Demand for small unmanned aircraft systems (sUAS) continues to increase in diversity and volume, however applications are currently limited by regulatory requirements for visual observation or special use waivers. For full integration of autonomous sUAS in the national airspace system, a collision avoidance system must be implemented to enable detection and avoidance of air traffic. Building upon collision avoidance systems development over the past decade for large UAS and manned aircraft, ACAS sXu provides such a capability, enabling autonomous and decentralized sUAS collision avoidance capability against manned aircraft, UAS, and other sUAS.


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    Titel :

    ACAS sXu: Robust Decentralized Detect and Avoid for Small Unmanned Aircraft Systems


    Beteiligte:
    Alvarez, Luis E. (Autor:in) / Jessen, Ian (Autor:in) / Owen, Michael P. (Autor:in) / Silbermann, Joshua (Autor:in) / Wood, Paul (Autor:in)


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    1694039 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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