Methodology of hierarchical collision avoidance for high‐speed self‐driving vehicle based on motion‐decoupled extraction of scenarios-Reference-Cited by-同舟云学术

Methodology of hierarchical collision avoidance for high‐speed self‐driving vehicle based on motion‐decoupled extraction of scenarios

Published:2020-01-28 Issue:3 Volume:14 Page:172-181
ISSN:1751-956X
Container-title:IET Intelligent Transport Systems
language:en
Short-container-title:IET intell. transp. syst

Author:

Liu Zhaolin¹²,Chen Jiqing¹²,Lan Fengchong¹²,Xia Hongyang¹²^ORCID

Affiliation:

1. School of Mechanical and Automotive Engineering, South China University of Technology381 Wushan Road, Tianhe DistrictGuangzhou510640People's Republic of China

2. Guangdong Provincial Key Laboratory of Automotive381 Wushan Road, Tianhe DistrictGuangzhou510640People's Republic of China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Law,Mechanical Engineering,General Environmental Science,Transportation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-its.2019.0334

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