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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    Title :

    THREAT ASSESSMENT OF UNMANNED AERIAL SYSTEMS USING MACHINE LEARNING


    Additional title:

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


    Contributors:

    Publication date :

    2023-04-12


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

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



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