In this paper, we propose a method for detecting and tracking moving obstacles in an outdoor environment. Our system clusters ranges observed by a laser range-finder. Moving obstacles are not estimated from clusters directly, we assume clusters as candidates of moving obstacles. The system recognizes moving obstacles in the candidates to track them with Extended Kalman Filter. The effectiveness of the proposed method is proved through experiments in outdoor environments.
