Provided are methods for motion prediction in an autonomous vehicle using fused synthetic and camera images. The method can include obtaining data pairs, each of which reflects data corresponding to a synthetic image representing a birds-eye-view of an area around a vehicle and identifying an object, and data corresponding to a camera image depicting the object. A machine learning model can be trained based on the data pairs to result in a trained model that predicts motion of the object within the data pair based on the synthetic image and camera image in the data pair. Systems and computer program products are also provided.


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    Titel :

    MOTION PREDICTION IN AN AUTONOMOUS VEHICLE USING FUSED SYNTHETIC AND CAMERA IMAGES


    Beteiligte:
    WOLFF ERIC MCKENZIE (Autor:in) / BEIJBOM OSCAR (Autor:in) / LANG ALEX (Autor:in) / VORA SOURABH (Autor:in) / HELOU BASSAM (Autor:in) / GRIGORE ELENA CORINA (Autor:in) / JIANG CHENG (Autor:in)

    Erscheinungsdatum :

    2023-11-30


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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