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Lecture Notes in Electrical Engineering

Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System

An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017)

Editors: Lee, Sukhan, Ko, Hanseok, Oh, Songhwai (Eds.)

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  • Presents recent research in multisensor fusion and integration for intelligent systems
  • Includes selected papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 27–29, 2017
  • Focuses on multisensor fusion and integration in the wake of big data, deep learning, and cyber physical systems
  • Discusses how the multisensor fusion and integration technologies are applied to smart machines, which mark the beginning of things to things integration and human to machine integration
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eBook $189.00
price for USA in USD (gross)
  • ISBN 978-3-319-90509-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-319-90508-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.99
price for USA in USD
  • ISBN 978-3-030-08030-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent Systems (MFI 2017) held in Daegu, Korea, November 16–22, 2017. It covers various topics, including sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural networks, biomedical applications, autonomous land, sea and air vehicles, localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.

Table of contents (17 chapters)

Table of contents (17 chapters)
  • Covariance Projection as a General Framework of Data Fusion and Outlier Removal

    Pages 5-21

    Lee, Sukhan (et al.)

  • State Estimation in Networked Control Systems with Delayed and Lossy Acknowledgments

    Pages 22-38

    Rosenthal, Florian (et al.)

  • Performance of State Estimation and Fusion with Elliptical Motion Constraints

    Pages 39-51

    Liu, Qiang (et al.)

  • Relevance and Redundancy as Selection Techniques for Human-Autonomy Sensor Fusion

    Pages 52-75

    Brody, Justin D. (et al.)

  • Classification of Reactor Facility Operational State Using SPRT Methods with Radiation Sensor Networks

    Pages 76-97

    Ramirez, Camila (et al.)

Buy this book

eBook $189.00
price for USA in USD (gross)
  • ISBN 978-3-319-90509-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.99
price for USA in USD
  • ISBN 978-3-319-90508-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $249.99
price for USA in USD
  • ISBN 978-3-030-08030-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System
Book Subtitle
An Edition of the Selected Papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017)
Editors
  • Sukhan Lee
  • Hanseok Ko
  • Songhwai Oh
Series Title
Lecture Notes in Electrical Engineering
Series Volume
501
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-90509-9
DOI
10.1007/978-3-319-90509-9
Hardcover ISBN
978-3-319-90508-2
Softcover ISBN
978-3-030-08030-3
Series ISSN
1876-1100
Edition Number
1
Number of Pages
VIII, 300
Number of Illustrations
142 b/w illustrations
Topics