In recent years, intelligent vehicles have been at the center of research in automotive engineering and the future direction of the automotive industry, and are gradually showing a trend towards practicality. Excellent environmental perception and detection capability is the prerequisite and foundation for the normal operation of driverless vehicles, which directly affects the realisation of subsequent planning and decision-making, control execution and other advanced functions. This paper introduces the development status of intelligent vehicles at home and abroad, studies the current research status of mainstream perception algorithms, analyses the technical challenges encountered in perception for intelligent vehicles in urban roads, and illustrates the development goal of establishing efficient and reliable environmental perception algorithms in complex scenarios.


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    Titel :

    Overview of intelligent vehicle perception


    Beteiligte:
    Wang, Kechao (Herausgeber:in) / Vijayalakshmi, M. (Herausgeber:in) / Li, Yanchen (Autor:in) / Liu, Bohang (Autor:in) / Zhang, Shuai (Autor:in) / Wang, Zhiyu (Autor:in) / Liu, Yang (Autor:in) / Zhai, Hongtao (Autor:in) / Li, Qing (Autor:in) / Zhao, Shishu (Autor:in)

    Kongress:

    Third International Conference on Control and Intelligent Robotics (ICCIR 2023) ; 2023 ; Sipsongpanna, China


    Erschienen in:

    Proc. SPIE ; 12940


    Erscheinungsdatum :

    01.12.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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