Lane Detection

Lane detection is a computer vision task aimed at identifying the boundaries of driving lanes in road scenes. Its goal is to accurately locate and track lane markings in real-time conditions, maintaining high precision even in challenging environments such as low light, glare, or complex road layouts. Lane detection is a critical component of Advanced Driver Assistance Systems (ADAS) and autonomous vehicles, providing essential information about road layout and the vehicle's position within the lane to ensure safe and reliable navigation. The algorithms typically combine techniques such as edge detection, color filtering, and the Hough transform to achieve the recognition and tracking of lane markings.