自动驾驶 - arXivDaily 专题

1909.00792 2019-09-04 cs.AI cs.RO 62%

Conditional Vehicle Trajectories Prediction in CARLA Urban Environment

Thibault Buhet, Emilie Wirbel, Xavier Perrotton

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

1906.09205 2019-06-24 cs.LG cs.AI cs.RO stat.ML 62%

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction

Fengda Zhu, Xiaojun Chang, Runhao Zeng, Mingkui Tan

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

1905.12197 2019-05-30 cs.RO cs.AI cs.LG 62%

LeTS-Drive: Driving in a Crowd by Learning from Tree Search

Panpan Cai, Yuanfu Luo, Aseem Saxena, David Hsu, Wee Sun Lee

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

Journal ref Proc. Robotics: Science & Systems (RSS), 2019

1812.08350 2019-04-12 eess.IV cs.CV 62%

Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation

Tsun-Hsuan Wang, Fu-En Wang, Juan-Ting Lin, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

专题命中规划控制：LiDAR(abstract)；分类 cs.CV、eess.IV

Comments 7 pages. 7 figures. ver.2

1904.00511 2019-04-02 cs.LG cs.AI cs.RO 62%

Risk Averse Robust Adversarial Reinforcement Learning

Xinlei Pan, Daniel Seita, Yang Gao, John Canny

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

Comments ICRA 2019

1809.07408 2019-03-05 cs.CV cs.RO 62%

Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

Yu Yao, Mingze Xu, Chiho Choi, David J. Crandall, Ella M. Atkins, Behzad Dariush

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

Comments To appear on ICRA 2019

1806.05767 2019-02-26 cs.RO cs.AI stat.ML 62%

Motion Planning Networks

Ahmed H. Qureshi, Anthony Simeonov, Mayur J. Bency, Michael C. Yip

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

Comments Paper published in ICRA'19

1902.05400 2019-02-15 cs.CV cs.LG cs.RO stat.ML 62%

Data-Driven Vehicle Trajectory Forecasting

Shayan Jawed, Eya Boumaiza, Josif Grabocka, Lars Schmidt-Thieme

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

Comments Published in ECML KNOWMe: 2nd International Workshop on Knowledge Discovery from Mobility and Transportation Systems 2018

1810.07225 2018-10-18 cs.RO cs.AI cs.LG 62%

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Yanfu Zhang, Wenshan Wang, Rogerio Bonatti, Daniel Maturana, Sebastian Scherer

专题命中规划控制：LiDAR(abstract)；分类 cs.RO、cs.AI

Comments CoRL 2018

1804.10467 2018-08-29 cs.RO cs.AI 62%

Interaction-Aware Probabilistic Behavior Prediction in Urban Environments

Jens Schulz, Constantin Hubmann, Julian Löchner, Darius Burschka

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

Comments Accepted paper at IEEE IROS 2018. $©$ 2018 IEEE

1805.09951 2018-05-28 cs.RO cs.AI 62%

A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios

Hossein Rastgoftar, Bingxin Zhang, Ella M. Atkins

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

Comments 8 pages, 9 figures, this paper will appear in the 2018 American Control Conference(ACC)

1805.01956 2018-05-08 cs.RO cs.AI cs.LG 62%

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Michael Everett, Yu Fan Chen, Jonathan P. How

专题命中规划控制：LiDAR(abstract)；分类 cs.RO、cs.AI

1804.00532 2018-04-03 cs.AI cs.CV cs.LG 62%

Predictions of short-term driving intention using recurrent neural network on sequential data

Zhou Xing, Fei Xiao

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

1712.03608 2017-12-12 cs.RO cs.AI 62%

Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain

Philipp Oettershagen, Florian Achermann, Benjamin Müller, Daniel Schneider, Roland Siegwart

专题命中规划控制：LiDAR(abstract)；分类 cs.RO、cs.AI

1505.02206 2016-03-30 cs.CV cs.AI stat.ML 62%

Learning image representations tied to ego-motion

Dinesh Jayaraman, Kristen Grauman

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

Comments Supplementary material appended at end. In ICCV 2015

1411.6326 2014-11-25 cs.RO cs.CV cs.LG 62%

Vision and Learning for Deliberative Monocular Cluttered Flight

Debadeepta Dey, Kumar Shaurya Shankar, Sam Zeng, Rupesh Mehta, M. Talha Agcayazi, Christopher Eriksen, Shreyansh Daftry, Martial Hebert, J. Andrew Bagnell

