The Rotorcraft Obstacle Avoidance Simulation Environment (ROSE) research aims toward the implementation and testing of machine learning algorithms to provide autonavigation and obstacle avoidance capabilities to rotorcraft. The ROSE system includes autonomous navigation algorithms, sensor models, flight models, and a cockpit simulator to support analysis, training, and risk-reduction efforts.


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    Titel :

    Rotorcraft Obstacle Avoidance Simulation Environment (ROSE)


    Beteiligte:
    Gaston, Josh (Autor:in) / Grigorian, Eric (Autor:in) / Smithson, Zach (Autor:in) / Trautman, William L. (Autor:in)


    Erscheinungsdatum :

    2019-07-01


    Format / Umfang :

    1263035 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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    Menon, P. K. A. / Chatterji, G. B. / Sridhar, B. | NTRS | 1991


    Vision-based optimal obstacle-avoidance guidance for rotorcraft

    MENON, P. / CHATTERJI, G. / SRIDHAR, B. | AIAA | 1991



    Simulation Evaluation of a Pilot Interface with an Automated Rotorcraft Obstacle Avoidance System

    Coopenbarger / American Helicopter Society | British Library Conference Proceedings | 1993