H.B. Mitchell

Multi-Sensor Data Fusion (eBook, PDF)

An Introduction

• Format: PDF

Produktbeschreibung

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 intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.

Produktdetails

• Verlag: Springer Berlin
• Erscheinungstermin: 13. Juli 2007
• Englisch
• ISBN-13: 9783540715597
• Artikelnr.: 37367429

Inhaltsangabe

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.