Overview

“The Present and Future of Indoor Navigation” provides a complete overview of the latest indoor navigation technologies, algorithms, and systems. It begins by discussing various types of sensors that can be used for indoor navigation, such as accelerometers, gyroscopes, barometers, magnetometers, and cameras. It covers the numberous algorithms that can be used to compute the navigation solution, including Kalman filtering, particle filtering, and machine learning. Also, it discusses the system implementation considerations for indoor navigation, such as infrastructure, data fusion, and security.   The book's focus is on present technologies and algorithms, as well as provideing a look into the future possibilities for indoor navigation, making it a great resource for a wide audience. This includes researchers, engineers, and students who are interested in indoor navigation. It is also a valuable resource for anyone who wants to learn more about the latest technologies and algorithms for indoor navigation.

Full Product Details

Author:   Laura Ruotsalainen ,  Martti Kirkko-Jaakkola ,  Jukka Talvitie
Publisher:   Artech House Publishers
Imprint:   Artech House Publishers
Edition:   Unabridged edition
Dimensions:   Width: 16.00cm , Height: 1.00cm , Length: 23.60cm
Weight:   0.463kg
ISBN:  

9781630819675

ISBN 10:   1630819670
Pages:   300
Publication Date:   30 November 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 Introduction 1.1 Overview 1.2 Preliminaries   2 Positioning measurements, sensors, and their errors 2.1 Radio signals 2.2 Sensors 2.3 Computer Vision 2.4 Summary   3 Positioning and navigation algorithms 3.1 From Measurements to Position – Static Positioning 3.2 Theoretical error analysis 3.4 Fingerprinting 3.5 Dead reckoning 3.6 Time Series Estimation 3.7 Future of Navigation Algorithms - Machine Learning 3.8 Summary   4 Navigation System Setup 4.1 Maps 4.2 Simultaneous Localization And Mapping SLAM 4.3 Cooperative navigation 4.4 Computer Vision based Tracking 4.5 Radio-based indoor positioning 4.6 Summary

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