Arnaud de La Fortelle first studied theoretical properties of probability distributions (large deviations) with application to queing networks (1997-2003). He then applied this knowledge to vehicle networks with a special focus for cybercars (2003-2005). At the same time, he began to manage projects at INRIA; then he managed part of the team IMARA at INRIA and as well as at Mines ParisTech. He became director of the joint research unit LaRA (the automated road) between INRIA and Mines ParisTech in 2006. He moved to Mines ParisTech in 2006 (keeping managerial responsibilities at INRIA) where he became director of the Center for Robotics (CAOR) in 2008 and full professor in 2009. During that period, he investigated communications for cooperative systems and the architecture needed in distributed systems. While keeping some fundamental research in probability theory, his main topic of interest is now cooperative systems (data distribution, control, mathematical certification) and their applications (e.g. Cybercars, collective taxis). He coordinates two chairs: the international research chair Drive for All sponsored by PSA Peugeot-Citroën, Safran and Valeo dealing with automated driving for ground vehicles (in partnership with EPFL, Shanghai Jiao Tong University and UC Berkeley/PATH partners); and the chair on Urban logistics sponsored by Renault, La Poste, POMONA, City of Paris and ADEME.
Christoph Stiller studied Electrical Engineering in Aachen, Germany and Trondheim, Norway, and received the Diploma degree and the Dr.-Ing. degree (Ph.D.) from Aachen University of Technology in 1988 and 1994, respectively. He worked with INRS-Telecommunications in Montreal, Canada for a post-doctoral year as Member of the Scientific Staff in 1994/1995. In 1995 he joined the Corporate Research and Advanced Development of Robert Bosch GmbH, Germany. In 2001 he became chaired professor and director of the Institute for Measurement and Control Systems at Karlsruhe Institute of Technology, Germany. Dr. Stiller serves as immediate Past President of the IEEE Intelligent Transportation Systems Society, Associate Editor for the IEEE Transactions on Intelligent Transportation Systems (2004-ongoing), IEEE Transactions on Image Processing (1999-2003) and for the IEEE Intelligent Transportation Systems Magazine (2012-ongoing). He served as Editor-in-Chief of the IEEE Intelligent Transportation Systems Magazine (2009-2011). He has been program chair of the IEEE Intelligent Vehicles Symposium 2004 in Italy and General Chair of the IEEE Intelligent Vehicles Symposium 2011 in Germany. His automated driving team AnnieWAY has been finalist in the Darpa Urban Challenge 2007 and winner of the Grand Cooperative Driving Challenge in 2011.
Karlsruhe Institute of Technology
Jonas Sjöberg is Professor of Mechatronics and Head of the Mechatronic research group. Dr. Sjöberg’s research involves mechatronics, and mechatronic related fields, such as signal processing and control. Within these fields, he focuses on model based methods, simulations, system identification, and optimization for design and product development of mechatronic systems. Applications are, for example, Automotive Active Safety and Hybrid Electric Vehicles. Dr. Sjöberg also leads and supervises research and education at the undergraduate and graduate levels.
Chalmers University of Technology
Miguel Ángel Sotelo received the degree in Electrical Engineering in 1996 from the Technical University of Madrid, the Ph.D. degree in Electrical Engineering in 2001 from the University of Alcalá (Alcalá de Henares, Madrid), Spain, and the Master in Business Administration (MBA) from the European Business School in 2008. From 1993 to 1994, he held an Excellence Research Grant at the University of Alcalá, where he is currently a Full Professor at the Department of Computer Engineering and Vice‐president for International Relations. In 1997, he was a Research Visitor at the RSISE of the Australian National University in Canberra. His research interests include Self‐driving cars, Cooperative Systems, and Traffic Technologies. He is author of more than 250 publications in journals, conferences, and book chapters. He has been recipient of the Best Research Award in the domain of Automotive and Vehicle Applications in Spain in 2002 and 2009, and the 3M Foundation Awards in the category of eSafety in 2004 and 2009. He served as Auditor and Expert at FITSA Foundation for RTD Projects in the domain of automotive applications in 2004‐2010. Miguel Ángel Sotelo has served as Project Evaluator, Rapporteur, and Reviewer for the European Commission in the field of ICT for Intelligent Vehicles and Cooperative Systems in FP6 and FP7. He was Director General of Guadalab Science & Technology Park (2011‐2012) and co‐founder and CEO of Vision Safety Technologies (2009‐2015), a spin‐off company established in 2009 to commercialize computer vision systems for road infrastructure inspection. He is member of the IEEE ITSS Board of Governors and Executive Committee. Miguel Ángel Sotelo served as Editor‐ in‐Chief of the Intelligent Transportation Systems Society Newsletter (2013), Editor‐in‐Chief of the IEEE Intelligent Transportation Systems Magazine (2014‐2016), Associate Editor of IEEE Transactions on Intelligent Transportation Systems (2008‐2014), member of the Steering Committee of the IEEE Transactions on Intelligent Vehicles (since 2015), and a member of the Editorial Board of The Open Transportation Journal (2006‐2015). He has served as General Chair of the 2012 IEEE Intelligent Vehicles Symposium (IV’2012) that was held in Alcalá de Henares (Spain) in June 2012. He was recipient of the 2010 Outstanding Editorial Service Award for the IEEE Transactions on Intelligent Transportation Systems, the IEEE ITSS Outstanding Application Award in 2013, and the Prize to the Best Team with Full Automation in GCDC 2016. At present, he is IEEE Fellow and President of the IEEE Intelligent Transportation Systems Society.
