T1: An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter
Location: U201
Felix Govaers
Read more about Tutorial 1

T4: Distributed multitarget tracking with multiagent systems
Location: U202
Luigi Chisci
Alfonso Farina
Lin Gao
Giorgio Battistelli
Read more about Tutorial 4

T5: Poisson multi-Bernoulli mixtures for multiple target tracking and SLAM
Location: U203
Ángel García-Fernández
Yuxuan Xia
Yu Ge
Read more about Tutorial 5

T3: Data Fusion for EdgeAI
Location: U301
Claudio M. de Farias
Read more about Tutorial 3

T9: Advances in Context-enhanced Information Fusion
Location: U303
Lauro Snidaro
Erik Blasch
Read more about Tutorial 9

T11: Multiple Extended Object Tracking for Automotive Applications
Location: L402
Jens Honer
Hauke Kaulbersch
Marcus Baum
Read more about Tutorial 11

T13: Signal Processing for IoT – Decision Fusion in Sensor Networks
Location: L403
Pramod K. Varshney
Pierluigi Salvo Rossi
Domenico Ciuonzo
Read more about Tutorial 13

T14: Visual Object Tracking with Images: From Theory to Practice
Location: L404
Claudio Miceli de Farias
Pablo Rangel
Note! This tutorial has a duration of 6hrs. and spans both the morning- and afternoon session.
Read more about Tutorial 14

T15: Bayesian Estimation with Learned Models: A Graphical-Model Perspective
Location: L503
Erik Leitinger
Florian Meyer
Note! This tutorial has a duration of 6hrs. and spans both the morning- and afternoon session.
Read more about Tutorial 15

T2: Quantum Computing and Quantum Physicss Inspired Algorithms: Introduction and Data Fusion Examples
Location: U201
Felix Govaers
Martin Ulmke
Wolfgang Koch
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T8: Practical multi-target tracking and sensor management with Stone Soup
Location: U202
James Wright
Chris Sherman
Read more about Tutorial 8

T7: Analytic Combinatorics for Multiple Object Tracking
Location: U203
Roy Streit
Murat Efe
Read more about Tutorial 7

T6: Introduction to Machine Learning Generalization Theory and Information Fusion Applications
Location: U301
Nageswara Rao
Read more about Tutorial 6

T10: Learning the Noise: Identifying Uncertainty in State-Space Models
Ondrej Straka
Jindrich Dunık
Read more about Tutorial 10

T12: Causal Inference for Heterogeneous and Multi-Source Data Fusion: Principles, Transportability, and Applications
Location: L402
Alessandro Leite
Louis Hernandez
Matthieu Boussard
Read more about Tutorial 12

T14: Visual Object Tracking with Images: From Theory to Practice
Location: L404
Claudio Miceli de Farias
Pablo Rangel
Note! This tutorial has a duration of 6hrs. and spans both the morning- and afternoon session.
Read more about Tutorial 14

T15: Bayesian Estimation with Learned Models: A Graphical-Model Perspective
Location: L503
Erik Leitinger
Florian Meyer
Note! This tutorial has a duration of 6hrs. and spans both the morning- and afternoon session.
Read more about Tutorial 15