Data Fusion in Robotics and Machine Intelligence

, by Abidi, Mongi A.; Gonzalez, Rafael C.

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ISBN: 9780120421206 | 0120421208
Cover: Hardcover
Copyright: 10/1/1992

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This book addresses the techniques for modeling and integration of data provided by different sensors within robotics and knowledge sources within machine intelligence. Leaders in robotics and machine intelligence capture state-of-the-art technology in data sensor fusion and give a unified vision of the future of the field, presented from both the theoretical and practical angles.

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Introduction
Data Fusion and Sensor Integration: State of the Art 1990s
Multi-Source Spatial Fusion Using Bayesian Reasoning
Multi-Sensor Strategies Using Dempster/Shafer Belief Accumulation
Data Fusion Techniques Using Robust Statistics
Recursive Fusion Operators: Desirable Properties and Illustrations
Distributed Data Fusion Using Kalman Filtering
Least-Squares Fusion of Multi-Sensory Data
Fusion of Multi-Dimensional Data Using Regularization
Geometric Fusion: Minimizing Uncertainty Ellipsoid Volumes
Combination of Fuzzy Information in the Framework of Possibility Theory
Data Fusion: A Neural Networks Implementation
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Data Fusion in Robotics and Machine Intelligence

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