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Machine-vision based obstacle avoidance system for robot system

Cheng-Pei Tsai, Chin-Tun Chuang, Ming-Chih Lu, Wei‐Yen Wang, Shun‐Feng Su, Shyang‐Lih Chang

Year
2013
Citations
4

Abstract

In this paper, we proposed a machine-vision based obstacle avoidance system for robot system by using single camera, it could accomplished an obstacle avoidance and path planning. The structure of this system is using a camera and two laser projectors fixed on same base. When robot get into a unknown environment, it will stop and capture an image, the system use several simple image process steps to recognize the obstacle. The system will rotate the base to project the laser points on obstacle, the distance measurement results calculated by IBDMS method, when the system calculated the distance between obstacle and robot, it could planned the path to achieve the autonomous patrol.

Keywords

Obstacle avoidanceObstacleComputer visionArtificial intelligenceRobotComputer scienceMotion planningProcess (computing)Machine visionPath (computing)

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