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| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#fff7bd; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #fff784; text-align:left; color:#000; padding:0.2em 0.4em;">List of Tutorials of FUSION 2016</h2>
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* [[Tutorials#tutorial24| T24 Introduction to Bayesian Filtering and Smoothing]]
 
* [[Tutorials#tutorial24| T24 Introduction to Bayesian Filtering and Smoothing]]
 
* [[Tutorials#tutorial25| T25 Sensor Fusion for Intelligent Vehicles]]
 
* [[Tutorials#tutorial25| T25 Sensor Fusion for Intelligent Vehicles]]
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* [[Tutorials#tutorial25| T26 Sensor Fusion for Intelligent Vehicles]]
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* [[Tutorials#tutorial26| T26 Multisensor Data Fusion in Shared Sensor and Actuator Networks]]
  
 
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<!--        T1 Bayesian Multiple Target Tracking      -->
 
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| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#f5baa3; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #f36766; text-align:left; color:#000; padding:0.2em 0.4em;">T1 Bayesian Multiple Target Tracking</h2>
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<!--        T2 Bayesian Networks and Trust Fusion with Subjective Logic      -->
 
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<!--        T3 Multisensor-Multitarget Tracker/Fusion Engine Development and Performance Evaluation for Realistic Scenarios        -->
 
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<!--        T4 An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter        -->
 
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<!--        T8 Overview of High-Level Information Fusion Theory, Models, and Representations        -->
 
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| style="padding:2px;" | <h2 id="mp-tfa-h2" style="margin:3px; background:#d6efd6; font-family:inherit; font-size:120%; font-weight:bold; border:1px solid #bdd6c6; text-align:left; color:#000; padding:0.2em 0.4em;">T8 Overview of High-Level Information Fusion Theory, Models, and Representations</h2>
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<!--        T9 Quantum Physics Methods For Nonlinear Filtering        -->
 
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<!--        T11 System-of-Systems Concepts, Opportunities and Itutoialues for Information Fusion      -->
 
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<!--        T13 Tracking and Sensor Data Fusion – Methodological Framework and Selected Applications        -->
 
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Revision as of 11:06, 22 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, Roy L. Streit, and Kristine L. Bell


T2 Bayesian Networks and Trust Fusion with Subjective Logic

Presenter: Audun Jøsang


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

Presenter: T. Kirubarajan


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

Presenter: Felix Govaers


T5 A Finite-Set Statistics Prime

Presenter: Ronald Mahler


T6 Information Quality in Information Fusion and Decision Making

Presenter: Galina Rogova


T7 Multitarget Tracking and Multisensor Information Fusion

Presenter: Yaakov Bar-Shalom


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

Presenter: Erik Blasch


T9 Quantum Physics Methods For Nonlinear Filtering

Presenter: Bhashyam Balaji and Fred Daum


T10 Basic concepts in multiobject estimation

Presenter: Daniel Clark, Emmanuel D. Delande, and Jérémie Houssineau


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

Presenter: Alan Steinberg


T12 Implementations of random-finite-set-based multi-target filters

Presenter: Ba-Ngu Vo and Ba-Tuong Vo


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

Presenter: Wolfgang Koch


T14 Multistatic Exploration – Introduction to Modern Patutoialive Radar and Multistatic Tracking & Data Fusion

Presenter: Wolfgang Koch


T15 Big Data Fusion and Analytics

Presenter: Subrata Das


T16 Object tracking, sensor fusion and situational awarenetutoial for atutoialisted- and self-driving vehicles: Problems, solutions and directions

Presenter: T. Kirubarajan


T17 Emerging Quantum Technologies for Fusion

Presenter: Bhashyam Balaji


T18 Maneuvering Target Tracking: Overview and Nonlinear Filtering Methods

Presenter: X. Rong Li and Vesselin P. Jilkov


T19 Integration of Information to Identify Objects in Big Data

Presenter: Grace S. Shieh


T20 Extended Object Tracking: Theory and Applications

Presenter: Karl Granström, Stephan Reuter, and Marcus Baum


T21 Probabilistic situation assessment for abnormal interaction detection

Presenter: Carlo Regazzoni and Lucio Marcenaro


T22 Multitarget tracking and sensor calibration in centralized and distributed networks

Presenter: Murat Uney, Simon Julier, and Daniel Clark


T23 Information fusion in resource-limited camera networks

Presenter: Andrea Cavallaro and Juan C. SanMiguel


T24 Introduction to Bayesian Filtering and Smoothing

Presenter: Simo Särkkä


T25 Sensor Fusion for Intelligent Vehicles

Presenter: Bharanidhar Duraisamy, Ting Yuan, Tilo Schwarz, and Martin Fritzsche


T26 Multisensor Data Fusion in Shared Sensor and Actuator Networks

Presenter: Claudio Miceli de Farias


Retrieved from "https://fusion2016.org/index.php?title=Tutorials&oldid=336"
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