The bone of contention for Advanced Driver Assistance Systems (ADAS) is Lane Detection. It is not effectively
executed and is challenged because of susceptible computer vision techniques which are vulnerable for many factors like
peculiar road pattern, unusual lighting and weather conditions, repercussion of obstacles like shadows and other cars, and many
more. To try and overcome these vulnerabilities, The Sliding Windows method is used in this paper to detect lanes in real-time
using the OpenCV python package. It includes undistorting, preprocessing, detecting lanes on the perspective transformed
frame, and displaying detected lane as output