专题命中规划控制：LiDAR(abstract)；分类 cs.RO、cs.CV

1409.2399 2014-09-09 cs.RO cs.AI cs.MA 62%

Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots

Michal Čáp, Peter Novák, Alexander Kleiner, Martin Selecký

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

1207.1399 2012-07-09 cs.RO cs.AI 62%

Robotic Mapping with Polygonal Random Fields

Mark Paskin, Sebastian Thrun

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

Comments Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005)

2507.12911 2025-08-21 cs.RO cs.LG 61%

LaViPlan : Language-Guided Visual Path Planning with RLVR

Hayeon Oh

机构 * Electronics and Telecommunications Research Institute（电子通信研究院）

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

Comments Accepted to the 2nd ICCV 2025 Workshop on the Challenge of Out-of-Label Hazards in Autonomous Driving (13 pages, 6 figures)

2504.10275 2025-04-15 cs.CV cs.LG 61%

LMFormer: Lane based Motion Prediction Transformer

Harsh Yadav, Maximilian Schaefer, Kun Zhao, Tobias Meisen

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

Comments Accepted: Autonomous Driving Workshop, CVPR 2025

2207.02281 2022-07-07 cs.CV 61%

BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection

Asiegbu Miracle Kanu-Asiegbu, Ram Vasudevan, Xiaoxiao Du

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

Comments Accepted in Workshop on Safe Learning for Autonomous Driving, co-located with the International Conference on Machine Learning (ICML 20222)

2206.08783 2022-06-28 cs.RO 61%

A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning

Balint Gyevnar, Massimiliano Tamborski, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht

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

Comments IJCAI Workshop on Artificial Intelligence for Autonomous Driving (AI4AD), 2022

2111.08291 2021-11-17 cs.LG cs.AI eess.SP 61%

Switching Recurrent Kalman Networks

Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann

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

Comments Machine Learning for Autonomous Driving Workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia

1912.00074 2019-12-03 cs.LG cs.AI stat.ML 61%

Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles

Pin Wang, Hanhan Li, Ching-Yao Chan

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

Comments Machine Learning for Autonomous Driving Workshop on NeurIPS, 2019

1910.10318 2019-10-24 cs.CV cs.LG 61%

Winning the ICCV 2019 Learning to Drive Challenge

Michael Diodato, Yu Li, Manik Goyal, Iddo Drori

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

Journal ref ICCV Autonomous Driving Workshop, 2019

2608.26002 2026-08-27 cs.RO 新提交 57%

DESCENT: Directed Edge Scene Encoding for Airport Surface Movement Prediction

DESCENT：面向机场地面运动预测的有向边场景编码

Alexander Prutsch, David Schinagl, Horst Possegger

机构 * Graz University of Technology（格拉茨工业大学）； Institute of Visual Computing（视觉计算研究所）

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

AI总结该研究针对机场地面运动预测领域，提出基于Transformer的DESCENT架构，结合PRS上下文采样与检测Transformer解码器，在Amelia-10基准上较现有最优基线实现显著性能提升，尤其在安全关键场景表现突出。

Comments IROS 2026. Project page at this https URL (https://github.com/a-pru/descent)

2603.14603 2026-08-26 cs.RO 版本更新 57%

Latent Dynamics-Aware OOD Monitoring for Trajectory Prediction with Provable Guarantees

隐式动态感知的领域外监测用于轨迹预测的可证明保障

Tongfei Guo, Lili Su

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

AI总结本文提出基于快速突变点检测的轨迹预测领域外监测方法，通过隐马尔可夫模型建模预测误差演化，实现无需显式知识的领域外检测并保证延迟和误报率的可证明保障。

Comments Accepted by 2026 IEEE International Conference on Automation Science and Engineering (CASE 2026)

