自动驾驶 - arXivDaily 专题

2503.12180 2025-11-18 cs.RO cs.CV 62%

Bench2FreeAD: A Benchmark for Vision-based End-to-end Navigation in Unstructured Robotic Environments

Yuhang Peng, Sidong Wang, Jihaoyu Yang, Shilong Li, Han Wang, Jiangtao Gong

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments 7 pages, 9 figures

2502.10012 2025-11-14 cs.AI cs.RO 62%

Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models

Asen Nachkov, Danda Pani Paudel, Jan-Nico Zaech, Davide Scaramuzza, Luc Van Gool

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments Accepted at AAAI 2026

2511.09032 2025-11-13 cs.AI cs.RO cs.SE 62%

Argus: Resilience-Oriented Safety Assurance Framework for End-to-End ADSs

Dingji Wang, You Lu, Bihuan Chen, Shuo Hao, Haowen Jiang, Yifan Tian, Xin Peng

机构 * College of Computer Science and Artificial Intelligence（计算机科学与人工智能学院）； Fudan University（复旦大学）

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments The paper has been accepted by the 40th IEEE/ACM International Conference on Automated Software Engineering, ASE 2025

Journal ref Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering.2025

2503.12030 2025-07-29 cs.RO cs.CV 62%

Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

Zhenxin Li, Shihao Wang, Shiyi Lan, Zhiding Yu, Zuxuan Wu, Jose M. Alvarez

机构 * Institute of Trustworthy Embodied AI, Fudan University（可信具身人工智能研究院，复旦大学）； Shanghai Collaborative Innovation Center of Intelligent Visual Computing（上海智能视觉计算协同创新中心）； The Hong Kong Polytechnic University（香港理工大学）； NVIDIA

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.CV

2507.04509 2025-07-08 cs.CV cs.AI 62%

MVL-Loc: Leveraging Vision-Language Model for Generalizable Multi-Scene Camera Relocalization

Zhendong Xiao, Wu Wei, Shujie Ji, Shan Yang, Changhao Chen

机构 * School of Automation Science and Engineering, South China University of Technology（自动化科学与工程学院，华南理工大学）； Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou)（人工智能方向，香港科学与技术大学（广州））

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments PRCV

2506.13833 2025-06-18 cs.SD cs.AI cs.RO eess.AS physics.app-ph 62%

A Survey on World Models Grounded in Acoustic Physical Information

Xiaoliang Chen, Le Chang, Xin Yu, Yunhe Huang, Xianling Tu

机构 * SoundAI Technology Co., Ltd.（声AI技术有限公司）

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments 28 pages,11 equations

2505.22025 2025-05-29 cs.CV eess.IV 62%

Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing

Manchao Bao, Shengjiang Fang, Tao Yue, Xuemei Hu

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.CV、eess.IV

2504.19077 2025-04-29 cs.CV cs.RO 62%

Learning to Drive from a World Model

Mitchell Goff, Greg Hogan, George Hotz, Armand du Parc Locmaria, Kacper Raczy, Harald Schäfer, Adeeb Shihadeh, Weixing Zhang, Yassine Yousfi

专题命中端到端驾驶：self-driving(abstract)；分类 cs.RO、cs.CV

2411.10171 2025-03-11 cs.RO cs.AI 62%

Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies

Anant Garg, K Madhava Krishna

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments Submitted to IROS 2025

2503.05573 2025-03-10 cs.RO cs.AI cs.ET cs.LG cs.NE 62%

InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model

Feeza Khan Khanzada, Jaerock Kwon

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments This work has been submitted to IROS 2025 and is currently under review

2502.20694 2025-03-03 cs.CV cs.AI 62%

WorldModelBench: Judging Video Generation Models As World Models

Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.CV、cs.AI

2501.16733 2025-01-29 cs.RO cs.CV cs.LG 62%

Dream to Drive with Predictive Individual World Model

Yinfeng Gao, Qichao Zhang, Da-wei Ding, Dongbin Zhao

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments Codes: https://github.com/gaoyinfeng/PIWM

2411.16131 2024-11-26 cs.AI cs.RO 62%

End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning

Mahmoud M. Kishky, Hesham M. Eraqi, Khaled F. Elsayed

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments NCTA 2024 Best Paper Honorable Mention

Journal ref The 16th International Joint Conference on Computational Intelligence (NCTA), Porto, Portugal, November 19-22, 2024

2405.17398 2024-10-29 cs.CV cs.AI 62%

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.CV、cs.AI

Comments NeurIPS 2024. Code and model: https://github.com/OpenDriveLab/Vista, demo page: https://vista-demo.github.io

2409.10940 2024-09-18 cs.RO cs.CV 62%

RoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation

Manthan Patel, Jonas Frey, Deegan Atha, Patrick Spieler, Marco Hutter, Shehryar Khattak

专题命中端到端驾驶：LiDAR(abstract)；分类 cs.RO、cs.CV

Comments Under review for IEEE RA-L

2312.06406 2024-08-06 cs.RO cs.AI 62%

Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing

Andrew Murdoch, Johannes Cornelius Schoeman, Hendrik Willem Jordaan

专题命中端到端驾驶：end-to-end driving(abstract)；分类 cs.RO、cs.AI

Comments Submitted to IEEE Transactions on Intelligent Transport Systems

2305.03997 2024-06-18 eess.IV cs.CV 62%

Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the Dark

Xin Lin, Jingtong Yue, Sixian Ding, Chao Ren, Lu Qi, Ming-Hsuan Yang

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.CV、eess.IV

2405.05861 2024-05-10 cs.RO cs.AI cs.LG 62%

ExACT: An End-to-End Autonomous Excavator System Using Action Chunking With Transformers

Liangliang Chen, Shiyu Jin, Haoyu Wang, Liangjun Zhang

专题命中端到端驾驶：LiDAR(abstract)；分类 cs.RO、cs.AI

Comments ICRA Workshop 2024: 3rd Workshop on Future of Construction: Lifelong Learning Robots in Changing Construction Sites

2404.10849 2024-04-19 cs.RO cs.AI 62%

End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving

Satya R. Jaladi, Zhimin Chen, Narahari R. Malayanur, Raja M. Macherla, Bing Li

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments Accepted by ITSC

2402.18102 2024-04-02 eess.IV cs.CV 62%

Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging

Bhargav Ghanekar, Salman Siddique Khan, Pranav Sharma, Shreyas Singh, Vivek Boominathan, Kaushik Mitra, Ashok Veeraraghavan

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.CV、eess.IV

2302.00064 2024-03-07 cs.AI cs.RO 62%

Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour

Rhys Howard, Lars Kunze

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

Comments 26 Pages = 13 Pages (Main Content) + 5 Pages (References) + 8 Pages (Appendix), 2 Figures, To be published in the Proceedings of the 2nd Conference on Causal Learning and Reasoning as part of the Journal of Machine Learning Research Workshop and Conference Proceedings series, Final submission version; Updated from initial to final submission version

Journal ref Proceedings of the Second Conference on Causal Learning and Reasoning, PMLR 213:473-498, 2023

2401.04980 2024-01-11 cs.RO cs.AI 62%

Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections

Daniel Attard, Josef Bajada

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

Journal ref TACTFUL 2023

2305.18499 2023-10-30 cs.CV cs.LG cs.RO 62%

Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning

Jialong Wu, Haoyu Ma, Chaoyi Deng, Mingsheng Long

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.CV

Comments NeurIPS 2023. Code is available at https://github.com/thuml/ContextWM

2310.00559 2023-10-03 cs.CV cs.MM eess.IV 62%

CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression

Chen-Hsiu Huang, Ja-Ling Wu

专题命中端到端驾驶：self-driving(abstract)；分类 cs.CV、eess.IV

Comments 7 pages, 5 figures; accepted by APSIPA ASC 2023

2307.03988 2023-07-11 cs.AI cs.RO 62%

PCG-based Static Underground Garage Scenario Generation

Wenjin Li, Kai Li

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

2004.09705 2022-09-26 cs.RO cs.AI 62%

Explainable Goal-Driven Agents and Robots -- A Comprehensive Review

Fatai Sado, Chu Kiong Loo, Wei Shiung Liew, Matthias Kerzel, Stefan Wermter

专题命中端到端驾驶：self-driving(abstract)；分类 cs.RO、cs.AI

2207.10295 2022-07-22 cs.LG cs.AI cs.RO 62%

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

Adam Villaflor, Zhe Huang, Swapnil Pande, John Dolan, Jeff Schneider

专题命中端到端驾驶：autonomous driving(abstract)；分类 cs.RO、cs.AI

2203.15041 2022-06-10 cs.RO cs.CV cs.LG cs.SY eess.SY 62%

Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation

Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Soeren Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, Peter Stone

专题命中端到端驾驶：LiDAR(abstract)；分类 cs.RO、cs.CV

Journal ref Robotics and Automation Letters (RA-L) 2022

2201.04279 2022-01-13 cs.CV cs.LG cs.RO cs.SD eess.AS 62%

Dynamical Audio-Visual Navigation: Catching Unheard Moving Sound Sources in Unmapped 3D Environments

Abdelrahman Younes

专题命中端到端驾驶：occupancy(abstract)；分类 cs.RO、cs.CV

2201.03195 2022-01-11 eess.IV cs.CV 62%

End-to-end lossless compression of high precision depth maps guided by pseudo-residual

Yuyang Wu, Wei Gao

专题命中端到端驾驶：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments Data Compression Conference 2022

1. 端到端驾驶 725 篇

Bench2FreeAD: A Benchmark for Vision-based End-to-end Navigation in Unstructured Robotic Environments

Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models

Argus: Resilience-Oriented Safety Assurance Framework for End-to-End ADSs

Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training

MVL-Loc: Leveraging Vision-Language Model for Generalizable Multi-Scene Camera Relocalization

A Survey on World Models Grounded in Acoustic Physical Information

Learnable Burst-Encodable Time-of-Flight Imaging for High-Fidelity Long-Distance Depth Sensing

Learning to Drive from a World Model

Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies

InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World Model

WorldModelBench: Judging Video Generation Models As World Models

Dream to Drive with Predictive Individual World Model

End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability

RoadRunner M&M -- Learning Multi-range Multi-resolution Traversability Maps for Autonomous Off-road Navigation

Partial End-to-end Reinforcement Learning for Robustness Against Modelling Error in Autonomous Racing

Dual Degradation Representation for Joint Deraining and Low-Light Enhancement in the Dark

ExACT: An End-to-End Autonomous Excavator System Using Action Chunking With Transformers

End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving

Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging

Evaluating Temporal Observation-Based Causal Discovery Techniques Applied to Road Driver Behaviour

Autonomous Navigation of Tractor-Trailer Vehicles through Roundabout Intersections

Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning

CPIPS: Learning to Preserve Perceptual Distances in End-to-End Image Compression

PCG-based Static Underground Garage Scenario Generation

Explainable Goal-Driven Agents and Robots -- A Comprehensive Review

Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning

Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation

Dynamical Audio-Visual Navigation: Catching Unheard Moving Sound Sources in Unmapped 3D Environments

End-to-end lossless compression of high precision depth maps guided by pseudo-residual