Uncertainty in atmospheric winds represents one of the primary sources of landing error in airdrop systems. In this work, a ground-based LIDAR system samples the wind field at discrete points above the target and transmits real-time data to approaching autonomous airdrop systems. In simulation and experimentation, the inclusion of a light detection and ranging (LIDAR) system showed a maximum of 40% improvement over unaided autonomous airdrop systems. Wind information nearest ground level has the largest impact on improving accuracy.


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    Titel :

    Utilizing ground-based LIDAR measurements to aid autonomous airdrop systems


    Beteiligte:
    Cacan, Martin (Autor:in) / Scheuermann, Edward (Autor:in) / Ward, Michael (Autor:in) / Costello, Mark (Autor:in) / Slegers, Nathan (Autor:in)


    Erscheinungsdatum :

    01.08.2017


    Format / Umfang :

    16 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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