基于视觉导航的移动机器人自主运动路径规划方案分析

Research on Path Planning of Autonomous Mobile Robot Based on Vision sensing system

  • 摘要: 在未知环境下,机器人很难快速的获取周边环境信息并建立实时环境地图,实现自主运行。为解决该问题,本文提出基于视觉导航的方法,利用全景摄像机作为机器人的视觉传感器系统,采集环境信息,将彩色地图进行HSI空间下模糊聚类图像分割,得到环境二值图像,然后将图像进行栅格化处理来构建环境地图,运用8方向连接的Dijkstra进行全局路径规划,计算出最优路径,从而实现移动机器人的快速、自主运动。经过仿真实验证明,该方法有效且可行。

     

    Abstract: It is very difficult for the robot to obtain the surrounding environment information and establish a real-time environment map to achieve autonomous operation quickly in the unknown environment.To solve the problem,this paper presents a method based on visual navigation,which use the panoramic camera as a robot vision sensor system to collect environmental information and use the fuzzy clustering image segmentation to division the color map in HSI space that get the binary image.Then build the environment map,and use the Dijkstra method to calculate the global path planning and obtain the optimal path.Finally achieve the fast and autonomous movement of the mobile robot.The simulation experiments show that the method iS effective and feasible.

     

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