The Vehicle Dynamics and Control Research Team establishment was led by our vision to develop automated driving algorithms that outperform even a professional human driver by means of driving skills. Accordingly, our research and development focus on motion and behavior planning and on the connecting motion control.
We are convinced that academic research should be rooted in industrial and social needs. Hence, application-oriented work, implementation, and demonstration of our findings on real vehicles and in relevant environments are key for us. According to it, the team has the opportunity to use a beautiful BMW M2 Competition vehicle as a test platform converted to drive-by-wire and equipped with all the relevant sensor systems, rapid control prototyping units, and automotive ECUs to experiment, test, and demonstrate our results. Our symbiotic relationship with ZalaZONE Automotive Proving Ground is also a competitive advantage. Additionally, our team members can show up with not only an academic background but proven experience in the automotive R&D.
We are agnostic for the use of methods and tools, which means we are experimenting and competing different technologies and algorithms (including modern control theory, machine learning, model-based design, etc.) to find the appropriate solution. Our unique findings are related to automated vehicle driving at handling limits that can significantly enhance road safety and can additionally be used in autonomous off-road missions and motorsport scenarios. We are looking forward to finding partners for the technology transfer and development of our know-how and patent.