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.
NEURAL NETWORK-BASED IMAGE TARGET TRACKING BY AERIAL VEHICLE
2020-04-30
Patent
Electronic Resource
English
An Unmanned Aerial Vehicle (UAV) Tracking System Based On Neural Network
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