha Hornauer; Fabien Moutarde; | arxiv-cs.RO | 2023-09-15 |
| 749 | The Impact of Different Backbone Architecture on Autonomous Vehicle Dataset Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While these backbone architectures have shown state-of-the-art performance on generic object detection datasets like MS-COCO and PASCAL-VOC, evaluating their performance under an autonomous driving environment has not been previously explored. To address this, our study evaluates three well-known autonomous vehicle datasets, namely KITTI, NuScenes, and BDD, to compare the performance of different backbone architectures on object detection tasks. |
Ning Ding; Azim Eskandarian; | arxiv-cs.CV | 2023-09-15 |
| 750 | Driving Decision Making of Autonomous Vehicle According to Queensland Overtaking Traffic Rules Related Papers Related Patents Related Grants Related Venues Related Experts View |
Hanif Bhuiyan; Guido Governatori; A. Rakotonirainy; Meng Weng Wong; Avishkar Mahajan; | The Review of Socionetwork Strategies | 2023-09-12 |
| 751 | Yaw Rate-based PID Control for Lateral Dynamics of Autonomous Vehicles, Design and Implementation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The desired path following for an autonomous vehicle can be achieved by ensuring the desired yaw rate response. In conventional methods the control of lateral vehicle dynamics by … |
A. Bonci; A. D. Biase; M. C. Giannini; Sauro Longhi; | 2023 IEEE 28th International Conference on Emerging … | 2023-09-12 |
| 752 | Reverse Traceability Framework for Identifying Liability of Crashes for Self-Driving Vehicles Using Blockchains Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Modern vehicles are increasingly having a higher level of technology and automation. Humans are increasingly becoming dependent on these modern technologies to take decisions … |
Samar Gupta; J. K. Verma; | J. Glob. Inf. Manag. | 2023-09-08 |
| 753 | FisheyePP4AV: A Privacy-preserving Method for Autonomous Vehicles on Fisheye Camera Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we pay particular attention to protecting privacy while yet adhering to several laws for fisheye camera photos taken by driverless vehicles. |
Linh Trinh; Bach Ha; Tu Tran; | arxiv-cs.CV | 2023-09-07 |
| 754 | Self-Supervised Learning of Depth Maps for Autonomous Cars Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving, the knowledge of scene depth is essential for the control of car navigation. The depth can be measured by dedicated sensors like sonar, radar, LiDAR, ToF … |
Andrei-Sebastian Petrescu; Constantin-Cristian Damian; D. Coltuc; | 2023 31st European Signal Processing Conference (EUSIPCO) | 2023-09-04 |
| 755 | A-VRPD: Automating Drone-Based Last-Mile Delivery Using Self-Driving Cars IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Drone-based last-mile delivery is an emerging technology that uses drones loaded onto a truck to deliver parcels to customers. In this paper, we introduce a fully automated system … |
N. Imran; Sabyasachee Mishra; M. Won; | IEEE Transactions on Intelligent Transportation Systems | 2023-09-01 |
| 756 | Safe High-Performance Autonomous Off-Road Driving Using Covariance Steering Stochastic Model Predictive Control IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous racing is a high-performance, safety-critical task that inherently involves a high degree of uncertainty (especially in off-road unstructured environments), as driving … |
Jacob Knaup; Kazuhide Okamoto; P. Tsiotras; | IEEE Transactions on Control Systems Technology | 2023-09-01 |
| 757 | The Interacting Multiple Model Smooth Variable Structure Filter for Trajectory Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: An autonomous vehicle would benefit from being able to predict trajectories of other vehicles in its vicinity for improved safety. In order for the self-driving car to plan safe … |
Salman Akhtar; S. Habibi; | IEEE Transactions on Intelligent Transportation Systems | 2023-09-01 |
| 758 | Suicidal Pedestrian: Generation of Safety-Critical Scenarios for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a method for designing a suicidal pedestrian agent within the CARLA simulator, enabling the automatic generation of traffic scenarios for testing safety of autonomous vehicles (AVs) in dangerous situations with pedestrians. |
Yuhang Yang; Kalle Kujanpaa; Amin Babadi; Joni Pajarinen; Alexander Ilin; | arxiv-cs.RO | 2023-09-01 |
| 759 | Anomaly Detection Against GPS Spoofing Attacks on Connected and Autonomous Vehicles Using Learning From Demonstration IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: GPS spoofing attacks pose great challenges to connected vehicle (CVs) safety applications and localization of autonomous vehicles (AVs). In this paper, we propose to utilize … |
ZHEN YANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-09-01 |
| 760 | Towards Robust Decision-Making for Autonomous Driving on Highway IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Reinforcement learning (RL) methods are commonly regarded as effective solutions for designing intelligent driving policies. Nonetheless, even if the RL policy is converged after … |
KAI YANG et. al. | IEEE Transactions on Vehicular Technology | 2023-09-01 |
| 761 | How Human Drivers Can Benefit From Collective Perception: A User Study Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Collective perception is one of the key ideas of vehicular networking and allows the exchange of data about perceived objects. However, unlike autonomous driving systems, human … |
Keno Garlichs; Maximilian Huber; Lars C. Wolf; | IEEE Intelligent Transportation Systems Magazine | 2023-09-01 |
| 762 | Sustainable Lifecycle Management for Automotive Development Via Multi-Dimensional Circular Design Framework Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous development of autonomous driving technology, intelligent vehicles represented by autonomous taxis have begun to participate in the transportation system. … |
Yongkang Zhang; Jicheng Chen; Siyu Teng; Hui Zhang; Fei-Yue Wang; | IEEE Transactions on Intelligent Vehicles | 2023-09-01 |
| 763 | A²CoST: An ASP-based Avoidable Collision Scenario Testbench for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper addresses the challenge of generating safety-critical scenarios with multiple adversarial vehicles for testing autonomous vehicles. Such scenarios must be plausible and … |
Ruolin Wang; Yuejiao Xu; Jie Peng; Jianmin Ji; | International Conference on Principles of Knowledge … | 2023-09-01 |
| 764 | Maximum Throughput Dispatch for Shared Autonomous Vehicles Including Vehicle Rebalancing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Shared autonomous vehicles (SAVs) provide on demand point-to-point transportation for passengers. This service has been extensively studied using dispatch heuristics and agent … |
Jake Robbennolt; M. Levin; | IEEE Transactions on Intelligent Transportation Systems | 2023-09-01 |
| 765 | Driving in The Rain: A Survey Toward Visibility Estimation Through Windshields Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Rain can significantly impair the driver’s sight and affect his performance when driving in wet conditions. Evaluation of driver visibility in harsh weather, such as rain, has … |
J. Morden; Fabio Caraffini; Ioannis Kypraios; A. Al-Bayatti; Richard Smith; | Int. J. Intell. Syst. | 2023-08-31 |
| 766 | High Performance Networking Layer for Simulation Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The simulation also powers real-world Autonomous Vehicles nowadays. Therefore, We have built an Autonomous Vehicle Simulation Software – called AVIS Engine – that provides tools and features that help develop autonomous vehicles in various environments. |
Amir Mohammad Zarif Shahsavan Nejad; Amir Mahdi Zarif Shahsavan Nejad; Amirali Setayeshi; Soroush Sadeghnejad; | arxiv-cs.RO | 2023-08-30 |
| 767 | Assessing Drivers’ Situation Awareness in Semi-Autonomous Vehicles: ASP Based Characterisations of Driving Dynamics for Modelling Scene Interpretation and Projection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In these situations the driver has to quickly build awareness for the traffic situation to be able to take over control and safely drive the car. Within this context we present a software and hardware framework to asses how aware the driver is about the situation and to provide human-centred assistance to help in building situation awareness. |
Jakob Suchan; Jan-Patrick Osterloh; | arxiv-cs.AI | 2023-08-30 |
| 768 | An Autonomous Vehicle Platform for Parcel Delivery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to its affordability, adaptability, and ease of deployment, autonomous freight vehicles are gaining popularity and offering creative solutions for last-mile distribution, … |
YANGZESHENG LU et. al. | 2023 28th International Conference on Automation and … | 2023-08-30 |
| 769 | Autonomous Vehicle Based on ROS2 for Indoor Package Delivery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the growing demand for logistics transportation, autonomous vehicles are receiving more attention due to their flexibility, efficiency, and reliability. This paper presents … |
YUXIANG LIU et. al. | 2023 28th International Conference on Automation and … | 2023-08-30 |
| 770 | End-to-End Approach for Autonomous Driving: A Supervised Learning Method Using Computer Vision Algorithms for Dataset Creation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a solution for an autonomously driven vehicle (a robotic car) based on artificial intelligence using a supervised learning method. A scaled-down robotic car … |
Akemi Galvez; Inês A. Ribeiro; T. Ribeiro; G. Lopes; A. Ribeiro; | Algorithms | 2023-08-28 |
| 771 | End-to-End Driving Via Self-Supervised Imitation Learning Using Camera and LiDAR Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Often, publicly available driving datasets are collected with limited driving scenes, and collecting vehicle control data is only available by vehicle manufacturers. To address these challenges, this letter proposes the first fully self-supervised learning framework, self-supervised imitation learning (SSIL), for E2E driving, based on the self-supervised regression learning (SSRL) framework.The proposed SSIL framework can learn E2E driving networks \emph{without} using driving command data or a pre-trained model. |
JIN BOK PARK et. al. | arxiv-cs.RO | 2023-08-28 |
| 772 | ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a black-box testing framework ReMAV that uses offline trajectories first to analyze the existing behavior of autonomous vehicles and determine appropriate thresholds to find the probability of failure events. |
Aizaz Sharif; Dusica Marijan; | arxiv-cs.AI | 2023-08-28 |
| 773 | Transfusor: Transformer Diffusor for Controllable Human-like Generation of Vehicle Lane Changing Trajectories Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the success of these simulation-based experiments heavily relies on the realism of the testing scenarios. It is needed to create more flexible and high-fidelity testing scenarios in VST in order to increase the safety and reliabilityof ADS and ADAS.To address this challenge, this paper introduces the Transfusor model, which leverages the transformer and diffusor models (two cutting-edge deep learning generative technologies). |
Jiqian Dong; Sikai Chen; Samuel Labi; | arxiv-cs.AI | 2023-08-28 |
| 774 | GNSS Spoofing Detection Based Correlation and Distance for Vehicle Application Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicle (AV) has been a hot topic in recent years, but some safety accidents of some self-driving cars have also aroused people’s concern about the safety of AV. Among … |
Yanzhao Yang; Jun Guo; Shouwei Wang; Jiesen Yang; Hong Liu; | 2023 IEEE International Conference on Smart Internet of … | 2023-08-25 |
| 775 | Racing Towards Reinforcement Learning Based Control of An Autonomous Formula SAE Car Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With the rising popularity of autonomous navigation research, Formula Student (FS) events are introducing a Driverless Vehicle (DV) category to their event list. This paper presents the initial investigation into utilising Deep Reinforcement Learning (RL) for end-to-end control of an autonomous FS race car for these competitions. |
Aakaash Salvaji; Harry Taylor; David Valencia; Trevor Gee; Henry Williams; | arxiv-cs.RO | 2023-08-24 |
| 776 | Identifying Reaction-Aware Driving Styles of Stochastic Model Predictive Controlled Vehicles By Inverse Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we describe the driving style as a cost function of a series of weighted features. |
NI DANG et. al. | arxiv-cs.RO | 2023-08-23 |
