Abstract: The automotive industry has sought to harness the potential of direct vehicle-to-everything (V2X) communication since the early days of the wireless revolution. Lives saved. Crashes prevented. Commuting hours reduced to minutes. Like most new things it is partly real and partly hype. But, the real part is compelling. As the years of research and standardization and testing and pilot deployments unfolded, key stakeholders who usually compete found a way to work together toward a common goal: widespread deployment of a single communication technology that would allow every car to talk to every other car. As technical barriers were overcome, creative thinkers found even more uses for V2X. The most important new entrant is Cooperative Automated Driving (CAD). So, why don’t we have this in our cars yet? This talk will explore the complex factors that govern V2X deployment, and what we can do to get back on track to reach our goal of widespread, interoperable, direct, vehicle-to-everything communication.
Biography: Dr. John Kenney is Director of networking research and a Principal Researcher at the Toyota InfoTech Labs in Mountain View, California. He represents Toyota in international standards organizations and industry research consortia, including SAE, IEEE, ETSI and the Car2Car Communications Consortium. He also represents Toyota in DSRC Spectrum Sharing discussions with the US Government, European regulators, and the Wi-Fi industry. Prior to his work with Toyota, John was a member of the Tellabs Research Center and an Adjunct Professor at the University of Notre Dame. He has graduate degrees from Stanford and Notre Dame.
Abstract: Semantic understanding of complex traffic scenes is an important area of research for ubiquitous deployment of advanced driving assistance and automated driving technologies in urban environments. Although recent breakthroughs in machine learning and deep neural networks have accelerated progress for visual scene recognition, technologies that enable higher level reasoning, interpretation, and forecasting of complex events in urban environments is a challenging and unsolved problem. To address these challenges and advance the state-of-art in visual understanding of traffic scenes, this talk presents research challenges explored at Honda Research Institute, USA. In particular, we present activities in 3D understanding and knowledge representation in traffic scenes, focusing on creation of benchmark datasets, automatic generation of semantic description of 3D scenes, and machine learning research for traffic scene classification and prediction of participant behaviors.
Biography: Dr. Behzad Dariush is a Chief Scientist at Honda Research Institute, USA (HRI-US) in San Jose California. At HRI-US, he manages research activities in machine learning and intelligent data analytics to support Honda’s next generation mobility systems. The primary focus of his team’s research at HRI-US is to advance the state of the art in semantic understanding of traffic scenes from video and other sensing modalities in order to create unique value for automated and advanced driver assistance systems. His past research activities include humanoid robotics, human assist and wearable-technologies, and human motion analysis and synthesis. He holds graduate degrees in Electrical Engineering from The Ohio State University.
Abstract: The starting point of this talk is Cognitive Dynamic System (CDS), the ideas of which go back to 2006. However in today’s new world, CDS consists of two major items: 1) CDS-I, which simulates certain features of the brain, 2) CDS-II, which goes deeper in the brain. Under these two brief introductions, we now introduce the following statement: The Principle of Predictive Adaptation is for new practical applications. To elaborate, we will be focusing on the following pair of related but different topics, simply stated as follows: 1) Cyber Physical Systems, which are internal, 2)Cybersecurity, which is external. As different as they are, they do nevertheless settle on the same end result: Risk Sensitive Cognitive Action.
Biography: Simon Haykin received his B.Sc. (First-class Honours), Ph.D., and D.Sc., all in Electrical Engineering from the University of Birmingham, England. He is a Fellow of the Royal Society of Canada, and a Fellow of the Institute of Electrical and Electronics Engineers. He is the recipient of the Henry Booker Gold Medal from URSI, 2002, the Honorary Degree of Doctor of Technical Sciences from ETH Zentrum, Zurich, Switzerland, 1999, and many other medals and prizes.
He is a pioneer in adaptive signal processing with emphasis on applications in radar and communications, an area of research that has occupied much of his professional life. In the mid-1980s, he shifted the thrust of his research effort in the direction of Neural Computation, which was re-emerging at that time. All along, he had the vision of revisiting the ﬁelds of radar and communications from a brand new perspective. That vision became a reality in the early years of this century with the publication of two seminal journal papers: «Cognitive Radio: Brain-empowered Wireless communications», which appeared in IEEE J. Selected Areas in Communications, Feb. 2005, and «Cognitive Radar: A Way of the Future», which appeared in the IEEE J. Signal Processing, Feb. 2006.
Cognitive Radio and Cognitive Radar are two important parts of a much wider and integrative field: Cognitive Dynamic Systems, research into which has become his passion. His current research exploits the Principle of Predictive Adaptation to achieve the following objective: Risk Sensitive Cognitive Action, the purpose of which is to control Cognitive Dynamic Systems as if the presence of uncertainties do not exist.
Abstract: For many years, the automobile industry and multiple governments developed standards, conducted tests, and were planning to deploy V2X communications using IEEE 802.11p. 802.11p was chosen as the PHY and MAC layers for DSRC (Dedicated Short Range Communications) in the United States, and ITS G5 in Europe. In the two years since the completion of 3GPP Release 14 supporting cellular based vehicle-to-vehicle communications (C-V2V), the industry direction has been rapidly changing. Several factors, including the better performance of 3GPP Release 14, synergies with cellular radios already going into many automobiles, new energy, and timing, are leading to the choice of C-V2X and to its commercial deployment.
This keynote will provide the current status of V2X communications, including its readiness for commercialization, in multiple regions of the world. It will describe the performance benefits of C-V2X communications, the reuse of the upper layer protocols developed for DSRC and ITS-GS, and the various testing and certification programs. The presentation will conclude with a vision for future V2X communications and will describe the work now underway in 3GPP to bring a second generation of C-V2X communications based upon NR.
Biography: Dr. Edward G. Tiedemann, Jr. is a Qualcomm Fellow and a Senior Vice President of Engineering of Qualcomm Technologies, Inc. He leads Qualcomm’s worldwide standardization and industry organization activities. Dr. Tiedemann was instrumental in the design and development of the TIA/EIA/IS-95 CDMA system, also called cdmaOne™. He led Qualcomm and much of the industry’s efforts in the design and development of the third-generation cdma2000® system. Dr. Tiedemann holds over 200 US patents and has participated in many papers, conference lectures, and industry panels. He currently sits on the board of several industry organizations. He is interested in multiple topics in communications including 5G, IoT, and V2x.
Prior to becoming involved with terrestrial wireless communications, Dr. Tiedemann was involved with numerous commercial and military satellite systems. From 1977 to 1988, Dr. Tiedemann was at MIT Lincoln Laboratory, where he worked on mmWave satellite communications systems.
Dr. Tiedemann holds the Ph.D. degree from MIT where he worked in the areas of queueing theory and communications networks. He holds the Master of Science degree from Purdue University and a Bachelor of Science degree from Virginia Polytechnic Institute and State University (Va Tech).
Dr. Tiedemann is past chairman of the Advisory Board of the College of Engineering at Virginia Polytechnic Institute and State University (Va Tech). He currently sits on the Advisory Board of the Purdue University School of Electrical and Computer Engineering. Dr. Tiedemann was General Chair of GLOBECOM 2015. He is also a member of the Board of Overseers of the Peabody Essex Museum.