Data Fusion in Robotics & Machine Intelligence
- Binding: Hardcover
- Publisher: Academic Press
- Publish date: 10/12/1992
Description:
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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Product notice
Returnable at the third party seller's discretion and may come without consumable supplements like access codes, CD's, or workbooks.
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