TUTORIAL SCHEDULE
MONDAY, 6 JULY
Time duration per tutorial: 3 hours
Fusion 2020 will be hosted on the Whova Virtual Conferencing app. Tutorial presentations will be made available as a series of 20 minute video presentations in order to mitigate screen fatigue. The tutorial registration will include access to the recorded videos and two live Q&A sessions of 40 minutes each to accommodate attendees from different time zones. The schedule of the Q&A sessions is as follows:
Eastern Session:
6 AM UTC, 4PM Sydney, 8AM Pretoria, for attendees from Australasia and Asia
Western Session:
17:00 UTC, 5PM London, 7PM Pretoria, 10AM Los Angeles, 12PM New York, for attendees from Africa, Europe and the Americas
During each of these Q&A slots there will be 20 parallel virtual rooms (one per Tutorial), where attendees can drop in and out to ask questions. The live Q&A sessions will be recorded and made available to attendees afterwards. While watching the tutorial videos, attendees are encouraged to ask questions by texting on the Whova discussion board. These questions can be answered asynchronously by the presenters or be discussed during the live Q&A sessions.
The tutorial material and presentations will be released towards the end of the week before the conference in order to allow attendees sufficient time to watch the videos before the live Q&A sessions on Monday 6th.
CLICK HERE TO INDICATE WHICH TUTORIALS YOU WILL BE ATTENDING
CLICK HERE TO DOWNLOAD INFORMATION ON TUTORIALS
|
Tutorial No. |
Title |
Presenters |
|
T1 |
Registration and Fusion of Multiple Sensors for the 3D Reconstruction of the Environment with Classical and Deep Learning Methods |
Nina Felicitas Heide |
|
T2 |
Multitarget Tracking and Multisensor Information Fusion, FUSION 2020 Tutorial |
Yaakov Bar-Shalom |
|
T4 |
Overview of High-Level Information Fusion Theory, Models, and Representations |
Erik Blasch |
|
T5 |
An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter |
Felix Govaers |
|
T7 |
Deep Convolutional Neural Networked-based Multisensor Fusion for Computer Vision:Opportunities and Challenges |
Fahimeh Farahnakian |
|
T8 |
Practical use of Belief Function Theory: Tools and examples of applications |
Sylvie Le Hegarat-Mascle |
|
T9 |
Multisensor Data Fusion for Industry 4.0 |
Claudio de Farias and José Brancalion |
|
T10 |
Evaluation of Technologies for Uncertainty Reasoning |
Paulo Costa, Kathryn Laskey and Erik Blasch |
|
T11 |
Estimation of Noise Parameters in State Space Models: Overview, Algorithms, and Comparison |
Ondrej Straka and Jindrich Dunik |
|
T12 |
Stone Soup: an open source tracking and state estimation framework; principles, use and applications |
Richard Green, Jordi Barr, Steven Hiscocks, David Kirkland and Lyudmil Vladimirov |
|
T13 |
Fusion using belief functions: source reliability and conflict |
Frédéric Pichon and Anne-Laure Jousselme |
|
T14 |
Poisson multi-Bernoulli mixtures for multiple target tracking |
Angel Garcia-Fernandez, Yuxuan Xia, Karl Granstrom and Lennart Svensson |
|
T16 |
Context-enhanced Information Fusion |
Lauro Snidaro and Erik Blasch |
|
T17 |
Tutorial on Robust Kalman Filtering |
Florian Pfaff and Benjamin Noack |
|
T18 |
Localization-of-Things: Foundations and Data Fusion |
Moe Win and Andrea Conti |
|
T21 |
Deep Feature Learning to Model Brain Network Activities |
Narges Norouzi |
TUTORIAL CO-CHAIRS
Denis Garagić, Stefano Coraluppi
email: tutorials@fusion2020.org