Research on simulation in loop test platform based on monocular camera

Wei Liao; Jie Zeng; Chao Wu; Jingdong Lin; Xiong Hu; Shen-yan Li

doi:10.1117/12.2689510

7 September 2023 Research on simulation in loop test platform based on monocular camera

Wei Liao, Jie Zeng, Chao Wu, Jingdong Lin, Xiong Hu, Shen-yan Li

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127904K (2023) https://doi.org/10.1117/12.2689510
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

At present, the intelligent vehicle technology is gradually developing from driving assistance to automatic driving, and the safety test of autonomous vehicle faces great challenges. In this paper, the monocular camera is taken as the test research object, and the automatic driving in-loop simulation platform is constructed. The simulation test scenario is established by the SCANeR scenario software. The dynamic model is established by CarSim. The camera model is established according to the internal and external parameters of the camera. The distance calculation model of the camera’s dark box is established according to the small hole imaging principle of the camera, and the test project is established by VeriStand software. Finally, the static identification effect of the auto drive system based on the monocular camera provided by a manufacturer is compared and tested, and the obstacle avoidance function of the automatic driving system is tested and analyzed. The results show that the simulation in loop test platform can effectively complete the test of auto drive system, and is of great significance to improve the safety of autonomous vehicle

Citation Download Citation

Wei Liao, Jie Zeng, Chao Wu, Jingdong Lin, Xiong Hu, and Shen-yan Li "Research on simulation in loop test platform based on monocular camera", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127904K (7 September 2023); https://doi.org/10.1117/12.2689510

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