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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 Indentify 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

T1 Bayesian Multiple Target Tracking Presenter: Lawrence D. Stone, Roy L. Streit Back to top menu

T2 Bayesian Networks and Trust Fusion with Subjective Logic Presenter: Audun Jøsang Back to top menu

T3 Multisensor-Multitarget Tracker/Fusion Engine Development and Performance Evaluation for Realistic Scenarios Presenter: T. Kirubarajan Back to top menu

T4 An Introduction to Track-to-Track Fusion and the Distributed Kalman Filter Presenter: Felix Govaers Back to top menu

T5 A Finite-Set Statistics Prime Presenter: Ronald Mahler Back to top menu

T6 Information Quality in Information Fusion and Decision Making Presenter: Galina Rogova Back to top menu

T7 Multitarget Tracking and Multisensor Information Fusion Presenter: Yaakov Bar-Shalom Back to top menu

T8 Overview of High-Level Information Fusion Theory, Models, and Representations Presenter: Erik Blasch Back to top menu

T9 Quantum Physics Methods For Nonlinear Filtering Presenter: Bhashyam Balaji and Fred Daum Back to top menu

T10 Basic Concepts in Multiobject Estimation Presenter: Daniel Clark, Emmanuel D. Delande, and Jérémie Houssineau Back to top menu

T11 System-of-Systems Concepts, Opportunities and Issues for Information Fusion Presenter: Alan Steinberg Back to top menu

T12 Implementations of Random-Finite-Set-Based Multi-Target Filters Presenter: Ba-Ngu Vo and Ba-Tuong Vo Back to top menu

T13 Tracking and Sensor Data Fusion – Methodological Framework and Selected Applications Presenter: Wolfgang Koch Back to top menu

T14 Multistatic Exploration – Introduction to Modern Patutoialive Radar and Multistatic Tracking & Data Fusion Presenter: Wolfgang Koch Back to top menu

T15 Big Data Fusion and Analytics Presenter: Subrata Das Back to top menu

T16 Object Tracking, Sensor Fusion and Situational Awareness for Assisted- and Self-Driving Vehicles: Problems, Solutions and Directions Presenter: T. Kirubarajan Back to top menu

T17 Emerging Quantum Technologies for Fusion Presenter: Bhashyam Balaji Back to top menu

T18 Maneuvering Target Tracking: Overview and Nonlinear Filtering Methods Presenter: X. Rong Li and Vesselin P. Jilkov Back to top menu

T19 Integration of Information to Identify Objects in Big Data Presenter: Grace S. Shieh Back to top menu

T20 Extended Object Tracking: Theory and Applications Presenter: Karl Granström, Stephan Reuter, and Marcus Baum Back to top menu

T21 Probabilistic Situation Atutoialetutoialment for Abnormal Interaction Detection Presenter: Carlo Regazzoni and Lucio Marcenaro Back to top menu

T22 Multitarget Tracking and Sensor Calibration in Centralized and Distributed Networks Presenter: Murat Uney, Simon Julier, and Daniel Clark Back to top menu

T23 Information Fusion in Resource-Limited Camera Networks Presenter: Andrea Cavallaro and Juan C. SanMiguel Back to top menu

T24 Introduction to Bayesian Filtering and Smoothing Presenter: Simo Särkkä Back to top menu

T25 Sensor Fusion for Intelligent Vehicles Presenter: Bharanidhar Duraisamy, Ting Yuan, Tilo Schwarz, and Martin Fritzsche Back to top menu

T26 Multisensor Data Fusion in Wireless Sensor and Actuator Networks Presenter: Claudio Miceli de Farias Back to top menu