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Revision as of 09:51, 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

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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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T5 A Finite-Set Statistics Prime

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T6 Information Quality in Information Fusion and Decision Making

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T7 Multitarget Tracking and Multisensor Information Fusion

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

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T9 Quantum Physics Methods For Nonlinear Filtering

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T10 Basic concepts in multiobject estimation

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

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

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

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

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T15 Big Data Fusion and Analytics

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

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T17 Emerging Quantum Technologies for Fusion

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T18 Maneuvering Target Tracking: Overview and Nonlinear Filtering Methods

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T19 Integration of Information to Identify Objects in Big Data

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T20 Extended Object Tracking: Theory and Applications

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T21 Probabilistic situation assessment for abnormal interaction detection

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T22 Multitarget tracking and sensor calibration in centralized and distributed networks

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T23 Information fusion in resource-limited camera networks

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T24 Introduction to Bayesian Filtering and Smoothing

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T25 Sensor Fusion for Intelligent Vehicles

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T26 Multisensor Data Fusion in Shared Sensor and Actuator Networks

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Retrieved from "https://fusion2016.org/index.php?title=Tutorials&oldid=327"
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