Lane Line Detection Based on MATLAB

In this section: Roads generally consist of straight segments and curved sections, so lane lines are correspondingly categorized into straight lane lines and curved lane lines. To enhance computational efficiency, we first define a region of interest (ROI) in the road image. Different detection methods are then applied based on the two lane line types. For straight lane lines, we implement the Hough Transform algorithm to detect linear features - MATLAB's hough and houghlines functions can efficiently identify line segments, followed by filtering logic to select and plot the two closest straight lane lines relative to the vehicle's position. For curved lane lines, we utilize polynomial curve fitting through the least squares method, typically implemented using MATLAB's polyfit function with a second-order parabolic model. The quadratic coefficient (x² term) in the parabolic equation determines the curve's direction (positive for right curves, negative for left curves). These methodological approaches enable accurate detection and classification of different lane line types, ultimately enhancing road driving safety and stability.