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Centimeter Level Location Tracking System Using Commercial-off-the-Shelf Devices

Indoor localization systems are crucial for a range of applications, including navigation, augmented reality, and emergency services. However, achieving centimeter-level accuracy indoors remains a persistent challenge. Existing solutions based on WiFi, Bluetooth Low Energy, or dedicated Ultra-Wideba...

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Main Author: Ibrahim, Mohamed
Format: Thesis
Published: AUC Knowledge Fountain 2025
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access_status_str Open Access
author Ibrahim, Mohamed
author_browse Ibrahim, Mohamed
author_facet Ibrahim, Mohamed
author_sort Ibrahim, Mohamed
collection Thesis
description Indoor localization systems are crucial for a range of applications, including navigation, augmented reality, and emergency services. However, achieving centimeter-level accuracy indoors remains a persistent challenge. Existing solutions based on WiFi, Bluetooth Low Energy, or dedicated Ultra-Wideband infrastructure often suffer from high calibration overheads, limited scalability, and significant deployment costs. Despite the growing availability of personal trackers with Ultra-Wideband capabilities, such as Apple AirTags, their use for human localization has remained a largely unexplored research topic. This thesis addresses this gap by investigating how personal trackers can be repurposed for accurate, calibration-free, and infrastructure-free indoor localization. First, we propose two complementary systems: UbiLoc, which enhances traditional multilateration through AirTag selection and weighting techniques for static setups. Then, we introduce AirLoc, a dynamic GraphSLAM-based system capable of localizing users even when AirTags are mobile. We evaluate both systems through extensive experiments in two real-world indoor environments. UbiLoc achieves median localization errors between 26 and 31.5 cm, while AirLoc delivers median accuracy between 5 and 5.4 cm, even under dynamic conditions. We also assess system robustness under varying AirTag densities and examine key factors such as battery usage and privacy implications. Although personal trackers were originally designed for object tracking, these findings demonstrate that personal trackers can form the backbone of scalable and user-centric indoor localization. This opens new opportunities for low-cost, widely deployable localization systems that require no calibration or dedicated infrastructure, paving the way for smarter and more adaptive environments.
format Thesis
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institution American University in Cairo (Egypt)
last_indexed 2026-06-10T12:35:59.828Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from AUC Knowledge Fountain — bepress
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher AUC Knowledge Fountain
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source_str AUC Knowledge Fountain — bepress
spelling oai:fount.aucegypt.edu:etds-3684 Centimeter Level Location Tracking System Using Commercial-off-the-Shelf Devices Ibrahim, Mohamed Indoor localization systems are crucial for a range of applications, including navigation, augmented reality, and emergency services. However, achieving centimeter-level accuracy indoors remains a persistent challenge. Existing solutions based on WiFi, Bluetooth Low Energy, or dedicated Ultra-Wideband infrastructure often suffer from high calibration overheads, limited scalability, and significant deployment costs. Despite the growing availability of personal trackers with Ultra-Wideband capabilities, such as Apple AirTags, their use for human localization has remained a largely unexplored research topic. This thesis addresses this gap by investigating how personal trackers can be repurposed for accurate, calibration-free, and infrastructure-free indoor localization. First, we propose two complementary systems: UbiLoc, which enhances traditional multilateration through AirTag selection and weighting techniques for static setups. Then, we introduce AirLoc, a dynamic GraphSLAM-based system capable of localizing users even when AirTags are mobile. We evaluate both systems through extensive experiments in two real-world indoor environments. UbiLoc achieves median localization errors between 26 and 31.5 cm, while AirLoc delivers median accuracy between 5 and 5.4 cm, even under dynamic conditions. We also assess system robustness under varying AirTag densities and examine key factors such as battery usage and privacy implications. Although personal trackers were originally designed for object tracking, these findings demonstrate that personal trackers can form the backbone of scalable and user-centric indoor localization. This opens new opportunities for low-cost, widely deployable localization systems that require no calibration or dedicated infrastructure, paving the way for smarter and more adaptive environments. 2025-12-31T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/2627 https://fount.aucegypt.edu/context/etds/article/3684/viewcontent/mohamed_ibrahim_hany_salem_ibrahim_thesis.pdf Theses and Dissertations AUC Knowledge Fountain Location based services Human-centered computing Ubiquitous and mobile computing Indoor localization Unsupervised localization AirTags Mobile computing Personal Trackers Digital Communications and Networking
spellingShingle Location based services
Human-centered computing
Ubiquitous and mobile computing
Indoor localization
Unsupervised localization
AirTags
Mobile computing
Personal Trackers
Digital Communications and Networking
Ibrahim, Mohamed
Centimeter Level Location Tracking System Using Commercial-off-the-Shelf Devices
title Centimeter Level Location Tracking System Using Commercial-off-the-Shelf Devices
title_full Centimeter Level Location Tracking System Using Commercial-off-the-Shelf Devices
title_fullStr Centimeter Level Location Tracking System Using Commercial-off-the-Shelf Devices
title_full_unstemmed Centimeter Level Location Tracking System Using Commercial-off-the-Shelf Devices
title_short Centimeter Level Location Tracking System Using Commercial-off-the-Shelf Devices
title_sort centimeter level location tracking system using commercial off the shelf devices
topic Location based services
Human-centered computing
Ubiquitous and mobile computing
Indoor localization
Unsupervised localization
AirTags
Mobile computing
Personal Trackers
Digital Communications and Networking
url https://fount.aucegypt.edu/etds/2627
https://fount.aucegypt.edu/context/etds/article/3684/viewcontent/mohamed_ibrahim_hany_salem_ibrahim_thesis.pdf
work_keys_str_mv AT ibrahimmohamed centimeterlevellocationtrackingsystemusingcommercialofftheshelfdevices