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

Sukhan Lee

ISBN 10: 3319905082 / ISBN 13: 9783319905082

Published by Springer International Publishing, Springer Nature Switzerland Jul 2018, 2018

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 308 pp. Englisch.

Seller Inventory # 9783319905082

Bibliographic Details

• Title: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System
• Publisher: Springer International Publishing, Springer Nature Switzerland Jul 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 3319905082
• ISBN 13: 9783319905082
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 23D millimeters 241 millimeters width by 160 millimeters height by 23 millimeters depth
• Weight: 629 grams

About this title

Synopsis

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.