DocumentCode
3437698
Title
A Dynamics Estimation Filter for Pose and Motion Estimation in Orbit
Author
McTavish, D.J. ; Okouneva, G. ; Enright, J. ; Schumacher, R.
Author_Institution
Ryerson Univ., Toronto
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
203
Lastpage
203
Abstract
The fundamental task of a space vision system for rendezvous of satellites on-orbit is the real-time determination of the motion of the target satellite as observed from the chaser spacecraft. The usual task of a vision system is to return a snapshot and measurement of the target´s position and orientation at a moment in time. Augmenting this architecture with an extended Kalman filter, incorporating a dynamic model and the ability to propagate motion, synthesizes a system that is more efficient and robust.
Keywords
Kalman filters; computer vision; motion estimation; pose estimation; chaser spacecraft; dynamics estimation filter; extended Kalman filter; motion estimation; pose estimation; space vision system; Extraterrestrial measurements; Filters; Machine vision; Motion estimation; Position measurement; Real time systems; Robustness; Satellites; Space vehicles; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision and Image Processing Conference, 2007. IMVIP 2007. International
Conference_Location
Kildare
Print_ISBN
978-0-7695-2887-8
Type
conf
DOI
10.1109/IMVIP.2007.39
Filename
4318157
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