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Dissertation/Thesis Abstract

Computer vision for dual spacecraft proximity operations – A feasibility study
by Stich, Melanie Katherine, M.S., University of California, Davis, 2015, 135; 1604072
Abstract (Summary)

A computer vision-based navigation feasibility study consisting of two navigation algorithms is presented to determine whether computer vision can be used to safely navigate a small semi-autonomous inspection satellite in proximity to the International Space Station. Using stereoscopic image-sensors and computer vision, the relative attitude determination and the relative distance determination algorithms estimate the inspection satellite's relative position in relation to its host spacecraft. An algorithm needed to calibrate the stereo camera system is presented, and this calibration method is discussed. These relative navigation algorithms are tested in NASA Johnson Space Center's simulation software, Engineering Dynamic On-board Ubiquitous Graphics (DOUG) Graphics for Exploration (EDGE), using a rendered model of the International Space Station to serve as the host spacecraft. Both vision-based algorithms proved to attain successful results, and the recommended future work is discussed.

Indexing (document details)
Advisor: Robinson, Stephen
Commitee: Eke, Fidelis, Joshi, Sanjay
School: University of California, Davis
Department: Mechanical and Aerospace Engineering
School Location: United States -- California
Source: MAI 55/02M(E), Masters Abstracts International
Subjects: Aerospace engineering, Mechanical engineering, Computer science
Keywords: Computer vision, Inspection, Relative navigation, Satellite, Semi-autonomous
Publication Number: 1604072
ISBN: 978-1-339-26095-2
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