miniAutonomous is an open-source, low-cost ($700) hardware and software platform created to develop and implement end-to-end steering and throttle control using deep learning!
The primary intent of the platform is to focus on the design and development of neural networks in the domain of end-to-end driving. The entire ecosystem was developed in native Python, uses minimal external packages, and contains no ROS components. It has been designed since its inception to be a clean, easy-to-use framework that has an on-vehicle graphical interface. The code base is a well-documented, highly modular and easily expandable software framework that can give those new to deep learning valuable experience in designing and deploying end-to-end networks.
Find Out MoreWe have released our on-vehicle software stack and the network trainer framework. Please stay tuned for pending updates to this portal and the respective repos.
Visit our GitHUB !Have any questions, or would like to contribute, please contact us!