Autonomous driving represents the ultimate goal of future automobile development. As a collaborative application that integrates vehicles, road infrastructure, network and cloud, autonomous driving business requires a high-degree dynamic cooperation among multiple resources such as data, computing and communications that are distributed throughout the system. In order to meet the anticipated high demand for resources and performance requirements of autonomous driving, and to ensure the safety and comfort of the vehicle users and pedestrians, a top concern of autonomous driving is to understand the system requirements for resources and conduct an in-depth analysis of the autonomous driving business. In this context, this paper presents a comprehensive analysis of the typical business for autonomous driving and establishes an analysis model for five common capabilities, i.e. collection, transmission, intelligent computing, human-machine interaction (HMI), and security. The results presented in this paper represent an attempt to set a preliminary stage for subsequent resource demand analysis, which is conducive to the rapid development of the autonomous driving business and the precise matching of resources, thus providing fundamental support for the development and implementation of autonomous driving.


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    Titel :

    Service Analysis of Autonomous Driving


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Li, Feng (Autor:in) / Chen, Wai (Autor:in) / Liu, Wei (Autor:in) / Qie, Yakun (Autor:in) / Ding, Yu (Autor:in) / Li, Yuan (Autor:in)

    Kongress:

    3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society ; 2020



    Erscheinungsdatum :

    2020-12-30




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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