ABOUT THE GROUP
The Research Group for Intelligent Vehicles (IG09) was established in 2018 as an interdisciplinary group that brings together scientists and experts in the fields of electrical engineering, electromechanical engineering, computing, automation, communication technologies, artificial intelligence, and the modelling of complex technical systems. The group’s focus is to provide a favourable environment for the development of smart and energy-efficient vehicle solutions. Employees from two FERIT departments, the Department of Electromechanical Engineering and Automation and the Department of Communications, participate in the group's activities.
The group's research work is organised around two directions. One part of the group focuses on developing solutions (algorithms) for advanced driver-assistance systems (ADAS), using signal processing techniques, computer vision, and artificial intelligence. The idea of these solutions is to increase the level of safety of traffic users, reduce the number of traffic accidents, and increase traffic efficiency. Modern development and validation methods ensure high performance of the resulting solutions.
The second part of the IG09 group's activities is focused on the development of advanced technologies for electric vehicles. Particular attention is paid to multi-domain modelling and optimisation of key vehicle subsystems. This work includes detailed modelling of energy flows, development of electrochemical and thermal models of battery systems, development of advanced algorithms for battery charge and health management (SoC/SoH), and optimisation of energy recovery through analysis of drive dynamics and driving conditions. The combination of advanced simulation environments and experimental laboratory measurements enables high-precision validation of the developed models and algorithms.
In summary, IG09 focuses on increasing energy efficiency, control stability, and vehicle system reliability while ensuring the scalability of solutions for future generations of autonomous and electrified vehicles.
KEY RESEARCH AREAS
- Modern signal processing from in-vehicle sensors
- Application of computer vision and artificial intelligence techniques to develop solutions for advanced driver-assistance systems
- Optimisation of energy flows and battery system management
- Modelling and simulation of electric vehicle dynamics (multi-physics approach)
- Development and optimisation of vehicle drive components (electromagnetic, thermal, mechanical modelling)
RESEARCH AREAS
IG09 has focused its research work on two directions. The first relates to ADAS, where the primary goal is to support the driver during vehicle operation. In later stages of autonomous vehicle development, the goal is for the system to take over certain driving tasks. Therefore, the primary goal in this area is to conduct quality research on collecting signals from the vehicle's environment, processing these signals, and applying modern computer vision and artificial intelligence techniques to develop advanced algorithms.
The second direction concerns the development of advanced methods for optimising energy flows in electric vehicles, where detailed modelling of electrochemical, thermal, and dynamic processes within the drive and battery systems is carried out. Research includes the development of advanced control algorithms that include model-based predictive control, optimisation methods, and algorithms for adaptive system regulation in real driving conditions. Work is also underway to improve the efficiency of drive components using numerical methods, electromagnetic modelling, and thermal simulations. By integrating physical tests with virtual models (HIL/SIL), a high degree of calculation accuracy and reliable assessment of system behaviour under different load regimes is achieved.
PROFESSIONAL EXPERTISE
The IG09 group has expertise in signal processing and the application of modern computer vision and artificial intelligence techniques for the development of advanced driver-assistance systems. Furthermore, expertise in transmission systems and multimedia signal transmission provides the group with additional capabilities for developing robust solutions. The group also has expertise in energy management and battery system optimisation. IG09 also has expertise in the fields of energy management and battery system optimisation. IG09 members design and test drive components using numerical, electromagnetic, and thermal methods and develop advanced control and regulation algorithms for stable vehicle operation under various conditions. Special attention is paid to the integration of simulation and physical test environments, which enables efficient performance analysis, improvement of autonomous driving systems, and the application of multidisciplinary engineering modelling.
KEY PROFESSIONAL EXPERTISE
- Processing of various types of signals from in-vehicle sensors
- Application of modern computer vision and artificial intelligence methods for the development of advanced driver-assistance systems
- In-vehicle signal transmission systems
- Autonomous driving systems
- Energy management and optimisation of battery systems
- Design and testing of drive components
- Advanced control and regulation methods
- Integration of simulation and physical test environments
