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Automotive Engineering ›› 2022, Vol. 44 ›› Issue (10): 1484-1493.doi: 10.19562/j.chinasae.qcgc.2022.10.002

Special Issue: 智能网联汽车技术专题-规划&控制2022年

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Human-Vehicle Cooperative Game Collision Avoidance Based on Asymmetric Potential Fields

Shaobo Lu1,2(),Feifei Xie1,Bohan Zhang1,Jiafeng Lu1,Caixia Li1   

  1. 1.College of Mechanical and Vehicle Engineering,Chongqing University,Chongqing  400044
    2.Chongqing University,State Key Laboratory of Mechanical Transmission,Chongqing  400044
  • Received:2022-04-20 Revised:2022-05-15 Online:2022-10-25 Published:2022-10-21
  • Contact: Shaobo Lu E-mail:lsb@cqu.edu.cn

Abstract:

In order to ensure the safety of pedestrians and the stability of vehicle in the emergency pedestrian avoidance of human-machine co-driven vehicle, a human (driver)-vehicle cooperative game collision avoidance strategy based on pedestrian asymmetric potential field is proposed. Firstly, with full consideration of the street-crossing characteristics of pedestrian and his relative motion with vehicle, an asymmetric double elliptical pedestrian potential field is established for better characterize pedestrian risk, based on which the path planning for collision avoidance is performed. Then, for enhancing vehicle stability during collision avoidance and ensuring trajectory tracking performance, a non-cooperative game-based driver-AFS-ARS three-way synergy controller is constructed with a simulation on the condition of pedestrian avoidance is conducted for verification. The results show that with the ARS control added, not only the trajectory tracking performance in collision avoidance is ensured, the stability of vehicle is also apparently enhanced, with its average absolute value of error in lateral speed being 46.43% less than driver-AFS cooperative control.

Key words: cooperative control, improved artificial potential field, non-cooperative game, trajectory tracking, stability control