• Key dates

    Issue of call for abstracts :
    mid-February 2018

    Deadline for abstract submission:
    25 May 2018

    Notification of abstract selection:
    20 June 2018

    Deadline submission of full papers:
    3 Sep 2018

    Provision of peer-review evaluation:
    3 Oct 2018

    Deadline submission of final version of papers: 23 Nov 2018


  • Andrew Dempster
    Professor, University of New South Wales, Australia
    Use of GNSS Data as Evidence

    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.


    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.
    Jonathan Kelly
    Ass. Prof., University of Toronto, Canada
    The Past, Present, and Future of Visual-Inertial Navigation

    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.

    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
    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
    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.

    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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