Lane detection systems are useful to avoid road accidents that are due to wrong-lane driving. Such systems have the target to detect the lanes and warn the driver in case the vehicle enters the wrong lane. In this paper, we've proposed a lane detection technique that increases the accuracy and stability of the vehicle while tracing the position of the lane in a complex driving environment. Based on the existing methods like Canny edge detection and the Hough transform method, the proposed technique has an excellent detection ability and can detect key lanes in complex road environments such as darkness, traffic jams, and uneven lighting.


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    Titel :

    An Optimised Deep Learning Approach of Lane Detection in Complex Indian Environment


    Beteiligte:


    Erscheinungsdatum :

    15.10.2022


    Format / Umfang :

    1175077 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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