Parallel testing of vehicle intelligence via virtual-real interaction

Li Li; Xiao Wang; Kunfeng Wang; Yilun Lin; Jingmin Xin; Long Chen; Linhai Xu; Bin Tian; Yunfeng Ai; Jian Wang; Dongpu Cao; Yuehu Liu; Chenghong Wang; Nanning Zheng; Fei-Yue Wang

doi:10.1126/scirobotics.aaw4106

Parallel testing of vehicle intelligence via virtual-real interaction

Sci Robot. 2019 Mar 27;4(28):eaaw4106. doi: 10.1126/scirobotics.aaw4106.

Authors

Li Li¹, Xiao Wang^{2

3}, Kunfeng Wang^{2

3}, Yilun Lin^{2

3

4}, Jingmin Xin⁵, Long Chen^{6

7}, Linhai Xu⁵, Bin Tian^{2

7}, Yunfeng Ai^{4

7}, Jian Wang^{7

8}, Dongpu Cao^{7

8

9}, Yuehu Liu⁵, Chenghong Wang^{10

11}, Nanning Zheng¹², Fei-Yue Wang¹³

Affiliations

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.
¹² Institute of Artificial Intelligence and Robotics (IAIR), Xi'an Jiaotong University, Xi'an 710049, China. nnzheng@mail.xjtu.edu.cn feiyue.wang@ia.ac.cn.
¹³ The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China. nnzheng@mail.xjtu.edu.cn feiyue.wang@ia.ac.cn.

PMID: 33137752
DOI: 10.1126/scirobotics.aaw4106

Abstract

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

Publication types

Review
Research Support, Non-U.S. Gov't