Multi-Sensor Data Fusion
An Introduction
Published on 15. October 2010
Book
Paperback/Softback
XIV, 282 pages
978-3-642-09067-7 (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
Edition
Softcover reprint of hardcover 1st ed. 2007
Language
English
Place of publication
Heidelberg
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
59
81 s/w Abbildungen, 59 s/w Tabellen
59 Tables, black and white; 81 Illustrations, black and white; XIV, 282 p. 81 illus.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
456 gr
ISBN-13
978-3-642-09067-7 (9783642090677)
DOI
10.1007/978-3-540-71559-7
Schweitzer Classification
Other editions
New editions
H. B. Mitchell
Data Fusion: Concepts and Ideas
Book
04/2014
2nd Edition
Springer
€106.99
Shipment within 7-9 days
Additional editions
Book
07/2007
1st Edition
Springer
€74.85
Article exhausted; check for reprint
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.