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Vision Algorithm for the Solar Aspect System of the HEROES MissionThis work covers the design and test of a machine vision algorithm for generating high-accuracy pitch and yaw pointing solutions relative to the sun for the High Energy Replicated Optics to Explore the Sun (HEROES) mission. It describes how images were constructed by focusing an image of the sun onto a plate printed with a pattern of small fiducial markers. Images of this plate were processed in real time to determine relative position of the balloon payload to the sun. The algorithm is broken into four problems: circle detection, fiducial detection, fiducial identification, and image registration. Circle detection is handled by an "Average Intersection" method, fiducial detection by a matched filter approach, identification with an ad-hoc method based on the spacing between fiducials, and image registration with a simple least squares fit. Performance is verified on a combination of artificially generated images, test data recorded on the ground, and images from the 2013 flight
Document ID
20150000216
Document Type
Conference Paper
Authors
Cramer, Alexander (NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
January 6, 2015
Publication Date
March 1, 2014
Subject Category
Computer Programming and Software
Report/Patent Number
GSFC-E-DAA-TN18511
Meeting Information
IEEE Aerospace Conference(Big Sky, MT)
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
Solar Aspect

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