A master thesis from Aalborg University
Real-Time tracking system using Single-Constraints-At- A-Time and Unscented Kalman Filter
Author(s)
Term
4. term
Publication year
2010
Submitted on
2010-06-03
Pages
64 pages
Abstract
This master thesis document aims at improving the accuracy of a painting robot system using vision tracking technologies. The current system does not fulfill industrial expectation in terms of accuracy and occlusion robustness. A solution is proposed using the Unscented Kalman Filter and a Single-Constraint-At-A-Time approach. The system is first entirely described and methods are analyzed. Then, the SCAAT approach and the Unscented Kalman Filter are described.
Documents
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