Dynamic Systems and Control Theory Group

The research scope of the group covers both theoretical and applied topics, with a primary focus on classical control theory and its application in vehicles with a high level of automation, that is, autonomous vehicles. In the applied domain, research activities are focused on the design and verification of modern control systems, where algorithms are implemented using dedicated software. The research related to classical control theory encompasses mathematical modeling and computer simulations of dynamic systems, stability analysis for both linear and nonlinear dynamic systems in finite and infinite-dimensional spaces, the construction of stabilizing feedback for dynamic systems, and the analysis of fractional-order systems. Scientific activities in the field of vehicle automation and autonomous vehicles are centered on creating control systems for vehicles with advanced driving automation. This includes the development of vehicle perception systems, both for the interior and exterior, based on a variety of sensors such as vision cameras, radars, and LiDARs. Research also focuses on data fusion in vehicle perception systems and the efficient utilization of large datasets in the context of autonomous vehicles. In the area of artificial intelligence, research involves exploring machine learning, including deep learning, in the context of environmental and in-vehicle perception systems, the use of reinforcement learning for behavior planning in traffic scenarios, and work on intelligent expert systems designed to automatically determine the situational awareness of the vehicle. A key aspect of this research is the analysis of large datasets, which is crucial for achieving the quality required for the industrialization of algorithmic solutions. In the area of software, testing, and systems engineering, research focuses on the design and testing of embedded automation systems, methodologies for designing complex IT systems, and technologies related to Industry 4.0.

Laboratory of Artificial Intelligence and Autonomous Vehicles

Laboratory of Virtual Validation

Integration of inference, learning, optimization and interpretation for accelerated commercialization of next-generation intelligent software systems (ARTIQ/0004/2021)

Situational awareness for the development of higher-level driving automation technologies (DWD/7/0308/2023)

Tour of the international F1TENTH competition (MEiN/2022/DIR/3136)

Intelligent autonomous vehicle management system (SKN/SP/496050/2021)

Slovak University of Technology, Bratislava, Slovakia

Future Technology Research Center, National Yunlin University of Science and Technology, Yunlin, Taiwan

OWL University of Applied Sciences and Arts, Lemgo, Germany