A method is for predicting movement of at least one traffic-related object based on observations of the surroundings of the object. The method includes mapping an observation of the surroundings at a first time by a trained encoder network to a representation with reduced dimensionality. The method also includes, based on a first action performed by the object at the first time and the representation, using at least one trained prediction network to determine a first representation prediction of the representation to which a future observation is likely to be mapped by the trained encoder network at a first future time, and/or determine a first action prediction of a second action that the object is likely to perform at the first future time. The method also includes determining a first dynamic state prediction for a dynamic state of the object at the first future time.


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    Titel :

    Movement Prediction for Road Users


    Beteiligte:
    JANJOS FARIS (Autor:in) / DOLGOV MAXIM (Autor:in)

    Erscheinungsdatum :

    22.08.2024


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06V




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