Abstract
This paper describes a method for tracking and identification of moving objects with horizontal laser range finders. As the proposed method tracks moving objects with frameworks of SJPDAFs (Sample-based Joint Probabilistic Data Association Filters), it is robust against occlusions or false segmentations. The proposed method can classify moving objects as a car, a group of pedestrians, and a false positive. In addition, it is applied to tracking of pedestrians who pass through doors.
