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

Beschreibung

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.
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.
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

Autor*in

Sukhan Lee

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

Multisensor Fusion Integration Sensor/Actuator Networks Distributed Architectures Cloud Architectures Bio-inspired Systems Cognitive Sensor Fusion Bayesian Approaches Fuzzy Systems Autonomous Vehicles

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

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