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25 May 2005 Database integrity monitoring for synthetic vision systems using machine vision and SHADE
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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.
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Eric G. Cooper and Steven D. Young "Database integrity monitoring for synthetic vision systems using machine vision and SHADE", Proc. SPIE 5802, Enhanced and Synthetic Vision 2005, (25 May 2005); https://doi.org/10.1117/12.605706
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