Linear Algebra for Localization

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Authors: Ahmed Al-Muraeb
Cited by: 0

Abstract

This book emphasises the vital role of linear algebraic models in solving localization problems, as well as many other problems in algorithms, data science, and Artificial Intelligence. Localization has multi-industrial applications, which this book attempts to address through linear algebraic approaches while using the dominant C++ programming language in those industries. Features • Provides clear, illustrative descriptions of the main linear algebra topics and advanced algorithms in localization problems. • C++ implementations available via associated GitHub repository, including detailed explanations, flowcharts, UML diagrams and text, and code runs output. • Case study by the author for an advanced topics in automotive application.

Fields of Study & Subjects

Robotics and Sensor-Based Localization Indoor and Outdoor Localization Technologies Target Tracking and Data Fusion in Sensor Networks

Publication details

Journal / source
Chapman & Hall/CRC eBooks
Publication date
28 January 2026
Language
EN
Document type
Book