Lane Detection for Self-Driving Cars Using AI

The Concern regarding the nature of accidents has grown as the frequency of traffic incidents has increased. It happens frequently as a result of human mistake. In order to assist drivers, lane detection systems are currently being created with the primary aim of identifying lanes and warning drivers about potential lane departures. There are multiple techniques for detecting lanes, with many focusing on straight lanes. This paper's main goal is to examine the drawbacks of various lane detecting algorithms and suggest a solution that does away with them. This work uses artificial intelligence to recognize lanes using OpenCV, NumPy, and digital image processing (noise removal, edge detection, Hough transformation).