期刊文献+

基于改进人工势场法的汽车避障路径规划研究 被引量:6

Research on Obstacle Avoidance Path Planning of Vehicle Based on Improved Artificial Potential Field Method
下载PDF
导出
摘要 传统人工势场法仅适用于规避静态障碍物,而现实交通环境中障碍物一般都是动态的。基于传统人工势场法进行改进,在改进人工势场法加入速度元素,规划出动态路径。同时,考虑到汽车的转向特性,基于最小转向半径对算法进一步改进以满足汽车的转向行驶要求。仿真分析结果表明,基于改进人工势场法所规划出的路径可有效规避动态障碍物,并且满足汽车转向要求。 Traditional artificial potential field method is only suitable for avoiding static obstacles,but obstacles in real traffic environment are generally dynamic.This paper improves the traditional artificial potential field method by adding speed element and plans the dynamic path.Considering the steering characteristics of the vehicle,the artificial potential field method is further improved to meet the driving requirements of the intelligent vehicle on the planned path.The simulation results show that the path planned based on the improved artificial potential field method can effectively avoid dynamic obstacles and meet the requirements of vehicle steering.
作者 杨雪艳 钱宇彬 Yang Xueyan;Qian Yubin(School of Automotive and Mechanical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处 《农业装备与车辆工程》 2020年第1期85-88,共4页 Agricultural Equipment & Vehicle Engineering
关键词 人工势场法 智能汽车 动态路径 转向特性 artificial potential field method intelligent vehicle dynamic path steering characteristics
  • 相关文献

参考文献5

二级参考文献45

  • 1景兴建,王越超,谈大龙.人工协调场及其在动态不确定环境下机器人运动规划中的应用[J].中国科学(E辑),2004,34(9):1021-1036. 被引量:11
  • 2张建英,赵志萍,刘暾.基于人工势场法的机器人路径规划[J].哈尔滨工业大学学报,2006,38(8):1306-1309. 被引量:83
  • 3张建英,刘暾.基于人工势场法的移动机器人最优路径规划[J].航空学报,2007,28(B08):183-188. 被引量:44
  • 4龚伟,石青云,程民德.数字空间中的数学形态学-理论及应用[M].北京:科学出版社,1997:429-433.
  • 5KHATIB O. Real-time Obstacle Avoidance for Manipulators and Mobile Robots[J]. Int. J. Robot. Res. , 1986, 5(1) : 90 -98.
  • 6KOREN Y, BORENSTEIN J. Potential Field Methods and Their Inherent Limitations for Mobile Robot Navigation[ C]//In Proc. IEEE Conf. Robotics and Automation: Sacramento, CA, 1991: 1398 - 1404.
  • 7GE S. S. , CUI Y. J. Newpotential Functions for Mobile Robot Path Planning [J]. IEEE Trans. Robotic. Autom., 2000, 16 (5) : 615 -620.
  • 8HADDAD H. , KHATIB M. , LACROIX S. and CHATILA, R. Reactive Navigation in Outdoor Environments Using Potential Fields [ C ]//IEEE International Conference on Robotics and Automation, 1998,2 : 1232 - 1237.
  • 9GULDNER J. , UTKIN V. I.. Sliding Mode Control for Gradient Tracking and Robot Navigation Using Artificial Potential Fields [J]. IEEE Trans. Robot. Automat., 1995, 11(4): 247-254.
  • 10WARREN C.W. Global Path Planning Using Artificial Potential fields [ C ]//In Prec. IEEE Conf. Robotics and Automation, 1989 : 316 -321.

共引文献120

同被引文献58

引证文献6

二级引证文献30

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部