Special Session 7

SPECIAL SESSION #7

Luigi Rovati

Università degli Studi di Modena e Reggio Emilia, Italy

• luigi.rovati@unimore.it

Davide Cassanelli

Università degli studi di Modena e Reggio Emilia, Italy

• davide.cassanelli@unimore.it

Nowadays, driving safety and driving quality are crucial factors for users. Drivers are particularly attracted by car features that enhance safety (automatic emergency brake, Obstacle detection, etc) and the driving experience (Adaptive Cruise Control, Keep Lane Assist, etc). Car manufacturers have been implementing several systems for improving these aspects of cars and proposing new technologies. In particular, the focus has been on autonomous driving, improving driving assistance technologies to reach the zero-incident goal. However, even if this scenario is still far reached, the presence of sensors and measuring systems in today's vehicles is continuously increasing to improve driver safety and comfort. Systems such as LiDAR, ultrasonic Sonar, and stereo cameras are even more present in vehicles to achieve better environment sensing, which is crucial for autonomous driving.

Recently, the goal has been to improve the performance of such measuring systems, both improving the hardware design and proposing even power algorithms for the acquired data analysis. Nevertheless, it is fundamental to have a thorough understanding of these systems.

Scientific contributions regarding the innovative design of sensors and measuring systems for autonomous driving, the characterization and validation of such systems and the proposal of algorithms for the acquired data analysis are welcome.

Topics of interest for this Special Session include, but are not limited to:

• Design of sensors and measuring systems for autonomous driving.
• Characterization of sensors and measuring systems for autonomous driving.
• Design of test methodologies for driving assistance systems analysis.
• Sensors Fusion for driver assistance systems, including Infrastructure-Connected and Vehicle-Mounted Sensors.
• Artificial intelligence and fusion algorithms for sensor-acquired data.

Luigi Rovati (Member, IEEE) is currently a Full Professor of electronic instrumentation and measurement science with the Department of Engineering “Enzo Ferrari,” University of Modena and Reggio Emilia, Modena, Italy. He is also the Scientific Director of the MS2 Laboratory, Science and Technology Park for Medicine (TPM) “Mario Veronesi,” Mirandola, Italy. The published articles production (more than 200 publications) testifies the level of the developed activity. He is also involved in various research projects between university and industrial partners. His research interests include the study and development of high-performance and innovative instrumentation.

Davide Cassanelli (Graduate Student Member, IEEE) received the M.S. degree (cum laude) in electronic engineering from the University of Modena and Reggio Emilia, Modena, Italy, in 2019 and the PhD degree in "Automotive for an intelligent mobility" from the University of Bologna, Bologna, Italy, in 2023.
He works as a Research Fellow with the University of Modena and Reggio Emilia. His research interests include optoelectronic instrumentation and measuring systems, with a special focus on biomedical and automotive applications.