Overview
- Provides a self-contained, unified introduction to Bayesian sensor data fusion
- Covers comprehensively methodological aspects not covered by other textbooks
- Discusses advanced application examples from different areas not covered by other textbooks
- A guide to the latest research literature for graduate students, researchers, and practitioners
- Includes supplementary material: sn.pub/extras
Part of the book series: Mathematical Engineering (MATHENGIN)
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Table of contents (10 chapters)
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Front Matter
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Sensor Data Fusion: Methodological Framework
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Front Matter
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Sensor Data Fusion: Selected Applications
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Front Matter
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Back Matter
Keywords
About this book
Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved. Typically, this insight is either unobtainable otherwise or a fusion result exceeds what can be produced from a single sensor output in accuracy, reliability, or cost.
This book provides an introduction Sensor Data Fusion, as an information technology as well as a branch of engineering science and informatics. Part I presents a coherent methodological framework, thus providing the prerequisites for discussing selected applications in Part II of the book. The presentation mirrors the author's views on the subject and emphasizes his own contributions to the development of particular aspects.
With some delay, Sensor Data Fusion is likely to develop along lines similar to the evolution of another modern key technology whose origin is in the military domain, the Internet. It is the author's firm conviction that until now, scientists and engineers have only scratched the surface of the vast range of opportunities for research, engineering, and product development that still waits to be explored: the Internet of the Sensors.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Tracking and Sensor Data Fusion
Book Subtitle: Methodological Framework and Selected Applications
Authors: Wolfgang Koch
Series Title: Mathematical Engineering
DOI: https://doi.org/10.1007/978-3-642-39271-9
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-39270-2Published: 07 October 2013
Softcover ISBN: 978-3-662-52016-1Published: 23 August 2016
eBook ISBN: 978-3-642-39271-9Published: 20 September 2013
Series ISSN: 2192-4732
Series E-ISSN: 2192-4740
Edition Number: 1
Number of Pages: XVII, 253
Number of Illustrations: 73 b/w illustrations, 6 illustrations in colour
Topics: Signal, Image and Speech Processing, Artificial Intelligence, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences