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A method for stereo-vision based tracking for robotic applications

conference contribution
posted on 2023-01-27, 04:12 authored by Pubudu PathiranaPubudu Pathirana, A N Bishop, A V Savkin, S W Ekanayake, T J Black
Vision based tracking of an object using the ideas of perspective projection inherently consists of nonlinearly modelled measurements although the underlying dynamic system that encompasses the object and the vision sensors can be linear. Based on a necessary stereo vision setting, we introduce an appropriate measurement conversion techniques which subsequently facilitate using a linear filter. Linear filter together with the aforementioned measurement conversion approach conforms a robust linear filter that is based on the set values state estimation ideas; a particularly rich area in the robust control literature. We provide a rigorously theoretical analysis to ensure bounded state estimation errors formulated in terms of an ellipsoidal set in which the actual state is guaranteed to be included to an arbitrary high probability. Using computer simulations as well as a practical implementation consisting of a robotic manipulator, we demonstrate our linear robust filter significantly outperforms the traditionally used extended Kalman filter under this stereo vision scenario. © 2008 IEEE.

History

Pagination

1298 - 1303

ISSN

0743-1546

eISSN

2576-2370

ISBN-13

9781424431243

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

Proceedings of the IEEE Conference on Decision and Control