汽车工程 ›› 2022, Vol. 44 ›› Issue (10): 1484-1493.doi: 10.19562/j.chinasae.qcgc.2022.10.002
所属专题: 智能网联汽车技术专题-规划&控制2022年
收稿日期:2022-04-20
修回日期:2022-05-15
出版日期:2022-10-25
发布日期:2022-10-21
通讯作者:
卢少波
E-mail:lsb@cqu.edu.cn
基金资助:
Shaobo Lu1,2(
),Feifei Xie1,Bohan Zhang1,Jiafeng Lu1,Caixia Li1
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
摘要:
为保证人机共驾车辆紧急避让行人时的行人安全和车辆稳定性,提出了一种基于行人非对称势场的人(驾驶员)车协同博弈避撞策略。首先充分考虑行人过街特性及其与车辆的相对运动,建立了一种非对称双椭圆行人势场,以更好地表征行人风险,并在此基础上进行了避撞路径规划。接着为提升避撞过程的车辆稳定性并同时保证轨迹跟踪性能,构建了基于非合作博弈的驾驶员-主动前轮转向(AFS)-主动后轮转向(ARS)三者协同控制器,并在行人避让工况下进行了仿真验证。结果表明:ARS参与后,在确保避撞轨迹跟踪性能的同时,稳定性明显提升,其横向速度误差绝对值均值比驾驶员-AFS两者协同控制器减小了46.43%。
卢少波,谢菲菲,张博涵,陆嘉峰,李彩霞. 基于非对称势场的人车协同博弈避撞[J]. 汽车工程, 2022, 44(10): 1484-1493.
Shaobo Lu,Feifei Xie,Bohan Zhang,Jiafeng Lu,Caixia Li. Human-Vehicle Cooperative Game Collision Avoidance Based on Asymmetric Potential Fields[J]. Automotive Engineering, 2022, 44(10): 1484-1493.
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