“Lane Line Detection Algorithm for Self-Drive Cars”

Publication Date : 04/06/2022

Author(s) :

Ahire Saurabh 1, Chandore Pratik 2, Gavit Yashoda 3 Khalane Yogesh.

Volume/Issue :
Volume 10
Issue 4
(06 - 2022)

Abstract :

Being able to detect lane lines could be a crucial task for any self-driving autonomous vehicle. In this project, to identify lane lines on the road OpenCV is used. OpenCV method uses the input images to find any lane lines command among and also for rendering out an illustration of the lane. The OpenCV tools like color selection, the region of interest selection, grey scaling, Gaussian smoothing, Canny Edge Detection, and Hough Transform line detection are being employed. A color detection algorithm identifies pixels in a picture that matches a given color or color range. Region of interest selection allows you to select a rectangle in an image, crop the rectangular region and finally display the cropped image. Grey scaling is the method of changing an image from different color spaces e.g., RGB, CMYK, HSV, etc. to shades of gray.

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