Repository for Smarterdam - Minor Future Automotive Mobility - University of Applied Sciences Rotterdam.

This repository contains the following applications:

• SocketServer.py: Run this on your computer. This application takes care of connectivity between the other applications.

• Joystick.py: Run this on the computer that connects the PlayStation 4 controller.

• PinkVehicle.py: Run this in Virtualenv on the Raspberry Pi connected to the h-bridges in the pink vehicle.

• DemoVehicle.py: INCOMPLETE. This is a demo environment with a virtual vehicle.

• ServoVehicle.py: Run this in Virtualenv on the Raspberry Pi (with Python 3.6.5) connected to the servo actuator.

• FakeVehicle.py: To test your vehicles implementation.

• FakeRecognition.py: To simulate person detection.

• services/Jetson-Object-Detection: Execute main.py on the Nvidia Jetson. Use config.yml to set your environmental variables.

• services/LIDAR: Run this in Ubuntu with the RPLIDAR-A1.

• services/Object-Detection: Run this in Ubuntu in Docker with a USB camera attached.

Environmental variables can be configured in the .env file (Note: During installation you must make a copy of .env.example to .env before starting the Python application).

It is recommended that you install the main application in Virtualenv. To set this up, execute virtualenv -p python3.6 venv.

In order to activate Virtualenv, execute source venv/bin/activate.

To install dependencies, run pip install -r requirements.txt. Make sure your environmental variables are up-to-date by comparing it to the .env.example.

To commit newly added dependencies, run pip freeze > requirements.txt.