Uncertainty sets for dynamic localization of mobile robots

Abstract

The paper addresses the localization problem for a mobile robot navigating in an unstructured outdoor environment. A novel technique is introduced, for computing an estimate of the position of the robot and the related uncertainty region, in the presence of visual angle measurements affected by bounded errors. The proposed set membership estimation procedure exploits the structure of the static set estimator, to solve recursively the dynamic localization problem.