£111.06

Springer Tracking and Sensor Data Fusion - Engineering Book

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Description

Improve your understanding of complex real-world phenomena with Tracking and Sensor Data Fusion: Methodological Framework and Selected Applications. This technical book from Springer explores the process of combining incomplete and imperfect pieces of mutually complementary sensor information. By integrating multiple data sources, you can achieve results that exceed the accuracy, reliability, or cost-effectiveness of a single sensor output. Designed for professionals and students in engineering science and informatics, this text treats sensor data fusion as both an information technology and a core branch of engineering. The content provides a foundational introduction to the subject, helping readers grasp how to turn fragmented data into actionable insights. Whether you are studying mathematical engineering or applying these concepts to practical systems, this book offers a structured approach to mastering data integration and sensor technology.

Key Features

Learn how to combine incomplete and imperfect sensor information to achieve a better understanding of real-world phenomena.

Gain insights into how fusion results can exceed the accuracy and reliability of single sensor outputs.

Explore sensor data fusion through the lenses of information technology, engineering science, and informatics.

Access a coherent methodological framework presented in the first part of the book to build a strong technical foundation.

Study practical applications and mathematical engineering principles used to optimize sensor data integration.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
23 August 2016
Listed Since
28 July 2016

Barcode

No barcode data available

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