Robotics & Computer Vision, Signal Processing - General & Miscellaneous, Artificial Intelligence - General, DSPs, Neural Networks
Log in to track your reading progress.
Overview
This professional reference book is the latest version of Data and Sensor Fusion Concepts and Applications (SPIE Vol. TT35). In this edition, Dr. Klein has substantially expanded and updated the information to incorporate recent approaches to data and sensor fusion. For example, classical inference is a new topic, and the chapter on Dempster-Shafer theory is more comprehensive. The book also provides a summary of the information required to implement each of the data fusion methods.Synopsis
Klein, a consultant in data and sensor fusion applications, describes the benefits of sensor fusion by considering the characteristics of infrared, microwave, and millimeter-wave sensors. Data fusion algorithms discussed in detail include classical inference, Bayesian inference, Dempster-Shafer evidential theory, artificial neural networks, voting logic as derived from Boolean algebra expressions, and fuzzy logic. The text can be used in courses on multisensor, multitarget data fusion techniques for tracking and identification of potential targets. Annotation © 2004 Book News, Inc., Portland, OR
Book Details
Published
July 1, 2004
Publisher
SPIE Press
Pages
342
Format
Hardcover
ISBN
9780819454355