Multi-Sensor Data Fusion : An Introduction
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intend...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multi-sensor data fusion, an introduction, H. B. Mitchell, 2007, Berlin, Springer Verlag, 1 vol. (XIV-281 p.), 978-3-540-71463-7 |
Sommario:
- Basics Sensors Architecture Representation Common Representational Format Spatial Alignment Temporal Alignment Sensor Value Normalization Data Fusion Bayesian Inference Parameter Estimation Robust Statistics Sequential Bayesian Inference Bayesian Decision Theory Ensemble Learning Sensor Management Sensor Management Appendices Software Sources Sensor Management