The tutorial programme on Tuesday 10 July provided overviews of the state of the art in the particular sub fields of Information Fusion. This programme was useful to newcomers to the Information Fusion community to learn about the research achievements of the particular areas, as well as to currently active Information Fusion researchers who may be interested in widening their areas of research interest.
Information on each tutorial is given here.
Tutorial timetable - Tuesday 10 July
| Lecture Room 11 | Lecture Room 6 | JDB-Seminar Room | Lecture Room 5 | Lecture Room 12 | |
| 08:00-08:30 | Registration | ||||
| 08:30-11:30 | 5. Extended Object Tracking: Theory and Applications (Granström, Baum and Honer) | 8. Information Quality in Information Fusion and Decision Making (Rogova) | 11. Multisensor-Multitarget Tracker/Fusion Engine Development and Performance Evaluation for Realistic Scenarios (Kirubarajan) | 12. Multitarget multisensor tracking: from traditional to modern distributed approach (Battistelli, Chisci, and Farina) | 14. Noise Covariance Matrices in State Space Models: Overview, Algorithms, and Comparison of Estimation Methods (Straka, Dunik, and Havlik) |
| 11:30-12:30 | Lunch | ||||
| 12:30-15:30 | 10. Multi Source and Multi Modal Sensor Fusion Strategies and Implementations in the world of Autonomous Driving (Duraisamy, Yuan, Schwarz, Fritzsche, and Gabb) | 13. Multitarget Tracking and Multisensor Information Fusion (Bar-Shalom) | 9. Machine and Deep Learning for Data Fusion (Das) | 7. Implementations of labeled random finite set multi-target filters (Vo and Vo) | |
| 15:30-16:00 | Refreshments | ||||
| 16:00-19:00 | 17. Statistical Methods for Information Fusion System Design and Performance Evaluation (Raz) | 15. Object tracking, sensor fusion and situational awareness for assisted- and self-driving vehicles: Problems, solutions and directions (Kirubarajan) | 2. An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter (Govaers) | 16. Overview of High-Level Information Fusion Theory, Models, and Representations (Blasch) | 3. Analytic Combinatorics for Multi-Object Tracking and Higher Level Fusion (Streit and Efe) |
subject to change
Tutorial List
1. Active Authentication in Mobile Devices: Role of Information Fusion - no longer available
2. An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter
3. Analytic Combinatorics for Multi-Object Tracking and Higher Level Fusion
4. Data Fusion for the Internet of Things - no longer available
5. Extended Object Tracking: Theory and Applications
6. Groups and Crowds: Dynamics Modelling, Tracking and Analysis. State-of-the-Art Approaches and Beyond - no longer available
7. Implementations of Labeled Random Finite Set Multi-Target Filters
8. Information Quality in Information Fusion and Decision Making
9. Machine and Deep Learning for Data Fusion
10. Multi Source and Multi Modal Sensor Fusion Strategies and Implementations in the world of Autonomous Driving
11. Multisensor-Multitarget Tracker/Fusion Engine Development and Performance Evaluation for Realistic Scenarios
12. Multitarget Multisensor Tracking: from Traditional to Modern Distributed Approach
13. Multitarget Tracking and Multisensor Information Fusion
14. Noise Covariance Matrices in State Space Models: Overview, Algorithms, and Comparison of Estimation Methods
15. Object Tracking, Sensor Fusion and Situational Awareness for Assisted- and Self-Driving Vehicles: Problems, Solutions and Directions
16. Overview of High-Level Information Fusion Theory, Models, and Representations
17. Statistical Methods for Information Fusion System Design and Performance Evaluation
18. Subjective Logic Trust Fusion and Bayesian Reasoning - no longer available
19. Tracking and Sensor Data Fusion - Methodological Framework and Selected Applications - no longer available
Tutorial Chair:
Professor Simo Särkkä, Aalto University, Finland
Contact: tutorials@fusion2018.org
For general event information contact info@fusion2018.org
Download a copy of the Call for Tutorials