Adaptive Potential Field with Collision Avoidance for Connected Autonomous Vehicles

被引：0
作者：
Lin, Pengfei [1 ]
Tsukada, Manabu [1 ]
机构：
[1] Univ Tokyo, Grad Sch Informat Sci & Technol, Tokyo 1138657, Japan
来源：
2022 13TH ASIAN CONTROL CONFERENCE, ASCC | 2022年
关键词：
autonomous vehicles; potential field; collision avoidance; model predictive control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Potential field (PF), as a risk assessment method, is proposed to enhance autonomous vehicles' (AVs) safety in collision avoidance. However, current PF targets mainly standalone-mode AVs (SAVs) by evaluating their relative position and velocity. In addition, the risk energy of the PF is usually assigned an infinite value along the z-axis. Therefore, this study presents an adaptive potential field (APF) for connected autonomous vehicles (CAVs). Valuable information (heading angle, steering wheel angle, etc.) other than relative position and velocity is supplemented to PF. Furthermore, we separate the APF from the cost function of the model predictive controller (MPC) to compute the desired reference signals directly, saving more computation time. The proposed APF-MPC is co-simulated in a comparative driving scenario via MATLAB/Simulink and CarSim simulator compared with the latest PF-MPC method.
引用
收藏
页码：2251 / 2256
页数：6
相关论文
共 30 条
[11]  
Khatib O., 1986, Adaptive and learning systems, P367, DOI [DOI 10.1007/978-1-4757-1895-9_26, 10.1007/978-1-4757-1895-9_26]
[12]  
Kilinc A.S., 2012, TS06G-Engineering Surveying, Machine Control and Guidance
[13]  
KOREN Y, 1991, 1991 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, P1398, DOI 10.1109/ROBOT.1991.131810
[14]  
Leilabadi SH, 2019, IEEE INT C INTELL TR, P889, DOI 10.1109/ITSC.2019.8916775
[15]  
Lin P., 2022, P IEEE ROB AUT LETT, P1
[16]  
Lin P., P ASIAN J CONTROL
[17]   Local Path Planning Using Artificial Potential Field for Waypoint Tracking with Collision Avoidance [J].
Lin, Pengfei ;
Choi, Woo Young ;
Chung, Chung Choo .
2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,
[18]  
Lin PF, 2020, INT C CONTR AUTOMAT, P731, DOI [10.23919/ICCAS50221.2020.9268380, 10.23919/iccas50221.2020.9268380]
[19]  
Lin PF, 2020, CHIN CONTR CONF, P5455, DOI [10.23919/CCC50068.2020.9189037, 10.23919/ccc50068.2020.9189037]
[20]   A Virtual Coupling Approach Based on Event-triggering Control for CBTC Systems under Jamming Attacks [J].
Ma, Shuomei ;
Bu, Bing ;
Wang, Hongwei .
2020 IEEE 92ND VEHICULAR TECHNOLOGY CONFERENCE (VTC2020-FALL), 2020,
123