Research on testing and evaluation method of autonomous driving perception algorithm based on data playback

Zhigang Jin; Yaofu Wang; Qingyu Zhang; Chuanpeng Li

doi:10.1117/12.3025441

28 February 2024 Research on testing and evaluation method of autonomous driving perception algorithm based on data playback

Zhigang Jin, Yaofu Wang, Qingyu Zhang, Chuanpeng Li

Author Affiliations +

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130712L (2024) https://doi.org/10.1117/12.3025441
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

With the promotion of policies and the continuous development of artificial intelligence, autonomous vehicle have gained more and more attention. The environment perception system is the key to realize the real-time interaction between the vehicle and the external environment. It is also the first step to realize automatic driving, and plays an important role in the safe driving of autonomous vehicle. The development and application of the environmental perception algorithms cannot be separated from testing and evaluation. The test evaluation can effectively verify the accuracy and stability of the environment perception algorithm, and provide reliable input for the decision-making and control of the auto drive system. This article establishes a perception algorithm testing system based on data playback, and proposes a testing and evaluation method for perception algorithms based on the environmental information requirements of decision control systems, in order to improve the development efficiency of environmental perception algorithms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhigang Jin, Yaofu Wang, Qingyu Zhang, and Chuanpeng Li "Research on testing and evaluation method of autonomous driving perception algorithm based on data playback", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130712L (28 February 2024); https://doi.org/10.1117/12.3025441

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