Dynamic Hough transform for robust lane detection and navigation in real time

Traffic safety is enhanced by immediate lane-line monitoring and recognition in advanced driving assistance systems. A new method of recognizing and continuous monitoring lane lines using the Hough transform is proposed in this study. A vehicle is equipped with a camera that takes pictures of the road, which are then processed to enhance the visibility of the lane lines. Hough transforms applied to preprocessed images allow the system to recognize lane lines. In order to ensure continuous monitoring of lane lines, the Kalman filter has been used in the study. A comprehensive set of real-time driving scenarios is used to assess the performance of the proposed system in Python using OpenCV. The results of the trial demonstrate the system’s viability and efficacy.