Latest Advancements in Intelligent Vehicles Research in Europe
Abstract: There are an estimated 300 million drivers in the EU Member States sharing a drivable space that becomes more and more limited due to the urban sprawl. The expanding number of vehicles represents a real challenge for the environment and for road transportation in terms of safety, efficiency and energy consumption. Since the beginning, the European Commission has seen in the Information and Communication Technologies (which enable building Intelligent Cars) as new intelligent solutions that contribute to solving the key societal challenges described above by increasing road safety, the overall efficiency of the transport systems and by contributing to a more efficient use of fuel. Initially developed as advanced driver assistance systems these intelligent solutions opened the road progressively to the design of more complex mobility systems that needed different levels of vehicles intelligence and hardware on-board integration including V2X cooperative technologies and advanced traffic management systems. This keynote will focus on the development of intelligent vehicles in Europe from a research perspective. Major national and European projects will be presented to illustrate different business models and different levels of automation integration. Through examples, barriers and scientific and technological challenges will be evoked as well as research perspectives.
Bio: Dr. Fawzi Nashashibi, 50 years, is a Research Director and the Program Manager of RITS Team at INRIA (Paris) since 2010. He has been senior researcher and Program Manager in the robotics center of Mines ParisTech since 1994 and was a project manager at ARMINES since May 2000. He obtained a Master’s Degree in Automation, Industrial Engineering and Signal Processing in 1989 and a PhD in Robotics from Toulouse University prepared in (LAAS/CNRS) laboratory in 1993, and a HDR Diploma (Accreditation to research supervision) from University of Pierre et Marie Curie (Paris 6) in 2005. He played key roles in more than 50 European and national French projects some of which he has coordinated. He is also involved in numerous collaborations with French and international academics and industrial partners worldwide and he is also involved in several international Chairs. He is author of more than 150 publications and patents in the field of ITS and ADAS systems. From 1994 to 2016 he was the thesis director and supervisor of 30 PhD theses, and he was a PhD and HDR jury member of 60 PhD thesis and HDR committees. He was also member of several laboratories evaluation committees and helped in the evaluation of French and European research projects. Since 1994 he is also a lecturer in several universities in Paris Region in the fields of perception, infographics and mobile robotics. He is a member of IEEE and member of the IEEE ITS Society and the IEEE Robotics & Automation Society. He is an Associate Editor of several IEEE international journals and conferences such as T-ITS, T-IV, ICRA, IROS, IV, ITSC, ICARCV. He is also member of the TRB AHB30 committee (Vehicle-Highway Automation). Since December 2015 Fawzi Nashashibi was the co-founder of AutoKAB, a French spinoff company dedicated to the design and development of automated intelligent mobility systems based on embedded technologies and multi-sensor integrated platforms.
AI 2.0 and Future Challenge for IV: A Chinese Perspective and Practice
Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an 710049, China
Chinese Academy of Science, Beijing China
Abstract: The accelerated development of artificial intelligence brings new opportunities for human life and social improvement. In order to promote the deep integration of artificial intelligence and economic society and further enhance China’s technological innovation capability in the field of intelligent technology, in February this year, Chinese government has decided to set up a major R&D project in artificial intelligence, within the framework of “Science and Technology Innovation 2030”, a national science and technology development plan. The overall goal of this project is to explore the next generation theory and technology of artificial intelligence, and focus on five areas: Big-data-based AI, Internet-based crowd intelligence, cross-media intelligence, hybrid augmented intelligence and Autonomous-intelligent systems. In addition, in 2008 the National Natural Science Foundation of China (NNSFC) launched a major research plan on Cognitive Computing of Visual and Auditory Information (2008-2017), the total expenditure of this plan is 190 million yuan. In this research program, autonomous vehicles have been used as an integrated verification platform for the study of new cognitive computing models. Since 2009, NNSFC has held annual autonomous vehicle competitions, called Future Challenge for IV. This talk will overview the Chinese perspective and practice on developing AI and related autonomous vehicle research activities in the last decade.
Bio: Nanning Zheng is a Distinguished Professor of Electrical and Information Engineering at Xi’an Jiaotong University (XJTU). He graduated from the Department of Electrical Engineering of XJTU in 1975. He received the MSc in Information and Control Engineering from XJTU and the PhD in Electrical Engineering from Keio University, Japan in 1981 and 1985 respectively. He is the Founder and Director of the Institute of Artificial Intelligence and Robotics at Xi’an Jiaotong University www.aiar.xjtu.edu.cn. His primary area of research is computer vision based on selective attention and learning, advanced intelligent computing architecture, autonomous vehicle and brain-inspired computing. Dr. ZHENG is a Fellow of IEEE, a member of Chinese Academy of Engineering. He is a Council Member of the International Association for Pattern Recognition (IAPR), a member of the Academic Degree Commission of the State Council of China and a member of the Committee of Experts on the national major R&D project AI 2.0. Currently he is President of Chinese Association of Automation(CAA), Vice President of Chinese Society for Cognitive Science (CSCS), and a member of the Experts Advisory Committee of the Microsoft Asia Research Institute. Dr. ZHENG received IEEE ITS institute lead award in 2014, and several awards from Chinese government, including the Second Prize for National Technological Invention Award, the Second Prize for National Science and Technology Progress Award and the Second Prize of National Natural Science. He has (co-)authored more than 500 publications and 48 patents (including US patent). He wrote a book entitled “Computer Vision and Pattern Recognition” (in Chinese) published by National Defense Industry Press (1998) and the book on “Statistical Learning and Pattern Analysis for Image and Video Processing” (Springer 2009), this book has been downloaded more than 16,000 times.
Bio: Dr. Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. Dr. Wang has been a researcher, educator, and practitioner of intelligent and complex systems for more than 30 years. He joined the University of Arizona in 1990 and became a Professor and Director of the Robotics and Automation Lab (RAL) and Program in Advanced Research for Complex Systems (PARCS). In 1999, he founded the Intelligent Control and Systems Engineering Center at the Institute of Automation, Chinese Academy of Sciences (CAS), Beijing, China, under the support of the Outstanding Oversea Chinese Talents Program from the State Planning Council and “100 Talent Program” from CAS, and in 2002, was appointed as the Director of the Key Lab of Complex Systems and Intelligence Science, CAS. From 2006 to 2010, he was Vice President for research, education, and academic exchanges at the Institute of Automation, CAS. Since 2005, he has been the Dean of the School of Software Engineering at Xi’an Jiaotong University. In 2011, he became the State Specially Appointed Expert and the Director of the State Key Laboratory of Management and Control for Complex Systems. Dr. Wang has published extensively in modeling, analysis, control and management of complex systems. His current research is focused in methods and applications for parallel systems, social computing, and knowledge automation. He was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems from 1995 to 2000, the Series on Intelligent Control and Intelligent Automation from 1996 to 2004, and IEEE Intelligent Transportation Systems from 2006 to 2008, and the EiC of IEEE Intelligent Systems from 2009 to 2012. Currently, he is the EiC of IEEE Transactions on ITS. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, ASME conferences. He was the President of IEEE ITS Society from 2005 to 2007, Chinese Association for Science and Technology (CAST, USA) in 2005, and the American Zhu Kezhen Education Foundation from 2007-2008. Since 2008, he is the Vice President and Secretary General of Chinese Association of Automation. Dr. Wang is member of Sigma Xi and an elected Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the National Prize in Natural Sciences of China and awarded the Outstanding Scientist by ACM for his work in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009 and 2011, respectively. In 2014, Dr. Wang received the IEEE SMC Society Norbert Wiener Award.
Autonomous Driving: Current and Future Prospects
Senior Director ADAS
Abstract: The ADAS sector is probably the most agile field of vehicle development. OEMs and Tier 1s are no longer the only players but are challenged by competitors from other domains, mostly, but not only rom the IT sector. Therefore, to stay ahead of completion new approaches for development of ADAS functions are needed, that are much faster than those currently used in ADAS engineering. This does in particular apply for latecomers in the ADAS field. The talk describes, how Visteon is addressing this particular challenge, and introduces, what has been achieved by them so far. Furthermore, an outlook is given on what can be expected in the not so far future.
