摘要
为了提高无人驾驶汽车路径规划效率,减少规划时间,对无人驾驶车辆路径规划问题的算法进行归纳和总结。从环境信息的理解层面出发,根据研究对象对行驶环境信息认知程度不同,将无人驾驶路径规划算法分为全局路径规划和局部路径规划两种类型。对这两种规划方法的相关具体算法进行分析,找出其优缺点,提出路径规划未来的发展趋势的思路。
In order to improve the efficiency of path planning for driverless vehicles and reduce the planning time,the algorithms of path planning for driverless vehicles are summarized.From the understanding level of environmental information,according to the different cognitive degree of the research object to the driving environment information,the driverless path planning algorithm is divided into two types:global path planning and local path planning.This paper analyzes the specific algorithms of these two planning methods,finds out their advantages and disadvantages,and puts forward the ideas of the future development trend of path planning.
作者
张珂
ZHANG Ke(School of Mechatronics and Vehicle Engineering,Chongqing Jiaotong University,Chongqing 400041,China)
出处
《装备制造技术》
2021年第6期111-113,共3页
Equipment Manufacturing Technology
关键词
无人驾驶汽车
路径规划
算法综述
unmanned vehicles
path-planing
algorithm overview
