This was the main information page of the competition held in January 2021
DeltaX Self-driving competition, was part of the DeltaX student competition. The task in this competition was to create a software solution that could drive a toy car on a small race track, based on visual inputs.
The competition includes prizes for winners. The main prize is 1000 euros.
The rules of the self-driving competition can be found here (updated 24.11): link
1. To participate, first please register by sending an email to firstname.lastname@example.org.
2. As a next step you could take a look at the public dataset we have made available to all teams (cf. Data tab on the left)
3. Communication with the car is achieved via software provided by RCSnail, the documentation for controlling the car and a video explaining the steps are below.
In the lower part of the Documentation file you also see mentioned installation of RCSnail-AI-Lite. You can achieve control over the car by placing your image-to-commands processing in between the
#in https://github.com/martinliivak/RCSnail-AI-lite/blob/master/src/main.py line 39: frame, data = await recv_array_with_json(queue=data_queue)
and line 50: controls_queue.send_json(next_controls)
in the main.py of that repository. See more details in Data Recording, Windwos v. Linux and Example pages.
BONUS 1 Example video of driving and camera feed from the track in Delta: https://drive.google.com/file/d/1ccim7tzmPKkdyU-s4siVsu7TUhcdjSVU/view?usp=sharing
BONUS 2 - you might find useful to take inspiration from the work done with these cars by Martin Liivak.
Example video from the master's thesis of Martin Liivak :