Series:

Press Monographs

3 total works

Cover of Sensor and Data Fusion

Sensor and Data Fusion

by Lawrence A. Klein

Published 6 August 2004
This book illustrates the benefits of sensor fusion by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance. Topics include applications of multiple-sensor systems; target, background, and atmospheric signature-generation phenomena and modelling; and methods of combining multiple-sensor data in target identity and tracking data fusion architectures. Weather forecasting, Earth resource surveys that use remote sensing, vehicular traffic management, target classification and tracking, military and homeland defence, and battlefield assessment are some of the applications that benefit from the discussions of signature-generation phenomena, sensor fusion architectures, and data fusion algorithms provided in this text.

The information in this edition has been substantially expanded and updated to incorporate recent approaches to sensor and data fusion, as well as application examples. A new chapter about data fusion issues associated with multiple-radar tracking systems has also been added.

Cover of Sensor and Data Fusion for Intelligent Transportation Systems
Sensor and Data Fusion for Intelligent Transportation Systems introduces readers to the roles of the data fusion processes defined by the Joint Directors of Laboratories (JDL) data fusion model and the Data Fusion Information Group (DFIG) enhancements, data fusion algorithms, and noteworthy applications of data fusion to intelligent transportation systems (ITS). Additionally, the monograph offers detailed descriptions of three of the widely applied data fusion techniques and their relevance to ITS (namely, Bayesian inference, Dempster?Shafer evidential reasoning, and Kalman filtering), and indicates directions for future research in the area of data fusion. The focus is on data fusion algorithms rather than on sensor and data fusion architectures, although the book does summarize factors that influence the selection of a fusion architecture and several architecture frameworks.

Cover of Sensor and Data Fusion: A Tool for Information Assessment and Decision Making

This book illustrates the benefits of sensor fusion by considering the characteristics of infrared, microwave, and millimeter-wave sensors, including the influence of the atmosphere on their performance.

Applications that benefit from this technology include:

  • vehicular traffic management
  • remote sensing
  • target classification and tracking
  • weather forecasting
  • military and homeland defense

Covering data fusion algorithms in detail, Klein includes a summary of the information required to implement each of the algorithms discussed, and outlines system application scenarios that may limit sensor size but that require high resolution data.