Multisensor fusion estimation theory and application
This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and syste...
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| Main Author: |
Yan, Liping, |
| Other Authors: |
Jiang, Lu,, Xia, Yuanqing,, SpringerLink (Online service) |
| Format: |
eBook
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| Language: |
English
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| Published: |
Singapore :
Springer,
[2021]
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| Physical Description: |
1 online resource (xvii, 227 pages) : illustrations (some color)
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| Subjects: |
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