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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    Titel :

    CLOUD-BASED LEARNING SYSTEM (CLS) FOR AUTONOMOUS DRIVING


    Beteiligte:
    RAN BIN (Autor:in) / YANG QIAO (Autor:in) / LUO KAIJIE (Autor:in) / LIANG BINGJIE (Autor:in) / ZHAO YAN (Autor:in) / CHENG YANG (Autor:in) / YAO YIFAN (Autor:in) / WU KESHU (Autor:in) / CHEN TIANYI (Autor:in) / SHI HAOTIAN (Autor:in) ... [mehr]

    Erscheinungsdatum :

    31.07.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

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



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