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

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 '''Presenter:'''  [mailto:stone@metsci.com Lawrence D. Stone] and Roy L. Streit<br />
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 '''Presenter:''' [mailto:audun.josang@mn.uio.no Audun Jøsang]<br />
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 '''Presenter:''' [mailto:kiruba@mcmaster.ca  T. Kirubarajan]<br />
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 '''Presenter:''' [mailto:felix.govaers@fkie.fraunhofer.de Felix Govaers]<br />
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 '''Presenter:''' [mailto:mahlerronald@comcast.net Ronald Mahler]<br />
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 '''Presenter:''' [mailto:rogovagl@gmail.com Galina Rogova]<br />
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 '''Presenter:''' [mailto:ybs@engr.uconn.edu Yaakov Bar-Shalom]<br />
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 '''Presenter:''' [mailto:erik.blasch@gmail.com Erik Blasch]<br />
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 '''Presenter:''' [mailto:Bhashyam.Balaji@drdc-rddc.gc.ca Bhashyam Balaji] and [mailto:Frederick_E_Daum@raytheon.com Fred Daum]<br />
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 '''Presenter:''' [mailto:D.E.Clark@hw.ac.uk Daniel Clark], Emmanuel D. Delande, and Jérémie Houssineau<br />
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 '''Presenter:''' [mailto:alaneilsteinberg@gmail.com Alan Steinberg]<br />
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 '''Presenter:''' [mailto:ba-ngu.vo@curtin.edu.au Ba-Ngu Vo] and Ba-Tuong Vo<br />
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 '''Presenter:''' [mailto:wolfgang.koch@fkie.fraunhofer.de Wolfgang Koch]<br />
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 '''Presenter:''' [mailto:wolfgang.koch@fkie.fraunhofer.de Wolfgang Koch]<br />
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 '''Presenter:''' [mailto:sdas@machineanalytics.com Subrata Das]<br />
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 '''Presenter:''' [mailto:kiruba@mcmaster.ca T. Kirubarajan]<br />
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 '''Presenter:''' [mailto:vjilkov@uno.edu Vesselin P. Jilkov]<br />
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 '''Presenter:''' [mailto:gshieh@webmail.stat.sinica.edu.tw Grace S. Shieh]<br />
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 '''Presenter:''' [mailto:karl.granstrom@chalmers.se Karl Granström], Stephan Reuter,  and [mailto:marcus.baum@cs.uni-goettinge.de Marcus Baum]<br />
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 '''Presenter:''' [mailto:carlo.regazzoni@unige.it Carlo Regazzoni] and [mailto:lucio.marcenaro@unige.it Lucio Marcenaro]<br />
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 '''Presenter:''' Murat Uney, Simon Julier, and [mailto:D.E.Clark@hw.ac.uk Daniel Clark]<br />
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 '''Presenter:''' [mailto:a.cavallaro@qmul.ac.uk Andrea Cavallaro] and [mailto:juancarlos.sanmiguel@uam.es Juan C. SanMiguel]<br />
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 '''Presenter:''' [mailto:simo.sarkka@aalto.fi Simo Särkkä]<br />
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 '''Presenter:''' [mailto:bharanid-har.duraisamy@daimler.com Bharanidhar Duraisamy], [mailto:ting.yuan@daimler.com Ting Yuan], [mailto:tilo.schwarz@daimler.com Tilo Schwarz], and [mailto:martin.fritzsche@daimler.com Martin Fritzsche]<br />
-'''Length:''' 2 x 3 hours (half day) or 1 day<br />
+'''Length:''' 3 hours<br />
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Revision as of 14:05, 24 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 A Finite-Set Statistics Prime

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

T14 Multistatic Exploration – Introduction to Modern Patutoialive 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 Atutoialetutoialment 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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