This technology provides systems and methods for a vehicle computing system (VCS) for autonomous driving. This VCS furnishes End-to-End models that provide sensing, prediction, planning, decision-making, and control functions. The VCS executes vehicle control algorithms, trains general AI models, and makes inferences from those AI models. Specifically, a computing subsystem of the VCS performs computation methods that train a tensor-centered model and/or make inferences from a tensor-centered model. Additionally, the VCS gathers data from a roadside unit network, an onboard unit, a cloud platform, a traffic control center/traffic control unit, and a traffic operations center (TOC), thereby enhancing the safety and efficiency of autonomous driving.


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    Title :

    VEHICLE COMPUTING SYSTEM FOR AUTONOMOUS DRIVING


    Contributors:
    RAN BIN (author) / LIANG BINGJIE (author) / ZHAO YAN (author) / WANG ZHIYU (author) / CHENG YANG (author) / LI SHEN (author) / ZHANG ZHEN (author) / TAN HUACHUN (author) / CHEN TIANYI (author) / DONG SHUOXUAN (author)

    Publication date :

    2025-05-08


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    H04W WIRELESS COMMUNICATION NETWORKS , Drahtlose Kommunikationsnetze / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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