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Mathematical Techniques in Multi-sensor Data Fusion David L. Hall

Mathematical Techniques in Multi-sensor Data Fusion By David L. Hall

Mathematical Techniques in Multi-sensor Data Fusion by David L. Hall


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Summary

Introduces key algorithms, provides advice on their utilization and raises issues associated with their implementation. It is supported by 100 equations, 75 illustrations and references to more rigorous and mathematical sources.

Mathematical Techniques in Multi-sensor Data Fusion Summary

Mathematical Techniques in Multi-sensor Data Fusion by David L. Hall

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.

Table of Contents

Introduction to multisensor data fusion; sensors and sensor data - data inputs; the inference hierarchy; a taxonomy of data fusion techniques; data association; positional fusion; identity declaration and pattern recognition; identity fusion; knowledge based approaches; implementation of data fusion systems.

Additional information

NPB9780890065587
9780890065587
0890065586
Mathematical Techniques in Multi-sensor Data Fusion by David L. Hall
New
Hardback
Artech House Publishers
1992-02-19
320
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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