A research on the establishment of automated driving scenario database using natural language processing method

Bolin Zhou; Chen Chen; Shuai Zhao; Yunzhi Wang; Qidong Zhao; Ruiwen Zhao

doi:10.1117/12.2577454

10 November 2020 A research on the establishment of automated driving scenario database using natural language processing method

Bolin Zhou, Chen Chen, Shuai Zhao, Yunzhi Wang, Qidong Zhao, Ruiwen Zhao

Author Affiliations +

Proceedings Volume 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence; 1158422 (2020) https://doi.org/10.1117/12.2577454
Event: Third International Conference on Image, Video Processing and Artificial Intelligence, 2020, Shanghai, China

Abstract

Scenario definition for Automated Driving Function Validation is the state-of-the-art research area for autonomous driving, unification of the scenario description methods and language is the crucial step for the scenario definition. Based on the simulation scenario database established by China Automotive Technology and Research Center (CATARC) using natural language processing methods, to connect the human readable scenario definition with programmable scenario coding, provide the bridge between scenario definition with simulation testing, for better unify between scenario definition and virtual scenario building. With the participation of many enterprises, the corresponding test of automatic driving has become an access condition for the implementation of the corresponding technologies of automatic driving. Enterprises and institutions all over the world are trying to establish a unified scenario database to achieve the wide sharing and unification.

Citation Download Citation

Bolin Zhou, Chen Chen, Shuai Zhao, Yunzhi Wang, Qidong Zhao, and Ruiwen Zhao "A research on the establishment of automated driving scenario database using natural language processing method", Proc. SPIE 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence, 1158422 (10 November 2020); https://doi.org/10.1117/12.2577454

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