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driver-hci

COOP-Driving provides a framework for expanding an existing ADS with human-computer interaction using a binary decision model. For the interaction processes it makes use of handgesture-recognition using computer vision. Information about the ADS and user interaction is displayed on a lightweight UI.

For further information about the project visit coop-driving.com!

Component overview

The different components communicate remotely via network sockets. An incoming request from the ADS triggers the logic displayed in the following figure:

Component Overview

Installing dependencies

Before configuring the components you need to install the necessary modules. Depending on your setup, the installation process of the individual modules may differ. For pyTorch, please refer to this link.

TODO: add torch version and details about install

Using pip you can install the remaining dependencies by running the following command:

pip3 install -r requirements.txt

UI

An up-to-date node version is needed. Therefore it is recommended to use nvm to manage node versions. You can install nvm by following the guide on their github.

Then run the following commands:

nvm install 19.4.0
nvm use 19.4.0

Afterwards, navigate to user_interface and install the necessary node modules:

cd user_interface
npm install

If everything worked as expected, you should be able to start the application by calling:

npm run app:dev

Configuration

To configure the components you need to open config.ini and modify the following lines:

HOST = 192.168.0.0 # IPv4 
HOST_REQUEST_PORT = 40000 
HOST_RESPONSE_PORT = 40001

Replace the value of HOST with the IPv4 address from the machine where server.pyis running. You can also replace the ports where the script should listen for requests/responses.

Next you should configure config.ini to point to the address of the webserver which listens for HTTP POST requests on the address given in the following line:

WEBSERVER_ADDRESS = http://192.168.0.0:40002/login

Starting the components

You want to make sure that every component is available to receive and send data over the network using UDP and for the webserver to accept HTTP POST requests over TCP. Make sure that your firewall allows network traffic to pass through the defined ports.

Main Server

This component is in control of the main logic and the intercommunication between machines. You can launch it by calling:

python3 server.py

Webserver/UI

The webserver uses node.js to handle HTTP traffic. You can launch the server by executing the following lines:

cd user_interface
npm run app:dev

Handgesture Recogntion

To start the hand gesture recognition:

cd handgesture/Minimal-Codebase
python3 z_execute.py

You can configure the input for the CV-classifier in the file handgesture/Minimal-Codebase/config.json. If you want to use a camera for live recognition you want to change the following line:

...
"camera_port": "https://192.168.0.0:8080/video",
...

And replace the value of camera_port with the stream-address of your networking-ready camera.

Testing the Setup

Make sure all processes access the same configuration file, namely config.ini.

In order to verify the network communication and the presence of each component, you can launch the test script provided in test.py. In this file you can comment/uncomment logic to test requests and responses. Also, as there is no actual ADS in place yet, you can simulate requests from the ADS by calling:

python3 test.py