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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    Titel :

    Database Integrity Monitoring for Synthetic Vision Systems Using Machine Vision and SHADE


    Beteiligte:
    E. G. Cooper (Autor:in) / S. D. Young (Autor:in)

    Erscheinungsdatum :

    2005


    Format / Umfang :

    10 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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    Cooper, E. G. / Young, S. D. / Society of Photo-optical Instrumentation Engineers | British Library Conference Proceedings | 2005



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