Application of image process and distance computation to WMR obstacle avoidance and parking control

Abstract

This paper presents the use of camera, sonar sensor, and localization system on a wheeled mobile robot (WMR) for obstacle avoidance and parking control. The camera provides image of the surrounding. Distance between the WMR and object or obstacle can be obtained by image process and distance computation algorithm. Fuzzy system and genetic algorithm are integrated in the control scheme that can effectively drive the WMR without complicated mathematical equations. Sonar sensors detect safety distance for the WMR. The localization system provides coordinate position of the WMR. The WMR can perform obstacle avoidance and garage parking successfully.