• Key dates

    Abstract submission opening :
    February 2017

    Abstract submission deadline:
    15 May 2017

    Notification to authors:
    8 June 2017

    Full paper submission deadline:
     31 July 2017

    Provision of peer review evaluation:
    20 September 2017

    Deadline for final paper and presentation  submission:
     24 November 2017
  • Tutorials

    3D Vision: Camera Motion and Scene Structure from Multiple Views
    Javier Civera
    Assoc. Prof., University of Zaragoza, Spain
    General Objective: The course aims to provide the basic knowledge to extract 3D information from images. Specifically, the course will be focused on estimating the 6 DOF motion of a camera and a 3D reconstruction of the scene, using only (or mainly) the information contained on the images taken by the camera.
     
    Pre-requisite:  Basics of Algebra and Calculus (Matrices, systems of equations, Least Squares...)
     
    Content:
    • PART 1
      • Introduction and applications.
      • Camera Geometry: Projection and Calibration 
    • PART 2
      • Two view Geometry: Epipolar Geometry and Fundamental Matrix.
      • Stereo.
      • N-view Computational Methods: Bundle Adjustment.
      • Camera Tracking and SLAM 
    • PART 3
      • Software tools and practical example.
      • Limitations and future directions.


     
    Biography
    Javier Civera received the Ph.D. degree from the University of Zaragoza, Zaragoza, Spain, in 2009.
    He is currently an Associate Professor at the University of Zaragoza, teaching computer vision, control, and machine learning courses. He has participated in several EU-funded, national and technology transfer projects related to vision and robotics and has been funded for research visits to Imperial College (London, U.K.) and ETH (Zurich, Switzerland). He has coauthored over 30 publications published in top conference proceedings and journals, receiving more than 2400 references (GoogleScholar). His research interests include use of 3-D vision, cloud architectures and learning algorithms to produce robust and real-time vision technologies for robotics, wearables, and AR applications.
     
    GNSS Challenges, Performance, Augmentation and Alternatives in Urban Environments
    Gérard Lachapelle
    Professor Emeritus, University of Calgary, Canada
    General Objective: Introduce attendees to the challenges of GNSS signals and performance in outdoor and indoor urban environments for pedestrians and vehicles and review aiding technologies and obstacle avoidance sensors for vehicles.

    Pre-requisite: General background in engineering concepts and GNSS basics
     
    Content:
    • PART 1– GNSS Performance in degraded environments
      • Why and when is GNSS denied or partly denied?
      • Code versus carrier phase
      • The antenna conundrum:  size, phase center, line-of-sight or non-LOS
      • Two performance contributing factors:  Signal noise and geometry
      • Signal attenuation and multipath in the indoors and canyons
      • Examples of pedestrian and vehicular performance
      • Does equipment & firmware selection matters? 
    • PART II -  Replacement and Aiding Sensors
      • RF methods other than GNSS: beacons and received signal strength, e-beacons in buildings
      • Magnetometers, barometers, inertial sensors [rate gyros & accelerometers]
      • Trajectory length estimation with GNSS and aiding sensors
      • Tracking systems and people activity monitoring
      • The changing role of mobile phones 
    • PART III– Vehicular Navigation Sensors
      • Navigation [where I am and where to go] and road safety [collision/obstacle avoidance]
      • The GNSS multipath issue
      • Aiding sensors on vehicles:  wheel speeds, differential odometry, reduced inertial measuring units, map matching, vision, WiFi [undergrounds]
      • GNSS for Vehicle-To-Vehicle (V2V) and Vehicle-To-Infrastructure (V2I) technologiesReview of collision avoidance lane departure sensors












     
    Biography
    Professor Emeritus Gérard Lachapelle held a Canada Research Chair in wireless location for 14 years in the Department of Geomatics Engineering, the University of Calgary, Canada, untill his formal retirement in 2015. He had been a professor since 1988 and Department Head from 1995 to 2003. He also held an iCORE Chair from 2001 to 2011. Upon arriving in Calgary in 1980, he worked in industry for eight years where he was part of a team that started GPS research, development and applications in Canada.  Since joining the University of Calgary, he and his colleagues in the Position, Location And Navigation (PLAN) Group have developed numerous novel algorithms, processes, software and patents related to Global Navigation Satellite Systems (GNSS) and positioning that have been licensed worldwide. He and his research team now focus on signal processing in weak signal environments and on natural and electronic interference mitigation. In the process, he has trained over 140 MSc and PhD students that are now contributing to the GNSS industry in many parts of the world. He holds degrees for Laval University, the University of Oxford, the University of Helsinki and the Technical University at Graz. Professor Lachapelle has received scores of awards for his work, including the (U.S.) Institute of Navigation Johannes Kepler Award in 1997 and fellowship in the Royal Society of Canada, the Institute of Navigation, the Canadian Academy of Engineering and the Royal Institute of Navigation.  Additional information is available on the PLAN Group website at http://plan.geomatics.ucalgary.ca/professors/lachap/