The technology described herein provides a cloud-based learning system (CLS) for end to end and/or sequential models for autonomous driving. The CLS provides high-performance computation capability that allocates computation power for sensing, prediction, planning and decision making, and control at a microscopic level, a mesoscopic level, and/or a macroscopic level. The CLS can acquire computation resources from a cloud system and from one or more of a roadside unit network, a network of vehicles comprising onboard units, a traffic control center/traffic control unit, or a traffic operations center. Additionally, the CLS is configured to optimize and generate detailed customized information and time-sensitive control instructions for vehicles by processing data through learning models to fulfill driving tasks and provide operations and maintenance services for vehicles.


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    Title :

    CLOUD-BASED LEARNING SYSTEM (CLS) FOR AUTONOMOUS DRIVING


    Contributors:
    RAN BIN (author) / YANG QIAO (author) / LUO KAIJIE (author) / LIANG BINGJIE (author) / ZHAO YAN (author) / CHENG YANG (author) / YAO YIFAN (author) / WU KESHU (author) / CHEN TIANYI (author) / SHI HAOTIAN (author) ... [more]

    Publication date :

    2025-07-31


    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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