Methods and systems for predicting behavior of a dynamic object of interest in an environment of a vehicle are described. Time series feature data are received, representing features of objects in the environment, including a dynamic object of interest. The feature data are categorized into one of a plurality of defined object categories. Each categorized set of data is encoded into a respective categorical representation that represents temporal change of features within the respective defined object category. The categorical representations are combined into a single shared representation. A categorical interaction representation is generated based on the single shared representation that represents contributions of temporal change in each defined object category to a final time step of the shared representation. The categorical interaction representation together with data representing dynamics of the objects in the environment and data representing a state of the vehicle are used to generate predicted data representing a predicted future behavior of the dynamic object of interest.


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    Titel :

    METHODS AND SYSTEMS FOR PREDICTING DYNAMIC OBJECT BEHAVIOR


    Beteiligte:
    RASOULI AMIR (Autor:in) / ROHANI MOHSEN (Autor:in)

    Erscheinungsdatum :

    2022-05-19


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

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



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