Estimating Satellite Pose And Motion Parameters Using A Novelty Filter And Neural Net Tracker

Andrew J. Lee; David Casasent; Pieter Vermeulen; Etienne Barnard

doi:10.1117/12.951511

29 June 1989 Estimating Satellite Pose And Motion Parameters Using A Novelty Filter And Neural Net Tracker

Andrew J. Lee, David Casasent, Pieter Vermeulen, Etienne Barnard

Proceedings Volume 1053, Optical Pattern Recognition; (1989) https://doi.org/10.1117/12.951511
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

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.

Citation Download Citation

Andrew J. Lee, David Casasent, Pieter Vermeulen, and Etienne Barnard "Estimating Satellite Pose And Motion Parameters Using A Novelty Filter And Neural Net Tracker", Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); https://doi.org/10.1117/12.951511

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