Computer Vision: Road Lane Line Detection

Abstract

Lane detection is a vital aspect within advanced driver-assistance systems and autonomous vehicle technology. In this scholarly publication, an extensive examination is conducted on a computer vision-driven road lane detection system, making use of OpenCV and the Hough Transform algorithm. We discuss the methodology, experimental results, and implications of our approach. By leveraging the power of OpenCV and Hough Transform, we aim to contribute to the development of safer and more reliable transportation systems. In conclusion, this paper introduces a Different [method/algorithm/approach] for highway lane line detection, which addresses the challenges of robustness and real-time processing. driver assistance systems and traffic management applications. Future work will focus on further optimizing and exploring its potential in dynamic traffic environments.