Lane detection is a computer vision technique that identifies road lane boundaries in images or video captured by cameras. It helps systems understand where driving lanes are located and how they are positioned relative to a vehicle. The process typically analyzes visual patterns such as road markings, edges, and shapes, then estimates lane lines or curves. Advanced systems can use machine learning models to recognize lanes under different lighting, road conditions, and traffic situations.
For example, a driver-assistance system can detect lane markings and alert a driver when the vehicle begins drifting across them. This improves road awareness and supports safer driving. Applications include autonomous vehicles, advanced driver-assistance systems, traffic monitoring, and road analysis, helping vehicles maintain lane position and understand road layouts.
