Title | ||
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Trajectory Generation For Constant Velocity Target Motion Estimation Using Monocular Vision |
Abstract | ||
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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 real-time paths that achieve a minimum uncertainty bound in fixed time or a desired uncertainty bound in minimum time. |
Year | DOI | Venue |
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2003 | 10.1109/ROBOT.2003.1242128 | 2003 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS |
Keywords | Field | DocType |
monocular vision,motion estimation,computer vision,breadth first search,real time,design method | Monocular vision,Computer vision,Search algorithm,Control theory,Pyramid,Artificial intelligence,Motion estimation,Minimum time,Mathematics,Trajectory,Covariance,Estimator | Conference |
Volume | Issue | ISSN |
3 | 1 | 1050-4729 |
Citations | PageRank | References |
9 | 1.12 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eric W. Frew | 1 | 182 | 26.73 |
Stephen M. Rock | 2 | 539 | 47.97 |