The technology described herein provides systems and methods for an Automated Driving Cloud System (ADCS) for long-tail corner cases. The ADCS for long-tail corner cases comprises a cloud-based platform, a communication module, and/or an onboard unit (OBU). The ADCS leverages world models to provide automated driving functions including sensing, prediction, planning, decision making, and control at microscopic, mesoscopic, and/or macroscopic levels. The system is specifically designed to address long-tail corner cases, which include work zones, special events, reduced speed zones, incident detection, buffer spaces, and adverse weather conditions. Additionally, the ADCS is configured to provide safety and efficiency measures for vehicle operations and control at various special scales that require additional system coverage, including construction zones, special event zones, and special weather conditions. The ADCS enables adaptive and reliable automated driving in highly uncertain and dynamic environments.


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    Title :

    AUTOMATED DRIVING CLOUD SYSTEM FOR LONG-TAIL CORNER CASES


    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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