9783642392702-3642392709-Tracking and Sensor Data Fusion: Methodological Framework and Selected Applications (Mathematical Engineering)

Tracking and Sensor Data Fusion: Methodological Framework and Selected Applications (Mathematical Engineering)

ISBN-13: 9783642392702
ISBN-10: 3642392709
Edition: 2014
Author: Wolfgang Koch
Publication date: 2013
Publisher: Springer
Format: Hardcover 270 pages
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Book details

ISBN-13: 9783642392702
ISBN-10: 3642392709
Edition: 2014
Author: Wolfgang Koch
Publication date: 2013
Publisher: Springer
Format: Hardcover 270 pages

Summary

Tracking and Sensor Data Fusion: Methodological Framework and Selected Applications (Mathematical Engineering) (ISBN-13: 9783642392702 and ISBN-10: 3642392709), written by authors Wolfgang Koch, was published by Springer in 2013. With an overall rating of 3.8 stars, it's a notable title among other AI & Machine Learning (Computer Science) books. You can easily purchase or rent Tracking and Sensor Data Fusion: Methodological Framework and Selected Applications (Mathematical Engineering) (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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