Difference between revisions of "Tutorials" - 19th International Conference on Information Fusion

Revision as of 10:21, 25 February 2016

Download Call For Tutorials

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List of Tutorials of FUSION 2016

T1 Bayesian Multiple Target Tracking

Presenter: Lawrence D. Stone and Roy L. Streit
Length: 3 hours
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T2 Bayesian Networks and Trust Fusion with Subjective Logic

Presenter: Audun Jøsang
Length: 3 hours
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T3 Multisensor-Multitarget Tracker/Fusion Engine Development and Performance Evaluation for Realistic Scenarios

Presenter: T. Kirubarajan
Length: 3 hours
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T4 An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter

Presenter: Felix Govaers
Length: 3 hours
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T5 An Introduction to Finite-Set Statistics for Information Fusion

Presenter: Ronald Mahler
Length: 3 hours
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T6 Information Quality in Information Fusion and Decision Making

Presenter: Galina Rogova
Length: 3 hours
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T7 Multitarget Tracking and Multisensor Information Fusion

Presenter: Yaakov Bar-Shalom
Length: 3 hours
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T8 Overview of High-Level Information Fusion Theory, Models, and Representations

Presenter: Erik Blasch
Length: 3 hours
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T9 Quantum Physics Methods for Nonlinear Filtering

Presenter: Bhashyam Balaji and Fred Daum
Length: 3 hours
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T10 Basic Concepts in Multiobject Estimation

Presenter: Daniel Clark, Emmanuel D. Delande, and Jérémie Houssineau
Length: 3 hours
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T11 System-of-Systems Concepts, Opportunities and Issues for Information Fusion

Presenter: Alan Steinberg
Length: 3 hours
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T12 Implementations of Random-Finite-Set-Based Multi-Target Filters

Presenter: Ba-Ngu Vo and Ba-Tuong Vo
Length: 3 hours
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T13 Tracking and Sensor Data Fusion – Methodological Framework and Selected Applications

Presenter: Wolfgang Koch
Length: 3 hours
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Multistatic Exploration – Introduction to Modern Passive Radar and Multistatic Tracking & Data Fusion

Presenter: Wolfgang Koch
Length: 3 hours
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T15 Big Data Fusion and Analytics

Presenter: Subrata Das
Length: 3 hours
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T16 Object Tracking, Sensor Fusion and Situational Awareness for Assisted- and Self-Driving Vehicles: Problems, Solutions and Directions

Presenter: T. Kirubarajan
Length: 3 hours
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T17 Emerging Quantum Technologies for Fusion

Presenter: Bhashyam Balaji
Length: 3 hours
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T18 Maneuvering Target Tracking: Overview and Nonlinear Filtering Methods

Presenter: X. Rong Li and Vesselin P. Jilkov
Length: 3+3 hours
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T19 Integration of Information to Identify Objects in Big Data

Presenter: Grace S. Shieh
Length: 3 hours
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T20 Extended Object Tracking: Theory and Applications

Presenter: Karl Granström, Stephan Reuter, and Marcus Baum
Length: 3 hours
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T21 Probabilistic Situation Assessment for Abnormal Interaction Detection

Presenter: Carlo Regazzoni and Lucio Marcenaro
Length: 3 hours
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T22 Multitarget Tracking and Sensor Calibration in Centralized and Distributed Networks

Presenter: Murat Uney, Simon Julier, and Daniel Clark
Length: 3 hours
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T23 Information Fusion in Resource-Limited Camera Networks

Presenter: Andrea Cavallaro and Juan C. SanMiguel
Length: 3 hours
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T24 Introduction to Bayesian Filtering and Smoothing

Presenter: Simo Särkkä
Length: 3 hours
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T25 Sensor Fusion for Intelligent Vehicles

Presenter: Bharanidhar Duraisamy, Ting Yuan, Tilo Schwarz, and Martin Fritzsche
Length: 3 hours
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T26 Multisensor Data Fusion in Wireless Sensor and Actuator Networks

Presenter: Claudio Miceli de Farias
Length: 3 hours
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 '''Presenter:''' [mailto:Bhashyam.Balaji@drdc-rddc.gc.ca Bhashyam Balaji]<br />
-'''Length:''' TBA<br />
+'''Length:''' 3 hours<br />
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 '''Presenter:''' [mailto:cmicelifarias@gmail.com Claudio Miceli de Farias]<br />
-'''Length:''' TBA<br />
+'''Length:''' 3 hours<br />
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Revision as of 10:21, 25 February 2016

Download Call For Tutorials

List of Tutorials of FUSION 2016

T1 Bayesian Multiple Target Tracking

T2 Bayesian Networks and Trust Fusion with Subjective Logic

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

T5 An Introduction to Finite-Set Statistics for Information Fusion

T6 Information Quality in Information Fusion and Decision Making

T7 Multitarget Tracking and Multisensor Information Fusion

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

T9 Quantum Physics Methods for Nonlinear Filtering

T10 Basic Concepts in Multiobject Estimation

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

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

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

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

T15 Big Data Fusion and Analytics

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

T21 Probabilistic Situation Assessment for Abnormal Interaction Detection

T22 Multitarget Tracking and Sensor Calibration in Centralized and Distributed Networks

T23 Information Fusion in Resource-Limited Camera Networks

T24 Introduction to Bayesian Filtering and Smoothing

T25 Sensor Fusion for Intelligent Vehicles

T26 Multisensor Data Fusion in Wireless Sensor and Actuator Networks

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