Title
Trajectory Generation For Constant Velocity Target Motion Estimation Using Monocular Vision
Abstract
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
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. Frew118226.73
Stephen M. Rock253947.97