/LaneLinesDetection

Udacity P1 Lane Lines Detection

Primary LanguageJupyter Notebook

Finding Lane Lines on the Road

Udacity - Self-Driving Car NanoDegree

Author: Bryan Rosales
Date: May 31st, 2017

Overview

This is the first project for Udacity Self-Driving Car NanoDegree. The objective is to develop a pipeline to detect correctly lane lines using images of camera located on the vehicle. The images are processed using computer vision techniques to finally draw 2 lines identifying the lane detected. For more detail of the project please see Writeup.pdf.

Files

  • P1.ipynb Jupyter Notebook file providing the code to detect lanes lines.
  • Writeup.pdf Step by step explaining the process followed to reach the scope of the project.
  • /test_images Images used to develop the solution.
  • /test_images_output Output images delivered for the pipeline with lane lines detection.
  • /test_videos Videos used to develop the solution.
  • /test_videos_output Output images delivered for the pipeline with lane lines detection.
  • /examples Additional images and videos used in the project.