University of Alcalá
Dr. Cristina Olaverri Monreal graduated with a Master’s degree in Computational Linguistics, Computer Science and Phonetics from the Ludwig-Maximilians University (LMU) in Munich 2002 and received her PhD 2006 in cooperation with BMW.She is the head of the Competence Team “Intelligent Technologies in Smart Cities” at the University of Applied Sciences Technikum Wien, Austria. Her research aims to minimize the barrier between users and systems in complex, dynamic scenarios that are critical to decision making processes, such as driving a vehicle and innovative forms of mobile and ubiquitous interaction approaches to human mobility. Her research interests lie in automated driving, multi-functional systems for in-vehicle information; overall efficiency of user and system utilization; driver behavior; simulation tools and research concerning Intelligent Transportation Systems (ITS). Dr. Olaverri is chair of the Technical Activities Committee on Human Factors in ITS. She is Vice-president of Educational Activities in the IEEE ITS Council Executive Committee and a member of the IEEE ITS Board of Governors (BoG). In addition, she serves as an associate editor and editorial board member of several journals in the field, including the IEEE ITS Transactions and the IEEE ITS Magazine. She was recently recognized for her dedicated contribution to continuing education in the field of ITS with the 2017 IEEE Educational Activities Board Meritorious Achievement Award in Continuing Education.
University of Applied Sciences Technikum Wien
Dominique Gruyer received his PhD in 1999 from University of Technology of Compiègne, France in the “systems control” specialty. Between 2001 and 2011, he was a researcher at INRETS in the LIVIC’s Perception team. Between 2010 and 2014, he was the LIVIC's "near and far perception" team leader. In 2014, he obtained his HDR (habilitation to manage researches) from University Of Evry (Paris Saclay) in "Automatic control" and the same year the position of Research Director at IFSTTAR. From 2015, he is the head of LIVIC. His work concerns the study and development of embedded perception and multi-source and multi-sensor data fusion using theories of uncertainty (probability, belief theory, possibility, fuzzy mathematics) for the design of informative/active/cooperative ADAS. He is also responsible and the main inventor of the SiVIC platform (Vehicles, Infrastructures and Sensors Simulator). He was involved in more than 20 projects ( French, European, International) and expertise ( Renault, VEDECOM, DGA, Fudjitsu, University Tongji …) about autonomous driving, cooperative embedded systems, local and global perception, vehicles/sensors/communication simulation. He has several long term international collaborations with CARR-Q (QUT), LIV (University of Sherbrooke), ACIS (UBC), and University of Tongji. From 2009 to 2015, he was co-founder and scientific expert for the company CIVITEC which markets pro-SiVIC software. Since April 2015, CIVITEC is become a subsidiary of ESI group and he is now a Scientific Director ("Perception systems and data fusion”) for this company (in cumulative activity).
LIVIC - IFSTTAR
Dr. Chan has been with UC Berkeley since 1994. He is a Research Engineer and serves as the Program Leader for Safety Research at California PATH (Partners for Advanced Transportation Technology) of Institute of Transportation Studies (ITS), http://www.path.berkeley.edu/. He is also serving as Associate Director of Berkeley Deep Drive, https://deepdrive.berkeley.edu/. Chan has 30 years of research experience in a broad range of automotive and transportation systems. He obtained his doctoral degree from Berkeley in 1988, and worked in the private sectors before joining PATH in 1994. Since then, he has been involved in a variety of research projects. His research experience spans from vehicle automation, driver-assistance systems, sensing and wireless communication technologies, to driver behaviors, vehicular safety and highway network safety assessment.
Dr. John D. Lee is the Emerson Electric Professor at the University of Wisconsin-Madison. He has investigated the issues of human-automation interaction, particularly trust in automation, for over 20 years. More specifically, his research considers trust and acceptance, as well as issues of distraction and engagement. He helped to edit the Handbook of Cognitive Engineering, which focusses on human interaction with increasingly autonomous systems. He is also a co-author of a popular textbook: Designing for People: An introduction to human factors engineering.
University of Wisconsin-Madison
Guillaume Devauchelle has been Vice-President, Innovation and Scientific Development of the Valeo Group for the past five years. Prior to this, he headed up the Group’s R&D teams starting in 2004. Guillaume joined the Valeo Group in 2000 following the acquisition of Sylea, where he had served as Senior Vice-President. Since graduating from École Centrale de Paris in 1981, he has spent his entire career in the aerospace and automotive equipment industries.Guillaume is particularly involved in public-private research initiatives in his capacity as:
Vice-President, R&D Innovation, Valeo
After a PhD degree in computer science at the university of Strasbourg in 1998, I came to ENST Bretagne for a research position. I am currently professor (HDR) at IMT Atlantique and the leader of the Inria/TACOMA research team. Since 2013, I am the scientifique director of the RTS (Network, Telecommunications and Services) IRISA's department. Since 2001, I have been mainly interested in the convergence between IP networks and mobile telephony networks, and therefore in heterogeneous handover management. More recently, I have been involved in projects dealing with the mobility of the networks and its application to ITS (Intelligent Transportation System). Currently, I am interested in how to provide pervasive applications with a good perception of their environment through localized interactions. More specifically I am interested in cooperative autonomous vehicles. I am cofounder and scientific advisor of the YoGoKo startup which provides communication solutions for cooperative ITS (Intelligent Transport Systems) including autonomous vehicles.