A Graduate Diploma in Information Technology student is looking forward to putting his model self-driving car to the test.

Zengshuai (Frank) Li designed and built the autonomous car as part of his Next Generation Hardware course.

In doing so he made use of a raspberry pi computer, a small camera, and a converted Play Station controller.

Next, he will ‘train’ the car on a practice course, using the controller to determine speed and direction.

The camera will capture still images and upload parameters to the cloud. These parameters are in turn used to train the model. It’s a similar concept to that used by the car companies manufacturing self-driving vehicles.

Once it is trained, the car can be driven on trained maps and routes via Artificial Intelligence.