Special Session 6

SPECIAL SESSION #6

Design and Development and Characterization of Automotive Ranging Technologies

Davide Cassanelli

University of Study di Modena e Reggio Emilia, Italy

• davide.cassanelli@unimore.it

Jan Sobotka

Czech Technical University in Prague, Czech Republic

• jan.sobotka@fel.cvut.cz

Ranging systems play a crucial role in modern automotive technologies, mainly autonomous driving. These systems enable precise environmental perception and object detection, forming the backbone of advanced driver-assistance features like obstacle detection, emergency braking, adaptive cruise control, lane-keeping assist and other ADAS (Advanced Driver Assistance Systems). Car manufacturers and researchers are continuously innovating in the design and characterization of these technologies to enhance driving safety and improve the overall driving experience.

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 ranging systems for automotive, the characterization and validation of such systems, communication, safety 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 and Characterization of sensors and ranging systems for autonomous driving.
• Sensors Fusion for driver assistance systems including Infrastructure-Connected and Vehicle-Mounted Sensors.
• Artificial intelligence and fusion algorithms for sensor-acquired data.
• Synthetic target simulation (deceptive jamming) for radar sensors.
• Safety aspect of RADAR/LiDAR sensors.
• Test equipment development.
• RADAR/LiDAR sensor software and signal processing.
• Vehicle Cybersecurity.

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.

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.