Multi-Sensor Data Fusion

An Introduction

Authors: Mitchell, H.B.

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  • Presents the first unified treatment of the subject using a Bayesian probabilistic framework
  • Contains details of MATLAB software programs which are available for all the multi-sensor data fusion techniques used in the book
  • Includes an extensive modern bibliography containing more than 400 up-to-date references
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eBook 78,10 €
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  • ISBN 978-3-540-71559-7
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  • Included format: PDF
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About this book

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.

Although conceptually simple, the study of multi-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 this book the processes are described 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 applications and contains an extensive list of modern references. It is accompanied by a webpage from which supplementary material may be obtained, including support for course instructors and links to relevant matlab code.

Table of contents (16 chapters)

Table of contents (16 chapters)

Buy this book

eBook 78,10 €
price for Spain (gross)
  • ISBN 978-3-540-71559-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
Multi-Sensor Data Fusion
Book Subtitle
An Introduction
Authors
Copyright
2007
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-71559-7
DOI
10.1007/978-3-540-71559-7
Edition Number
1
Number of Pages
XIV, 282
Number of Illustrations
81 b/w illustrations
Topics