自动驾驶 - arXivDaily 专题

2305.15942 2023-05-26 cs.CV cs.RO 76%

Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving

Anthony Knittel, Morris Antonello, John Redford, Subramanian Ramamoorthy

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.CV

2303.09824 2023-05-11 cs.RO cs.AI 76%

Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives

Siyu Teng, Xuemin Hu, Peng Deng, Bai Li, Yuchen Li, Dongsheng Yang, Yunfeng Ai, Lingxi Li, Zhe Xuanyuan, Fenghua Zhu, Long Chen

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.AI

Comments 21 pages, 15 figures and 5 tables, in IEEE Transactions on Intelligent Vehicles

2301.08595 2023-03-01 cs.RO cs.AI cs.HC 76%

MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving

Mariah L. Schrum, Emily Sumner, Matthew C. Gombolay, Andrew Best

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.AI

2109.12764 2022-10-17 cs.LG cs.AI cs.RO 76%

Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving

Zihao Sheng, Yunwen Xu, Shibei Xue, Dewei Li

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.AI

Comments 11 pages, 9 figures, 8 tables, submitted to IEEE Trans. Intelligent Transportation Systems

Journal ref IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 17654-17665, 2022

2209.09206 2022-09-20 cs.AI cs.RO 76%

A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks

Eslam Eldeeb, Dian Echevarría Pérez, Jean Michel de Souza Sant'Ana, Mohammad Shehab, Nurul Huda Mahmood, Hirley Alves, Matti Latva-aho

专题命中规划控制：trajectory planning(title)；分类 cs.RO、cs.AI

Journal ref 2022 Joint EuCNC/6G Summit, 2022, pp. 172-177

2206.10902 2022-06-23 cs.CV cs.LG cs.RO 76%

S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

Weihuang Chen, Fangfang Wang, Hongbin Sun

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.CV

Comments Accepted by ACML2021

2204.06509 2022-04-14 cs.LG cs.AI cs.RO 76%

Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning

Ugo Lecerf, Christelle Yemdji-Tchassi, Pietro Michiardi

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.AI

Comments To appear in Generalizable Policy Learning in the Physical World workshop (ICLR 2022)

2202.09271 2022-02-21 cs.RO cs.AI 76%

Enhanced Behavioral Cloning with Environmental Losses for Self-Driving Vehicles

Nelson Fernandez Pinto, Thomas Gilles

专题命中规划控制：self-driving(title)；分类 cs.RO、cs.AI

2102.02315 2021-09-16 cs.RO cs.AI 76%

Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning

Sam Garlick, Andrew Bradley

专题命中规划控制：trajectory planning(title)；分类 cs.RO、cs.AI

2109.00890 2021-09-03 cs.RO cs.CV 76%

Real-World Application of Various Trajectory Planning Algorithms on MIT RACECAR

Oguzhan Kose

专题命中规划控制：trajectory planning(title)；分类 cs.RO、cs.CV

2104.00859 2021-04-05 cs.RO cs.AI 76%

An NCAP-like Safety Indicator for Self-Driving Cars

Jimy Cai Huang, Hanna Kurniawati

专题命中规划控制：self-driving(title)；分类 cs.RO、cs.AI

2011.06679 2021-01-29 cs.CV cs.RO 76%

Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss

Ross Greer, Nachiket Deo, Mohan Trivedi

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.CV

Comments 8 pages, 18 figures

2005.02545 2020-09-04 cs.CV cs.RO 76%

Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation

Kaouther Messaoud, Nachiket Deo, Mohan M. Trivedi, Fawzi Nashashibi

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.CV

Comments Revised submission for RA-L

1912.11676 2020-08-07 cs.CV cs.LG cs.RO stat.ML 76%

Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review

Sajjad Mozaffari, Omar Y. Al-Jarrah, Mehrdad Dianati, Paul Jennings, Alexandros Mouzakitis

