5. DEVELOP – Design, Verification and Validation of ML systems in automotive

Modern automotive software is getting increasingly complex, as it tackles new scenarios all the time. With the introduction of connected cars, automotive drive and electrification, the software systems started to use machine learning in the core systems of the car.

In this project, we address the challenges of safe and secure use of machine learning is modern cars. We explore, design and develop techniques for validating machine learning systems based on such technologies as Autoencoders.

Current publications: Automotive Software Architectures – An Introduction | Miroslaw Staron | Springer

Funding agency: Vinnova