| 777 | Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers Via Information Sharing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Hybrid traffic which involves both autonomous and human-driven vehicles would be the norm of the autonomous vehicles’ practice for a while. On the one hand, unlike autonomous … |
Jiangwei Wang; Lili Su; Songyang Han; Dongjin Song; Fei Miao; | ACM Transactions on Cyber-Physical Systems | 2023-08-23 |
| 778 | Integrating Expert Guidance for Efficient Learning of Safe Overtaking in Autonomous Driving Using Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The guidance system developed in this study is composed of constrained iterative LQR and PID controllers. |
Jinxiong Lu; Gokhan Alcan; Ville Kyrki; | arxiv-cs.RO | 2023-08-18 |
| 779 | Robust Autonomous Vehicle Pursuit Without Expert Steering Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a learning method for lateral and longitudinal motion control of an ego-vehicle for vehicle pursuit. |
Jiaxin Pan; Changyao Zhou; Mariia Gladkova; Qadeer Khan; Daniel Cremers; | arxiv-cs.RO | 2023-08-16 |
| 780 | Self-Supervised Online Camera Calibration for Automated Driving and Parking Applications Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Proposed is a deep learning framework to learn intrinsic and extrinsic calibration of the camera in real time. |
Ciarán Hogan; Ganesh Sistu; Ciarán Eising; | arxiv-cs.CV | 2023-08-16 |
| 781 | ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, in response to the call for data security laws and regulations and based on the advantages of large Field of View(FoV) of the fisheye camera, we build the first Autopilot Desensitization Dataset, called ADD, and formulate the first deep-learning-based image desensitization framework, to promote the study of image desensitization in autonomous driving scenarios. |
Zizhang Wu; Chenxin Yuan; Hongyang Wei; Fan Song; Tianhao Xu; | arxiv-cs.CV | 2023-08-15 |
| 782 | A Data-Driven Control-Policy-Based Driving Safety Analysis System for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: An autonomous vehicle (AV) is a combination of subsystems, measuring its driving environments with different sensors (e.g., camera, RADAR, and LiDAR) in real time. AVs follow … |
Liuwang Kang; Haiying Shen; Yezhuo Li; Shiwei Xu; | IEEE Internet of Things Journal | 2023-08-15 |
| 783 | Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing methods mainly rely on generic trajectory predictions derived from large datasets, overlooking the personalized driving patterns of individual drivers. To address this gap, we propose an approach for interaction-aware personalized vehicle trajectory prediction that incorporates temporal graph neural networks. |
Amr Abdelraouf; Rohit Gupta; Kyungtae Han; | arxiv-cs.LG | 2023-08-14 |
| 784 | Evaluation of Wireless Deauthentication Attacks and Countermeasures on Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: An autonomous vehicle (AV), also known as driver-less car, is able to operate itself and execute critical activities without the need for human interaction. Sensors, complicated … |
Ramnik Singh Reen; Gaurav Dharmani; Rahul Gothwal; Eslam G. AbdAllah; | 2023 10th International Conference on Dependable Systems … | 2023-08-10 |
| 785 | Hybrid Deep Reinforcement Learning Model for Safe and Efficient Autonomous Vehicles at Pedestrian Crossings Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The autonomous vehicle is a particularly promising area of application for machine learning algorithms. Autonomous driving is challenging due to the complexity of the road … |
Alexandre Brunoud; Alexandre Lombard; A. Abbas-Turki; N. Gaud; Jo Kang-Hyun; | 2023 International Workshop on Intelligent Systems (IWIS) | 2023-08-09 |
| 786 | Taillight Signal Recognition Via Sequential Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving, it is crucial to capture the driving intentions of other vehicles on the road, which can then be used for the autonomous driving vehicle to plan a safe … |
Kotcharat Kitchat; Yen-Ju Chen; Min-Te Sun; Thattapon Surasak; | Proceedings of the 52nd International Conference on … | 2023-08-07 |
| 787 | Adaptive Patched Grid Mapping Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel adaptive grid mapping approach, the Adaptive Patched Grid Map, which enables a situational aware grid based perception for autonomous vehicles. |
Thomas Wodtko; Thomas Griebel; Michael Buchholz; | arxiv-cs.RO | 2023-08-07 |
| 788 | MUDROID: Android Malware Detection and Classification Based on Permission and Behavior for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the growing popularity of autonomous vehicles, ensuring their safety has become a significant concern. Vehicle manufacturers have incorporated the Android operating system to … |
Binhui Tang; Hai Da; Bochang Wang; Junfeng Wang; | Transactions on Emerging Telecommunications Technologies | 2023-08-07 |
| 789 | How to Program Autonomous Vehicle (AV) Crash Algorithms: An Islamic Ethical Perspective Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Purpose Fully autonomous self-driving cars not only hold the potential for significant economic and environmental advantages but also introduce complex ethical dilemmas. One of … |
Ezieddin Elmahjub; Junaid Qadir; | J. Inf. Commun. Ethics Soc. | 2023-08-07 |
| 790 | DNFOMP: Dynamic Neural Field Optimal Motion Planner for Navigation of Autonomous Robots in Cluttered Environment Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Some techniques do consider it, but they rely on updating the environment on-the-go rather than explicitly accounting for the dynamics, which is not suitable for self-driving. To address this, we propose a novel method based on the Neural Field Optimal Motion Planner (NFOMP), which outperforms state-of-the-art approaches in terms of normalized curvature and the number of cusps. |
Maksim Katerishich; Mikhail Kurenkov; Sausar Karaf; Artem Nenashev; Dzmitry Tsetserukou; | arxiv-cs.RO | 2023-08-07 |
| 791 | Vehicle Localization in A Completed City-Scale 3D Scene Using Aerial Images and An On-Board Stereo Camera Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Simultaneous Localization and Mapping (SLAM) forms the foundation of vehicle localization in autonomous driving. Utilizing high-precision 3D scene maps as prior information in … |
Haihan Zhang; Chun Xie; H. Toriya; Hidehiko Shishido; I. Kitahara; | Remote. Sens. | 2023-08-04 |
| 792 | Target-point Attention Transformer: A Novel Trajectory Predict Network for End-to-end Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Transformer-based trajectory prediction network for end-to-end autonomous driving without rules called Target-point Attention Transformer network (TAT). |
Jingyu Du; Yang Zhao; Hong Cheng; | arxiv-cs.RO | 2023-08-02 |
| 793 | Spatial Intelligence of A Self-driving Car and Rule-Based Decision Making Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we show how rule-based decision making can be combined with traditional motion planning techniques to achieve human-like behavior of a self-driving vehicle in complex traffic situations. |
Stanislav Kikot; | arxiv-cs.RO | 2023-08-02 |
| 794 | PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we develop a co-operative advisory system based on PC policies with a novel driver trait conditioned Personalized Residual Policy, PeRP. |
AAMIR HASAN et. al. | arxiv-cs.LG | 2023-08-01 |
| 795 | An Agile Autonomous Car Driving Assistance Using Hybrid Optimization-based Kernel Support Vector Convolutional Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jeyalakshmi Shunmugiah; R. Sethuraman; L. Ramachandran; Vivekanandan Govindarajan; | Expert Syst. Appl. | 2023-08-01 |
| 796 | The Autonomous Vehicle Assistant (AVA): Emerging Technology Design Supporting Blind and Visually Impaired Travelers in Autonomous Transportation Related Papers Related Patents Related Grants Related Venues Related Experts View |
PAUL D. S. FINK et. al. | Int. J. Hum. Comput. Stud. | 2023-08-01 |
| 797 | Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The autonomous vehicle is widely applied in various ground operations, in which motion planning and tracking control are becoming the key technologies to achieve autonomous … |
Guodong Du; Y. Zou; Xudong Zhang; Zirui Li; Qi Liu; | IEEE Transactions on Intelligent Transportation Systems | 2023-08-01 |
| 798 | Toward Intelligent Sensing: Optimizing Lidar Beam Distribution for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: LiDAR (Light Detection And Ranging) sensors have been widely used in autonomous vehicles as the main sensors. According to the specification details of the widely used 3D LiDAR … |
GENGHANG ZHUANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-08-01 |
| 799 | A Temporal Multi-Gate Mixture-of-Experts Approach for Vehicle Trajectory and Driving Intention Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate vehicle trajectory prediction is critical for autonomous vehicles and advanced driver assistance systems to make driving decisions and improve traffic safety. This paper … |
Renteng Yuan; M. Abdel-Aty; Q. Xiang; Zijin Wang; Xin Gu; | IEEE Transactions on Intelligent Vehicles | 2023-08-01 |
| 800 | Reconfigurable Holographic Surface Aided Collaborative Wireless SLAM Using Federated Learning for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Simultaneous Localization and Mapping (SLAM) utilizing millimeter-wave (mmWave) radars is widely recognized as an essential component for autonomous driving applications. In this … |
HAOBO ZHANG et. al. | IEEE Transactions on Intelligent Vehicles | 2023-08-01 |
| 801 | Potential Sources of Sensor Data Anomalies for Autonomous Vehicles: An Overview from Road Vehicle Safety Perspective IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
XIANGMO ZHAO et. al. | Expert Syst. Appl. | 2023-08-01 |
| 802 | On Transferability of Driver Observation Models from Simulated to Real Environments in Autonomous Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We utilize the Inflated 3D ConvNet (I3D) model, a popular choice for driver observation, with Gradient-weighted Class Activation Mapping (Grad-CAM) for detailed analysis of model decision-making. |
Walter Morales-Alvarez; Novel Certad; Alina Roitberg; Rainer Stiefelhagen; Cristina Olaverri-Monreal; | arxiv-cs.CV | 2023-07-31 |
| 803 | Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this letter, we propose a pipeline for learning unconstrained images and building a dataset from processed images. |
Tianyu Liu; Hao Zhao; Yang Yu; Guyue Zhou; Ming Liu; | arxiv-cs.CV | 2023-07-26 |
| 804 | Patterns of Vehicle Lights: Addressing Complexities in Curation and Annotation of Camera-Based Vehicle Light Datasets and Metrics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores the representation of vehicle lights in computer vision and its implications for various tasks in the field of autonomous driving. |
Ross Greer; Akshay Gopalkrishnan; Maitrayee Keskar; Mohan Trivedi; | arxiv-cs.CV | 2023-07-26 |
| 805 | Safety-Assured Speculative Planning with Adaptive Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, to maximize performance while ensuring safety, we propose a novel speculative planning framework based on a prediction-planning interface that quantifies both the behavior-level and trajectory-level uncertainties of surrounding vehicles. |
XIANGGUO LIU et. al. | arxiv-cs.RO | 2023-07-21 |
| 806 | Adaptive Identification Method for Vehicle Driving Model Capable of Driving with Large Acceleration Changes and Steering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the future, considering the expansion of the autonomous driving society, autonomous driving systems that can drive safely and quickly will be required for the purpose of saving … |
Soichiro Matsumoto; M. Saito; | J. Adv. Comput. Intell. Intell. Informatics | 2023-07-20 |
| 807 | Development of An Autonomous Reverse Engineering Capability for Controller Area Network Messages to Support Autonomous Control Retrofits Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the autonomous vehicle industry continues to grow, various companies are exploring the use of aftermarket kits to retrofit existing vehicles with semi-autonomous capabilities. … |
Kevin Setterstrom; J. Straub; | ArXiv | 2023-07-20 |
| 808 | Explaining Autonomous Driving Actions with Visual Question Answering IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To facilitate interpretability of decision-making in autonomous driving, we present a Visual Question Answering (VQA) framework, which explains driving actions with question-answering-based causal reasoning. |
Shahin Atakishiyev; Mohammad Salameh; Housam Babiker; Randy Goebel; | arxiv-cs.CV | 2023-07-19 |
| 809 | Exploring Acceptance of Autonomous Vehicle Policies Using KeyBERT and SNA: Targeting Engineering Students Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study aims to explore user acceptance of Autonomous Vehicle (AV) policies with improved text-mining methods. |
