Lane Line Detection Based on MATLAB

Typical roads primarily consist of straight segments and curves, thus lane lines can be classified into straight lane lines and curved lane lines. This section first defines the region of interest (ROI) in road images to improve computational efficiency, then applies distinct detection methods for each type. For straight lane lines, the Hough transform is used to extract linear features, followed by filtering and drawing the two closest straight lane lines relative to the vehicle. For curved lane lines, a parabolic model is employed for curve fitting via the least squares method, with the quadratic coefficient determining the curve's direction.