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Lane-Detection

This project is implemented to detect lane and predict the turn of the given video. The pipeline is as follows.

  • The video is taken frame by frame.
  • The frame is undistorted using camera parameters.
  • Noise in the frame is removed using Gaussian filter.
  • Bottom half of the frame is taken as Region of Interest.
  • Homography is applied to the frame to get the bird's view of the road.
  • Histogram is taken to detect the lane lines in the road.
  • Lane lines are filtered using color segmentation.
  • A polynomial is fitted to both right and left line of the road.
  • The polynomial is superimposed back to the original frame using inverse Homography.

Results

Run Instruction

  1. Run the Lane_Detection.py.
  2. Select the video by entering either 1 or 2.

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