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. 

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Project information




09.2020 - 10.2022

Financed by

European Regional Development Fund

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