Wide baseline obstacle detection and localization

This paper studies the problem of an autonomous robot equipped with a single camera and that must locate the obstacles on a ground plane. The algorithm proposed here proceeds by first matching feature points on widely separated images of the work area using an overhead view transformation. The homography thus obtained is used to estimate the camera motion parameters. Obstacles are then located through a second matching phase.