Methods and systems are described herein for generating composite data streams. A data stream processing system may receive multiple data streams from, for example, multiple unmanned vehicles and determine, based on the type of data within each data stream, a machine learning model for each data stream for processing the type of data. Each machine learning model may receive the frames of a corresponding data stream and output indications and locations of objects within those data streams. The data stream processing system may then generate a composite data stream with indications of the detected objects.


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    Titel :

    ARCHITECTURE FOR DISTRIBUTED ARTIFICIAL INTELLIGENCE AUGMENTATION


    Beteiligte:
    FALENDYSZ ANDREW D (Autor:in) / BOWMAN WILLIAM S (Autor:in) / SUMMER MATTHEW D (Autor:in) / HEDMAN DANIEL R (Autor:in) / WAGONER SEAN (Autor:in)

    Erscheinungsdatum :

    27.07.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06V / B64C AEROPLANES , Flugzeuge / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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