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* [[Tutorials#tutorial9| T9 Quantum Physics Methods For Nonlinear Filtering]]
 
* [[Tutorials#tutorial9| T9 Quantum Physics Methods For Nonlinear Filtering]]
 
* [[Tutorials#tutorial10| T10 Basic concepts in multiobject estimation]]
 
* [[Tutorials#tutorial10| T10 Basic concepts in multiobject estimation]]
* [[Tutorials#tutorial11| T11 System-of-Systems Concepts, Opportunities and Itutoialues for Information Fusion]]
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* [[Tutorials#tutorial11| T11 System-of-Systems Concepts, Opportunities and Issues for Information Fusion]]
 
* [[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]]
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Revision as of 17:14, 19 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 Issues 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 awareness for assisted- 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


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