| Handbook
of Multisensor Data Fusion
| David
L Hall |
|
Pennsylvania
State University, State College, Pennsylvania, |
| James
Llinas |
|
State
University of New York, Buffalo, New York, USA |
| Series:
Electrical Engineering & Applied Signal Processing
Series Volume: 3 |
|
| |
- Provides
a complete manual on data fusion, from basic information to
state-of-the-art theories
- Shows
how to perform tradeoffs, select algorithms, and actually design
a data fusion system
- Presents
never-before-published advances in multi-sensor, multitarget
tracking and association
- Offers
insight into both DoD and non-DoD applications
The
emerging technology of multisensor data fusion has a wide range
of applications, both in Department of Defense (DoD) areas and
in the civilian arena. The techniques of multisensor data fusion
draw from an equally broad range of disciplines, including artificial
intelligence, pattern recognition, and statistical estimation.
With the rapid evolution of computers and the maturation of data
fusion technology, the door to using data fusion in everyday applications
is now wide open and presenting great opportunities.
The
Handbook of Multisensor Data Fusion provides a unique, comprehensive,
and up-to-date resource for data fusion systems designers and
researchers. Divided into five parts, it:
o
offers a thorough introduction to data fusion terminology and
models
o describes advanced techniques for data association, target tracking,
and identification
o presents practical information on system development, including
requirements analysis, systems engineering, algorithm selection,
database design, human-computer interfaces, and performance assessment
o introduces applications from the DoD, NASA, DARPA, and condition-based
monitoring of complex machinery
o supplies data fusion resources and Web sites
The
contributing authors are all recognized leaders in data fusion
and have collaborated to provide what promises to be the definitive
reference for this rapidly developing field. Whether you are a
researcher, system designer, implementer, or student, in the Handbook
of Multisensor Data Fusion you'll find everything you need, from
a basic introduction and survey of data fusion technology to advanced
mathematics and theory, including very practical advice on data
fusion system development and implementation. |