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advanced-lane-finding

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Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center.

  • Updated Dec 6, 2018
  • Jupyter Notebook

Detected highway lane boundaries on a video stream with OpenCV image analysis techniques, including camera calibration matrix, distortion correction, color transforms, gradients, etc., to create a thresholded binary image, a perspective transform to rectify binary image ("birds-eye view"). Detected lane pixels and fit to find the lane boundary, …

  • Updated Dec 22, 2017
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Advanced Lane Detection Project which includes advanced image processing to detect lanes irrespective of the road texture, brightness, contrast, curves etc. Used Image warping and sliding window approach to find and plot the lane lines. Also determined the real curvature of the lane and vehicle position with respect to center

  • Updated Jun 7, 2020
  • Jupyter Notebook

A software pipeline to identify the lane boundaries in a road using a combination of advanced techniques like gradient, color and perspective transforms along with distortion correction and camera calibrations.

  • Updated Mar 9, 2018
  • Jupyter Notebook

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