Uncertainty theories and multisensor data fusion / Alain Appriou.
Material type:
- 9781848213548
- 623.042 23 Ap652
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 623.042 Ap652 (Browse shelf(Opens below)) | Available | 136428 |
Includes bibliographical references and index.
Introduction--
1. Multisensor data fusion--
2. Reference formalisms--
3. Set management and information propagation--
4. Managing the reliability of information--
5. Combination of sources--
6. Data modeling--
7. Classification: decision-making and exploitation of the diversity of information sources--
8. Spatial dimension: data association--
9. Temporal dimension: tracking--
Conclusion--
Bibliography--
Index.
Addressing recent challenges and developments in this growing field, Multisensor Data Fusion Uncertainty Theory first discusses basic questions such as: Why and when is multiple sensor fusion necessary? How can the available measurements be characterized in such a case? What is the purpose and the specificity of information fusion processing in multiple sensor systems? Considering the different uncertainty formalisms, a set of coherent operators corresponding to the different steps of a complete fusion process is then developed, in order to meet the requirements identified in the first part of the book.
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