Finding Lane Lines on the Road

This repo contains the code written to complete the project Finding Lane Lines on the Road on Udacity Self-Driving Car Nanodegree. The goal is detect lane lines from images (and video) taken from a camera at the from of a car.

Prerequisites

To run this project, you need Anaconda 4.3.30 installed.

Installation

First, clone the repository:

git clone https://github.com/shohne/CarND-LaneLines-P1.git

Change current directory:

cd CarND-LaneLines-P1.git

Create a conda environment with all dependencies:

conda env create -f environment.yaml

The name of created environment is carnd-lane-detection.

Running the Notebook

Activate the created conda environment:

source activate carnd-lane-detection

And run Jupyter Notebook:

jupyter notebook P1.ipynb

Implementation Details

Please visit the report.md for more information about the algorithm pipeline and its shortcomings.

Ouput and List of Files

As an example of produced video running the iPython Notebook:

P1.mp4

Some usefull files and folders in this project:

• P1.ipynb iPython Notebook with the implementation;
• environment.yaml used to create conda environment;
• report.md detailed description of pipeline;