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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 Itutoialues 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 awarenetutoial for atutoialisted- 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 Shared Sensor and Actuator Networks

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