Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving-Reference-Cited by-同舟云学术

Hierarchical Interpretable Imitation Learning for End-to-End Autonomous Driving

Author:

Teng Siyu¹^ORCID,Chen Long²^ORCID,Ai Yunfeng³^ORCID,Zhou Yuanye⁴,Xuanyuan Zhe¹^ORCID,Hu Xuemin⁵^ORCID

Affiliation:

1. BNU-HKBU United International College, Zhuhai, China

2. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

3. University of Chinese Academy of Sciences, Beijing, China

4. Malardalen University, Vasteras, Sweden

5. School of Computer Science and Information Engineering, Hubei University, Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province in China

Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science

BNU-HKBU United International College

Guangdong Higher Education Upgrading Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Automotive Engineering

Link

Reference52 articles.

3. Carla: An open urban driving simulator;dosovitskiy;Proc 1st Annu Conf Robot Learn,0

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