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Multisensor Fusion Estimation Theory and Application, Yan Liping, Jiang Lu, Xia Yuanqing


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Автор: Yan Liping, Jiang Lu, Xia Yuanqing
Название:  Multisensor Fusion Estimation Theory and Application
ISBN: 9789811594281
Издательство: Springer
Классификация:






ISBN-10: 9811594287
Обложка/Формат: Paperback
Страницы: 248
Вес: 0.35 кг.
Дата издания: 12.11.2021
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 41 tables, color; 46 illustrations, color; 13 illustrations, black and white; xvii, 227 p. 59 illus., 46 illus. in color.; 41 tables, color; 46 illust
Размер: 23.39 x 15.60 x 1.32 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


Автор: Massimiliano Di Luca
Название: Multisensory Softness
ISBN: 1447165322 ISBN-13(EAN): 9781447165323
Издательство: Springer
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Цена: 6097.00 р.
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Описание:

Introduction.- Section 1: Perceptual Softness.- Physical Aspects of Softness Perception.- Visual-Haptic Softness.- Vibrotactile Sensation and Softness Perception.- Auditory Perception of Material Properties.- Computational Aspects of Softness Perception.- Section 2: Sensorimotor Softness.- Exploratory Movement Strategies in Softness Perception.- The Perception of the Centre of Elastic Force Fields: A Model of Integration of the Force and Position Signals.- Dynamic Combination of Movement and Force for Softness Perception.- Perception of Stiffness with Delay.- Section 3: Artificial Softness.- Natural and Artificial Motion Feedback in Compliance Perception.- Softness Displays.- Haptic Augmentation in Soft Tissue Interaction.

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
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Цена: 10366.00 р.
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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.
Multisensory Softness

Автор: Massimiliano Di Luca
Название: Multisensory Softness
ISBN: 144717061X ISBN-13(EAN): 9781447170617
Издательство: Springer
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Цена: 10366.00 р.
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Описание:

Introduction.- Section 1: Perceptual Softness.- Physical Aspects of Softness Perception.- Visual-Haptic Softness.- Vibrotactile Sensation and Softness Perception.- Auditory Perception of Material Properties.- Computational Aspects of Softness Perception.- Section 2: Sensorimotor Softness.- Exploratory Movement Strategies in Softness Perception.- The Perception of the Centre of Elastic Force Fields: A Model of Integration of the Force and Position Signals.- Dynamic Combination of Movement and Force for Softness Perception.- Perception of Stiffness with Delay.- Section 3: Artificial Softness.- Natural and Artificial Motion Feedback in Compliance Perception.- Softness Displays.- Haptic Augmentation in Soft Tissue Interaction.

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
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.

Multisensor Decision And Estimation Fusion

Автор: Yunmin Zhu
Название: Multisensor Decision And Estimation Fusion
ISBN: 146135367X ISBN-13(EAN): 9781461353676
Издательство: Springer
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Цена: 13677.00 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
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Цена: 18904.00 р.
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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 and Integration for Intelligent Systems

Автор: Lee Suk-han; Hanseok Ko; Hernsoo Hahn
Название: Multisensor Fusion and Integration for Intelligent Systems
ISBN: 3642100570 ISBN-13(EAN): 9783642100574
Издательство: Springer
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Цена: 20516.00 р.
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Описание: This volume is aimed at engineers, researchers, educators, and advanced students in the field of Multisensor Fusion and Integration for Intelligent Systems. It includes the recent progress made in theory and applications.

Multisensor data fusion

Название: Multisensor data fusion
ISBN: 1482263742 ISBN-13(EAN): 9781482263749
Издательство: Taylor&Francis
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Цена: 26796.00 р.
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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.

Multisensor Surveillance Systems

Автор: Gian Luca Foresti; Carlo S. Regazzoni; Pramod K. V
Название: Multisensor Surveillance Systems
ISBN: 1461350433 ISBN-13(EAN): 9781461350439
Издательство: Springer
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Цена: 18294.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Monitoring of public and private sites is increasingly becoming a very important and critical issue, especially after the recent flurry of terrorist attacks including the one on the Word Trade Center in September 2001.


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