This paper discusses the evaluation method of Airborne Collision Avoidance System (ACAS) algorithms. The risk ratio analysis is discussed using probability theory. Natural spline functions are presented as a tool for radar data smoothing and interpolation. Finally, the risk ratios of sample situations are calculated.


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    Titel :

    A numerical evaluation method of the revised ACAS algorithms using a smoothed spline interpolation


    Beteiligte:
    Shirakawa, M. (Autor:in) / Sumiya, Y. (Autor:in) / Ozeki, S. (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    651433 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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