£121.88

Springer Tracking and Sensor Data Fusion - Mathematical Engineering Book

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Description

Tracking and Sensor Data Fusion by Springer is a comprehensive guide to combining incomplete and imperfect sensor information to achieve superior understanding of real-world phenomena. This Mathematical Engineering text introduces sensor data fusion as both an information technology and engineering science discipline, delivering insights that single sensors cannot provide alone. The book presents a coherent methodological framework in Part I, establishing foundational concepts for fusing complementary sensor data to improve accuracy, reliability, and cost-effectiveness. Whether you need better data integration for research, engineering applications, or informatics projects, this Springer publication offers systematic approaches to extracting maximum value from multiple sensor sources. Ideal for engineers, researchers, and students seeking to master data fusion techniques and their practical applications across diverse industries.

Key Features

Springer's Mathematical Engineering series provides rigorous theoretical foundations and methodological frameworks for understanding sensor data fusion principles.

Part I establishes a coherent approach to combining incomplete and imperfect sensor information from multiple sources.

The book explains how sensor data fusion achieves superior accuracy, reliability, and cost-efficiency compared to single-sensor outputs.

Covers tracking and sensor data fusion as both information technology and engineering science discipline with real-world applications.

Product Specifications

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

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