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Proceedings Paper

Database integrity monitoring for synthetic vision systems using machine vision and SHADE
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Paper Abstract

In an effort to increase situational awareness, the aviation industry is investigating technologies that allow pilots to visualize what is outside of the aircraft during periods of low-visibility. One of these technologies, referred to as Synthetic Vision Systems (SVS), provides the pilot with real-time computer-generated images of obstacles, terrain features, runways, and other aircraft regardless of weather conditions. To help ensure the integrity of such systems, methods of verifying the accuracy of synthetically-derived display elements using onboard remote sensing technologies are under investigation. One such method is based on a shadow detection and extraction (SHADE) algorithm that transforms computer-generated digital elevation data into a reference domain that enables direct comparison with radar measurements. This paper describes machine vision techniques for making this comparison and discusses preliminary results from application to actual flight data.

Paper Details

Date Published: 25 May 2005
PDF: 10 pages
Proc. SPIE 5802, Enhanced and Synthetic Vision 2005, (25 May 2005); doi: 10.1117/12.605706
Show Author Affiliations
Eric G. Cooper, NASA Langley Research Ctr. (United States)
Steven D. Young, NASA Langley Research Ctr. (United States)

Published in SPIE Proceedings Vol. 5802:
Enhanced and Synthetic Vision 2005
Jacques G. Verly, Editor(s)

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