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Multisensor Data Fusion, Fourati, Hassen


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Цена: 9339.00р.
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Автор: Fourati, Hassen
Название:  Multisensor Data Fusion
ISBN: 9780367656287
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367656280
Обложка/Формат: Paperback
Страницы: 639
Вес: 1.22 кг.
Дата издания: 30.09.2020
Серия: Devices, circuits, and systems
Язык: English
Размер: 254 x 178
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: From algorithms and architectural design to applications
Рейтинг:
Поставляется из: Европейский союз


Mathematical Techniques in Multisensor Data Fusion, Second Edition

Название: Mathematical Techniques in Multisensor Data Fusion, Second Edition
ISBN: 1580533353 ISBN-13(EAN): 9781580533355
Издательство: Artech House
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Цена: 25872.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Since the publication of the first edition of this book, advances in algorithms, logic and software tools have transformed the field of data fusion. This edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis and data system fusion control.

Multisensor data fusion

Название: Multisensor data fusion
ISBN: 1482263742 ISBN-13(EAN): 9781482263749
Издательство: Taylor&Francis
Рейтинг:
Цена: 26796.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from the world's leading data fusion researchers and academicians, this authoritative book:

  • Presents state-of-the-art advances in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors
  • Describes new materials and achievements in optimal fusion and multisensor filters
  • Discusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologies
  • Explores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures
  • Showcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigation

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications is a robust collection of modern multisensor data fusion methodologies. The book instills a deeper understanding of the basics of multisensor data fusion as well as a practical knowledge of the problems that can be faced during its execution.

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

Автор: Lee
Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System
ISBN: 3319905082 ISBN-13(EAN): 9783319905082
Издательство: Springer
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Цена: 24392.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Handbook of Multisensor Data Fusion

Автор: Liggins II, Martin
Название: Handbook of Multisensor Data Fusion
ISBN: 1420053086 ISBN-13(EAN): 9781420053081
Издательство: Taylor&Francis
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Цена: 35983.00 р.
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Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System

Автор: Sukhan Lee; Hanseok Ko; Songhwai Oh
Название: Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System
ISBN: 3030080307 ISBN-13(EAN): 9783030080303
Издательство: Springer
Рейтинг:
Цена: 18904.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: 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.

Multisensor Fusion Estimation Theory and Application

Автор: Yan Liping, Jiang Lu, Xia Yuanqing
Название: Multisensor Fusion Estimation Theory and Application
ISBN: 9811594252 ISBN-13(EAN): 9789811594250
Издательство: Springer
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Цена: 18294.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced.

Multisensor Fusion Estimation Theory and Application

Автор: Yan Liping, Jiang Lu, Xia Yuanqing
Название: Multisensor Fusion Estimation Theory and Application
ISBN: 9811594287 ISBN-13(EAN): 9789811594281
Издательство: Springer
Рейтинг:
Цена: 18294.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced.

Networked Multisensor Decision and Estimation Fusion

Автор: Zhu, Yunmin
Название: Networked Multisensor Decision and Estimation Fusion
ISBN: 1439874522 ISBN-13(EAN): 9781439874523
Издательство: Taylor&Francis
Рейтинг:
Цена: 18374.00 р.
Наличие на складе: Нет в наличии.

Multisensor Attitude Estimation

Автор: Fourati, Hassen
Название: Multisensor Attitude Estimation
ISBN: 0367655810 ISBN-13(EAN): 9780367655815
Издательство: Taylor&Francis
Рейтинг:
Цена: 19140.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Multisensor Systems for Chemical Analysis

Автор: Lvova, Larisa
Название: Multisensor Systems for Chemical Analysis
ISBN: 9814411159 ISBN-13(EAN): 9789814411158
Издательство: Taylor&Francis
Рейтинг:
Цена: 17609.00 р.
Наличие на складе: Нет в наличии.

Virtual Taste and Smell Technologies for Multisensory Internet and Virtual Reality

Автор: Adrian David Cheok; Kasun Karunanayaka
Название: Virtual Taste and Smell Technologies for Multisensory Internet and Virtual Reality
ISBN: 303008874X ISBN-13(EAN): 9783030088743
Издательство: Springer
Рейтинг:
Цена: 10366.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Currently, Internet and virtual reality communication is essentially audio-visual. The next important breakthrough of the Internet will be the communication and sharing of smell and taste experiences digitally. Audio-visual stimuli are frequency based, and they can be easily digitized and actuated. On the other hand, taste and smell stimuli are based on chemical molecules, therefore, they are not easy to digitize or actuate. To solve this problem, we are required to discover new digital actuation technologies for taste and smell. The authors of this book have experimented on developing digital actuation devices for several years. This book will provide a complete overview of the importance of digitizing taste and smell, prior works, proposed technologies by the authors, other state of the art research, advantages and limitations of the proposed methods, and future applications. We expect digital taste and smell technologies will revolutionize the field of multisensory augmented reality and open up new interaction possibilities in different disciplines such as Human Computer Interaction, Communication, and Augmented and Virtual Reality.

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