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基于机器视觉和A*算法的迷宫机器人路径规划
引用本文:周毅,崔刚.基于机器视觉和A*算法的迷宫机器人路径规划[J].微计算机信息,2010(8).
作者姓名:周毅  崔刚
作者单位:北京工业大学电子信息与控制工程学院;
基金项目:国家自然科学基金(60774077); 教育部博士学科点专项科研基金资助项目(20050005002)
摘    要:针对迷宫机器人路径规划问题,以机器视觉和A*算法为基础,提出了一种新的迷宫机器人全局路径规划方法。该方法利用区域阀值分割对迷宫机器人系统采集的图像进行分析,结合A*算法逆向搜索全局最优路径。仿真结果表明,该方法实现简单,在复杂的迷宫环境下能有效地实现迷宫机器人路径规划。

关 键 词:迷宫机器人  路径规划  图像分割  A*算法  

Path planning for maze robot based on machine vision and A* algorithm
ZHOU Yi CUI Gang.Path planning for maze robot based on machine vision and A* algorithm[J].Control & Automation,2010(8).
Authors:ZHOU Yi CUI Gang
Affiliation:ZHOU Yi CUI Gang(College of Electrical Information & Control Engineering,Beijing University of Technology,Beijing 100124,China)
Abstract:This paper proposed a novel method of optimal path planning for maze robots based on machine vision and A search algorithm.This method included adopting image segmentation to analyze the environment information and searching the optimal path by using A algorithm which altered the search direction.The computer carried simulation experiment out for an example and the results show this method is feasible and effective.
Keywords:Maze agents  path planning  image segmentation  A algorithm  
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