计算技术与自动化2013,Vol.32Issue(2):133-136,4.
基于改进人工势场法的智能无人车路径规划仿真研究
The Application of Artificial Potential Field in Intelligent Unmanned Vehicle Obstacle Avoidance System
摘要
Abstract
The traditional artificial potential field fails in the local minimum path problem,so that the intelligent unmanned cars can not reach the target point.An improved method of angle offset is presented here,Introduce how intelligent unmanned vehicles sonar sensor works.The simulation results show the effectiveness of the method.关键词
智能无人车/路径规划/人工势场法/避障/声纳传感器Key words
intelligent unmanned vehicles / path planning / artificial potential field/ obstacle avoidance/ sonar sensors分类
信息技术与安全科学引用本文复制引用
刘洲洲..基于改进人工势场法的智能无人车路径规划仿真研究[J].计算技术与自动化,2013,32(2):133-136,4.基金项目
陕西省自然科学基金资助项目(2011K09-16) (2011K09-16)