Dariu M. Gavrila received the Ph.D. degree in computer science from Univ. of Maryland at College Park, USA, in 1996. From 1997 until 2016, he was with Daimler R&D, Ulm, Germany, where he became a Distinguished Scientist. In 2016, he moved to TU Delft, where he has since headed the Intelligent Vehicles group as a Full Professor. Over the past 30 years, Prof. Gavrila has focused on machine perception systems for detecting humans and their activity, with application to intelligent vehicles, smart surveillance, and social robotics. He is known for his pioneering work on pedestrian detection and path prediction. His current research interests involve self-driving cars in complex urban environments with a focus on the interaction with pedestrians and cyclists.
Prof. Gavrila graduated 14 PhD students and over 30 MS students. He received the Outstanding Application Award 2014 and the Outstanding Researcher Award 2019, both from the IEEE Intelligent Transportation Systems Society.
See also https://intelligent-vehicles.org and https://youtube.com/c/IntelligentVehiclesatTUDelft.
J. Marius Zöllner received a degree in computer science, with a focus on artificial intelligence and robotics, from the Karlsruhe Institute of Technology (KIT) and a PhD degree from KIT in 2005.
Since 1999, he has been with the FZI Research Center for Information Technology, where he became division manager in 2006.
From 2008 to 2016, he was a shared professor at KIT, with Harman Becker Automotive Systems GmbH (until 2012) and FZI.
Since 2008, he has been the director at the FZI, where he became a member of the executive board in 2012. Since 2016, he has been a professor of Applied Technical Cognitive Systems at KIT.
His main research interests include automated driving, service robotics, and machine learning. Prof. Zöllner graduated 18 PhD students, co-promoted 18 PhD students, and more than 100 MSc students. He is the author and co-author of more than 300 papers in conferences and journals and received several best paper awards. He served as associate editor (i.e., IEEE Intelligent Vehicles), several times as co-chair (i.e., IEEE International Conference on Robotics and Automation 2013), is a member of Germanys Platform for AI founded by the German Federal Ministry of Education and Research, spokesman of the Test Area Autonomous Driving Baden-Württemberg and topic speaker of the KIT Mobility Systems Center.
Gilles Puy obtained his PhD from EPFL in 2014. He is now a research scientist at valeo.ai working on perception for automotive applications, assisted and autonomous driving in particular. He is also part of the astra-vision team at Inria. His main research topics are 3D perception and annotation-efficient learning.
Patrik Vacek received the Ing. (M.Sc.) degree in Mechatronics from Czech Technical University (CTU) in Prague in 2018. He is currently working towards the Ph.D. degree under the supervision of Tomáš Svoboda and Karel Zimmermann in the Department of Cybernetics at Faculty of Electrical Engineering of CTU, where he works as a Research Assistant. He also collaborates with Valeo R\&D centre in Prague and Paris.