We describe a method for training, inferencing, and a system, for controlling a swarm of unmanned aerial vehicles (UAV). The method comprises introducing a plurality of real time, past and/or simulated records documenting a plurality of sensor readings generated based on measurements taken at a region associated with an emergency event to a system. The system comprises at least one processor adapted to execute code and at least one memory storing a machine learning based model. The system produces code instructions for controlling a plurality of UAVs for presenting at the region a plurality of visual navigation instructions.


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    Title :

    DRONE FORMATION FOR TRAFFIC COORDINATION AND CONTROL


    Contributors:
    SHARON GIL (author) / GUY NILI (author)

    Publication date :

    2021-08-19


    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 / B64C AEROPLANES , Flugzeuge



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