This paper presents a path prediction model for obstacle avoidance. A geodesics model is used to obtain the desired path in Cartesian space. The distance between the start target point (and end target point) and the surface of an obstacle is minimized to determine the boundary points of a geodesic across the surface of the obstacle. The model then numerically solves for a geodesic curve between the two boundary points of the geodesic on the surface of the obstacle. The model offsets the resulting discrete points on the geodesic in the positive normal direction (outside of the obstacle) to form a path of motion around the obstacle.


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    Title :

    A Geodesics-Based Model for Obstacle Avoidance


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    2005 Digital Human Modeling for Design and Engineering Symposium ; 2005



    Publication date :

    2005-06-14




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English