Jinwoo Ha; Dongsoo Kim; | arxiv-cs.SI | 2023-07-18 |
| 810 | Outdoor Field Test of 5G-based V2X Communication for Real-Time Monitoring and Remote Control of A Monorail Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Smart cities will be significantly shaped by their modes of mobility. For the blend of public and individual transport, smart mobility will introduce autonomous vehicles on a … |
DENIS GUSTIN et. al. | 2023 IEEE 21st International Conference on Industrial … | 2023-07-18 |
| 811 | Detection and Mitigation of GPS Attack Via Cooperative Localization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Connected automated vehicles (CAVs) share information through vehicular networks; however, cyber-attacks on GPS may cause significant challenges to compromise vehicle security and … |
Zhuang Wang; Zhenpo Wang; Jianhong Liu; Guoqiang Li; | 2023 IEEE 21st International Conference on Industrial … | 2023-07-18 |
| 812 | Image-based Regularization for Action Smoothness in Autonomous Miniature Racing Car with Deep Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To cope with high-dimensional features, this paper proposes image-based regularization for action smoothness (I-RAS) for solving jerky control in autonomous miniature car racing. |
HOANG-GIANG CAO et. al. | arxiv-cs.RO | 2023-07-17 |
| 813 | A Real-Time Vehicle Speed Prediction Method Based on A Lightweight Informer Driven By Big Temporal Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: At present, the design of modern vehicles requires improving driving performance while meeting emission standards, leading to increasingly complex power systems. In autonomous … |
XINYU TIAN et. al. | Big Data Cogn. Comput. | 2023-07-15 |
| 814 | Study on The Impacts of Hazardous Behaviors on Autonomous Vehicle Collision Rates Based on Humanoid Scenario Generation in CARLA Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Testing of function safety and Safety Of The Intended Functionality (SOTIF) is important for autonomous vehicles (AVs). It is hard to test the AV’s hazard response in the real … |
LONGFEI MO et. al. | 2023 7th CAA International Conference on Vehicular Control … | 2023-07-15 |
| 815 | BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel behavior-guided fuzzing technique (BehAVExplor) to explore the different behaviors of the ego vehicle (i.e., the vehicle controlled by the ADS under test) and detect diverse violations. |
Mingfei Cheng; Yuan Zhou; Xiaofei Xie; | arxiv-cs.SE | 2023-07-14 |
| 816 | PhysCov: Physical Test Coverage for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Adequately exercising the behaviors of autonomous vehicles is fundamental to their validation. However, quantifying an autonomous vehicle’s testing adequacy is challenging as the … |
Carl Hildebrandt; M. Stein; Sebastian G. Elbaum; | Proceedings of the 32nd ACM SIGSOFT International Symposium … | 2023-07-12 |
| 817 | Runtime Safety Assurance of Autonomous Vehicles Used for Last-mile Delivery in Urban Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With the two cooperating robots, the project LogiSmile aims to find a possible solution to the challenges of urban goods distribution in congested areas and to demonstrate the future of urban mobility. |
Iqra Aslam; Adina Aniculaesei; Abhishek Buragohain; Daniel Bamal; Prof. Dr. Andreas Rausch; | arxiv-cs.SE | 2023-07-10 |
| 818 | Legal Decision-making for Highway Automated Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, the paper proposes a trigger-based layered compliance decision-making framework. |
XIAOHAN MA et. al. | arxiv-cs.RO | 2023-07-09 |
| 819 | Toward Applying An Improved Path Planning on Autonomous Car Parking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we clarify important sub-issues, which are overstaying of vehicles in parking lots, integration of 3iDAR sensors and simulating in cold weather environments, … |
Suma Saathvika Duddela; Ihsan Ibrahim; Takaaki Kawai; Naoki Fukuta; | 2023 14th IIAI International Congress on Advanced Applied … | 2023-07-08 |
| 820 | Enhancing Action Recognition in Vehicle Environments With Human Pose Information Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Monitoring driver behavior and recognizing driver actions is a crucial task in modern semi-autonomous driving conditions, where secondary activities, irrelevant to driving, should … |
Michaela Konstantinou; George Retsinas; P. Maragos; | Proceedings of the 16th International Conference on … | 2023-07-05 |
| 821 | Re-ID Technology for V2I Based Cooperative Driving Protocol Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, there are collaborative efforts in establishing protocols between autonomous vehicles(AV) and infrastructures to provide safety and traffic efficiency on the … |
Junhyek Jang; Ki-Taeg Lim; Sanghun Yoon; Daewon Chae; S. Jang; | 2023 Fourteenth International Conference on Ubiquitous and … | 2023-07-04 |
| 822 | A Study on Safety Verification Methods and Procedures for Self-Driving Demonstration Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper established three criteria for safety verification for autonomous driving demonstration projects. We diagnosed safety verification for three autonomous driving … |
Dae-Kug Lee; Dong Hoon Lee; Eun Young Cho; Choong-Ho Cho; | 2023 Fourteenth International Conference on Ubiquitous and … | 2023-07-04 |
| 823 | From Video to Hybrid Simulator: Exploring Affective Responses Toward Non-Verbal Pedestrian Crossing Actions Using Camera and Physiological Sensors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Capturing drivers’ affective responses given driving context and driver-pedestrian interactions remains a challenge for designing in-vehicle, empathic interfaces. To address this, … |
SHRUTI RAO et. al. | International Journal of Human–Computer Interaction | 2023-07-04 |
| 824 | Evaluation and Control Model Design of Human Factors for Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence this paper proposes a local path planning algorithm for obstacle avoidance with occupant subjective feelings considered. |
Weishun Deng; Fan Yu; Zhe Wang; Dengbo He; | arxiv-cs.RO | 2023-07-02 |
| 825 | Effects of Explanation Specificity on Passengers in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate the effects of natural language explanations’ specificity on passengers in autonomous driving. |
Daniel Omeiza; Raunak Bhattacharyya; Nick Hawes; Marina Jirotka; Lars Kunze; | arxiv-cs.RO | 2023-07-02 |
| 826 | Adaptive Sampling Control in Motion Planning of Autonomous Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main contribution of this thesis is the significant decrease in the complexity of the optimization problem for motion planning, without sacrificing the quality of the final trajectory output, with the implementation of an Adaptive Sampling method based on Artificial Potential Field (ASAPF). |
Yucheng LI; | arxiv-cs.RO | 2023-07-02 |
| 827 | Radio Jamming in Vehicle-to-Everything Communication Systems: Threats and Countermeasures Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: More than 1.35 million lives are lost due to traffic accidents, with 94% of these accidents caused by human error. In order to significantly improve the traffic safety and … |
A. SILVA et. al. | 2023 23rd International Conference on Transparent Optical … | 2023-07-02 |
| 828 | HCPerf: Driving Performance-Directed Hierarchical Coordination for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of autonomous driving poses new research challenges to the on-vehicle computing system. In particular, the execution time of autonomous driving tasks highly … |
Jialiang Ma; Li Li; Zejiang Wang; Jun Wang; Chengzhong Xu; | 2023 IEEE 43rd International Conference on Distributed … | 2023-07-01 |
| 829 | Robust Preview Path Tracking Control of Autonomous Vehicles Under Time-Varying System Delays and Saturation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Realistic uncertainties and disturbances cannot be ignored when striving towards high-performance autonomous driving. Meanwhile, advanced vehicular sensing technology enables more … |
GUOSHUN CAI et. al. | IEEE Transactions on Vehicular Technology | 2023-07-01 |
| 830 | Multimodal Cooperative 3D Object Detection Over Connected Vehicles for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Having an accurate and comprehensive understanding of surrounding environment is the first step toward autonomous driving. For an autonomous car to plan its actions, for example, … |
Fangyuan Chi; Yixiao Wang; M. Pourazad; P. Nasiopoulos; Victor C. M. Leung; | IEEE Network | 2023-07-01 |
| 831 | Reliability of Self-Driving Cars: When Can We Remove The Safety Driver? Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Self-driving cars and other vehicles are being increasingly demonstrated, released, and deployed on roads. Yet only a handful of special-case vehicles have obtained a permit to go … |
M. Bjelica; B. Mrazovac; | IEEE Intelligent Transportation Systems Magazine | 2023-07-01 |
| 832 | Vulnerable Road User Trajectory Prediction for Autonomous Driving Using A Data-Driven Integrated Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, Vulnerable Road User (VRU) trajectory prediction for autonomous driving based on the Intention-Attention-Gate Recurrent Unit (IA-GRU), Improved Social Force Model … |
Hao Chen; Yinhua Liu; Chuanping Hu; Xi Zhang; | IEEE Transactions on Intelligent Transportation Systems | 2023-07-01 |
| 833 | On Connected Autonomous Vehicles With Unknown Human Driven Vehicles Effects Using Transmissibility Operators Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This study proposes an algorithm for fault detection and mitigation of mixed autonomous and human-driven vehicle platoons based on transmissibility identification. This work is … |
A. Khalil; Khaled F. Aljanaideh; M. A. Janaideh; | IEEE Transactions on Automation Science and Engineering | 2023-07-01 |
| 834 | Overcoming Occlusions: Perception Task-Oriented Information Sharing in Connected and Autonomous Vehicles IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the potential of reshaping the future of mobility, connected and autonomous vehicles (CAVs) offer a potential opportunity to transform the world with significant social, … |
ZHU XIAO et. al. | IEEE Network | 2023-07-01 |
| 835 | A Framework for Autonomous Vehicle Testing Using Semantic Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of big data and artificial intelligence, autonomous vehicles (AV) have achieved great success in diverse application domains. Although the current … |
Yejun He; Muslim Razi; J. Gao; Chuanqi Tao; | 2023 IEEE International Conference On Artificial … | 2023-07-01 |
| 836 | End-to-end Autonomous Driving: Challenges and Frontiers IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this survey, we provide a comprehensive analysis of more than 270 papers, covering the motivation, roadmap, methodology, challenges, and future trends in end-to-end autonomous driving. |
LI CHEN et. al. | arxiv-cs.RO | 2023-06-29 |
| 837 | A Survey on Datasets for Decision-making of Autonomous Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The datasets to be used in developing data-driven methods dramatically influences the performance of decision-making, hence it is necessary to have a comprehensive insight into the existing datasets. |
Yuning Wang; Zeyu Han; Yining Xing; Shaobing Xu; Jianqiang Wang; | arxiv-cs.RO | 2023-06-29 |
| 838 | Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes an optimization-based Communication Resource Constrained Hierarchical Federated Learning (CRCHFL) framework to minimize the generalization error of the autonomous driving model using hybrid data and model aggregation. |
WEI-BIN KOU et. al. | arxiv-cs.RO | 2023-06-28 |
| 839 | Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose an action and trajectory planner using Hierarchical Reinforcement Learning (atHRL) method, which models the agent behavior in a hierarchical model by using the perception of the lidar and birdeye view. |
Xinyang Lu; Flint Xiaofeng Fan; Tianying Wang; | arxiv-cs.RO | 2023-06-28 |
| 840 | Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a principled framework that provides a coherent and systematic understanding of the impact an error in the perception module imposes on an autonomous agent’s planning that actually controls the vehicle. |
Weixin Li; Xiaodong Yang; | icml | 2023-06-27 |
| 841 | EVENT: Real-time Video Feed Anomaly Detection for Enhanced Security in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous Vehicles have long leveraged Artilicial Intelligence to be capable of self-driving without the need for a human supervisor. To achieve self-driving autonomy, various … |
GEORGIOS AIVATOGLOU et. al. | 2023 31st Mediterranean Conference on Control and … | 2023-06-26 |
