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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    Title :

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


    Contributors:
    Shirakawa, M. (author) / Sumiya, Y. (author) / Ozeki, S. (author)


    Publication date :

    2000-01-01


    Size :

    651433 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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