Design and Verification of a Stereoscopic Imager for Use in Space Close Proximity Operations
Stereoscopic imaging presents an exciting, low-cost alternative to traditional methods of relative navigation for small satellites. This paper discusses the development and testing of a fast, effective computer vision algorithm for such a case. A brief overview of the MR SAT microsatellite and its stereoscopic imaging hard-ware is presented, followed by an in-depth discussion of the software development. The FAST, SURF, and FLANN computer vision algorithms employed in the imaging algorithm are detailed, and methods for reducing navigational errors in the space environment are developed. Results from laboratory testing and Systems Tool Kit (STK) simulations are presented, and imager performance is evaluated.
A. Reynolds and H. J. Pernicka, "Design and Verification of a Stereoscopic Imager for Use in Space Close Proximity Operations," Advances in the Astronautical Sciences, vol. 169, pp. 47-58, Univelt Inc., Feb 2019.
42nd AAS Rocky Mountain Section Guidance and Control Conference (2019: Jan. 31-Feb. 6, Breckenridge, CO)
Mechanical and Aerospace Engineering
Keywords and Phrases
Computer vision; Navigation; Small satellites; Stereo image processing, Computer vision algorithms; Development and testing; Imager performance; Imaging algorithm; Laboratory testing; Relative navigation; Space environment; Stereoscopic imaging, Software design
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Article - Conference proceedings
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01 Feb 2019