Multi-Sensor Fusion: Fundamentals and Applications with Software - Hardcover

Brooks, Richard R.; Iyengar, Sundararaja S.

9780139016530: Multi-Sensor Fusion: Fundamentals and Applications with Software

Hardcover

ISBN 10: 0139016538 ISBN 13: 9780139016530

Publisher: Prentice Hall, 1997

-- Covers applications in aviation, medicine, military, manufacturing and transportation.-- Presents new approaches to image registration, sensor selection and other fusion-related problems.-- Includes Sensor Fusion Toolkit, a series of working C programs for building multi-sensor fusion applications.In order to deal with the real world, automated systems must deal with data which is noisy, incomplete, and not always accurate. Multi-sensor fusion has emerged as the best method for maximizing the reliability of data inputs to these systems. This book represents the first broad, practical text on the subject - covering all the technologies and data structures associated with multi-sensor fusion.The book explains the underlying concepts of multi-sensor fusion, which allows data to be collected from several sources and combined, delivering the most accurate overall picture for use by automated systems. It includes over 100 illustrations, especially helpful in understanding data structures needed to model multi-dimensional data. Part 3 of the book builds on six years of sensor fusion research for the Office of Naval Research, presenting novel approaches to fusion related problems such as image registration, distributed agreement, and sensor selection, as well as efficient algorithms for fusing sensor data. The book comes with a set of functioning C programs that implement the applications discussed, including neural networks, genetic algorithms, tabu search and simulated annealing. The Sensor Fusion Toolkit includes both an example Kalman filter and the authors' own Distributed Dynamic Sensor Fusion algorithm, which is easier to use and solves a wider variety of problems.

"synopsis" may belong to another edition of this title.

From the Back Cover:

90165-2

Increasingly, applications require computers to interface with the real world and draw data directly from it. These applications range from defense to medicine, manufacturing to environmental health. They all depend on inputs that are noisy, incomplete, and of limited accuracy.

This book introduces multi-sensor fusion, which has emerged as the method of choice for implementing robust systems that can handle imperfect inputs. It represents the first broad, practical text on the subject - covering all the technologies and methods associated with multi-sensor fusion, including:

Multidimensional data structures
Techniques for reasoning with uncertainty
Approaches to enhancing system dependability
Working with meta-heuristics

The book reflects six years of sensor fusion research for the Office of Naval Research, introducing novel solutions to challenges such as image registration, distributed agreement, and sensor selection.

Multi-Sensor Fusion focuses extensively on applications, including neural networks, genetic algorithms, tabu search and simulated annealing. It comes with a set of functioning C programs on disk to implement these applications. This Sensor Fusion Toolkit includes both a standard Kalman filter and the authors' enhanced Distributed Dynamic Sensor Fusion algorithm, which is easier to use and solves more problems.

This is the essential tutorial and reference for any professional or advanced student developing systems that utilize sensor input, including computer scientists, electrical, mechanical and chemical engineers.

"About this title" may belong to another edition of this title.