The technology described herein provides systems and methods for an Autonomous Vehicle Cloud Control System (AVCCS) with a World Model. The AVCCS comprises a cloud-based platform, a communication module, and/or an onboard unit (OBU). The AVCCS leverages generative models, predictive models, and reinforcement learning methods to generate and synthesize comprehensive information at real-time, short-term, and long-term scales for sensing, transportation behavior prediction and management, planning and decision-making, and/or vehicle control. The comprehensive information generated from the World Model comprises vehicle surrounding information, weather information, vehicle attribute data, traffic state information, road information, and incident information. Additionally, the AVCCS is configured to provide one or more of data fusion, sensing, prediction, planning, decision-making, and control functions to generate detailed customized information at microscopic, mesoscopic, and macroscopic levels, and to generate time-sensitive control instructions for vehicles to fulfill driving tasks and provide operations and maintenance services.


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    Title :

    AUTONOMOUS VEHICLE CLOUD CONTROL SYSTEM WITH A WORLD MODEL


    Contributors:
    RAN BIN (author) / ZHENG YUAN (author) / WANG CAN (author) / CHENG YANG (author) / YAO YIFAN (author) / WU KESHU (author) / CHEN TIANYI (author) / SHI HAOTIAN (author) / LI SHEN (author) / SHI KUNSONG (author) ... [more]

    Publication date :

    2025-08-07


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

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



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