In recent years, the lackadaisical lane crossing of vehicles causes major accidents on the highway roads. Particularly, in India different lane systems are available, they are 4-way, 6 way, and 8-way lane systems. The proposed work helps to identify the unwanted lane crossing activities and send an alert to the vehicle driver. A smart mobile is fixed in the dashpot and captures the lane video. The video is then converted into frames and the frame is detected using median filter, thresholding, and Hough transforms. In the lane, track marking is detected using pattern match and Kalman filter. The detected lane track is marked in different coloring and shown in the smart phone display. The proposed work is tested and compared with the existing lane crossing algorithms.


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    Title :

    Image Processing Based Lane Crossing Detection Alert System to Avoid Vehicle Collision


    Additional title:

    Advs in Intelligent Syst., Computing



    Conference:

    International Conference On Computational Vision and Bio Inspired Computing ; 2019 ; Coimbatore, India September 25, 2019 - September 26, 2019



    Publication date :

    2020-01-07


    Size :

    6 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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