A real-time lane detection and road width estimation tool using OpenCV and Python.
- Converts frames to grayscale and applies Gaussian blur for noise reduction.
- Detects edges using the Canny edge detection algorithm.
- Defines a region of interest (ROI) to focus on the lane lines.
- Uses Hough Transform to detect line segments in the ROI.
- Filters out irrelevant lines based on their slope.
- Draws detected lane lines on the original frame.
- Estimates the road width in pixels.
- Python 3.x
- OpenCV 4.x
- NumPy
- Clone the repository:
git clone https://github.com/yourusername/LaneDetection-RoadWidthEstimation.git
- Navigate to the project directory:
cd LaneDetection-RoadWidthEstimation - Install the required dependencies:
pip install -r requirements.txt
- Place your video file in the project directory.
- Update the
video_pathvariable in the script to point to your video file. - Run the script:
python main.py
- Press
qto exit the video playback.
- process_frame(frame): Processes each frame to detect lane lines and calculate the road width.
- filter_lines(lines): Filters out lines that don't match the expected slope for lane lines.
- draw_lines(image, lines): Draws the detected lane lines on the image.
- calculate_road_width(lines, height): Calculates the width of the road based on detected lane lines.