Here are some goals to improve the Donkey V2 car. Completing these by the July 17th DIY Robocars Race will give us competitive race times and would prepare us begin doing object detection and avoidance.
* 3 & 4: The goal is to capture enough data from the cars with expensive/difficult sensors so that a neural net or visual heuristic can be trained to predict the output of these sensors using just the camera. This will enable other cars to install software versions of these sensors on their existing cars without the hardware.
There are also improvements to the web interface that would help speed up training and testing. Currently there is a lot of command line steps people have to remember to build a working model.
If you'd like to contribute, please join our slack channel, create a github branch, make your improvements, and submit a pull request. These will goals will be made into issues on github as well.