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
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;
Conference_Titel :
Machine Vision and Image Processing Conference, 2007. IMVIP 2007. International
Conference_Location :
Kildare
Print_ISBN :
978-0-7695-2887-8
DOI :
10.1109/IMVIP.2007.39