A system for generating a control action for an ego-vehicle based on an action prediction for each participant within an operating environment is achieved through the generation of a time-varying dynamic causal graph. The system comprises a memory storing one or more instructions and a processor executing one or more stored instructions. The processor is configured to generate the time-varying dynamic causal graph of one or more participants within the operating environment, including the ego-vehicle, one or more agents, and one or more potential obstacles. Additionally, the processor generates the action prediction for each participant within the operating environment based on the dynamic causal graph. Furthermore, the processor generates the control action for the ego-vehicle based on the action prediction for each participant within the operating environment.


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    Title :

    DYNAMIC CAUSAL GRAPH PREDICTION


    Contributors:
    XU YI (author) / SACHDEVA ENNA (author) / AGARWAL NAKUL (author) / LEE KWONJOON (author) / DARIUSH BEHZAD (author)

    Publication date :

    2025-06-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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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