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Proceedings Paper

Estimating Satellite Pose And Motion Parameters Using A Novelty Filter And Neural Net Tracker
Author(s): Andrew J. Lee; David Casasent; Pieter Vermeulen; Etienne Barnard
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Paper Abstract

A system for determining the position, orientation and motion of a satellite with respect to a robotic spacecraft using video data is advanced. This system utilizes two levels of pose and motion estimation: an initial system which provides coarse estimates of pose and motion, and a second system which uses the coarse estimates and further processing to provide finer pose and motion estimates. The present paper emphasizes the initial coarse pose and motion estimation subsystem. This subsystem utilizes novelty detection and filtering for locating novel parts and a neural net tracker to track these parts over time. Results of using this system on a sequence of images of a spin stabilized satellite are presented.

Paper Details

Date Published: 29 June 1989
PDF: 15 pages
Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); doi: 10.1117/12.951511
Show Author Affiliations
Andrew J. Lee, Carnegie Mellon University (United States)
David Casasent, Carnegie Mellon University (United States)
Pieter Vermeulen, Carnegie Mellon University (United States)
Etienne Barnard, Carnegie Mellon University (United States)

Published in SPIE Proceedings Vol. 1053:
Optical Pattern Recognition
Hua-Kuang Liu, Editor(s)

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