Advance Lane Detection

Overview

The Advance Lane Detection project is an advanced computer vision system designed to accurately detect and visualize lane lines on the road. It's a critical component of autonomous vehicles and advanced driver-assistance systems (ADAS). This project implements a robust lane detection pipeline that works in various driving conditions, including challenging scenarios such as curved roads and varying lighting conditions.

Features

• Lane Detection: Accurately detects and highlights lane lines on the road.
• Lane Curvature: Calculates and displays lane curvature information.
• Lane Centering: Determines the position of the vehicle relative to the center of the lane.
• Visualization: Visualizes the detected lane lines and curvature on the video frames.
• Advanced Lane Finding: Implements advanced techniques such as perspective transform and color thresholding for robust lane detection.

Dependencies

• Python 3.x
• OpenCV
• NumPy

Installation

1. Clone the repository:

  git clone https://github.com/Hussain-D/Advance_Lane_Detection.git
  cd Advance_Lane_Detection

2. Install the required dependencies: You can install these dependencies using the provided requirements.txt file:

  pip install -r requirements.txt

3. Usage To use the lane detection system, follow these steps:

Run the lane detection on a video:

  python lane_detection.py --input video.mp4 --output output.mp4

Replace video.mp4 with the path to your input video file and output.mp4 with the desired output video filename. The processed video with lane detection results will be saved in the specified output file.

Demo Output Video

Click the link above to watch a demo video showcasing the lane detection system in action.

Contributing

Contributions are welcome! Feel free to open issues and pull requests for any improvements or bug fixes. License

This project is licensed under the MIT License - see the LICENSE file for details.

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