revised README, ipython notebook, and added writeup template

README.md

@@ -3,10 +3,33 @@
 
 <img src="laneLines_thirdPass.jpg" width="480" alt="Combined Image" />
 
+Overview
+---
+
 When we drive, we use our eyes to decide where to go.  The lines on the road that show us where the lanes are act as our constant reference for where to steer the vehicle.  Naturally, one of the first things we would like to do in developing a self-driving car is to automatically detect lane lines using an algorithm.
 
 In this project you will detect lane lines in images using Python and OpenCV.  OpenCV means "Open-Source Computer Vision", which is a package that has many useful tools for analyzing images.  
 
+To complete the project, two files will be submitted: a file containing project code and a file containing a brief write up explaining your solution. We have included template files to be used both for the [code](https://github.com/udacity/CarND-LaneLines-P1/blob/master/P1.ipynb) and the [writeup](https://github.com/udacity/CarND-LaneLines-P1/blob/master/writeup_template.md).The code file is called P1.ipynb and the writeup template is writeup_template.md
+
+
+Creating a Great Writeup
+---
+For this project, a great writeup should provide a detailed response to the "Reflection" section of the [project rubric](https://review.udacity.com/#!/rubrics/322/view). There are three parts to the reflection:
+1. Describe the pipeline
+2. Identify any shortcomings
+3. Suggest possible improvements
+
+We encourage using images in your writeup to demonstrate how your pipeline works.  
+
+All that said, please be concise!  We're not looking for you to write a book here: just a brief description.
+
+You're not required to use markdown for your writeup.  If you use another method please just submit a pdf of your writeup. Here is a link to a [writeup template file](https://github.com/udacity/CarND-LaneLines-P1/blob/master/writeup_template.md). 
+
+
+The Project
+---
+
 ## If you have already installed the [CarND Term1 Starter Kit](https://github.com/udacity/CarND-Term1-Starter-Kit/blob/master/README.md) you should be good to go!   If not, you can install the starter kit or follow the install instructions below to get started on this project. ##
 
 **Step 1:** Getting setup with Python
@@ -72,3 +95,6 @@ Jupyter is an ipython notebook where you can run blocks of code and see results
 `> jupyter notebook`
 
 A browser window will appear showing the contents of the current directory.  Click on the file called "P1.ipynb".  Another browser window will appear displaying the notebook.  Follow the instructions in the notebook to complete the project.  
+
+**Step 5:** Complete the project and submit both the Ipython notebook and the project writeup
+

writeup_template.md

@@ -0,0 +1,47 @@
+#**Finding Lane Lines on the Road** 
+
+##Writeup Template
+
+###You can use this file as a template for your writeup if you want to submit it as a markdown file. But feel free to use some other method and submit a pdf if you prefer.
+
+---
+
+**Finding Lane Lines on the Road**
+
+The goals / steps of this project are the following:
+* Make a pipeline that finds lane lines on the road
+* Reflect on your work in a written report
+
+
+[//]: # (Image References)
+
+[image1]: ./examples/grayscale.jpg "Grayscale"
+
+---
+
+### Reflection
+
+###1. Describe your pipeline. As part of the description, explain how you modified the draw_lines() function.
+
+My pipeline consisted of 5 steps. First, I converted the images to grayscale, then I .... 
+
+In order to draw a single line on the left and right lanes, I modified the draw_lines() function by ...
+
+If you'd like to include images to show how the pipeline works, here is how to include an image: 
+
+![alt text][image1]
+
+
+###2. Identify potential shortcomings with your current pipeline
+
+
+One potential shortcoming would be what would happen when ... 
+
+Another shortcoming could be ...
+
+
+###3. Suggest possible improvements to your pipeline
+
+A possible improvement would be to ...
+
+Another potential improvement could be to ...