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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    Title :

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


    Contributors:

    Conference:

    Enhanced and Synthetic Vision 2005 ; 2005 ; Orlando,Florida,United States


    Published in:

    Publication date :

    2005-05-25





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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