Research on current method of route planning for autonomous vehicles
作者
Lingshan Luo,Qingsong Li,Junhao Yang,Luping Wang
标识
DOI:10.1117/12.2619746
摘要
With the construction of smart cities, autonomous driving is expected to provide revolutionary advancement for future road traffic systems. Among them, vehicle path optimization is a hot topic in the field of autonomous driving. Based on the related theories and methods of path planning, this paper reviews the research status of path planning algorithms, and classifies the related algorithms of global and local planning. The results show that there are few researches on dynamic obstacle avoidance in complex environment and obstacle avoidance algorithm based on driver behavior. In addition, the target of vehicle path optimization can be further expanded.