A computer system/method program obtains two sets of data, a first set comprising data corresponding to a synthetic image representing a birds-eye-view of an area generated based on sensor data of a vehicle in the area, wherein the synthetic image identifies an object in the area and a second data set corresponding a camera image representing a viewpoint of the vehicle in the area, wherein the camera image depicts the object. These two sets are used to train a machine leaming model including at least one neural network to process the sets of data and which accepts as input data from each of the data sets to provide as output a predicted motion of the object corresponding to the input data. The trained model is then transmitted to a destination vehicle configured to apply the trained model to sensor data of the destination vehicle to predict motion of a target object identified within the sensor data.


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    Title :

    Motion prediction in an autonomous vehicle using fused synthetic and camera images


    Contributors:

    Publication date :

    2025-05-14


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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 / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL



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    Motion prediction in an autonomous vehicle using fused synthetic and camera images

    WOLFF ERIC MCKENZIE / BEIJBOM OSCAR / LANG ALEX et al. | European Patent Office | 2025

    Free access

    Motion prediction in an autonomous vehicle using fused synthetic and camera images

    ERIC MCKENZIE WOLFF / OSCAR BEIJBOM / ALEX LANG et al. | European Patent Office | 2023

    Free access