Continuous scenarios automatic generation method for high-level automatic driving simulation test

Xue-cong Ding; Jie Zeng; Xiong Hu; Wei Liao; Shen-yan Li

doi:10.1117/12.2689862

7 September 2023 Continuous scenarios automatic generation method for high-level automatic driving simulation test

Xue-cong Ding, Jie Zeng, Xiong Hu, Wei Liao, Shen-yan Li

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127900M (2023) https://doi.org/10.1117/12.2689862
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

With the continuous progress of automatic driving technology, a large number of L3 and higher level automatic driving vehicles have entered the testing and demonstration application stage. Efficient testing is the most core technical problem to be solved. However, the test method based on a single scenario obviously cannot meet the needs of high-level automatic driving test, and the actual road test is difficult to ensure the test efficiency. Simulation testing based on continuous scenarios can solve these problems well. This paper designs a continuous scenario automated generation method for highlevel automatic driving testing. Through scientific analysis of the coupling relationship between terrain, environment, and action elements, it can quickly find all reasonable scenario combinations that may occur on the road section. Using these combinations, it can efficiently and automatically generate scenario cases that can be directly used for high-level automatic driving simulation testing. The experimental results show that this method can generate a large number of reasonable continuous test scenarios as simulation test input, greatly improving test efficiency, and providing strong support for the iteration of L3 and higher level automatic driving technology.

Citation Download Citation

Xue-cong Ding, Jie Zeng, Xiong Hu, Wei Liao, and Shen-yan Li "Continuous scenarios automatic generation method for high-level automatic driving simulation test", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127900M (7 September 2023); https://doi.org/10.1117/12.2689862

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