This is the project repo for the final project of the Udacity Self-Driving Car Nanodegree: Programming a Real Self-Driving Car. For more information about the project, see the project introduction here.

This repository is maintained by the following:

• Andrew Raharjo
• Jingxian Lin
• Raymond Linn
• Jun Zhu
• Mahmood Salah

• Andrew Raharjo
• Jingxian Lin
• Raymond Linn
• Jun Zhu
• Mahmood Salah

• 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.

1. Clone the project repository

git clone https://github.com/udacity/carnd_capstone.git

2. Install python dependencies

cd CarNd-Capstone
pip install -r requirements.txt

3. Make and run styx

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

4. Run the simulator

unzip linux_system_int
cd linux_system_int
chmod +x system_integration.x86_64
./system_integration.x86_64