Multisensor Data Fusion : From Algorithms and Architectural Design to Applications
Language: English
Published by CRC Press, 2020
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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nach der Bestellung gedruckt Neuware - Printed after ordering - 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 sensorsDescribes new materials and achievements in optimal fusion and multisensor filtersDiscusses the advantages and challenges associated with multisensor data fusion, from extended spatial and temporal coverage to imperfection and diversity in sensor technologiesExplores the topology, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architecturesShowcases applications of multisensor data fusion in fields such as medicine, transportation's traffic, defense, and navigationMultisensor 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.…
Seller Inventory # 9780367656287
- Title
- Multisensor Data Fusion : From Algorithms and Architectural Design to Applications
- Author
- Hassen Fourati
- Publisher
- CRC Press
- Publication year
- 2020
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0367656280
- ISBN 13
- 9780367656287
- Item weight
- 1,228 grams
- Dimensions
- 254x178x35 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
Hassen Fourati is currently an associate professor in the Electrical Engineering and Computer Science Department at the University Grenoble Alpes, Grenoble, France, and a member of the Networked Controlled Systems Team (NeCS), affiliated with the Automatic Control Department of the Laboratoire Grenoble Images Parole Signal Automatique (GIPSA-LAB) and the Institut National de Recherche en Informatique et en Automatique (INRIA). He holds a B.Eng in electrical engineering from the National Engineering School of Sfax, Tunisia; master’s in automated systems and control from the University of Claude Bernard, Lyon, France; and Ph.D in automatic control from the University of Strasbourg, France. His research interests include nonlinear filtering, estimation, and multisensor fusion with applications in navigation, inertial and magnetic sensors, robotics, and traffic management. He has published several research journal articles, papers in international conferences, and book chapters.
"About the title" may belong to another edition of this title.
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