£134.55

Springer - Kalman Filtering and Information Fusion Book

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£138.17 £113.64 £118.99 £124.34 £129.70 £135.05 £140.40 27 January 2026 18 February 2026 12 March 2026 03 April 2026 25 April 2026

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Most common price: £117 (51 days, 63.0%)

Price range: £116 - £138

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Description

Master one of the most significant discoveries in 20th-century digital information processing. This technical book from Springer provides a comprehensive look at Kalman filtering and its practical applications in modern technology. Readers will learn how to manage various uncertainties within a single plant using adaptive estimation solutions. The text moves beyond basic concepts to explore the complex challenges of applying Kalman filtering to multi-sensor and multi-agent systems. It is designed for those working with advanced technologies where data precision is a priority. By studying these methods, you gain insight into how sensors work together in sophisticated environments. This resource is highly relevant for professionals and students focusing on the development of intelligent robots, autonomous cars, and smart home technologies. It bridges the gap between theoretical estimation and real-world implementation in systems that rely on accurate, fused data from multiple sources.

Key Features

Covers essential Kalman filtering techniques used in digital information processing and adaptive estimation.

Explains how to address and solve various uncertainty issues within a single plant environment.

Provides detailed discussions on applying filtering technology to multi-sensor and multi-agent systems.

Offers technical insights applicable to the development of intelligent robots and autonomous vehicles.

Supports research and implementation for smart home technology and multi-sensor integration.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 December 2020
Listed Since
10 November 2020

Barcode

No barcode data available

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