Car Lane Detection

This project rebuilds a classic lane detection pipeline with explicit image-processing steps. It is useful as a low-level computer vision exercise because each stage exposes an interpretable assumption: what counts as an edge, how noise is suppressed, and how line candidates accumulate votes.

The implementation notes are split into focused articles on Canny edge detection and Hough line transform.