Three ground avoidance algorithms were evaluated over a variety of mission profiles to determine their effectiveness in avoiding Controlled Flight into Terrain (CFIT) mishaps. Eight Air Force pilots flew nine data collection missions each while subjectively evaluating the system's nuisance warnings. During each mission one of the three algorithms was on-line while the other two were being flown off-line. This provided a mechanism to directly compare each algorithms' performance over identical flight conditions. There were 107 crashes in the experiment resulting in 107 crash plots used for the comparison. The crash plots indicated no significant difference between algorithm performance with regard to crash frequency. The algorithms did differ slightly when performance was evaluated over specific flight regimes, to include diving into flat terrain, level flight into rising terrain, and diving into rising terrain. Subjective evaluation of nuisance warnings indicate significant philosophical differences between the algorithms. Keywords: Ground collision avoidance system (GCAS), Ground clobber low altitude warning system, F-16 Aircraft, CFIT Avoidance.


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    Titel :

    Comparison of the General Dynamics Ground Clobber Algorithm with the GCAS (Ground Collision Avoidance System) and Laws Algorithms


    Beteiligte:
    M. A. DiPadua (Autor:in) / R. Geiselhart (Autor:in) / J. Gavern (Autor:in)

    Erscheinungsdatum :

    1988


    Format / Umfang :

    170 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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