| 842 | What Truly Matters in Trajectory Prediction for Autonomous Driving? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In fixed datasets, since other vehicles’ responses are predetermined, this interaction effect is lost, leading to a significant dynamics gap. This paper studies the overlooked significance of this dynamics gap. |
PHONG TRAN et. al. | arxiv-cs.RO | 2023-06-26 |
| 843 | Deep Transfer Learning for Intelligent Vehicle Perception: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper discusses the domain gaps related to the differences of sensor, data, and model for the intelligent vehicle perception. |
XINYU LIU et. al. | arxiv-cs.CV | 2023-06-26 |
| 844 | READ: Large-Scale Neural Scene Rendering for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, a large-scale neural rendering method is proposed to synthesize the autonomous driving scene~(READ), which makes it possible to generate large-scale driving scenes in real time on a PC through a variety of sampling schemes. |
Zhuopeng Li; Lu Li; Jianke Zhu; | aaai | 2023-06-26 |
| 845 | Overview Analysis of Recent Developments on Self-Driving Electric Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper provides a comprehensive overview of recent advancements in autonomous electric vehicles (AEVs) within the specified region. |
Qasim Ajao; Lanre Gbenga Sadeeq; | arxiv-cs.RO | 2023-06-23 |
| 846 | Overview Analysis of Recent Developments on Self-Driving Electric Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper provides a comprehensive overview of recent advancements in autonomous electric vehicles (AEVs) within the specified region. It elaborates on the progress and … |
Qasim Masud Ajao; Lanre Sadeeq; | ArXiv | 2023-06-23 |
| 847 | Collision Avoidance Detour for Multi-Agent Trajectory Forecasting Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present our approach, Collision Avoidance Detour (CAD), which won the 3rd place award in the 2023 Waymo Open Dataset Challenge – Sim Agents, held at the 2023 CVPR Workshop on … |
Hsu-kuang Chiu; Stephen F. Smith; | ArXiv | 2023-06-20 |
| 848 | Deep Reinforcement Learning Edge Workload Orchestrator for Vehicular Edge Computing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Smart vehicles in Vehicular Edge Computing Environments run latency sensitive applications, such as driver assistance, autonomous driving, accident prevention and others that … |
Eliana Neuza Silva; Fernando Mira da Silva; | 2023 IEEE 9th International Conference on Network … | 2023-06-19 |
| 849 | Improving Vehicle Localization with Lane Marking Detection Based on Visual Perception and Geographic Information Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With recent advance of deep learning techniques, the development of intelligent vehicles is constantly moving towards fully autonomous driving. Many essential functions of … |
Jun-Yi Li; H. Lin; | 2023 IEEE 32nd International Symposium on Industrial … | 2023-06-19 |
| 850 | Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While the field of reinforcement learning (RL) has evolved into a powerful learning framework to the development of deep representation learning, and it is now capable of learning complicated policies in high-dimensional environments like in autonomous vehicles. In this regard, we make an effort, using Deep Q-Learning, to discover a method by which an autonomous car may maintain its lane at top speed while avoiding other vehicles. |
Jumman Hossain; | arxiv-cs.RO | 2023-06-19 |
| 851 | Robust LiDAR-Based Vehicle Detection for On-Road Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The stable detection and tracking of high-speed vehicles on the road by using LiDAR can input accurate information for the decision-making module and improve the driving safety of … |
XIANJIAN JIN et. al. | Remote. Sens. | 2023-06-17 |
| 852 | Driver Model for Take-Over-Request in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work presents a driver model for Take-Over-Request (TOR) in autonomous vehicles (AVs) that considers the driver’s mental state and response time during the transition from … |
Ankica Barisic; Pierre Sigrist; Sylvain Oliver; Aurélien Sciarra; M. Winckler; | Adjunct Proceedings of the 31st ACM Conference on User … | 2023-06-16 |
| 853 | Motion Comfort Optimization for Autonomous Vehicles: Concepts, Methods, and Techniques Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: At the same time, this article introduces the technology related to the structure of automatic driving and the reaction time of automatic driving. |
MOHAMMED ALEDHARI et. al. | arxiv-cs.RO | 2023-06-15 |
| 854 | One-Shot Learning of Visual Path Navigation for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel deep neural network that performs image-to-steering path navigation that helps with the data problem by adding one-shot learning to the system. |
ZHONGYING CUIZHU et. al. | arxiv-cs.CV | 2023-06-15 |
| 855 | Assessing Driver Engagement Through Machine Learning Classification of Physiological Measures Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The assessment to determine if drivers are engaged and supervising autonomous and semi-autonomous vehicles (AV) is becoming an increasingly important task. AVs are becoming more … |
A. LOCHBIHLER et. al. | 2023 IEEE International Symposium on Medical Measurements … | 2023-06-14 |
| 856 | Sim-on-Wheels: Physical World in The Loop Simulation for Self-Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Sim-on-Wheels, a safe, realistic, and vehicle-in-loop framework to test autonomous vehicles’ performance in the real world under safety-critical scenarios. |
YUAN SHEN et. al. | arxiv-cs.RO | 2023-06-14 |
| 857 | CarAware: A Deep Reinforcement Learning Platform for Multiple Autonomous Vehicles Based on CARLA Simulation Framework Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To facilitate studies in Deep Reinforcement Learning (DRL) and autonomous vehicles, we present the CarAware framework1 for detailed multi-agent vehicle simulations, which works … |
Túlio Oliveira Araújo; M. Netto; João Francisco Justo; | 2023 8th International Conference on Models and … | 2023-06-14 |
| 858 | Baby, I Can’t Drive My Car: How Controllability Mediates The Relationship Between Personality and The Acceptance of Autonomous Vehicles? Related Papers Related Patents Related Grants Related Venues Related Experts View |
Y. Sela; Yair Amichai-Hamburger; | Int. J. Hum. Comput. Interact. | 2023-06-13 |
| 859 | End-to-end Autonomous Driving in Heterogeneous Traffic Scenario Using Deep Reinforcement Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose an end-to-end autonomous driving architecture for safe maneuvering in heterogeneous traffic using a reinforcement learning (RL) algorithm. Using the … |
Soumyajit Chakraborty; Subhadeep Kumar; Nirav P. Bhatt; R. Pasumarthy; | 2023 European Control Conference (ECC) | 2023-06-13 |
| 860 | Potential Field-based Path Planning with Interactive Speed Optimization for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current PF methods used in AVs focus solely on the path generation of the ego vehicle while assuming that the surrounding obstacle vehicles drive at a preset behavior without the PF-based path planner, which ignores the fact that the ego vehicle’s PF could also impact the path generation of the obstacle vehicles. To tackle this problem, we propose a PF-based path planning approach where local paths are shared among ego and obstacle vehicles via vehicle-to-vehicle (V2V) communication. |
Pengfei Lin; Ehsan Javanmardi; Jin Nakazato; Manabu Tsukada; | arxiv-cs.RO | 2023-06-12 |
| 861 | Time-to-Collision-Aware Lane-Change Strategy Based on Potential Field and Cubic Polynomial for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the LC trajectory planned by the PF method is usually lengthy and takes the ego vehicle laterally parallel and close to the obstacle vehicle, which creates a dangerous situation if the obstacle vehicle suddenly steers. To mitigate this risk, we propose a time-to-collision-aware LC (TTCA-LC) strategy based on the PF and cubic polynomial in which the TTC constraint is imposed in the optimized curve fitting. |
PENGFEI LIN et. al. | arxiv-cs.RO | 2023-06-12 |
| 862 | Occlusion-aware Risk Assessment and Driving Strategy for Autonomous Vehicles Using Simplified Reachability Quantification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an efficient occlusion-aware risk assessment method using simplified reachability quantification that quantifies the reachability of phantom agents with a simple distribution model on phantom agents’ state. |
Hyunwoo Park; Jongseo Choi; Hyuntai Chin; Sang-Hyun Lee; Doosan Baek; | arxiv-cs.RO | 2023-06-12 |
| 863 | Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a principled framework that provides a coherent and systematic understanding of the impact an error in the perception module imposes on an autonomous agent’s planning that actually controls the vehicle. |
Wei-Xin Li; Xiaodong Yang; | arxiv-cs.CV | 2023-06-12 |
| 864 | Securing New Autonomous Truck-Trailer Communication Protocols Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous truck-trailer communication requires high bandwidth and low latency when sensors are added to trailer to increase the capabilities of the self-driving software in the … |
Ahmed Elhadeedy; J. Daily; | 2023 IEEE World AI IoT Congress (AIIoT) | 2023-06-07 |
| 865 | Open HD Map Service Model: An Interoperable High-Definition Map Data Model for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the growth in the vehicle industry, autonomous driving has become a hot topic worldwide and has attracted increasing attention from both industrial and academic sectors. … |
Fengyuan Zhang; Wenzhong Shi; Min Chen; Wei Huang; Xintao Liu; | International Journal of Digital Earth | 2023-06-06 |
| 866 | Vehicle Dynamics Modeling for Autonomous Racing Using Gaussian Processes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the most detailed analysis of the applicability of GP models for approximating vehicle dynamics for autonomous racing. |
Jingyun Ning; Madhur Behl; | arxiv-cs.RO | 2023-06-06 |
| 867 | A Robust Hybrid Observer for Side-slip Angle Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a novel approach that combines model-based side-slip angle estimation with neural networks. |
Agapius Bou Ghosn; Marcus Nolte; Philip Polack; Arnaud de La Fortelle; | arxiv-cs.RO | 2023-06-06 |
| 868 | AutoExp: A Multidisciplinary, Multi-Sensor Framework to Evaluate Human Activities in Self-Driving Cars Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The adoption of self-driving cars (SDC) will certainly revolutionize our lives, even though they may take more time to become fully autonomous than initially predicted. The first … |
C. CRISPIM et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-06-05 |
| 869 | Bridging The Domain Gap Between Synthetic and Real-World Data for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper highlights our efforts to quantify and address the domain gap between synthetic and real-world data for autonomy simulation. |
XIANGYU BAI et. al. | arxiv-cs.RO | 2023-06-05 |
| 870 | Active Excitations for Maximum Friction Coefficient Estimation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For optimizing advanced driver assistance systems (ADAS) and implementing autonomous driving, knowledge of vehicle dynamics and the perception of the vehicle’s environment is … |
Nicolas Lampe; Karl-Philipp Kortmann; C. Westerkamp; Hans-Georg Jacob; | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 871 | Cross Dataset Analysis and Network Architecture Repair for Autonomous Car Lane Detection* Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Transfer Learning has become one of the standard methods to solve problems to overcome the isolated learning paradigm by utilizing knowledge acquired for one task to solve another … |
Parth Ganeriwala; S. Bhattacharyya; R. Muthalagu; | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 872 | Model Predictive Control for Autonomous Vehicle Following Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we present a model predictive control (MPC) approach for the control of an autonomous vehicle following a lead vehicle tracked by onboard sensors. Based on the lead … |
Alexander Bienemann; Hans-Joachim Wuensche; | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 873 | Learn-able Evolution Convolutional Siamese Neural Network for Adaptive Driving Style Preference Prediction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a framework for detecting user driving style preference with multimodal signals, to adapt autonomous vehicle driving style to drivers’ preferences in an automatic … |
