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* [[Tutorials#tutorial12| T12 Implementations of Random-Finite-Set-Based Multi-Target Filters]]
 
* [[Tutorials#tutorial12| T12 Implementations of Random-Finite-Set-Based Multi-Target Filters]]
 
* [[Tutorials#tutorial13| T13 Tracking and Sensor Data Fusion – Methodological Framework and Selected Applications]]
 
* [[Tutorials#tutorial13| T13 Tracking and Sensor Data Fusion – Methodological Framework and Selected Applications]]
* [[Tutorials#tutorial14| T14 Multistatic Exploration – Introduction to Modern Patutoialive Radar and Multistatic Tracking & Data Fusion]]
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* [[Tutorials#tutorial14| T14 Multistatic Exploration – Introduction to Modern Passive Radar and Multistatic Tracking & Data Fusion]]
 
* [[Tutorials#tutorial15| T15 Big Data Fusion and Analytics]]
 
* [[Tutorials#tutorial15| T15 Big Data Fusion and Analytics]]
 
* [[Tutorials#tutorial16| T16 Object Tracking, Sensor Fusion and Situational Awareness for Assisted- and Self-Driving Vehicles: Problems, Solutions and Directions]]
 
* [[Tutorials#tutorial16| T16 Object Tracking, Sensor Fusion and Situational Awareness for Assisted- and Self-Driving Vehicles: Problems, Solutions and Directions]]
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Revision as of 10:53, 25 February 2016

Download Call For Tutorials

Click here to download the call for tutorials.


List of Tutorials of FUSION 2016


T1 Bayesian Multiple Target Tracking

Presenter: Lawrence D. Stone and Roy L. Streit
Length: 3 hours
More Details


T2 Bayesian Networks and Trust Fusion with Subjective Logic

Presenter: Audun Jøsang
Length: 3 hours
More Details


T3 Multisensor-Multitarget Tracker/Fusion Engine Development and Performance Evaluation for Realistic Scenarios


T4 An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter

Presenter: Felix Govaers
Length: 3 hours
More Details


T5 A Finite-Set Statistics Prime

Presenter: Ronald Mahler
Length: 3 hours
More Details


T6 Information Quality in Information Fusion and Decision Making

Presenter: Galina Rogova
Length: 3 hours
More Details


T7 Multitarget Tracking and Multisensor Information Fusion


T8 Overview of High-Level Information Fusion Theory, Models, and Representations

Presenter: Erik Blasch
Length: 3 hours
More Details


T9 Quantum Physics Methods for Nonlinear Filtering


T10 Basic Concepts in Multiobject Estimation

Presenter: Daniel Clark, Emmanuel D. Delande, and Jérémie Houssineau
Length: 3 hours
More Details


T11 System-of-Systems Concepts, Opportunities and Issues for Information Fusion


T12 Implementations of Random-Finite-Set-Based Multi-Target Filters

Presenter: Ba-Ngu Vo and Ba-Tuong Vo
Length: 3 hours
More Details


T13 Tracking and Sensor Data Fusion – Methodological Framework and Selected Applications

Presenter: Wolfgang Koch
Length: 3 hours
More Details


Multistatic Exploration – Introduction to Modern Passive Radar and Multistatic Tracking & Data Fusion

Presenter: Wolfgang Koch
Length: 3 hours
More Details


T15 Big Data Fusion and Analytics

Presenter: Subrata Das
Length: 3 hours
More Details


T16 Object Tracking, Sensor Fusion and Situational Awareness for Assisted- and Self-Driving Vehicles: Problems, Solutions and Directions


T17 Emerging Quantum Technologies for Fusion


T18 Maneuvering Target Tracking: Overview and Nonlinear Filtering Methods


T19 Integration of Information to Identify Objects in Big Data


T20 Extended Object Tracking: Theory and Applications

Presenter: Karl Granström, Stephan Reuter, and Marcus Baum
Length: 3 hours
More Details


T21 Probabilistic Situation Assessment for Abnormal Interaction Detection


T22 Multitarget Tracking and Sensor Calibration in Centralized and Distributed Networks

Presenter: Murat Uney, Simon Julier, and Daniel Clark
Length: 3 hours
More Details


T23 Information Fusion in Resource-Limited Camera Networks


T24 Introduction to Bayesian Filtering and Smoothing

Presenter: Simo Särkkä
Length: 3 hours
More Details


T25 Sensor Fusion for Intelligent Vehicles


T26 Multisensor Data Fusion in Wireless Sensor and Actuator Networks


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