2602.17226 2026-08-26 cs.RO 版本更新 57%

Topology-Aware Decision Making for Multi-Session Localization and Mapping

利用拓扑信息的多会话定位与建图

Lorenzo Montano-Olivan, Julio A. Placed, Luis Montano, Maria T. Lazaro

机构 * Instituto Tecnológico de Aragón (ITA)（阿拉贡技术学院）； Instituto de Investigación en Ingeniería de Aragón (I3A)（阿拉贡工程研究院）； Universidad de Zaragoza（萨拉戈塔大学）

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

AI总结本研究提出一种基于拓扑信息的多会话框架，通过分析姿态图结构优化建图与定位，减少误差并提升一致性。

2608.22326 2026-08-25 cs.RO 新提交 57%

GCS-Bridging: Restoring Connectivity of Disconnected Convex Sets for Graph-of-Convex-Sets Motion Planning

GCS-Bridging：恢复凸集图运动规划中断开凸集的连通性

Xiaokai Zhou, Baoshi Cao, Yang Liu, Kui Sun, Boyu Ma, Zhengpu Wang, Zongwu Xie

机构 * State Key Laboratory of Robotics and Systems, Harbin Institute of Technology（哈尔滨工业大学机器人技术与系统国家重点实验室）； School of Mechanical and Aerospace Engineering, Nanyang Technological University（南洋理工大学机械与航天工程学院）

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

AI总结针对凸集图（GCS）规划中起始与目标区域断开的问题，提出GCS-Bridging方法，通过无碰撞点路径与凸集膨胀恢复连通性，模拟与硬件实验验证其高成功率与实用性。

Comments 8 pages, 3 figures

2604.10169 2026-08-25 cs.AI cs.LG 版本更新 57%

MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction

MAVEN-T：用于实时多智能体轨迹预测的强化异构蒸馏

Wenchang Duan, Zhenguo Gao, Jinguo Xian, Yi Shi

机构 * School of Mathematical Sciences, Shanghai Jiao Tong University（上海交通大学数学科学学院）； Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Shanghai Jiao Tong University（上海交通大学Bio-X研究院、发育与神经精神疾病遗传学重点实验室）； Shanghai Key Laboratory of Psychotic Disorders, Brain Science and Technology Research Center, Shanghai Jiao Tong University（上海精神疾病重点实验室、脑科学与技术研究中心，上海交通大学）

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

AI总结提出MAVEN-T框架，通过高容量教师模型和紧凑学生模型的异构蒸馏，结合强化学习优化，实现实时多智能体轨迹预测，在多个数据集上达到高精度与低延迟。

1. 规划控制 4271 篇

Conditional Vehicle Trajectories Prediction in CARLA Urban Environment

Continual Reinforcement Learning with Diversity Exploration and Adversarial Self-Correction

LeTS-Drive: Driving in a Crowd by Learning from Tree Search

Plug-and-Play: Improve Depth Estimation via Sparse Data Propagation

Risk Averse Robust Adversarial Reinforcement Learning

Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

Motion Planning Networks

Data-Driven Vehicle Trajectory Forecasting

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories

Interaction-Aware Probabilistic Behavior Prediction in Urban Environments

A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Predictions of short-term driving intention using recurrent neural network on sequential data

Towards Fully Environment-Aware UAVs: Real-Time Path Planning with Online 3D Wind Field Prediction in Complex Terrain

Learning image representations tied to ego-motion

Vision and Learning for Deliberative Monocular Cluttered Flight

Prioritized Planning Algorithms for Trajectory Coordination of Multiple Mobile Robots

Robotic Mapping with Polygonal Random Fields

LaViPlan : Language-Guided Visual Path Planning with RLVR

LMFormer: Lane based Motion Prediction Transformer

BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly Detection

A Human-Centric Method for Generating Causal Explanations in Natural Language for Autonomous Vehicle Motion Planning

Switching Recurrent Kalman Networks

Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles

Winning the ICCV 2019 Learning to Drive Challenge

DESCENT: Directed Edge Scene Encoding for Airport Surface Movement Prediction

Latent Dynamics-Aware OOD Monitoring for Trajectory Prediction with Provable Guarantees

Topology-Aware Decision Making for Multi-Session Localization and Mapping

GCS-Bridging: Restoring Connectivity of Disconnected Convex Sets for Graph-of-Convex-Sets Motion Planning

MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction