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.
Database integrity monitoring for synthetic vision systems using machine vision and SHADE
Enhanced and Synthetic Vision 2005 ; 2005 ; Orlando,Florida,United States
Proc. SPIE ; 5802
2005-05-25
Conference paper
Electronic Resource
English
Database integrity monitoring for synthetic vision systems using machine vision and SHADE [5802-17]
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