Self-Driving Car Nanodegree Capstone Project

This is the Capstone project repository for the Udacity Self-Driving Car Nanodegree.

For more information about the project, see the project introduction here.

Name	Udacity account email
Dimitris Traskas (Team Lead)	dtraskas at gmail.com
Denise Miller	denisej199 at gmail.com
Jeremy Shannon	jeremyplaysthedrums at hotmail.com
Edwin Wong	sze224 at gmail.com
Sergio Gordillo	sgordillogallardo at gmail.com

Be sure that your workstation is running Ubuntu 16.04 Xenial Xerus or Ubuntu 14.04 Trusty Tahir. Ubuntu downloads can be found here.
If using a Virtual Machine to install Ubuntu, use the following configuration as minimum:
- 2 CPU
- 2 GB system memory
- 25 GB of free hard drive space
The Udacity provided virtual machine has ROS and Dataspeed DBW already installed, so you can skip the next two steps if you are using this.
Follow these instructions to install ROS
- ROS Kinetic if you have Ubuntu 16.04.
- ROS Indigo if you have Ubuntu 14.04.
Dataspeed DBW
- Use this option to install the SDK on a workstation that already has ROS installed: One Line SDK Install (binary)
Download the Udacity Simulator.

Build the docker container

docker build . -t capstone

Run the docker file

docker run -p 127.0.0.1:4567:4567 -v $PWD:/capstone -v /tmp/log:/root/.ros/ --rm -it capstone

git clone https://github.com/udacity/CarND-Capstone.git

cd CarND-Capstone
pip install -r requirements.txt

cd ros
catkin_make
source devel/setup.sh
roslaunch launch/styx.launch

Download training bag that was recorded on the Udacity self-driving car (a bag demonstraing the correct predictions in autonomous mode can be found here)
Unzip the file

unzip traffic_light_bag_files.zip

rosbag play -l traffic_light_bag_files/loop_with_traffic_light.bag

cd CarND-Capstone/ros
roslaunch launch/site.launch

archelogos/CarND-Capstone