Fatemeh Koochaki; Z. Zheng; K. Akash; Teruhisa Misu; | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 874 | How Fast Is My Software? Latency Evaluation for A ROS 2 Autonomous Driving Software Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Violations of real-time properties and high latencies have emerged as crucial issues in autonomous vehicles since they can lead to unwanted vehicle behavior and critical … |
Tobias Betz; Maximilian Schmeller; Harun Teper; Johannes Betz; | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 875 | Development and Validation of An Open Architecture for Autonomous Vehicle Control Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Teams dedicated to research in the field of autonomous vehicles can be found in many universities and research centers, but they often face the challenge of finding a suitable … |
Alfredo Valle Barrio; Walter Morales-Alvarez; Cristina Olaverri-Monreal; José Eugenio Naranjo Hernandez; | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 876 | Scenario-Based Decision-Making, Planning and Control for Interaction-Aware Autonomous Driving on Highways Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes an architecture for integrated decision-making, motion planning, and control in autonomous highway driving. The approach anticipates, to some degree, … |
Robin Kensbock; Maryam Nezami; Georg Schildbach; | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 877 | Assessing Safe Autonomous Vehicle Behavior Via Large Scale Traffic Simulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We study the problem of assessing and ranking the behavior of an autonomous vehicle using large scale traffic simulations with an emphasis on safety. We discuss a methodology to … |
Pradeep Sharma Oruganti; Eeshan Deosthale; Cristhian Guillermo Lizarazo Jiménez; | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 878 | Discrete-time Robust PD Controlled System with DOB/CDOB Compensation for High Speed Autonomous Vehicle Path Following Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, direct discrete time design is carried out. |
Haoan Wang; Levent Guvenc; | arxiv-cs.RO | 2023-06-02 |
| 879 | Pre-Deployment Testing of Low Speed, Urban Road Autonomous Driving in A Simulated Environment IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The Linden residential area AV shuttle deployment site of Smart Columbus is used as the specific example for illustrating the AV testing method proposed in this paper. |
Xinchen Li; Aravind Chandradoss Arul Doss; Bilin Aksun Guvenc; Levent Guvenc; | arxiv-cs.RO | 2023-06-01 |
| 880 | Autonomous Vehicle’s Impact on Traffic: Empirical Evidence From Waymo Open Dataset and Implications From Modelling IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Previous empirical behavior analysis on Autonomous Vehicles (AV) mainly focused on vehicles with Adaptive Cruise Control (ACC) system due to the lack of high-level AV dataset. … |
Xiangwang Hu; Zuduo Zheng; Danjue Chen; Jian Sun; | IEEE Transactions on Intelligent Transportation Systems | 2023-06-01 |
| 881 | Practical In-Vehicle Security Architecture Based on Trust Anchors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The growth of connected cars driven by mobile technology and autonomous driving is explosive recently. As more cars are connected to the Internet; more cybersecurity threats are … |
Jiyong Han; Aram Cho; | 2023 IEEE 97th Vehicular Technology Conference … | 2023-06-01 |
| 882 | Predicut – A Machine Learning Model For Online Prediction of Cut-In Manoeuvre For Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When a vehicle changes lane abruptly resulting in low headway distance to the vehicle behind it, it may trigger emergency braking or it may result in a collision. Such events are … |
Pandeeswari Sankaranarayanan; A. Ramanujam; Sruthi Sathy; Rajesh Jayaprakash; | 2023 IEEE 97th Vehicular Technology Conference … | 2023-06-01 |
| 883 | CarFASE: A Carla-based Tool for Evaluating The Effects of Faults and Attacks on Autonomous Driving Stacks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents CarFASE, an open-source carla-based fault and attack simulation engine that is used to test and evaluate the behavior of autonomous driving stacks in the … |
Mehdi Maleki; Ashfaq Farooqui; B. Sangchoolie; | 2023 53rd Annual IEEE/IFIP International Conference on … | 2023-06-01 |
| 884 | AutowareV2X: Reliable V2X Communication and Collective Perception for Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For cooperative intelligent transport systems (C-ITS), vehicle-to-everything (V2X) communication is utilized to allow autonomous vehicles to share critical information with each … |
Yu Asabe; E. Javanmardi; Jin Nakazato; Manabu Tsukada; H. Esaki; | 2023 IEEE 97th Vehicular Technology Conference … | 2023-06-01 |
| 885 | Hierarchical Cooperation and Load Balancing for Scalable Autonomous Vehicle Routing in Multi-Access Edge Computing Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When Connected Autonomous Vehicles (CAVs) request routing in a driving environment with Autonomous Intersection Management (AIM) systems, a routing planner collects the demands … |
Ieee Charles -C. Wang Graduate Student Member; Ieee H.-P. Wen Member; Ieee H. Jonathan Chao Fellow; .-P. Wen; | IEEE Transactions on Vehicular Technology | 2023-06-01 |
| 886 | Experimental Trials on Sidelink Multi-hop Communications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cellular vehicle-to-everything (C-V2X) is an emerging technology to realize autonomous driving and Mobility as a Service (MaaS). In C-V2X communications, direct device-to-device … |
Manabu Sakai; Kazuma Obigane; H. Nishimoto; A. Okazaki; M. Noda; | 2023 IEEE 97th Vehicular Technology Conference … | 2023-06-01 |
| 887 | Cybersecurity Engineering: Bridging The Security Gaps in Advanced Automotive Systems and ISO/SAE 21434 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advanced Driver Assistance System is one of the enabling technologies for autonomous driving. It senses and analyses the vehicle surroundings, detects the presence of potential … |
F. SIDDIQUI et. al. | 2023 IEEE 97th Vehicular Technology Conference … | 2023-06-01 |
| 888 | Live Virtual Constructive Environment for Assuring The Safety and Security of Complex Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous and connected vehicle technologies are rapidly emerging and being introduced to society. Traditional vehicles are becoming more sophisticated with integrated … |
BRADLEY POTTEIGER et. al. | 2023 IEEE International Conference on Assured Autonomy … | 2023-06-01 |
| 889 | A ROS-Based Autonomous Vehicle Testbed for The Internet of Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper describes the design and implementation procedure of a Robot Operating System (ROS) testbed for research on the concept of Internet of Vehicles and the integration of … |
Nikolaos Sarantinoudis; George J. Tsinarakis; L. Doitsidis; S. Chatzichristofis; G. Arampatzis; | 2023 19th International Conference on Distributed Computing … | 2023-06-01 |
| 890 | SOTIF-Oriented Perception Evaluation Method for Forward Obstacle Detection of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The inclusion of autonomous vehicles into our society requires not only mature automated technologies but also adequate confidence in safety guarantees. Safety of the intended … |
Jiayun Chu; T. Zhao; J. Jiao; Yuan Yuan; Yongfeng Jing; | IEEE Systems Journal | 2023-06-01 |
| 891 | When Graphs Meet Game Theory: A Scalable Approach for Robotic Car Racing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicle racing is facing a growing interest both in industrial and academic settings spanning multiple disciplines. In this paper, we will explore how to create a … |
Ahmet Tikna; M. Roveri; D. Fontanelli; L. Palopoli; | 2023 IEEE 47th Annual Computers, Software, and Applications … | 2023-06-01 |
| 892 | Vehicle 5.0: From Driverless Vehicles for ITS in CPS to MetaDriving for Smart Mobility in CPSS Related Papers Related Patents Related Grants Related Venues Related Experts View |
Fei-Yue Wang; | IEEE Trans. Intell. Veh. | 2023-06-01 |
| 893 | CIPF: Crossing Intention Prediction Network Based on Feature Fusion Modules for Improving Pedestrian Safety IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the development of autonomous driving technology continues, pedestrian safety is becoming an increasingly important issue. The ability of an autonomous car to accurately … |
Je-Seok Ham; Dae Hoe Kim; NamKyo Jung; Jinyoung Moon; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 894 | A Comprehensive Study on Lane Detecting Autonomous Car Using Computer Vision IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Henil Gajjar; Stavan Sanyal; Manan Shah; | Expert Syst. Appl. | 2023-06-01 |
| 895 | A Robust Triangular Sigmoid Pattern-Based Obstacle Detection Algorithm in Resource-Limited Devices Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object detection and classification are key processes in advanced driver-assistance systems. The existing object detection and classification methods are effective in normal … |
V. D. Nguyen; Thong Duc Trinh; Hoang Ngoc Tran; | IEEE Transactions on Intelligent Transportation Systems | 2023-06-01 |
| 896 | RSU-assisted Proactive Perception and Edge Computing for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, autonomous driving is one of promising technologies in Internet of Vehicles. However, traditional environment sensing technologies via vehicle-mounted sensors are unable … |
KE SHI et. al. | 2023 IEEE International Conference on Metaverse Computing, … | 2023-06-01 |
| 897 | Inferring Human Driver Intent in Partial Deployment of Connected Autonomous Vehicles: The Lane Change Case Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Co-existence between autonomous vehicles (AVs) and human-driven vehicles expected in the next few decades poses a problem for AVs to infer human drivers’ intents nearby and cope … |
Jonghwan Na; Hojeong Lee; Hyogon Kim; | 2023 IEEE 97th Vehicular Technology Conference … | 2023-06-01 |
| 898 | Simutack – An Attack Simulation Framework for Connected and Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the ongoing efforts toward autonomous driving, modern vehicles become increasingly digital and smart. Hence, the vehicle architecture including smart sensors, ECUs, and … |
Andreas Finkenzeller; Anshu Mathur; Jan Lauinger; Mohammad Hamad; S. Steinhorst; | 2023 IEEE 97th Vehicular Technology Conference … | 2023-06-01 |
| 899 | Wireless Distributed Consensus in Vehicle to Vehicle Networks for Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vital societal and industrial autonomous components are increasingly interconnected through communication networks to complete critical tasks cooperatively. However, as the … |
Chengli Feng; Zhangchen Xu; Xincheng Zhu; P. V. Klaine; Lei Zhang; | IEEE Transactions on Vehicular Technology | 2023-06-01 |
| 900 | Customized Co-Simulation Environment for Autonomous Driving Algorithm Development and Evaluation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The results of this work will be a valuable resource for researchers who need a comprehensive co-simulation environment to develop connected and autonomous driving algorithms. |
Mustafa Ridvan Cantas; Levent Guvenc; | arxiv-cs.RO | 2023-05-31 |
| 901 | TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, separate extraction leads to a complicated model structure and hence the overall efficiency and scalability are sacrificed. To address the above issues, we propose an environment representation, Temporal Occupancy Flow Graph (TOFG). |
Zihao Wen; Yifan Zhang; Xinhong Chen; Jianping Wang; | arxiv-cs.RO | 2023-05-31 |
| 902 | Analysis of The Potential of Onboard Vehicle Sensors for Model-based Maximum Friction Coefficient Estimation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advanced driver assistance systems (ADAS) have led to a steady improvement in driving comfort and safety. Knowledge of vehicle dynamics and perception of the vehicle’s environment … |
Nicolas Lampe; Zygimantas Ziaukas; C. Westerkamp; Hans-Georg Jacob; | 2023 American Control Conference (ACC) | 2023-05-31 |
| 903 | On XYZ-Motion Planning for Autonomous Vehicles with Active Suspension Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper addresses the xyz-motion planning problem for autonomous vehicles equipped with active suspension systems. A generic nonlinear optimization problem based on a 3D … |
Yu Jiang; W. Graves; Marco Giovanardi; Zack Anderson; | 2023 American Control Conference (ACC) | 2023-05-31 |
| 904 | Efficient Learning of Urban Driving Policies Using Bird’s-Eye-View State Representations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we study the challenges of constructing bird’s-eye-view representations for autonomous driving and propose a recurrent learning architecture for long-horizon driving. |
