As an important part of intelligent driving vehicles and intelligent networked transportation systems, environmental perception technology can provide important decision-making basis for the overall planning of intelligent driving vehicles and transportation systems. This paper reviews the current research on environment perception technology in the current intelligent networked transportation system, and analyzes four key research directions and related progress of environmental sensing technologies, including single sensor device, high-precision map, multi-sensor information fusion and vehicle-road collaboration. On the basis of analyzing and summarizing existing related research, this article elaborates the development trend and key directions of future environmental perception technology, including the integration of deep learning, vehicle-road integration, information security and multi-dimensional perception technology related development directions. It is of positive significance for improving the reliability of automatic driving systems and improving traffic safety.


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    Titel :

    Development and Research of Environment Perception Technology in Intelligent Networked Transportation System


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Wu, Jingyuan (Autor:in) / Tian, Liping (Autor:in) / Wang, Miao (Autor:in) / Zhang, Wei (Autor:in) / Li, Yan (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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