移動ロボットのロバストな位置推定のための複数センサ統合に適したパーティクルフィルタの検討

抄録

To realize robust localization of mobile robot, it is important to improve method of integrating position information from various sensors whose dependence on environment is different. The authors have proposed selective sensor fusion system based on similarity of distributions using particle filter. This paper mention the result of experiment for evaluating the proposed method.