Mathematical Techniques In Multisensor Data Fusion
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Overview
This invaluable reference offers the most comprehensive introduction available to the concepts of multisensor data fusion. It introduces key algorithms, provides advice on their utilization, and raises issues associated with their implementation. With a diverse set of mathematical and heuristic techniques for combining data from multiple sources, the book shows how to implement a data fusion system, describes the process for algorithm selection, functional architectures and requirements for ancillary software, and illustrates man-machine interface requirements an database issues.Synopsis
Hall (associate dean for research, The Pennsylvania State University School of Information Sciences and Technology) and McMullen, a captain with the US Air Force, assist practitioners in selecting the appropriate algorithm for implementing a data fusion system, and offer guidance in determining the trade-offs among competing data fusion algorithms, selecting commercial off-the-shelf tools, and understanding when data fusion improves system processing. New chapters in this second edition explain data fusion system control and the latest applications of data fusion in data warehousing, medical equipment, and defense systems. Annotation ©2004 Book News, Inc., Portland, OR
Booknews
Research into how to combine data from multiple (and sometimes different) sensors to find out what is going on, has been split between military (battlefield surveillance, etc.) and non-military (robotics, etc.) concerns. The two groups don't speak to each other, and have developed different approaches, techniques, and terminology. Here is a distillation of the mathematics they both use for data- fusion reduced to the bare bones to be comprehensible to researchers and application engineers in many fields. Annotation c. Book News, Inc., Portland, OR (booknews.com)