Overview
- 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
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 501)
Included in the following conference series:
Conference proceedings info: MFI 2017.
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Table of contents (17 papers)
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Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System
Keywords
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.
Editors and Affiliations
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
DOI: https://doi.org/10.1007/978-3-319-90509-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-90508-2Published: 05 July 2018
Softcover ISBN: 978-3-030-08030-3Published: 20 December 2018
eBook ISBN: 978-3-319-90509-9Published: 04 July 2018
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: VIII, 300
Number of Illustrations: 142 b/w illustrations
Topics: Communications Engineering, Networks, Computational Intelligence, Robotics and Automation