Raphael Trumpp; Martin Büchner; Abhinav Valada; Marco Caccamo; | arxiv-cs.RO | 2023-05-31 |
| 905 | Efficient Learning of Urban Driving Policies Using Bird’View State Representations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving involves complex decision-making in highly interactive environments, requiring thoughtful negotiation with other traffic participants. While reinforcement … |
R. Trumpp; M. Büchner; A. Valada; M. Caccamo; | 2023 IEEE 26th International Conference on Intelligent … | 2023-05-31 |
| 906 | Simulation Based Methodology for Assessing Forced Merging Strategies for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A simulation environment for assessing the forced merging strategies for autonomous vehicles (AV) is described. Such forced merging strategies need to explicitly account for … |
Chun-Wei Kong; Kaiwen Liu; H. E. Tseng; I. Kolmanovsky; A. Girard; | 2023 American Control Conference (ACC) | 2023-05-31 |
| 907 | CHAMP: Integrated Logic with Reinforcement Learning for Hybrid Decision Making for Autonomous Vehicle Planning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A Cognitive Hybrid Autonomous Motion Planner (CHAMP) is developed for autonomous driving applications in challenging driving scenarios. The proposed hybrid planner unifies a … |
Rouhollah Jafari; Alireza Esna Ashari; Marcus J. Huber; | 2023 American Control Conference (ACC) | 2023-05-31 |
| 908 | Data and Knowledge for Overtaking Scenarios in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite the amount of work available in the literature, just a few handle overtaking maneuvers and, because overtaking can be risky, no real-world dataset is available. This work contributes in this area by presenting a new synthetic dataset whose focus is the overtaking maneuver. |
Mariana Pinto; Inês Dutra; Joaquim Fonseca; | arxiv-cs.RO | 2023-05-30 |
| 909 | Assessing The Criticality of Longitudinal Driving Scenarios Using Time Series Data Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unfortunately, many people die in car accidents. To reduce these accidents, cars are equipped with driving safety systems. With autonomous vehicles, the driver’s behavior becomes … |
Nico Schick; | ArXiv | 2023-05-29 |
| 910 | DriveIRL: Drive in Real Life with Inverse Reinforcement Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we introduce the first published planner to drive a car in dense, urban traffic using Inverse Reinforcement Learning (IRL). Our planner, DriveIRL, generates a … |
TUNG PHAN-MINH et. al. | 2023 IEEE International Conference on Robotics and … | 2023-05-29 |
| 911 | Selective Communication for Cooperative Perception in End-to-End Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although simple and cost effective from a communication perspective, this selection approach suffers from its susceptibility to missing those vehicles that possess the perception information most critical to navigation planning. Inspired by recent multi-agent path finding research, we propose a novel selective communication algorithm for cooperative perception to address this shortcoming. |
Hsu-kuang Chiu; Stephen F. Smith; | arxiv-cs.RO | 2023-05-26 |
| 912 | CUEING: A Lightweight Model to Capture HUman AttEntion In DriviNG Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel adaptive cleansing technique for purging noise from existing gaze datasets, coupled with a robust, lightweight convolutional self-attention gaze prediction model. |
LINFENG LIANG et. al. | arxiv-cs.CV | 2023-05-25 |
| 913 | Multitasking While Driving: How Drivers Self-Regulate Their Interaction with In-Vehicle Touchscreens in Automated Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, little is known about how driving automation affects how drivers interact with the center stack touchscreen, i.e., how drivers self-regulate their behavior in response to different levels of driving automation. To investigate this, we apply multilevel models to a real-world driving dataset consisting of 31,378 sequences. |
Patrick Ebel; Christoph Lingenfelder; Andreas Vogelsang; | arxiv-cs.HC | 2023-05-25 |
| 914 | Vehicle-in-Virtual-Environment (VVE) Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is an unsafe, costly and inefficient method. Motivated by these shortcomings, this paper introduces the Vehicle-in-Virtual-Environment (VVE) method of safe, efficient and low cost connected and autonomous driving function development, evaluation and demonstration. |
Xincheng Cao; Haochong Chen; Sukru Yaren Gelbal; Bilin Aksun-Guvenc; Levent Guvenc; | arxiv-cs.RO | 2023-05-24 |
| 915 | KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this direction, many works have explored physics-infused neural network (PINN) architectures to infuse physics models during training. Inspired by this observation, we present a Kalman filter augmented recurrent neural network architecture to learn the latent representation of the traffic flow using front camera images only. |
Hemanth Manjunatha; Andrey Pak; Dimitar Filev; Panagiotis Tsiotras; | arxiv-cs.LG | 2023-05-23 |
| 916 | Learning Pedestrian Actions to Ensure Safe Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, the literature gaps are investigated and a taxonomy is presented for pedestrian behavior characterization. |
Jia Huang; Alvika Gautam; Srikanth Saripalli; | arxiv-cs.RO | 2023-05-22 |
| 917 | On Learning The Tail Quantiles of Driving Behavior Distributions Via Quantile Regression and Flows Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Towards safe autonomous driving (AD), we consider the problem of learning models that accurately capture the diversity and tail quantiles of human driver behavior probability distributions, in interaction with an AD vehicle. |
Jia Yu Tee; Oliver De Candido; Wolfgang Utschick; Philipp Geiger; | arxiv-cs.LG | 2023-05-22 |
| 918 | A LiDAR-assisted Smart Car-following Framework for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we investigate an innovative car-following framework where a self-driving vehicle, identified as the follower, autonomously follows another leading vehicle. We … |
Xianyong Yi; Hakim Ghazzai; Y. Massoud; | 2023 IEEE International Symposium on Circuits and Systems … | 2023-05-21 |
| 919 | Vision-based DRL Autonomous Driving Agent with Sim2Real Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, previous studies have mainly focused on individual tasks, and car following tasks have typically relied on complete leader-follower information to attain optimal performance. To address this limitation, we propose a vision-based deep reinforcement learning (DRL) agent that can simultaneously perform lane keeping and car following maneuvers. |
Dianzhao Li; Ostap Okhrin; | arxiv-cs.RO | 2023-05-19 |
| 920 | MR-IDM – Merge Reactive Intelligent Driver Model: Towards Enhancing Laterally Aware Car-following Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper discusses the limitations of existing microscopic traffic models in accounting for the potential impacts of on-ramp vehicles on the car-following behavior of main-lane … |
DUSTIN HOLLEY et. al. | 2023 IEEE 26th International Conference on Intelligent … | 2023-05-19 |
| 921 | Planning-Oriented Autonomous Driving IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Unified Autonomous Driving (UniAD), a comprehensive framework up-to-date that incorporates full-stack driving tasks in one network. |
YIHAN HU et. al. | cvpr | 2023-05-17 |
| 922 | V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To facilitate the development of cooperative perception, we present V2V4Real, the first large-scale real-world multi-modal dataset for V2V perception. |
RUNSHENG XU et. al. | cvpr | 2023-05-17 |
| 923 | Rethinking The Open-Loop Evaluation of End-to-End Autonomous Driving in NuScenes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Most existing works evaluate their performance on the nuScenes dataset using the L2 error and collision rate between the predicted trajectories and the ground truth. In this paper, we reevaluate these existing evaluation metrics and explore whether they accurately measure the superiority of different methods. |
JIANG-TIAN ZHAI et. al. | arxiv-cs.CV | 2023-05-17 |
| 924 | AUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Herein, we describe our recently-redesigned traffic light perception system for autonomous vehicles like the University of Toronto’s self-driving car, Artemis. |
Sean Wu; Nicole Amenta; Jiachen Zhou; Sandro Papais; Jonathan Kelly; | arxiv-cs.CV | 2023-05-15 |
| 925 | Two Is Better Than One: Digital Siblings to Improve Autonomous Driving Testing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we enhance simulation-based testing by introducing the notion of digital siblings, a multi-simulator approach that tests a given autonomous vehicle on multiple general-purpose simulators built with different technologies, that operate collectively as an ensemble in the testing process. |
Matteo Biagiola; Andrea Stocco; Vincenzo Riccio; Paolo Tonella; | arxiv-cs.SE | 2023-05-14 |
| 926 | A Deep Learning-Based Approach for Vehicle Motion Prediction in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The prediction of a safe collision-free trajectory is probably the most important factor preventing the full adoption of autonomous vehicles in a public road. Despite recent … |
Shahrbanoo Rezaei; Jeremiah Gbadegoye; Neda Masoud; Anahita Khojandi; | 2023 International Conference on Control, Automation and … | 2023-05-10 |
| 927 | Poster Abstract: Safety Guaranteed Preference Learning Approach for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this work, we propose a safety-guaranteed personalization for autonomous vehicles by incorporating Signal Temporal Logic (STL) into preference learning problem. We propose a … |
Ruya Karagulle; N. Aréchiga; A. Best; Jonathan DeCastro; N. Ozay; | Proceedings of the 26th ACM International Conference on … | 2023-05-09 |
| 928 | Experimental Validation of Safe MPC for Autonomous Driving in Uncertain Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a framework based on Model Predictive Control (MPC) that endows the self-driving vehicle with the necessary safety guarantees. |
Ivo Batkovic; Ankit Gupta; Mario Zanon; Paolo Falcone; | arxiv-cs.RO | 2023-05-05 |
| 929 | Research and Evaluation on Comprehensive Obstacle-avoiding Behavior for Unmanned Vehicles Based on The Interval Neutrosophic Number Multiple Attribute Group Decision Making Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advent of the information age, the development direction of automobiles has gradually changed, both from the domestic and foreign policy support attitude, or from the … |
Feng Li; | J. Intell. Fuzzy Syst. | 2023-05-03 |
| 930 | A Multi-step Dynamics Modeling Framework For Autonomous Driving In Multiple Environments IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a framework for multistep dynamics prediction that explicitly handles the accumulation of modeling error and remains scalable for sampling-based controllers. |
JASON GIBSON et. al. | arxiv-cs.RO | 2023-05-03 |
| 931 | How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider the solutions through the sim2real, DTs, and PI technologies, and review important applications and innovations in the field of autonomous driving. |
XUEMIN HU et. al. | arxiv-cs.RO | 2023-05-02 |
| 932 | How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Developing autonomous driving technologies necessitates addressing safety and cost concerns. Both academic research and commercial applications of autonomous driving vehicles … |
XUEMIN HU et. al. | IEEE Transactions on Intelligent Vehicles | 2023-05-02 |
| 933 | Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the area of autonomous driving, it typically brings great difficulty in solving the motion planning problem since the vehicle model is nonlinear and the driving scenarios are … |
ZIYU LIN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2023-05-01 |
| 934 | Fast Tube Model Predictive Control for Driverless Cars Using Linear Data-Driven Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Model predictive control (MPC) has been widely applied to different aspects of autonomous driving, typically using nonlinear physically derived models for prediction. However, … |
Bernardo A. Hernandez Vicente; P. Trodden; S. Anderson; | IEEE Transactions on Control Systems Technology | 2023-05-01 |
| 935 | Controllable Probability-limited and Learning-based Human-like Vehicle Behavior and Trajectory Generation for Autonomous Driving Testing in Highway Scenario Related Papers Related Patents Related Grants Related Venues Related Experts View |
Cheng Wei; Fei Hui; A. Khattak; Yutan Zhang; Wenbo Wang; | Expert Syst. Appl. | 2023-05-01 |
