With the development of intelligent driving technology, the progress of hardware technology. Visual perception technology based on deep learning has been applied more and more in the field of intelligent driving. Vision, as the main part of information acquisition, is the core of automatic assisted driving technology. Based on the intelligent vehicle as the research platform, the use of ROS combined the technology of deep learning design implements a lane detection algorithm, in the car on the road ahead uninterrupted detection, extraction of the road lane information, to guide the car driving direction, effectively improve the security and intelligent vehicle driving process, to achieve the function of unmanned vehicle automated driving laid the foundation.


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    Titel :

    Research on lane detection algorithm of intelligent vehicle


    Beteiligte:
    Liu, Biao (Autor:in) / Liu, Guohao (Autor:in) / Qiao, Junchao (Autor:in)

    Kongress:

    International Conference on Algorithms, Microchips and Network Applications ; 2022 ; Zhuhai,China


    Erschienen in:

    Proc. SPIE ; 12176


    Erscheinungsdatum :

    2022-05-06





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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