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FUSION 2018

21st International Conference on Information Fusion - 10 - 13 July 2018

Studying at Cambridge

 

Tutorial Programme

The tutorial programme on Tuesday 10 July will provide overviews of the state of the art in the particular sub fields of Information Fusion. This programme will be 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.

Tutorials will include those listed below. Information on each tutorial is given here.

1. Active Authentication in Mobile Devices: Role of Information Fusion
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
5. Extended Object Tracking: Theory and Applications
6. Groups and Crowds: Dynamics Modelling, Tracking and Analysis. State-of-the-Art Approaches and Beyond
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
19. Tracking and Sensor Data Fusion - Methodological Framework and Selected Applications

Tutorial timetable

Room 1 Room 2 Room 3 Room 4 Room 5 Room 6 Room 7
Morning 8:30-11:30 19. Tracking and Sensor Data Fusion - Methodological Framework and Selected Applications (Koch) 5. Extended Object Tracking: Theory and Applications (Granström and Baum) 11. Multisensor-Multitarget Tracker/Fusion Engine Development and Performance Evaluation for Realistic Scenarios (Kirubarajan) 8. Information Quality in Information Fusion and Decision Making (Rogova) 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)
Midday 12:30-15:30 7. Implementations of labeled random finite set multi-target filters (Vo and Vo) 6. Groups and Crowds: Dynamics Modelling, Tracking and Analysis. State-of-the-Art Approaches and Beyond (Mihaylova and Granström) 10. Multi Source and Multi Modal Sensor Fusion Strategies and Implementations in the world of Autonomous Driving (Duraisamy, Yuan, Schwarz, Fritzsche, and Gabb) 4. Data Fusion for the Internet of Things (de Farias) 13. Multitarget Tracking and Multisensor Information Fusion (Bar-Shalom) 1. Active Authentication in Mobile Devices: Role of Information Fusion (Fierrez and Patel) 9. Machine and Deep Learning for Data Fusion (Das)
Afternoon 16:00-19:00 3. Analytic Combinatorics for Multi-Object Tracking and Higher Level Fusion (Streit and Efe) 2. An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter (Govaers) 15. Object tracking, sensor fusion and situational awareness for assisted- and self-driving vehicles: Problems, solutions and directions (Kirubarajan) 16. Overview of High-Level Information Fusion Theory, Models, and Representations (Blasch) 17. Statistical Methods for Information Fusion System Design and Performance Evaluation (Raz) 18. Subjective Logic Trust Fusion and Bayesian Reasoning (Jøsang)

 subject to change

Tutorial Chair: 

Professor Simo Särkkä, Aalto University, Finland

Contact:

For general event information contact 

Download a copy of the Call for Tutorials