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  1. 研究報告
  2. モバイルコンピューティングと新社会システム(MBL)
  3. 2023
  4. 2023-MBL-107

MetaLoc: A Global Indoor Localization System for Seamless Navigation Across Buildings and Configurations

https://ipsj.ixsq.nii.ac.jp/records/225832
https://ipsj.ixsq.nii.ac.jp/records/225832
e7f1facf-d3c7-48a7-a1de-97aac99f2bd9
名前 / ファイル ライセンス アクション
IPSJ-MBL23107017.pdf IPSJ-MBL23107017.pdf (3.5 MB)
Copyright (c) 2023 by the Information Processing Society of Japan
オープンアクセス
Item type SIG Technical Reports(1)
公開日 2023-05-11
タイトル
タイトル MetaLoc: A Global Indoor Localization System for Seamless Navigation Across Buildings and Configurations
タイトル
言語 en
タイトル MetaLoc: A Global Indoor Localization System for Seamless Navigation Across Buildings and Configurations
言語
言語 eng
キーワード
主題Scheme Other
主題 位置推定
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_18gh
資源タイプ technical report
著者所属
Graduate School of Information Science and Technology, Osaka University
著者所属
Graduate School of Information Science and Technology, Osaka University
著者所属(英)
en
Graduate School of Information Science and Technology, Osaka University
著者所属(英)
en
Graduate School of Information Science and Technology, Osaka University
著者名 Hamada, Rizk

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Hamada, Rizk

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Hirozumi, Yamaguchi

× Hirozumi, Yamaguchi

Hirozumi, Yamaguchi

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著者名(英) Hamada, Rizk

× Hamada, Rizk

en Hamada, Rizk

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Hirozumi, Yamaguchi

× Hirozumi, Yamaguchi

en Hirozumi, Yamaguchi

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論文抄録
内容記述タイプ Other
内容記述 In recent years, WiFi localization systems have become increasingly popular owing to the ubiquity of WiFi-enabled devices. However, traditional WiFi networks were not originally designed for localization purposes, and changes to the Access Point (AP) locations can result in a significant drop in localization performance. Moreover, these systems suffer from the inability to generalize models trained in one building to other buildings, owing to dependencies on building characteristics and their WiFi configurations. To address this challenge, we propose MetaLoc: the first global indoor positioning system that can function in any environment in a plug-and-play manner without requiring recalibration. Towards this end, we introduce a novel concept called the ”Meta Environment,” in which users are tracked in a virtual environment rather than the physical environment. This enables the localization model trained on one environment to function in another, regardless of changes occurring in the network environment, as they share the same meta environment. Our experiments demonstrate that MetaLoc outperforms existing state-of-the-art systems by at least 35%. This superior accuracy is due to its robustness to changes in the WiFi environment and its adaptability to different building configurations.
論文抄録(英)
内容記述タイプ Other
内容記述 In recent years, WiFi localization systems have become increasingly popular owing to the ubiquity of WiFi-enabled devices. However, traditional WiFi networks were not originally designed for localization purposes, and changes to the Access Point (AP) locations can result in a significant drop in localization performance. Moreover, these systems suffer from the inability to generalize models trained in one building to other buildings, owing to dependencies on building characteristics and their WiFi configurations. To address this challenge, we propose MetaLoc: the first global indoor positioning system that can function in any environment in a plug-and-play manner without requiring recalibration. Towards this end, we introduce a novel concept called the ”Meta Environment,” in which users are tracked in a virtual environment rather than the physical environment. This enables the localization model trained on one environment to function in another, regardless of changes occurring in the network environment, as they share the same meta environment. Our experiments demonstrate that MetaLoc outperforms existing state-of-the-art systems by at least 35%. This superior accuracy is due to its robustness to changes in the WiFi environment and its adaptability to different building configurations.
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA11851388
書誌情報 研究報告モバイルコンピューティングと新社会システム(MBL)

巻 2023-MBL-107, 号 17, p. 1-8, 発行日 2023-05-11
ISSN
収録物識別子タイプ ISSN
収録物識別子 2188-8817
Notice
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc.
出版者
言語 ja
出版者 情報処理学会
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