The basis of our work at the Institute of Measurement, Control and Microtechnology is the research and development of modern methods of measurement and control technology as well as signal processing and (real-time) optimisation, which are applied to issues in the fields of electric mobility, networked automated driving and mechatronic systems. The practicality of our research is important to us and we demonstrate this with our own test beds and test vehicles with mule registration as well as our pilot facility with infrastructure sensor technology for connected driving.
In addition to data-driven modelling and, based on this, the control and onboard diagnostics of batteries and fuel cells, superordinated, predictive operational strategies for electric vehicles are a research focus in the field of electric mobility. These tasks are also increasingly linked to our research on connected automated driving, which uses classical methods as well as machine learning (Deep Learning/AI). The emphasis here is on object recognition and environment modelling, multi-object tracking and situational comprehension in the vehicle and in the infrastructure.