Research on active collision avoidance strategy of autonomous vehicles based on risk assessment

Zhenlin Yue; Zhuping Zhou

doi:10.1117/12.3039502

28 August 2024 Research on active collision avoidance strategy of autonomous vehicles based on risk assessment

Zhenlin Yue, Zhuping Zhou

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 1325164 (2024) https://doi.org/10.1117/12.3039502
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

With the continuous increase of car ownership in our country, road traffic safety has become a social issue that cannot be ignored today. Pedestrians and cyclists, as vulnerable road users, are often more prone to accidents when traffic accidents occur. Therefore, smart car active collision avoidance technology for vulnerable road users has become a current research hotspot. Therefore, this article mainly studies autonomous vehicle collision avoidance strategies for pedestrians. First, a vehicle collision risk assessment model is constructed based on pedestrian trajectory prediction. Secondly, determine the active collision avoidance strategy of autonomous vehicles based on the collision safety distance between humans and vehicles based on the risk assessment model. Finally, SUMO, Unity, and Python software were used to build a joint simulation platform to study the feasibility and safety of the research strategy in this article.

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

Citation Download Citation

Zhenlin Yue and Zhuping Zhou "Research on active collision avoidance strategy of autonomous vehicles based on risk assessment", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 1325164 (28 August 2024); https://doi.org/10.1117/12.3039502

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