ICT4CART Special Session (Nov. 12, 2021 @11:00-15:00 CET)
As a novelty, IEEE VNC also hosts a special session of the EU H2020 ICT4CART project on Friday 12 Nov @11:00 CET. The ICT4CART project investigates a versatile ICT infrastructure for highly automated driving and has created a number of impressive demonstrations it wants to showcase. See our program for more details. Attendance is included in the VNC registration.
The H2020 ICT4CART project: scope, achievements and vision
Comm. Infrastructure and Hybrid Connectivity
Rodrigo Ordonez Hurtado
Data and IT Services
Cyber-security and Data Privacy
13:30-15:00 (Demo video session)
ASFINAG (AT & CB)
ICT4CART Demo Results:
Cross Border TS
Jan Strohbeck/ Martin Herrmann
Speakers' short CVs
Dr. Michael Buchholz earned his diploma degree in electrical engineering and information technology as well as his Ph.D. degree from the Faculty of Electrical Engineering and Information Technology, Karlsruhe Institute of Technology. He is a research group leader and lecturer at the Institute of Measurement, Control, and Microtechnology, Ulm University, Germany. His research interests include connected automated driving, electric mobility, the modeling and control of mechatronic systems, and system identification.
Dr. Vasilis Sourlas received his Diploma degree from the Computer Engineering and Informatics Department, University of Patras, Greece, in 2004 and the M.Sc. degree in Computer Science and Engineering from the same department in 2006. In 2013 he received his PhD from the Department of Electrical and Computer Engineering, University of Thessaly (Volos), Greece. Since 2017 he is working as a senior researcher in ICCS-NTUA (I-sense group), participating and leading various EU-funded projects. He is the day to day project coordinator of the ICT4CART project.
Markus Wimmer received his master’s degree in computer science in 1992 at the University of Passau. Markus has more than 20 years of experience in cellular radio technology – spanning from GSM, UMTS, LTE-A and 5G, including 6 years as active representant and contributor to the 3GPP specifications. Currently, he works in the System Design and Architecture department within Nokia Networks. His current projects are related to V2X communications in low latency mobile networks.
Dr. Rodrigo H. Ordóñez-Hurtado received his B.Eng. degree in Industrial Automation from the University of Cauca (Colombia) in 2005, and his Ph.D. degree in Electrical Engineering from the University of Chile (Chile) in 2012. Between 2012-2017 he was Research Fellow at top Irish universities working in several EU-funded projects. Since 2017, he is a Research Scientist at IBM Research Europe - Dublin (Ireland), formerly in the Optimisation & Control group and recently in the Computational Math for Digital Health team. Rodrigo’s interests include swarm intelligence, stability theory, system identification & process control, recommender systems, and synthetic data generation, with applications to intelligent transportation systems and the healthcare industry.
Daniele Brevi received a M.Sc. degree in Telecommunication Engineering from Polytechnic of Turin in 2003. Daniele has more than 15 years of experience in wireless communications applied to different environments like industry 4.0, automotive, etc. Currently, he is team leader for the CCAM activities in LINKS (started in 2010). His research interests include CCAM communications and services (developed for OBU, RSU and MEC).
Gottfried Allmer was born 1964 in Vienna, Austria. Holds a Master Degree in Physics from the Vienna University of Technology and works as service and project manager for Austria’s highway operator ASFINAG. Background in Software Development for Traffic Control Centres with requirements for real time and safety criticality. Currently involved in the online data transfer from highway infrastructure to automotive, seen as essential for the implementation of Automated Driving.
Jan Strohbeck earned his M.Sc. degree in computer science from Aalen University. He is a researcher at the Institute of Measurement, Control, and Microtechnology, Ulm University, Germany. His research interests include motion prediction of traffic participants, spe cifically at intersections, and the estimation of the predictions’ inherent uncertainty.
Martin Herrmann earned his M.Sc. degree in electrical engineering in 2017 from Ulm University. He is a research assistant at the Institute of Measurement, Control, and Microtechnology, Ulm University, Germany. His research interests include sensor data fusion, filtering and estimation, signal processing, and environment perception for autonomous driving.