Precise Vision-Based Tracking of an Autonomous Floor-Maintenance Vehicle

This paper describes a unique approach to the estimation and control of the trajectory of an autonomous floor-maintenance vehicle. Several requirements and challenges attend the floor-maintenance objective which are shown experimentally to be addressed using our new formulation. The procedure involves a combination of visual sensing, internal wheel rotation sensing, extended Kalman filtering, and teach/control operation.