Both obstacle and pathplanning are of significance for autonomous visualnavigation of a mobilerobot which is able to realize free movement and obstacle *** this paper,a scheme of obstacledetection which is based o...
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Both obstacle and pathplanning are of significance for autonomous visualnavigation of a mobilerobot which is able to realize free movement and obstacle *** this paper,a scheme of obstacledetection which is based on binocular vision to identify obstacles is constructed and it is combined with improved A* algorithm for obstacle avoidance motion for mobilerobot ***,a binocular vision system to detect the robot's perception of the environment is used and the visual information is *** a Gaussian filter is used to reduce the noise in the image,and the grayscale image is obtained through the binocular vision *** gray scale map is matched with SAD(Sum of Absolute Differences) in order to obtain the disparity image with ***,the location information of the obstacle is extracted through the environmental depth information contained in the disparity image,and the improved A* algorithm is used as the pathplanning algorithm in this paper,which can modify the path of the planning ***,the detection experiment of the robotvisualobstacle avoidance system was established and the optimal path was *** examples show that,the obstacle avoidance system can complete the task of obstacledetection and give a better path for the mobilerobot.
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