| 936 | From Formula One to Autonomous One: History, Achievements, and Future Perspectives Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This letter is the first report from a series of IEEE TIV’s Decentralized and Hybrid Workshops (DHWs) on Intelligent Vehicles for Education (IV4E). The role of intelligent … |
BAI LI et. al. | IEEE Transactions on Intelligent Vehicles | 2023-05-01 |
| 937 | Towards A Review on Simulated ADAS/AD Testing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle and traffic simulation is a common practice for testing and evaluating advanced driver-assistance systems (ADAS) and autonomous driving (AD). As a result, the literature … |
Yavuz Köroglu; F. Wotawa; | 2023 IEEE/ACM International Conference on Automation of … | 2023-05-01 |
| 938 | Edge Computing Task Offloading for Environmental Perception of Autonomous Vehicles in 6G Networks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The most basic requirement for autonomous vehicles is accurate environmental perception. However, the lack of onboard computing resources makes it difficult for such a vehicle to … |
PIN LV et. al. | IEEE Transactions on Network Science and Engineering | 2023-05-01 |
| 939 | UL 4600: What to Include in An Autonomous Vehicle Safety Case Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles (AVs) will not see widespread use until we can be sure that they are acceptably safe. That remains a big challenge, but robust support from safety standards … |
P. Koopman; | Computer | 2023-05-01 |
| 940 | Motion Sickness Prediction Based on Dry EEG in Real Driving Environment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Currently, the expectations for autonomous vehicles (AVs) are increasing. However, it is expected to take at least a decade to develop a fully AV, where human intervention is … |
Ji-Seon Bang; Dong-Ok Won; Tae-Eui Kam; Seong-Whan Lee; | IEEE Transactions on Intelligent Transportation Systems | 2023-05-01 |
| 941 | Abstract Entity Patterns for Sensors and Actuators Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Sensors and actuators are fundamental units in Cyber–Physical and Internet of Things systems. Because they are included in a variety of systems, using many technologies, it is … |
Bijayita Thapa; E. Fernández; I. Cardei; M. Larrondo-Petrie; | Comput. | 2023-04-30 |
| 942 | Federated Semi-Supervised Learning for Object Detection in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a unified semi-supervised and federated learning (FL) approach that is designed to offer cost efficient and practical training of deep learning object detection models for autonomous driving. |
F. Chi; Y. Wang; P. Nasiopoulos; V. C. M. Leung; M. T. Pourazad; | icassp | 2023-04-27 |
| 943 | SRPT Vs Smith Predictor for Vehicle Teleoperation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle teleoperation has potential applications in fallback solutions for autonomous vehicles, remote delivery services, and hazardous operations. However, network delays and … |
J. Prakash; M. Vignati; E. Sabbioni; | ArXiv | 2023-04-27 |
| 944 | An Evaluation Platform to Scope Performance of Synthetic Environments in Autonomous Ground Vehicles Simulation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we present our Scoping Autonomous Vehicle Simulation (SAVeS) platform for benchmarking the performance of simulated environments for autonomous ground vehicle testing 1. |
X. BAI et. al. | icassp | 2023-04-27 |
| 945 | Cooperative Five Degrees Of Freedom Motion Estimation For A Swarm Of Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel cooperative-based system that facilitates each autonomous vehicle of the swarm to be fully aware of its 5 degrees of freedom (DOF) motion, i.e., 3D translation and 2D rotation, a very important task for autonomous navigation, known also as simultaneous localization and mapping (SLAM). |
N. Piperigkos; A. S. Lalos; K. Berberidis; C. Anagnostopoulos; | icassp | 2023-04-27 |
| 946 | A Data Acquisition System to Capture Extreme Human Driving Behaviour Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Assessing and encoding human driving expertise while handling challenging events, primarily during drifts, can unveil new insights regarding the professional response to extreme … |
Inês Rito Lima; J. Santos-Victor; | 2023 IEEE International Conference on Autonomous Robot … | 2023-04-26 |
| 947 | SuperDriverAI: Towards Design and Implementation for End-to-End Learning-Based Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fully autonomous driving has been widely studied and is becoming increasingly feasible. However, such autonomous driving has yet to be achieved on public roads, because of various … |
SHUNSUKE AOKI et. al. | 2023 IEEE Vehicular Networking Conference (VNC) | 2023-04-26 |
| 948 | Lane Change Intention Recognition and Vehicle Status Prediction for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For LC vehicle status prediction issues, three multi-tasking learning models are constructed based on MTL framework. |
Renteng Yuan; Mohamed Abdel-Aty; Xin Gu; Ou Zheng; Qiaojun Xiang; | arxiv-cs.LG | 2023-04-25 |
| 949 | Vehicle As A Service (VaaS): Leverage Vehicles to Build Service Networks and Capabilities for Smart Cities IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: At the same time, it is widely recognized that vehicles such as autonomous cars, equipped with significantly powerful SCCSI capabilities, will become ubiquitous in future smart cities. By observing the convergence of these two trends, this article advocates the use of vehicles to build a cost-effective service network, called the Vehicle as a Service (VaaS) paradigm, where vehicles empowered with SCCSI capability form a web of mobile servers and communicators to provide SCCSI services in smart cities. |
XIANHAO CHEN et. al. | arxiv-cs.NI | 2023-04-22 |
| 950 | Stochastic MPC Based Attacks on Object Tracking in Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper deals with devising attacks on object tracking in automated vehicles. |
Sourav Sinha; Mazen Farhood; | arxiv-cs.RO | 2023-04-21 |
| 951 | 1001 Ways of Scenario Generation for Testing of Self-driving Cars: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This survey aims to give a systematic overview of different approaches, establish different categories of scenario acquisition and generation, and show that each group of methods has typical input and output types. |
Barbara Schütt; Joshua Ransiek; Thilo Braun; Eric Sax; | arxiv-cs.RO | 2023-04-21 |
| 952 | Design and Simulation-Based Optimization of An Intelligent Autonomous Cruise Control System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Significant progress has recently been made in transportation automation to alleviate human faults in traffic flow. Recent breakthroughs in artificial intelligence have provided … |
MILAD ANDALIBI et. al. | Comput. | 2023-04-20 |
| 953 | Yaw-Rate Controller Tuning for Autonomous Driving: Virtual Internal Model Tuning Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vehicle yaw-rate control is important for realizing autonomous driving. If the desired yaw-rate response is realized, good autonomous driving can be realized. The gain-scheduled … |
Motoya Suzuki; S. Yahagi; | J. Robotics Mechatronics | 2023-04-20 |
| 954 | A Lightweight CP‐ABE Scheme in The IEEEP1363 Standard with Key Tracing and Verification and Its Application on The Internet of Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automated vehicle applications are becoming more and more widespread, and the data security of the vehicle network involved is particularly important. Similar to traditional data, … |
Yang Zhao; Hao Li; Zhaozhong Liu; Guobin Zhu; | Transactions on Emerging Telecommunications Technologies | 2023-04-17 |
| 955 | Energy-Efficient Lane Changes Planning and Control for Connected Autonomous Vehicles on Urban Roads Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel energy-efficient motion planning algorithm for Connected Autonomous Vehicles (CAVs) on urban roads. |
Eunhyek Joa; Hotae Lee; Eric Yongkeun Choi; Francesco Borrelli; | arxiv-cs.RO | 2023-04-17 |
| 956 | Detector-Tracker Integration Framework for Autonomous Vehicles Pedestrian Tracking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Pedestrian tracking is an important aspect of autonomous vehicles environment perception in a vehicle running environment. The performance of the existing pedestrian tracking … |
HUANHUAN WANG et. al. | Remote. Sens. | 2023-04-15 |
| 957 | A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving services depends on active sensing from modules such as camera, LiDAR, radar, and communication units. Traditionally, these modules process the sensed data on … |
DEWANT KATARE et. al. | IEEE Communications Surveys & Tutorials | 2023-04-13 |
| 958 | FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a new dataset, the FollowMe dataset, which offers a motion and behavior prediction problem by answering the latter question of the driver’s ability to follow a lead vehicle. |
Abduallah Mohamed; Jundi Liu; Linda Ng Boyle; Christian Claudel; | arxiv-cs.RO | 2023-04-12 |
| 959 | Vehicle Trajectory Prediction Based Predictive Collision Risk Assessment for Autonomous Driving in Highway Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Aiming at autonomous driving in highway scenarios, a predictive collision risk assessment method based on trajectory prediction of OVs is proposed in this paper. |
Dejian Meng; Wei Xiao; Lijun Zhang; Zhuang Zhang; Zihao Liu; | arxiv-cs.RO | 2023-04-12 |
| 960 | Toward Resilient Autonomous Driving—An Experience Report on Integrating Resilience Mechanisms Into The Apollo Autonomous Driving Software Stack Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driver assistance systems (ADAS) have been progressively pushed to extremes. Today, increasingly sophisticated algorithms, such as deep neural networks, assume … |
Federico Lucchetti; R. Graczyk; M. Völp; | Frontiers of Computer Science | 2023-04-11 |
| 961 | DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View 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. | arxiv-cs.CV | 2023-04-03 |
| 962 | CV2X-LOCA: Roadside Unit-Enabled Cooperative Localization Framework for Autonomous Vehicles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate the potential of cellular-vehicle-to-everything (C-V2X) wireless communications in improving the localization performance of AVs under GNSS-denied environments. |
ZILIN HUANG et. al. | arxiv-cs.RO | 2023-04-02 |
| 963 | Path Planning and Obstacle Avoidance Control for Autonomous Multi-Axis Distributed Vehicle Based on Dynamic Constraints IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Obstacle avoidance problem for the autonomous vehicle has received more and more attention these years, especially for the autonomous heavy vehicle, which has the high gravity … |
Zhichao Li; Junqiu Li; Weichen Wang; | IEEE Transactions on Vehicular Technology | 2023-04-01 |
| 964 | Car-Following Behavior of Human-Driven Vehicles in Mixed-Flow Traffic: A Driving Simulator Study IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Connected and autonomous vehicles (CAVs) and human-driven vehicles (HDVs) will inevitably coexist on roads in the future, creating mixed-flow traffic. The heterogeneous … |
Anye Zhou; Yongyang Liu; Einat Tenenboim; Shubham Agrawal; S. Peeta; | IEEE Transactions on Intelligent Vehicles | 2023-04-01 |
| 965 | Narrowband Jamming Mitigation Based on Multi-Resolution Analysis for Land Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous and connected vehicles mainly rely on global navigation satellite systems (GNSS) for positioning and navigation, which is a key component for path planning and … |
H. Elghamrawy; A. Noureldin; | IEEE Transactions on Intelligent Vehicles | 2023-04-01 |
| 966 | Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A major role of automated vehicles is that vehicles serve as mobile sensors for event detection and data collection, which support tactical automation in autonomous driving and … |
RUIMIN KE et. al. | IEEE Transactions on Intelligent Vehicles | 2023-04-01 |
| 967 | Impact-aware Maneuver Decision with Enhanced Perception for Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving is an emerging technology that has developed rapidly over the last decade. There have been numerous interdisciplinary challenges imposed on the current … |
SHUNCHENG LIU et. al. | 2023 IEEE 39th International Conference on Data Engineering … | 2023-04-01 |
| 968 | The Effect of Vehicle Automation Styles on Drivers’ Emotional State IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Self-driving vehicles promise many safety, mobility, and environmental benefits. However, users’ lack of trust and acceptance may threaten the success and potential of this … |
Areen Alsaid; John D. Lee; Sofia I. Noejovich; Abdallah A. Chehade; | IEEE Transactions on Intelligent Transportation Systems | 2023-04-01 |
