Parallel testing of vehicle intelligence via virtual-real interaction-Reference-Cited by-同舟云学术

Parallel testing of vehicle intelligence via virtual-real interaction

Published:2019-03-13 Issue:28 Volume:4 Page:
ISSN:2470-9476
Container-title:Science Robotics
language:en
Short-container-title:Sci. Robot.

Author:

Li Li¹^ORCID,Wang Xiao²³^ORCID,Wang Kunfeng²³^ORCID,Lin Yilun²³⁴^ORCID,Xin Jingmin⁵^ORCID,Chen Long⁶⁷^ORCID,Xu Linhai⁵,Tian Bin²⁷^ORCID,Ai Yunfeng⁴⁷^ORCID,Wang Jian⁷⁸^ORCID,Cao Dongpu⁷⁸⁹^ORCID,Liu Yuehu⁵^ORCID,Wang Chenghong¹⁰¹¹^ORCID,Zheng Nanning⁵^ORCID,Wang Fei-Yue²^ORCID

Affiliation:

1. Department of Automation, BNRist, Tsinghua University, Beijing 100084, China.

2. The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

3. Qingdao Academy of Intelligent Industries, Qingdao 266000, China.

4. University of Chinese Academy of Sciences, Beijing 100049, China.

5. Institute of Artificial Intelligence and Robotics (IAIR), Xi’an Jiaotong University, Xi’an 710049, China.

6. Sun Yat-sen University, Guangzhou 510275, China.

7. VIPioneers (HuiTuo) Inc., Qingdao 266109, Shandong, China.

8. Jilin University, Changchun 130012, China.

9. Waterloo Cognitive Autonomous Driving (CogDrive) Lab, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada.

10. Chinese Association of Automation, Beijing 100190, China.

11. National Natural Science Foundation of China, Beijing 100085, China.

Abstract

A closed-loop parallel testing system implements more challenging tests to accelerate evaluation and development of autonomous vehicles.

Funder

National Natural Science Foundation of China

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference10 articles.

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4. Extensive tests of autonomous driving technologies;Broggi A.;IEEE Trans. Intell. Transport. Syst.,2013

5. Intelligence testing for autonomous vehicles: A new approach;Li L.;IEEE Trans. Intell. Veh.,2016

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