Trajectory generation for constant velocity target motion estimation using monocular vision
نویسندگان
چکیده
The performance of monocular vision based target tracking is a strong function of camera motion. Without motion, the target estimation problem is unsolvable. By designing the camera path, the best possible estimator performance can be achieved. This paper describes a trajectory design method based on the predicted target state error covariance. This method uses a pyramid, breadth-first search algorithm to generate realtime paths that achieve a minimum uncertainty bound in fixed time or a desired uncertainty bound in minimum time.
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