A technique performed by UAV delivery system includes: arriving by a UAV of over a destination area; capturing a plurality of aerial images of a scene at the destination area with an onboard camera system of the UAV while flying above the destination area, wherein the aerial images capture the scene from a plurality of UAV vantage points offset from each other; optimizing weights of a generative neural network (GNN) using at least some of the aerial images as a training dataset to encode a volumetric representation of the scene into the GNN, wherein the weights are optimized by an onboard processing system of the UAV; and communicating the GNN with the weights optimized to a backend datacenter in communication with the UAV to transmit the volumetric representation of the scene over which the UAV flew without transmitting the aerial images themselves to the backend datacenter.


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    Title :

    COMPRESSING A SCENE INTO A GENERATIVE NEURAL NETWORK FOR UAV SCENE ANALYSIS APPLICATIONS


    Contributors:

    Publication date :

    2025-02-06


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06V / B64U / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL



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