Science & Engineering Research Support soCiety (SERSC)
In this paper, the authors present a mobile robot navigation method based on human walking trajectory in intelligent space. Unlike the traditional navigation methods, the proposed method enables the robot to walk a meaningful path, which reflects human activity patterns in daily life. Human walking trajectories are extracted using multiple distributed vision cameras in intelligent space. To group trajectories with the same direction, trajectory similarity measurement is implemented. Key points on human walking trajectories and typical transfer points are utilized to build a topological map.