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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 Sensor Fusion for Intelligent Vehicles

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