Disclosed is a method for cooperative decision-making on lane-changing behavior of an autonomous vehicle based on Bayesian game. On one hand, intelligent networked road perception and big data analysis are utilized to infer statistical characteristics of driving styles of a side vehicle under different time periods and traffic flow states, serving as prior predictions of driving styles of the side vehicle. On the other hand, the dynamic interaction behaviors during lane-changing processes of a specified vehicle and the side vehicle are continuously observed and posterior corrections are made to the driving styles of the side vehicle. When the specified vehicle generates a lane-changing willingness, probabilities of driving styles are iteratively predicted using Bayesian game principles. Comprehensive consideration of style and willingness probabilities yields a lane-changing probability of the specified vehicle. Once the lane-changing probability exceeds a threshold, a lane-changing activation instruction is issued.


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    Titel :

    METHODS FOR COOPERATIVE DECISION-MAKING ON LANE-CHANGING BEHAVIORS OF AUTONOMOUS VEHICLES BASED ON BAYESIAN GAME


    Beteiligte:
    SONG KANG (Autor:in) / GUO FAN (Autor:in) / XIE HUI (Autor:in)

    Erscheinungsdatum :

    24.10.2024


    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



    Methods for cooperative decision-making on lane-changing behaviors of autonomous vehicles based on bayesian game

    SONG KANG / GUO FAN / XIE HUI | Europäisches Patentamt | 2024

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