TY  - BOOK
AU  - Appriou,Alain
TI  - Uncertainty theories and multisensor data fusion
T2  - Instrumentation and measurement series
SN  - 9781848213548
U1  - 623.042 23
PY  - 2014///
CY  - Hoboken, NJ
PB  - ISTE Ltd/John Wiley and Sons Inc
KW  - Multisensor data fusion.
KW  - Uncertainty (Information theory)
N1  - 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
N2  - 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
ER  -