Divided into five parts, this book offers an introduction to data fusion terminology and models. It describes advanced techniques for data association, target tracking, and identification; and presents information on system development, including requirements analysis, systems engineering, algorithm selection, and database design. 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: offers a thorough introduction to data fusion terminology and models; describes advanced techniques for data association, target tracking, and identification; presents practical information on system development, including requirements analysis, systems engineering, algorithm selection, database design, human-computer interfaces, and performance assessment introduces applications from the DoD, NASA, DARPA, and condition-based monitoring of complex machinery; and 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. Annotation Contributors from US universities and military agencies offer systems designers and researchers information on terminology, models, algorithms, system engineering issues, and examples of models. The technology is used primarily by the US Department of Defense in such areas as automated target recognition, identification-friend-foe- neutral recognition systems, battlefield surveillance, and guidance and control of autonomous vehicles; it is also used for surveillance and monitoring in civilian contexts. Among the applications described are predictive diagnostics for electromechanical systems, information technology for NASA, and a distributed ground-based sensing system. Annotation c. Book News, Inc., Portland, OR (booknews.com) Integration or fusion of data from multiple sensors improves the accuracy of applications ranging from target tracking and battlefield surveillance to nondefense applications such as industrial process monitoring and medical diagnosis.
