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Multisensor data fusion, 


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Цена: 25265.00р.
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Название:  Multisensor data fusion
ISBN: 9781482263749
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1482263742
Обложка/Формат: Hardback
Страницы: 663
Вес: 1.40 кг.
Дата издания: 20.08.2015
Серия: Devices, circuits, and systems
Язык: English
Иллюстрации: 53 tables, black and white; 181 illustrations, black and white
Размер: 188 x 261 x 42
Ключевые слова: Communications engineering / telecommunications, TECHNOLOGY & ENGINEERING / Electrical,TECHNOLOGY & ENGINEERING / Sensors
Подзаголовок: From algorithms and architectural design to applications
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Поставляется из: Европейский союз
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 worlds 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, transportations 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: 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: 21661.00 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 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: 27950.00 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: 23508.00 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.

The Handbook of Multimodal-Multisensor Interfaces, Volume 1: Foundations, User Modeling, and Common Modality Combinations

Автор: Sharon Oviatt
Название: The Handbook of Multimodal-Multisensor Interfaces, Volume 1: Foundations, User Modeling, and Common Modality Combinations
ISBN: 197000164X ISBN-13(EAN): 9781970001648
Издательство: Mare Nostrum (Eurospan)
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Цена: 12860.00 р.
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Описание: The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces— user input involving new media (speech, multi-touch, gestures, writing) embedded in multimodal-multisensor interfaces. These interfaces support smart phones, wearables, in-vehicle and robotic applications, and many other areas that are now highly competitive commercially. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This first volume of the handbook presents relevant theory and neuroscience foundations for guiding the development of high-performance systems. Additional chapters discuss approaches to user modeling and interface designs that support user choice, that synergistically combine modalities with sensors, and that blend multimodal input and output. This volume also highlights an in-depth look at the most common multimodal-multisensor combinations—for example, touch and pen input, haptic and non-speech audio output, and speech-centric systems that co-process either gestures, pen input, gaze, or visible lip movements. A common theme throughout these chapters is supporting mobility and individual differences among users. These handbook chapters provide walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this emerging field. In the final section of this volume, experts exchange views on a timely and controversial challenge topic, and how they believe multimodal-multisensor interfaces should be designed in the future to most effectively advance human performance.

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.
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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.

Multisensory Softness

Автор: Massimiliano Di Luca
Название: Multisensory Softness
ISBN: 144717061X ISBN-13(EAN): 9781447170617
Издательство: Springer
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Цена: 11878.00 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: 11878.00 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.

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