Heading prediction in unmanned ground vehicles by laser compass

This paper presents an on-line algorithm that provides accurate heading predictions for Unmanned Ground Vehicles (UGVs). The algorithm uses cross-correlation of SICK laser scans to improve the heading predictions from GPS. It was tested on our Centaur vehicles in outdoor urban environments and verified to provide accurate smooth heading predictions.