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Parallel Planning: A New Motion Planning Framework for Autonomous Driving

Long Chen Xuemin Hu Wei Tian Hong Wang Dongpu Cao Fei-Yue Wang

自动化学报（英文版）2019，Vol.6Issue(1)：236-246,11.

自动化学报（英文版）2019，Vol.6Issue(1)：236-246,11.DOI:10.1109/JAS.2018.7511186

Parallel Planning: A New Motion Planning Framework for Autonomous Driving

Long Chen ¹Xuemin Hu ²Wei Tian ³Hong Wang ⁴Dongpu Cao ⁴Fei-Yue Wang⁵

作者信息

1. School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510275, China
2. School of Computer Science and Information Engineering, Hubei University, Wuhan 430062, China
3. Institute of Measurement and Control Systems,Karlsruhe Institute of Technology, Karlsruhe 76131, Germany
4. Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario N2L3G1, Canada
5. State Key Laboratory of Management and Control for Complex Systems,Institute of Automation, Chinese Academy of Sciences, China
折叠

摘要

关键词

Autonomous driving/artificial traffic scene/deep learning/emergencies/motion planning/parallel planning

Key words

Autonomous driving/artificial traffic scene/deep learning/emergencies/motion planning/parallel planning

引用本文复制引用

Long Chen,Xuemin Hu,Wei Tian,Hong Wang,Dongpu Cao,Fei-Yue Wang..Parallel Planning: A New Motion Planning Framework for Autonomous Driving[J].自动化学报（英文版）,2019,6(1):236-246,11.

基金项目

This work was supported in part by the National Natural Science Foundation of China (61773414,61806076),Hubei Provincial Natural Science Foundation of China (2018CFB158). （61773414,61806076）

自动化学报（英文版）

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