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.CV

1908.09031 2020-03-31 cs.RO cs.CV cs.LG stat.ML 76%

Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving

Jiachen Li, Wei Zhan, Yeping Hu, Masayoshi Tomizuka

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.CV

Comments IEEE Transactions on Intelligent Transportation Systems

2002.11020 2020-02-26 cs.CV cs.LG eess.IV 76%

See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving

Ekrem Aksoy, Ahmet Yazıcı, Mahmut Kasap

专题命中规划控制：end-to-end driving(title)；分类 cs.CV、eess.IV

2001.02354 2020-01-09 cs.CV cs.LG cs.RO 76%

VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving

Yanliang Zhu, Deheng Qian, Dongchun Ren, Huaxia Xia

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.CV

1804.01310 2019-01-21 cs.CV cs.LG cs.RO 76%

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Ana I. Maqueda, Antonio Loquercio, Guillermo Gallego, Narciso Garcia, Davide Scaramuzza

专题命中规划控制：self-driving(title)；分类 cs.RO、cs.CV

Comments 9 pages, 8 figures, 6 tables. Video: https://youtu.be/_r_bsjkJTHA

Journal ref IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, 2018

1812.01254 2018-12-05 cs.AI cs.RO 76%

Risk-averse Behavior Planning for Autonomous Driving under Uncertainty

Mohammad Naghshvar, Ahmed K. Sadek, Auke J. Wiggers

专题命中规划控制：autonomous driving(title)；分类 cs.RO、cs.AI

Comments 7 pages, accepted to NeurIPS 2018 Workshop on Machine Learning for Intelligent Transportation Systems (MLITS)

2211.00149 2022-11-02 cs.CV 76%

Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss

Titas Chakraborty, Akshay Bhagat, Henggang Cui

专题命中规划控制：autonomous driving(title,comments)；分类 cs.CV

Comments Accepted at NeurIPS 2022 Machine Learning for Autonomous Driving Workshop

2206.02163 2022-06-07 cs.CV 76%

MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving

Stepan Konev, Kirill Brodt, Artsiom Sanakoyeu

专题命中规划控制：autonomous driving(title,comments)；分类 cs.CV

Comments CVPR Workshop on Autonomous Driving 2021. Waymo Motion Prediction Challenge 2021

2009.04234 2021-04-06 cs.RO 76%

Optimal Trajectory Planning for Cinematography with Multiple Unmanned Aerial Vehicles

Alfonso Alcántara, Jesús Capitán, Rita Cunha, Aníbal Ollero

专题命中规划控制：trajectory planning(title,comments)；分类 cs.RO

Comments This paper has been published as: Optimal trajectory planning for cinematography with multiple Unmanned Aerial Vehicles. Alfonso Alcantara and Jesus Capitan and Rita Cunha and Anibal Ollero. Robotics and Autonomous Systems. 103778 (2021) 10.1016/j.robot.2021.103778

Journal ref Robotics and Autonomous Systems. 103778 (2021)

1912.07882 2019-12-18 stat.ML cs.AI cs.LG 76%

Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks

Donsuk Lee, Yiming Gu, Jerrick Hoang, Micol Marchetti-Bowick

专题命中规划控制：autonomous driving(title,comments)；分类 cs.AI

Comments Accepted in Machine Learning for Autonomous Driving NeurIPS 2019 Workshop

2602.07680 2026-02-19 cs.CV cs.AI cs.LG cs.RO 75%

Vision and Language: Novel Representations and Artificial intelligence for Driving Scene Safety Assessment and Autonomous Vehicle Planning

视觉与语言：新颖的表示方法和人工智能用于驾驶场景安全评估与自动驾驶规划

Ross Greer, Maitrayee Keskar, Angel Martinez-Sanchez, Parthib Roy, Shashank Shriram, Mohan Trivedi

专题命中规划控制：autonomous driving(abstract)；trajectory planning(abstract)；分类 cs.RO、cs.CV、cs.AI

AI总结本文研究了视觉-语言表示在自动驾驶安全评估和规划中的应用，提出轻量级危险检测、轨迹规划框架整合及自然语言约束方法，强调表示-任务对齐的重要性。

2507.02948 2025-07-15 cs.CV cs.AI cs.RO 75%

DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction

Zhiyi Hou, Enhui Ma, Fang Li, Zhiyi Lai, Kalok Ho, Zhanqian Wu, Lijun Zhou, Long Chen, Chitian Sun, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Kaicheng Yu

机构 * Westlake University（西湖大学）； Xiaomi EV（小米汽车）； Zhejiang University（浙江大学）

专题命中规划控制：autonomous driving(abstract)；BEV(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments 12 pages, 4 figures. Code available at https://github.com/hzy138/DriveMRP

2412.08643 2024-12-12 cs.CV cs.AI cs.LG cs.RO 75%

GPD-1: Generative Pre-training for Driving

Zixun Xie, Sicheng Zuo, Wenzhao Zheng, Yunpeng Zhang, Dalong Du, Jie Zhou, Jiwen Lu, Shanghang Zhang

专题命中规划控制：autonomous driving(abstract)；trajectory planning(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments Code is available at: https://github.com/wzzheng/GPD

2410.20220 2024-10-29 cs.RO cs.AI cs.CV cs.LG 75%

Neural Fields in Robotics: A Survey

Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay

专题命中规划控制：autonomous driving(abstract)；occupancy(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments 20 pages, 20 figures. Project Page: https://robonerf.github.io

2209.07042 2024-06-26 cs.RO cs.AI cs.CV 75%

Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles

Der-Hau Lee

专题命中规划控制：autonomous driving(abstract)；self-driving(abstract)；分类 cs.RO、cs.CV、cs.AI

Comments 14 figures, 14 pages

Journal ref Applied Intelligence (2024)

2403.06993 2024-03-13 cs.RO cs.AI cs.LG cs.SY eess.IV eess.SY 75%

Automatic driving lane change safety prediction model based on LSTM

Wenjian Sun, Linying Pan, Jingyu Xu, Weixiang Wan, Yong Wang

专题命中规划控制：autonomous driving(abstract)；trajectory planning(abstract)；分类 cs.RO、eess.IV、cs.AI

2004.12591 2020-11-03 cs.CV cs.LG cs.RO eess.IV 75%

VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments

Peide Cai, Yuxiang Sun, Hengli Wang, Ming Liu

专题命中规划控制：autonomous driving(abstract)；end-to-end driving(abstract)；分类 cs.RO、cs.CV、eess.IV

Comments 11 pages, 14 figures, and 4 tables. The paper is accepted by IEEE Transactions on Intelligent Vehicles (T-IV), 2020

1. 规划控制 4245 篇

Comparison of Pedestrian Prediction Models from Trajectory and Appearance Data for Autonomous Driving

Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives

MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving

Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving

A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks

S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning

Enhanced Behavioral Cloning with Environmental Losses for Self-Driving Vehicles

Real-Time Optimal Trajectory Planning for Autonomous Vehicles and Lap Time Simulation Using Machine Learning

Real-World Application of Various Trajectory Planning Algorithms on MIT RACECAR

An NCAP-like Safety Indicator for Self-Driving Cars

Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss

Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation

Deep Learning-based Vehicle Behaviour Prediction For Autonomous Driving Applications: A Review

Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving

See, Attend and Brake: An Attention-based Saliency Map Prediction Model for End-to-End Driving

VisionNet: A Drivable-space-based Interactive Motion Prediction Network for Autonomous Driving

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Risk-averse Behavior Planning for Autonomous Driving under Uncertainty

Improving Motion Forecasting for Autonomous Driving with the Cycle Consistency Loss

MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving

Optimal Trajectory Planning for Cinematography with Multiple Unmanned Aerial Vehicles

Joint Interaction and Trajectory Prediction for Autonomous Driving using Graph Neural Networks

Vision and Language: Novel Representations and Artificial intelligence for Driving Scene Safety Assessment and Autonomous Vehicle Planning

DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction

GPD-1: Generative Pre-training for Driving

Neural Fields in Robotics: A Survey

Efficient Perception, Planning, and Control Algorithm for Vision-Based Automated Vehicles

Automatic driving lane change safety prediction model based on LSTM

VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments