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A cv2-based implementation of a self-driving car module responsible for lane lines detection under different lighting conditions, pavement textures and curves.

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maggieezzat/Lane-Detection

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An opencv-based implementation of a self-driving car module responsible for detecting lane lines under different lighting conditions, pavement textures and curves.

Implementation includes the following:

  • Camera calibration and distortion correction.
  • Applying Gaussian Blur.
  • Edge Detection using Sobel.
  • Color/gradient thresholding.
  • Perspective transform.
  • Detecting lane lines using peaks of histogram and sliding window.
  • Drawing lanes on the original image
  • Determining the lane curvature.

Dependencies:

  1. pip install numpy
  2. pip install matplotlib
  3. pip install opencv-python

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A cv2-based implementation of a self-driving car module responsible for lane lines detection under different lighting conditions, pavement textures and curves.

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