| 969 | Procedural Generation of Complex Roundabouts for Autonomous Vehicle Testing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on the geometric constraints of the nearby road structure, this work presents a novel method for procedurally building roundabouts. |
Zarif Ikram; Golam Md Muktadir; Jim Whitehead; | arxiv-cs.RO | 2023-03-31 |
| 970 | Decision Making for Autonomous Driving in Interactive Merge Scenarios Via Learning-based Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a decision making approach for autonomous driving, focusing on the complex task of merging into moving traffic where uncertainty emanates from the behavior of other drivers and imperfect sensor measurements. |
Salar Arbabi; Davide Tavernini; Saber Fallah; Richard Bowden; | arxiv-cs.RO | 2023-03-29 |
| 971 | Research on Multi-tasking Smart Cars Based on Autonomous Driving Systems Related Papers Related Patents Related Grants Related Venues Related Experts View |
Shukai Ding; Jian Qu; | SN Computer Science | 2023-03-28 |
| 972 | Can The Perception Data of Autonomous Vehicles Be Used to Replace Mobile Mapping Surveys? – A Case Study Surveying Roadside City Trees Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The continuous flow of autonomous vehicle-based data could revolutionize current map updating procedures and allow completely new types of mapping applications. Therefore, in this … |
E. HYYPPÄ et. al. | Remote. Sens. | 2023-03-27 |
| 973 | Unsupervised Adaptation from Repeated Traversals for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While extensive research has been done on such an unsupervised domain adaptation problem, one fundamental problem lingers: there is no reliable signal in the target domain to supervise the adaptation process. To overcome this issue we observe that it is easy to collect unsupervised data from multiple traversals of repeated routes. |
YURONG YOU et. al. | arxiv-cs.CV | 2023-03-27 |
| 974 | Advice Provision in Teleoperation of Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Teleoperation of autonomous vehicles has been gaining a lot of attention recently and is expected to play an important role in helping autonomous vehicles handle difficult … |
Yohai Trabelsi; Or Shabat; J. Lanir; Oleg Maksimov; Sarit Kraus; | Proceedings of the 28th International Conference on … | 2023-03-27 |
| 975 | The Application of Driver Models in The Safety Assessment of Autonomous Vehicles: Perspectives, Insights, Prospects Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Driver models play a vital role in developing and verifying autonomous vehicles (AVs). Previously, they were mainly applied in traffic flow simulation to model driver behavior. … |
Cheng Wang; Fengwei Guo; Rui-na Yu; Luyao Wang; Yuxin Zhang; | IEEE Transactions on Intelligent Vehicles | 2023-03-26 |
| 976 | The Application of Driver Models in The Safety Assessment of Autonomous Vehicles: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, no comparison or discussion of driver models is available regarding their utility to AVs in the last five years despite their necessities in the release of AVs. This motivates us to present a comprehensive survey of driver models in the paper and compare their applicability. |
Cheng Wang; Fengwei Guo; Ruilin Yu; Luyao Wang; Yuxin Zhang; | arxiv-cs.RO | 2023-03-26 |
| 977 | Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a socially-controllable behavior generation (SCBG) model for this purpose, which allows the users to specify the level of courtesy of the generated trajectory while ensuring realistic and human-like trajectory generation through learning from real-world driving data. |
WEI-JER CHANG et. al. | arxiv-cs.RO | 2023-03-24 |
| 978 | NVAutoNet: Fast and Accurate 360° 3D Visual Perception For Self Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Achieving robust and real-time 3D perception is fundamental for autonomous vehicles. While most existing 3D perception methods prioritize detection accuracy, they often overlook … |
TRUNG PHAM et. al. | 2024 IEEE/CVF Winter Conference on Applications of Computer … | 2023-03-23 |
| 979 | Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a computationally-efficient approach that leverages an ensemble of Gaussian processes (GPs) to generalize and adapt pre-trained GPs to unseen conditions. |
TOMÁŠ NAGY et. al. | arxiv-cs.RO | 2023-03-23 |
| 980 | AVOID: Autonomous Vehicle Operation Incident Dataset Across The Globe IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To contribute to the AV safety research community, we introduce AVOID: an open AV crash dataset. |
OU ZHENG et. al. | arxiv-cs.RO | 2023-03-22 |
| 981 | NVAutoNet: Fast and Accurate 360$^{\circ}$ 3D Visual Perception For Self Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While most existing 3D perception methods prioritize detection accuracy, they often overlook critical aspects such as computational efficiency, onboard chip deployment friendliness, resilience to sensor mounting deviations, and adaptability to various vehicle types. To address these challenges, we present NVAutoNet: a specialized Bird’s-Eye-View (BEV) perception network tailored explicitly for automated vehicles. |
TRUNG PHAM et. al. | arxiv-cs.CV | 2023-03-22 |
| 982 | Infrastructure-based End-to-End Learning and Prevention of Driver Failure Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present FailureNet, a recurrent neural network trained end-to-end on trajectories of both nominal and reckless drivers in a scaled miniature city. |
NOAM BUCKMAN et. al. | arxiv-cs.RO | 2023-03-21 |
| 983 | Deep Q-Network Based Decision Making for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a method for safely navigating an autonomous vehicle in highway scenarios by combining deep Q-Networks and insight from control theory. |
Max Peter Ronecker; Yuan Zhu; | arxiv-cs.RO | 2023-03-21 |
| 984 | UAV-based Scenario Builder and Physical Testing Platform for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous Vehicles (AVs) offer the promise of a road environment without accidents, much less congestion and a dramatic reduction in car emissions. In order for this vision to … |
ADARSH CHILKUNDA et. al. | 2023 6th Conference on Cloud and Internet of Things (CIoT) | 2023-03-20 |
| 985 | Digital Twin in Virtual Reality for Human-vehicle Interactions in The Context of Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the results of tests of interactions between real humans and simulated vehicles in a virtual scenario. |
Sergio Martín Serrano; Rubén Izquierdo; Iván García Daza; Miguel Ángel Sotelo; David Fernández Llorca; | arxiv-cs.RO | 2023-03-20 |
| 986 | Social Occlusion Inference with Vectorized Representation for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel social occlusion inference approach that learns a mapping from agent trajectories and scene context to an occupancy grid map (OGM) representing the view of ego vehicle. |
Bochao Huang; | arxiv-cs.CV | 2023-03-18 |
| 987 | Research on Risk Detection of Autonomous Vehicle Based on Rapidly-Exploring Random Tree Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There is no doubt that the autonomous vehicle is an important developing direction of the auto industry, and, thus, more and more scholars are paying attention to doing more … |
YINCONG MA et. al. | Comput. | 2023-03-17 |
| 988 | An Autonomous System for Head-to-Head Race: Design, Implementation and Analysis; Team KAIST at The Indy Autonomous Challenge IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the details of all components of our autonomy solution, including algorithms, implementation, and unit test results. |
CHANYOUNG JUNG et. al. | arxiv-cs.RO | 2023-03-16 |
| 989 | Emotion Monitoring Sensor Network Using A Drive Recorder Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of a mobility society, supporting drivers from the mental aspect for safe driving is an increasingly important issue before self-driving cars are dominant. We … |
JINSHAN LUO et. al. | 2023 IEEE 15th International Symposium on Autonomous … | 2023-03-15 |
| 990 | Optimized Control-Centric Communication in Cooperative Adaptive Cruise Control Systems Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we explore an innovative approach to enhance cooperative driving in vehicle platooning systems through the use of vehicle-to-everything (V2X) communication technologies. |
Mahdi Razzaghpour; Shahriar Shahram; Rodolfo Valiente; Mahdi Zaman; Yaser P. Fallah; | arxiv-cs.MA | 2023-03-14 |
| 991 | Privacy‐preserving Authentication Scheme for Digital Twin‐enabled Autonomous Vehicle Environments IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Currently, the automotive industry has entered a period of considerable advancement, shifting towards the development of safe, comfortable, and connected autonomous vehicles. … |
Chien‐Ming Chen; Qingkai Miao; Sachin Kumar; Tsu-Yang Wu; | Transactions on Emerging Telecommunications Technologies | 2023-03-14 |
| 992 | Expanded Situational Awareness Without Vision: A Novel Haptic Interface for Use in Fully Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This work presents a novel ultrasonic haptic interface to improve nonvisual perception and situational awareness in applications such as fully autonomous vehicles. User study … |
PAUL D. S. FINK et. al. | Proceedings of the 2023 ACM/IEEE International Conference … | 2023-03-13 |
| 993 | Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, they lack theoretical derivations and additionally they are designed to only cover special types of traffic scenarios (e.g. following between single car pairs). In this paper, we present a probabilistic situation risk model based on survival analysis considerations and extend it to naturally incorporate sensory, temporal and behavioral uncertainties as they arise in real-world scenarios. |
Tim Puphal; Malte Probst; Julian Eggert; | arxiv-cs.AI | 2023-03-13 |
| 994 | Out of Sight, Out of Mind?: Investigating People’s Assumptions About Object Permanence in Self-Driving Cars Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Safe and efficient interaction with autonomous road vehicles requires that human road users, including drivers, cyclists, and pedestrians, understand differences between the … |
Sam Thellman; Aksel Holmgren; Max Pettersson; T. Ziemke; | Companion of the 2023 ACM/IEEE International Conference on … | 2023-03-13 |
| 995 | I See You! Design Factors for Supporting Pedestrian-AV Interaction at Crosswalks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the advent of autonomous vehicles (AVs) on public roads, the frequency of interactions between these AVs and pedestrians will increase. One example of such an interaction is … |
Avram Block; Seonghee Lee; A. Pandya; Paul Schmitt; | Companion of the 2023 ACM/IEEE International Conference on … | 2023-03-13 |
| 996 | Attention-guiding Takeover Requests for Situation Awareness in Semi-autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In semi-autonomous driving (SAE Level-3), the automated driving system allows drivers to focus on their non-driving-related tasks for the majority of the journey. However, when … |
Qingxin Chen; Jialong Li; K. Tei; | Companion of the 2023 ACM/IEEE International Conference on … | 2023-03-13 |
| 997 | Coming In! Communicating Lane Change Intent in Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Lane changes of autonomous vehicles (AV) should not only succeed in making the maneuver but also provide a positive interaction experience for other drivers. As lane changes … |
S. LEE et. al. | Companion of the 2023 ACM/IEEE International Conference on … | 2023-03-13 |
| 998 | Anonymization Use Cases for Data Transfer in The Automotive Domain Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, modern vehicles become more and more smart and interconnected, which leads to new paradigms and applications, such as autonomous driving. However, when it comes to data … |
Andrea Fieschi; Pascal Hirmer; Rose Sturm; Martin Eisele; B. Mitschang; | 2023 IEEE International Conference on Pervasive Computing … | 2023-03-13 |
| 999 | Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new contrastive divergence loss to address the non-IID problem in autonomous driving by reducing the impact of divergence factors from transmitted models during the local learning process of each silo. |
TUONG DO et. al. | arxiv-cs.RO | 2023-03-10 |
| 1000 | Deep Learning Model Regression Based Object Detection for Adaptive Driving Beam Headlights Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the world moves toward automated driving (AD) continues, the future of adaptive driving beam headlights (ADB), is quickly coming into focus. Engineers, developers and designers … |
N. Somasiri; Shammika Wickramasinghe; Swathi Ganesan; | Proceedings of the 2023 8th International Conference on … | 2023-03-10 |