Multi-Sensor Data Fusion
An Introduction
1st Edition
Published on 30. July 2007
Book
Hardback
XIV, 282 pages
978-3-540-71463-7 (ISBN)
Description
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
More details
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
College/higher education
Research
Product notice
Laminated cover
Illustrations
81 s/w Abbildungen, 59 s/w Tabellen
1, black & white illustrations
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Thickness: 17 mm
Weight
1310 gr
ISBN-13
978-3-540-71463-7 (9783540714637)
DOI
10.1007/978-3-540-71559-7
Schweitzer Classification
Other editions
New editions
Book
01/2026
3rd Edition
Springer
€106.99
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H. B. Mitchell
Data Fusion: Concepts and Ideas
Book
02/2012
2nd Edition
Springer
€106.99
Article exhausted; check for reprint
Additional editions
Book
10/2010
Springer
€99.98
Article exhausted; check for reprint
E-Book
07/2007
1st Edition
Springer
€96.29
Available for download
Content
Basics.- Sensors.- Architecture.- Representation.- Common Representational Format.- Spatial Alignment.- Temporal Alignment.- Sensor Value Normalization.- Data Fusion.- Bayesian Inference.- Parameter Estimation.- Robust Statistics.- Sequential Bayesian Inference.- Bayesian Decision Theory.- Ensemble Learning.- Sensor Management.- Sensor Management.- Appendices.- Software Sources.- Sensor Management.