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Multisensor fusion and integration i...

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Multisensor fusion and integration in the wake of big data, deep learning and cyber physical systeman edition of the selected papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multisensor fusion and integration in the wake of big data, deep learning and cyber physical systemedited by Sukhan Lee, Hanseok Ko, Songhwai Oh.
Reminder of title:	an edition of the selected papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /
remainder title:	MFI 2017
other author:	Lee, Sukhan.
corporate name:
Published:	Cham :Springer International Publishing :2018.
Description:	viii, 300 p. :digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Multisensor data fusionCongresses
Online resource:	http://dx.doi.org/10.1007/978-3-319-90509-9
ISBN:	9783319905099$q(electronic bk.)

Multisensor fusion and integration in the wake of big data, deep learning and cyber physical systeman edition of the selected papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /
Multisensor fusion and integration in the wake of big data, deep learning and cyber physical systeman edition of the selected papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /[electronic resource] :MFI 2017edited by Sukhan Lee, Hanseok Ko, Songhwai Oh. - Cham :Springer International Publishing :2018. - viii, 300 p. :digital ;24 cm. - Lecture notes in electrical engineering,v.5011876-1100 ;. - Lecture notes in electrical engineering ;v.132..

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.

ISBN: 9783319905099$q(electronic bk.)

Standard No.: 10.1007/978-3-319-90509-9doiSubjects--Topical Terms:

437885
Multisensor data fusion
--Congresses

LC Class. No.: TK7872.D48

Dewey Class. No.: 005.74

Multisensor fusion and integration in the wake of big data, deep learning and cyber physical systeman edition of the selected papers from the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2017) /
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