Road Edge and Lane Detection and Tracking Package

This MATLAB package implements road edge and lane detection and tracking algorithms that are fully executable and demonstrate outstanding experimental performance. The package employs sophisticated computer vision techniques, including edge detection algorithms (likely using Canny or Sobel operators), Hough transform for line detection, and potentially Kalman filtering or other tracking methods for maintaining lane continuity across video frames. The implementation handles complex road scenarios through adaptive thresholding and noise reduction mechanisms, ensuring high robustness and accuracy. Users can customize parameters such as region of interest (ROI) selection, detection sensitivity thresholds, and tracking persistence settings to optimize performance for specific environments. The code structure includes modular functions for image preprocessing, feature extraction, and trajectory prediction, making it suitable for both research applications and practical implementations in autonomous driving systems or driver assistance technologies. This package significantly enhances the efficiency and precision of road boundary and lane marking analysis through its well-organized MATLAB implementation.