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Tracking and Sensor Data Fusion: Methodological Framework and Selected Applications

✍ Scribed by Wolfgang Koch (auth.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
2014
Tongue
English
Leaves
261
Series
Mathematical Engineering
Edition
1
Category
Library

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✦ Synopsis


Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved. Typically, this insight is either unobtainable otherwise or a fusion result exceeds what can be produced from a single sensor output in accuracy, reliability, or cost.

This book provides an introduction Sensor Data Fusion, as an information technology as well as a branch of engineering science and informatics. Part I presents a coherent methodological framework, thus providing the prerequisites for discussing selected applications in Part II of the book. The presentation mirrors the author's views on the subject and emphasizes his own contributions to the development of particular aspects.

With some delay, Sensor Data Fusion is likely to develop along lines similar to the evolution of another modern key technology whose origin is in the military domain, the Internet. It is the author's firm conviction that until now, scientists and engineers have only scratched the surface of the vast range of opportunities for research, engineering, and product development that still waits to be explored: the Internet of the Sensors.

✦ Table of Contents


Front Matter....Pages i-xvii
Notion and Structure of Sensor Data Fusion....Pages 1-27
Front Matter....Pages 29-29
Characterizing Objects and Sensors....Pages 31-52
Bayesian Knowledge Propagation....Pages 53-82
Sequential Track Extraction....Pages 83-88
On Recursive Batch Processing....Pages 89-105
Aspects of Track-to-Track Fusion....Pages 107-123
Front Matter....Pages 125-125
Integration of Advanced Sensor Properties....Pages 127-156
Integration of Advanced Object Properties....Pages 157-185
Integration of Topographical Information....Pages 187-210
Feed-Back to Acquisition: Sensor Management....Pages 211-235
Back Matter....Pages 237-253

✦ Subjects


Signal, Image and Speech Processing; Artificial Intelligence (incl. Robotics); Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences


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