Data Fusion: Concepts and Ideas

Authors: Mitchell, H B

  • Comprehensive introduction to the concepts and idea of multisensor data fusion
  • Extensively revised second edition of the book: "Multi-Sensor Data Fusion:  An Introduction"
  • Illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references
  • Self-contained book, no previous knowledge of multi-sensor data fusion is assumed
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eBook $69.99
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  • ISBN 978-3-642-27222-6
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Hardcover $99.00
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  • ISBN 978-3-642-27221-9
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Softcover $99.00
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  • ISBN 978-3-642-43730-4
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About this Textbook

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion.
It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion:
An Introduction" which was originally published by Springer-Verlag in 2007.
The main changes in the new book are:
 
New Material: Apart from one new chapter there are approximately 30 new sections, 50 new examples and 100 new references. At the same time, material which is out-of-date has been eliminated and the remaining text has been rewritten for added clarity. Altogether, the new book is nearly 70 pages
longer than the original book.

Matlab code: Where appropriate we have given details of Matlab code which may be downloaded from the worldwide web. In a few places, where such code is not readily available, we have included Matlab code in the body of the text.

Layout. The layout and typography has been revised. Examples and Matlab code now appear on a gray background for easy identification and advancd material is marked with an asterisk.

The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability is recommended.

Although conceptually simple, the study of mult-sensor data fusion presents challenges that are unique within the education of the electrical engineer or computer scientist. To become competent in the field the student must become familiar with tools taken from a wide range of diverse subjects
including: neural networks, signal processing, statistical estimation, tracking algorithms, computer vision and control theory. All too often, the student views multi-sensor data fusion as a miscellaneous assortment of different processes which bear no relationship to each other. In contrast, in this book the processes are unified by using a common statistical framework. As a consequence, the underlying pattern of relationships that exists between the different methodologies is made evident.

The book is illustrated with many real-life examples taken from a diverse range of applications and contains an extensive list of modern references.

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Table of contents (15 chapters)

Buy this book

eBook $69.99
price for USA
  • ISBN 978-3-642-27222-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $99.00
price for USA
  • ISBN 978-3-642-27221-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $99.00
price for USA
  • ISBN 978-3-642-43730-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Data Fusion: Concepts and Ideas
Authors
Copyright
2012
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-27222-6
DOI
10.1007/978-3-642-27222-6
Hardcover ISBN
978-3-642-27221-9
Softcover ISBN
978-3-642-43730-4
Edition Number
2
Number of Pages
XIV, 346
Topics