Andrew Dempster
Professor, University of New South Wales, Australia
Use of GNSS Data as Evidence
Abstract
Digital data as evidence is not new. Procedures and approaches have been developed for what is called "digital forensics". Textbooks have even been written for some types of satellite data such as remote sensing. However, there is very little to assist courts in knowing whether GNSS data is admissible, or of expected quality. This talk explores how lawyers and expert witnesses can deal with GNSS data with confidence.
Biography
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Professor Andrew Dempster is Director of the Australian Centre for Space Engineering Research (ACSER) in the School of Electrical Engineering and Telecommunications at the University of New South Wales (UNSW).
He has a BE and MEngSc from UNSW and a PhD from the University of Cambridge in efficient circuits for signal processing arithmetic. He was system engineer and project manager for the first GPS receiver developed in Australia in the late 80s and has been involved in satellite navigation ever since. His current research interests are in satellite navigation receiver design and signal processing, areas where he has six patents, and new location technologies. He is leading the development of space engineering research at ACSER.
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Zak Kassas
Ass. Prof., University of California, Riverside, USA
No GPS, No Problem: Exploiting Signals of Opportunity for Resilient and Accurate Autonomous Vehicle Navigation
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The steady trend towards autonomous vehicles will come with a demand for full situational awareness and extremely reliable and accurate navigation systems. With no human in the loop, the cost of navigation system failure will be severe. Reliance on GPS for navigation has become a single point of failure. The recent uptick in cyber attacks on GPS (jamming and spoofing) have exposed the vulnerability of GPS-based navigation and demonstrated the necessity for a complementary navigation system.
This talk will present a framework for resilient and accurate autonomous vehicle navigation by exploiting ambient radio frequency (RF) signals of opportunity, which are not intended as navigation sources. In this framework, specialized vehicle-mounted radios collaboratively draw relevant positioning and timing information from ambient signals of opportunity to build and continuously refine a spatiotemporal signal landscape map of the environment within which the vehicles simultaneously localize themselves in space and time. We will present an end-to-end research approach, spanning theoretical modeling and analysis of signals of opportunity, specialized software-defined radio (SDR) design, practical navigation algorithm development, and experimental demonstration of our system on ground vehicles and unmanned aerial vehicles (UAVs).
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Biography
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Zak Kassas is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of California, Riverside (UCR). He received a B.S. with Honors in Electrical Engineering from the Lebanese American University, an M.S. in Electrical and Computer Engineering from The Ohio State University, and an M.S.E. in Aerospace Engineering and a Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin. Prof. Kassas’ research in autonomous navigation in GPS-challenged environments has been featured in dozens of national and international media outlets and received several awards. Since joining UCR in Fall 2014, his research has attracted nearly $2.5M in federal grants from the Office of Naval Research (ONR), the National Science Foundation (NSF), and the National Institute of Standards and Technology (NIST). His current research interests include cyber-physical systems, autonomous vehicle navigation, and intelligent transportation systems. |
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Jonathan Kelly
Ass. Prof., University of Toronto, Canada
The Past, Present, and Future of Visual-Inertial Navigation
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Abstract
Fusing visual and inertial sensor data has been shown to provide robust and reliable navigation information under a wide range of dynamic conditions, without the need for GNSS aiding. This talk will provide context for various fusion techniques, describe current trends and applications, and discuss potential future advances in the area. In particular, the talk will explore the use of visual-inertial systems for the simultaneous localization and mapping task that has been extensively studied by the robotics community. |
Biography
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Jonathan Kelly is an Assistant Professor at the University of Toronto Institute for Aerospace Studies, and directs the Space & Terrestrial Autonomous Robotic Systems (STARS) Laboratory. Prior to joining the University of Toronto, he was a postdoctoral researcher in the Robust Robotics Group at the Massachusetts Institute of Technology. Dr. Kelly received his PhD degree from the University of Southern California, where his dissertation work focused on calibration methods for visual-inertial navigation systems. Prior to graduate school, he was a software engineer at the Canadian Space Agency in Montreal, Canada. His research interests lie primarily in the areas of sensor fusion, estimation, and machine learning for navigation and mapping, applied to both robotics and human-centred assistive technologies |
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Valérie Renaudin
Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), France
Integrating Human Dimension in the Development of Pedestrian Navigation
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The rise of new connected objects handheld, worn on the wrist, as jewelry or on glasses offers new opportunities for improving people's mobility. In parallel, the complexity of human movements introduces new challenges in the development of positioning and navigation algorithms for people. Finding the right strategy to fuse available signals for estimating an accurate and reliable location everywhere can be complex. To handle this issue, this talk discusses the current status and ongoing trends in pedestrian navigation with a focus on pedestrian dead reckoning approaches. It addresses the integration of human gait features to improve displacement estimation models. Novel use of digital urban data and degraded urban radio signal measurements to improve the pedestrian’s location estimate in hybridization filter is also presented.
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Biography
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Valerie RENAUDIN received the M.Sc. degree in geomatics engineering in 1999 and the Ph.D. degree in computer, communication, and information sciences from EPFL, Switzerland in 2009. She was a Technical Director with Swissat Company, developing real-time geopositioning solutions based on a permanent GNSS network and a Senior Research Associate with PLAN Group, University of Calgary, Canada. She is currently leading the GEOLOC Laboratory at IFSTTAR in France. Her research focuses on outdoor/indoor navigation using GNSS, inertial and magnetic data, particularly for pedestrians to improve sustainable personal mobility. She is the recipient of the European Marie Curie Career Integration Grant for the smartWALK project. |
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