A method for controlling an unmanned vehicle includes sensing a trigger event for updating a set of parameters of a remote neural network trained for a respective vehicle context of the unmanned vehicle, receiving from a remote server a set of updated parameters of the remote neural network that at least includes updated connection weights of the remote neural network, and transmitting the updated connection weights to the unmanned vehicle for the unmanned vehicle to operate according to a vehicle-based neural network applying the updated connection weights.


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    Title :

    NEURAL NETWORK-BASED IMAGE TARGET TRACKING BY AERIAL VEHICLE


    Contributors:
    DONG LAN (author)

    Publication date :

    2020-04-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / B64C AEROPLANES , Flugzeuge



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