In recent years, with the development of social economy and the unprecedented development of computer hardware computing power, artificial intelligence technology has developed rapidly, the era of big computing has come, and breakthroughs in deep learning algorithms have brought new opportunities for human-computer interaction and autonomous vehicles. Autonomous driving is divided into three parts: perception, planning and control. The perception part is the most widely used technical field of computer vision, and the camera, as one of the indispensable sensors in intelligent driving vehicles, provides important image information for self-driving vehicle systems. The automatic driving system can obtain the location and distance information of various vehicles and pedestrians appearing in front of the car, providing accurate road information for drivers, avoiding traffic accidents, reducing casualties and property losses.


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    Titel :

    MVAD: monocular vision-based autonomous driving distance perception system


    Beteiligte:
    Wei, Xiaoyun (Autor:in) / Xiao, Chaosui (Autor:in)

    Kongress:

    Third International Conference on Computer Vision and Data Mining (ICCVDM 2022) ; 2022 ; Hulun Buir,China


    Erschienen in:

    Proc. SPIE ; 12511


    Erscheinungsdatum :

    2023-02-03





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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