Mouiad-JRA/Lane-Line-Detection-using-Image-Processing-vs-Deep-Learning

This project is a characteristic educational or personal project, likely inspired by the Udacity Self-Driving Car Nanodegree curriculum. With only 15 stars and zero recent activity over nearly six years, it serves as a historical reference rather than a competitive tool. The techniques used—classical Canny edge detection and basic CNNs—are now considered introductory level in the field of computer vision. In the current landscape, this project is entirely superseded by state-of-the-art architectures like LaneNet, PolyLaneNet, or unified perception models like YOLOP. From a commercial or competitive standpoint, it offers no moat, as the functionality is a standard component of any modern ADAS (Advanced Driver Assistance System) stack provided by companies like Mobileye or open-source frameworks like comma.ai's openpilot.