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Finding Lane Lines on the Road

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Overview

This project represents one of the first steps in developing a self-driving car: to automatically detect lane lines from images/video using an image processing algorithm. This project uses Python and OpenCV to detect lane lines in images.

The project consistes of two key files which describe the project in detail:

  1. A file containing project code (Project.ipynb): This python notebook goes into the guts of the algorithm I have devised to describe how we are able to use Canny Edge Detection and the Hough transfoRm to define lane lines.
  2. A writeup that decribes the proposed solution (Writeup.md): This markdown file describes the pipeline in detail, identifies some of the key shortcomings and wraps up with a few possible improvements.

These were created in accordance to the project rubric