A method includes obtaining multiple data items from multiple heterogeneous data sources, where the multiple data items relate to an unmanned aerial system (UAS) flying in an area. The method also includes processing the multiple data items using a machine learning algorithm to determine a threat level of the UAS to one or more targets in the area. The method further includes outputting the threat level of the UAS for review by a user.


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    Titel :

    THREAT ASSESSMENT OF UNMANNED AERIAL SYSTEMS USING MACHINE LEARNING


    Weitere Titelangaben:

    BEDROHUNGSBEWERTUNG UNBEMANNTER LUFTSYSTEME MITTELS MASCHINENLERNEN
    ÉVALUATION DE MENACE DE SYSTÈMES D'AÉRONEFS SANS PILOTE À L'AIDE D'UN APPRENTISSAGE MACHINE


    Beteiligte:
    MORO JR RICHARD A (Autor:in) / JOHNSON ERIK D (Autor:in) / DAI LIYI (Autor:in) / PAYNE DAVID W (Autor:in)

    Erscheinungsdatum :

    2023-04-12


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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