摘要
文章针对近年来的无人驾驶汽车路径规划算法进行总结和归纳。首先对目前主流的环境建模方法进行阐述;其次对路径规划算法进行介绍,通过分析其优缺点,指出融合轨迹规划算法具有最好的适用性;最后总结当前研究挑战并提出了相关建议。
Autonomous vehicle path planning latest algorithms have been investigated in this paper.Firstly,the current mainstream environmental modeling methods are described;Afterwards,corresponding path planning algorithms are introduced,by analyzing their advantages and disadvantages to pointed out that the fusion trajectory planning algorithm has the best applicability.Finally,by summarizing the current research challenges and proposes relevant suggestions.
作者
徐瑞
李军
XU Rui;LI Jun(School of Mechatronics and Vehicle Engineering,Chongqing Jiaotong University,Chongqing 400074,China;Chongqing Key Laboratory of Urban Rail Transit Vehicle System Integration and Control,Chongqing 400074,China)
出处
《汽车科技》
2020年第5期84-89,共6页
Auto Sci-Tech
基金
重庆市轨道交通车辆系统集成与控制重庆市重点实验室项目(CSTC2015yfpt-zdsys30001)。
关键词
无人驾驶汽车
环境建模
路径规划
搜索算法
Autonomous Vehicle
Environment Modeling
Path Planning
Search Algorithm
