Target Tracking Based Localization Assistance for Autonomous Personal Vehicle Systems

Abstract

Autonomous personal vehicle systems face many challenges due to complex and unpredictable environments. Thus, much of such platforms' computational resources are wasted on trying to localize in a given environment, slowing down the navigation phase. To overcome this problem we propose intelligent assistance, a novel scheme to assist autonomous mobile platforms by providing localization information externally. In the proposed scheme, the moving targets are detected using a laser range finder and camera based sensor unit and tracked using particle filter based technique. Calculated localization is fed back to the mobile platform as assistance information. The preliminary experiments show the validity of the proposed scheme for mobile robots.