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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.
Info autore
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.
Riassunto
This book covers the theory and practice of multisensor data fusion, from fundamental concepts to cutting-edge techniques drawn from a broad array of disciplines. Featuring contributions from data fusion researchers and academicians, the text discusses the advantages and challenges associated with multisensor data fusion, from extended spatial a
