Data fusion and sensor management : a decentralized information-theoretic approach
Author(s)
Bibliographic Information
Data fusion and sensor management : a decentralized information-theoretic approach
（Ellis Horwood series in electrical and electronic engineering）
Ellis Horwood, 1994
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Errata slip inserted
Includes bibliographical references (p. [249]-262) and index
Description and Table of Contents
Description
Presenting a single probability-based information-theoretic model for addressing issues in data fusion and sensor management for multi-sensor systems in general and decentralized systems in particular, this text develops mutually consistent data fusion architectures and algorithms. The algorithms are various architectural forms of the information filter and a corresponding Bayesian classification algorithm. Of significance is the normative sensor management method, making use of information-based utility functions.
Table of Contents
- A probabilistic model for managed data fusion
- architectures and algorithms
- data fusion management
- a sensor model
- data fusion for robot navigation
- demonstrating sensor management
- towards general and robust managed data fusion systems.
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