Collision Avoidance with Transitional Drift Control

被引:1
|
作者
Zhao, Tong [1 ]
Yurtsever, Ekim [1 ]
Chladny, Ryan [2 ]
Rizzoni, Giorgio [1 ]
机构
[1] Ohio State Univ, Ctr Automot Res, 930 Kinnear Rd, Columbus, OH 43212 USA
[2] Mathworks, 28125 Cabot Dr 200, Novi, MI 48377 USA
来源
2021 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC) | 2021年
关键词
D O I
10.1109/ITSC48978.2021.9564696
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Enhancing driving safety is a continuing effort towards safer transportation in the automotive industry. It is generally accepted that one of the benefits brought about by increasing levels of automation in vehicles is increased safety. In this paper we propose an automated emergency maneuver controller for safely and stably operating the vehicle at its handling limit in emergency situations. This paper explores the possible scenarios where such an ability is critical to keep an autonomous vehicle safe in an emergency scenario, by implementing a mode switching control design that successfully enhances safety in a driving scenario that would have caused an accident had the vehicle been operated by traditional vehicle control algorithms. The proposed mode switching control design uses geometric and kinematic criteria to determine the mode of operation for a vehicle, and applies tailored optimal control in each mode to minimize the safety risk in a finite planning horizon. The proposed method outperforms two control baselines including a drift sustaining controller in simulation by having the additional flexibility in following a challenging direction-changing path at considerable speed.
引用
收藏
页码:907 / 914
页数:8
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