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@article{155388,
        author = {Akash Kumar Singh},
        title = {Lane Detection In Autonomous Transportation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {3},
        pages = {515-519},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155388},
        abstract = {For vehicles to possess the choice to drive without anyone else, they need to grasp their encompassing world, so that they can explore the way to roads, delay at stop and traffic signals, and check out to not hit snags, for instance, different vehicles and other people on foot. An exertion has been made to exhibit path location utilizing the OpenCV library in light of the issues experienced in identifying the objects via independent vehicles. The explanation and methodology for selecting grayscale rather than shading, distinguishing edges during a picture, Deciding on the locale of interest, implementing Hough Transform, and picking bipolar directions over the Cartesian facilitates are scanned and examine.},
        keywords = {NumPy, OpenCV, Canny, Lane-Detection, Hough Transform},
        month = {},
        }