KEYNOTE 1: JEFF SCHEIDER, UBER ATG
SELF DRIVING CARS AND AI: TRANSFORMING OUR CITIES AND OUR LIVES
SENIOR AUTONOMY ENGINEERING MANAGER
UBER'S ADVANCED TECHNOLOGIES GROUP
Artificial intelligence and machine learning are critical to reaching full autonomy in self driving cars. Two autonomy systems will be presented along with the use of machine learning in each component of them. The presenter will discuss Uber's progress in creating self driving cars for its network and will finish with some observations about the potential impact of these systems in our daily life.
Dr. Jeff Schneider is a senior autonomy engineering manager at Uber's Advanced Technologies Group. He is currently on leave from Carnegie Mellon University where he is a research professor in the school of computer science. He has 20 years experience developing, publishing, and applying machine learning algorithms in government, science, and industry. He has over 100 publications and regularly gives talks and tutorials on the subject.
Previously, Jeff was the co-founder and CEO of Schenley Park Research, a company dedicated to bringing machine learning to industry. Later, he developed a machine learning based CNS drug discovery system and commercialized it during two years as Psychogenics' Chief Informatics Officer. Through his research, commercial, and consulting efforts, he has worked with dozens of companies and government agencies around the world.
KEYNOTE 2: DAVID ANDERSON, US DOE
ENERGY EFFICIENT MOBILITY SYSTEMS: A RESEARCH UPDATE FROM THE U.S. DEPARTMENT OF ENERGY
DAVID L. ANDERSON
PROGRAM MANAGER ENERGY EFFICIENT MOBILITY SYSTEMS
VEHICLE TECHNOLOGIES OFFICE
OFFICE OF ENERGY EFFICIENCY AND RENEWABLE ENERGY
U.S. DEPARTMENT OF ENERGY
The U.S. Department of Energy’s Vehicle Technologies Office (VTO) supports early-stage research and development of efficient, cost-effective, and sustainable powertrain, vehicle, and transportation technologies that that enable individuals and businesses to save money and use less energy. Through its Energy Efficient Mobility Systems (EEMS) Program, VTO conducts transportation system research at the vehicle, traveler, and system levels, and identifies opportunities to use emerging technologies such as automation and connectivity to improve the mobility of people and goods by making transportation safer, more efficient, and more affordable.
The EEMS Program has created sophisticated mobility modeling and simulation tools, developed control algorithms to reduce fuel consumption and improve traffic flow, performed analyses to evaluate the energy and mobility benefits of future transportation scenarios, and studied the important role of traveler decision-making in the transportation system. David Anderson, VTO’s EEMS Program Manager, will discuss why this research area is a priority to the Energy Department, describe major EEMS Program activities, and summarize recent technical results from specific research projects.
David Anderson is the Program Manager for the Energy Efficient Mobility Systems (EEMS) Program within the U.S. Department of Energy’s Vehicle Technologies Office (VTO). He leads a team responsible for a research portfolio that focuses on understanding the potentially dramatic energy outcomes that may result from emerging disruptive transportation technologies such as connected and automated vehicles, shared mobility, and advanced powertrains, and aims to identify and develop solutions that support an increase in mobility energy productivity. David earned his Bachelor of Science degree in Computer Engineering from Clemson University, and a Master of Environmental Management degree from Duke University where he focused on transportation energy and cost-modeling for the automotive lithium-ion battery supply chain. He has served in DOE’s Vehicle Technologies Office for over eight years, and has led research programs focused vehicle and transportation system modeling and simulation, integration of plug-in vehicles with the electric grid, and research to reduce parasitic loads in both conventional and electric-drive vehicles. David previously worked as a design engineer in the semiconductor industry for thirteen years, earning three patents related to his work while at NVIDIA.
KEYNOTE 3: ARNAUD DE LA FORTELLE, MINES PARISTECH
GLOBALIZATION AND LOCALIZATION CHALLENGES OF COOPERATIVE ITS
ARNAUD DE LA FORTELLE
MINES PARISTECH – PSL RESEARCH UNIVERSITY
Technology is pervasive: a good solution to a problem disseminates quickly everywhere, whatever the origin. A recent example is the Internet, which was initiated within the US military and quickly adopted elsewhere including in the USSR. Intelligent Transportation Systems (ITS) has become a global phenomenon, creating smart infrastructures, vehicles and users. On the other hand, surface transportation applications are policy driven and locale oriented, i.e. a transportation system is rooted in a region: Paris is not San Francisco or Shanghai…each often adopts its own policies. What happens with Cooperative ITS (C-ITS)? Isn’t it exacerbated by increasing widely usage of AI?
There have been ample examples involving conflicts between innovative technology based solutions and policies. Transportation authorities often argue the technological solutions do not take enough responsibility. Will these conflicts continue for the deployment of C-ITS? Advancement of robotics and Artificial Intelligence makes it feasible for developers to tune the C-ITS enabled vehicles to meet specific needs and requirements. However, can this lead to locally acceptable systems? How can the existing infrastructure-based policies at the local transportation authority level be reinvented to accommodate the deployment of C-ITS?
The International Transport Forum at OECD has begun an interesting global work on data-driven policy. It would be desirable to see globally applicable policies and frameworks, with local parameters to be developed. This talk will give some insights of the dialog between technological innovation communities, the local authorities and the society at large on the challenges of globalization and localization of C-ITS.
Arnaud de La Fortelle is a professor at MINES ParisTech within PSL Research University. Prof. de La Fortelle was the president of the French ANR scientific evaluation committee for sustainable mobility and cities from 2015 to 2017. He also served as an expert for the European H2020 program for many years. He has also been invited to provide expert advices in other countries (Belgium, Canada, China, Czech Republic…). In 2017-2018 he spent one year at UC Berkeley as a visiting professor (teaching control of distributed systems and working with the Berkeley Deep Drive consortium). He has been invited in several other universities for shorter visits (EPFL in Switzerland, MSU in Russia…).
Prof. de La Fortelle has engineer degrees from the French École Polytechnique and École des Ponts et Chaussées (2 top French institutions) and a Ph.D. in Applied Mathematics. His main research interests include cooperative systems (communication, data distribution, control, mathematical certification) and their applications (e.g. Cybercars, collective taxis). He chairs the international research chair Drive for All with sponsors Valeo, Safran and Peugeot and partners UC Berkeley, EPFL and Shanghai Jiao Tong University, He also leads the work on Urban Logistics with sponsors Renault, POMONA, La Poste, Ville de Paris and ADEME.
Prof. de La Fortelle has been elected in 2009 to the Board of Governors of IEEE ITSS (Intelligent Transportation System Society). He has been a member of several program committees for IEEE conferences and is the General Chair of the IEEE Intelligent Vehicle Symposium to be held in Paris in June 2019. Closely working with IEEE ITSS, Prof. de La Fortelle and Prof. Stiller (KIT) have organized the international Summer School on Cooperative Interactive Vehicles (2017 & 2018).