SPECIAL SESSION #1

Mauro Serpelloni

University of Brescia, Italy

• mauro.serpelloni@unibs.it

Jan Sobotka

Czech Technical University in Prague, Czech Republic

• jan.sobotka@fel.cvut.cz

Stefano Cattini

University of Modena and Reggio Emilia, Italy

• stefano.cattini@unimore.it

Ensuring driver and vehicle safety is a fundamental goal in the development of modern and intelligent transportation systems. Advances in sensing and measurement technologies enable accurate monitoring of the driver’s physiological and cognitive state, vehicle dynamics, and environmental conditions. This Special Session aims to provide a multidisciplinary forum for researchers and practitioners to present innovative approaches, technologies, and measurement methodologies that contribute to safer and more reliable driving. The session welcomes contributions addressing sensors, communication, signal processing, data fusion, and metrological characterization for enhanced perception, awareness, and decision-making in automotive systems.

Topics include, but are not limited to:

• Wearable and contactless sensors for driver monitoring (physiological, cognitive, and behavioral);
• Measurement systems for vehicle dynamics and control;
• Radar, LiDAR, ultrasonic, and vision-based sensing for environment perception;
• Sensor fusion and data integration for safety enhancement;
• Measurement and evaluation of road and environmental conditions;
• AI and machine learning approaches for driver and vehicle safety assessment;
• Metrological characterization of automotive sensors and systems;
• In-vehicle and vehicle-to-infrastructure (V2I) sensing and communication;
• Safe and secure communication (reliability and cybersecurity aspects);
• Human–machine interfaces and feedback systems for driver assistance;
• Experimental validation and test methodologies for safety-related sensors and systems.

Mauro Serpelloni is currently Full Professor of electrical and electronic measurements with the Department of Information Engineering, University of Brescia.
He has worked on several projects relating to the design, modeling, and fabrication of measurement systems for industrial applications.
His research interests include electronic instrumentation, sensors, contactless transmissions between sensors and electronics and signal processing for microelectromechanical systems. Recently, research has been addressed to the development of wearable sensors, autonomous sensors for biomedical applications and devices implantable inside the human body.

Jan Sobotka received Ph.D. from the CTU in Prague, FEE, in 2018 with thesis Methods for Verification and Validation of Automotive Distributed Systems. Jan started gaining professional experience in 2008 by joining the Formula Students team CTU CarTech. His activities are focused on automotive communications (CAN FD, Automotive Ethernet, FlexRay), Model-Based Testing, Hardware-in-the-Loop (HiL) simulation, and various automotive industry projects. He has been working on target simulation for automotive radar sensors for several years. Now is interested in automotive cybersecurity. He is a car enthusiast with a significant overview of the domain. He is employed as an assistant professor at Czech Technical University in Prague.

Stefano Cattini is currently Associate Professor in Electrical and Electronic Measurements within the Department of Engineering "E. Ferrari" at the University of Modena and Reggio Emilia, Italy. His research interests encompass the design, characterisation and validation of novel measurement methods and measuring systems, with a particular focus on optical techniques for automotive and biomedical applications.