Machine learning-powered techniques in autonomous vehicles

Step towards the autonomy of vehicles

The aim of this project is to develop a system that will allow us to not only automate the process of selecting sensors for a vehicle in the context of detecting objects in its close vacinity, but also to understand the robustness of such sensory configurations. Furthermore, we will propose machine learning-powered techniques to fuse multi-modal sensory data. Chameleon is our step towards the autonomy of vehicles – ranging from cars straight through to satellites.