Obstacle detection using adaptive color segmentation and planar projection stereopsis for mobile robots

Obstacle detection is a key component of autonomous systems. In this paper, we describe an obstacle detection methodology which combines two complimentary methods: adaptive color segmentation and planar projection stereopsis, This algorithm is particularly suited for environments in which the terrain is relatively flat and of roughly the same color. We show results in applying this method to detect some indoor obstacles.