Bio: After his degree in Mechanical Engineering at University of Karlsruhe in November 1887 Matthias Schulze started his career in truck engine development at Daimler Trucks. In April 1991 he became in touch with ADAS systems and Telematics for the first time, when he joined a team at Daimler Corporate Research that coordinated the research activities of the European Research program PROMETHEUS. When PEROMETHEUS ended in December 1994 he stayed with Daimler Research where he became responsible for a project on truck platooning and later for a team dealing with autonomous driving. In January 2002 he moved to the Telematics Center at Daimler Corporate Research, where as a Senior Manager became responsible for Research in Telematics based driver assistance functions. In May 2010 he returned as a Senior Manager to the Driver Assistance Systems Center at Daimler Research & Advance Engineering, where he was first responsible for developing driver support functions and later for environment perception. In January 2017 he joined Visteon Electronics as a Senior Director to set up an Advance Engineering Group for ADAS.
Connected Automation – Improving System Performance
Federal Highway Administration
Abstract: FHWA is defining a path towards transportation system level benefits through the application of connected vehicle and automated vehicle technologies. The presentation will discuss leveraging these transformative technologies to improve freeway and arterial performance. Discuss what the Federal Highway Administration is doing with respect to research, implementation planning and analysis and data collection and sharing. Although much of the research has focused upon developing the vehicle-based systems, the corresponding needs for incorporating wireless connectivity with the highway infrastructure must also be addressed. Deployment concepts and strategies, a credible business case, and deployment guidelines are needed to allow states to understand how and where these technologies may effectively be deployed. Automotive OEM’s who introduce these applications on consumer vehicles must also perceive that state agencies recognize the deployment benefits and will help provide initial market opportunities that can allow these technologies to be commercially viable. FHWA has accordingly engaged the Connected Vehicle Pooled Fund, with participation by fourteen state DOT’s, to explore direct collaboration with the Collision Avoidance Metrics Partnership (a precompetitive group of 11 auto manufacturers) and FHWA so that the full potential of connected automation applications can be recognized and possible deployment opportunities can be developed.
Bio: In 2016, Brian Cronin was appointed into the Senior Executive Service (SES) position of Director, Office of Operations Research and Development, Federal Highway Administration (FHWA). In this capacity, he provides executive leadership and guidance for improving and advancing transportation operations-related technologies and innovations through research, development and testing. Prior to his appointment into the SES, Brian served for 8 years as the Intelligent Transportation Systems (ITS) Research Team Leader in the ITS Joint Program Office (JPO). In this position, he provided strategic leadership and direction in the development of ITS solutions to improve transportation mobility, safety, and the environment. Brian provided technical leadership for the development of the connected vehicle research program and most recently, the Secretary’s Smart City Challenge. Prior to joining FHWA in 2003, Brian served as the Advanced Public Transportation Systems Team Leader with the Federal Transit Administration where he oversaw research and deployment of transit related ITS technologies to improve transit operations. Brian holds a Master’s Degree in Civil Engineering from Texas A&M University and a Bachelor’s Degree in Civil Engineering from Virginia Tech. Brian is also a licensed Professional Engineer in the State of Maryland. Prior to his appointment into the SES, Brian served for 8 years as the Intelligent Transportation Systems (ITS) Research Team Leader in the ITS Joint Program Office (JPO). In this position, he provided strategic leadership and direction in the development of ITS solutions to improve transportation mobility, safety, and the environment. Brian provided technical leadership for the development of the connected vehicle research program and most recently, the Secretary’s Smart City Challenge. Prior to joining FHWA in 2003, Brian served as the Advanced Public Transportation Systems Team Leader with the Federal Transit Administration where he oversaw research and deployment of transit related ITS technologies to improve transit operations. Brian holds a Master’s Degree in Civil Engineering from Texas A&M University and a Bachelor’s Degree in Civil Engineering from Virginia Tech.