In the tracking of a moving ground target by small unmanned air vehicle (UAV) via camera vision, the target position and motion cannot be measured directly. Two different types of filters were assessed for their ability to estimate target motion, namely target velocity, directional heading on flat ground and distance from the UAV to target. The first filter is a nonlinear deterministic filter with stability guarantee. The second filter is based on nonlinear Kalman Filter technique. The application and performance of these two filters are presented, for simulated vision based target tracking.


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    Title :

    Vision Based Control and Target Range Estimation for Small Unmanned Aerial Vehicle


    Contributors:
    C. K. Quek (author)

    Publication date :

    2005


    Size :

    57 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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