CIMLoc: A Crowdsourcing Indoor Digital Map Construction System for Localization

Indoor maps, as crucial prerequisites for many indoor localization and navigation systems, are sometimes inaccessible. The absence of an indoor map database and the high cost of manually constructing an indoor map produce a need for an inexpensive and efficient way to dynamically construct indoor ma...

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Main Authors: ZHANG, Xiuming, JIN, Yunye, TAN, Hwee Xian, SOH, Wee-Seng
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Language:English
Published: Institutional Knowledge at Singapore Management University 2014
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Online Access:https://ink.library.smu.edu.sg/sis_research/4234
https://ink.library.smu.edu.sg/context/sis_research/article/5237/viewcontent/2014_issnip_cimloc__1_.pdf
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spelling sg-smu-ink.sis_research-52372019-01-17T06:13:43Z CIMLoc: A Crowdsourcing Indoor Digital Map Construction System for Localization ZHANG, Xiuming JIN, Yunye TAN, Hwee Xian SOH, Wee-Seng Indoor maps, as crucial prerequisites for many indoor localization and navigation systems, are sometimes inaccessible. The absence of an indoor map database and the high cost of manually constructing an indoor map produce a need for an inexpensive and efficient way to dynamically construct indoor maps. The ubiquity of sensor-equipped mobile devices enables us to crowdsource user trajectories, out of which indoor digital maps can be automatically constructed at low costs. Similar to other crowdsourced data, the collected user trajectories are often noisy and of low fidelity, which poses a challenge to the accurate map construction. To alleviate this problem, we propose CIMLoc - a crowdsourcing indoor map construction system for localization. The system is evaluated with real-world trajectories collected from different mobile devices. We quantify the construction errors by computing the localization errors achieved with the constructed map and the real map. Experimental results reveal that CIMLoc is able to construct accurate maps that significantly improve localization results. We believe that CIMLoc provides an effective solution to the indoor localization problems where the indoor maps are unavailable. 2014-04-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4234 info:doi/10.1109/ISSNIP.2014.6827640 https://ink.library.smu.edu.sg/context/sis_research/article/5237/viewcontent/2014_issnip_cimloc__1_.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Databases and Information Systems
Software Engineering
spellingShingle Databases and Information Systems
Software Engineering
ZHANG, Xiuming
JIN, Yunye
TAN, Hwee Xian
SOH, Wee-Seng
CIMLoc: A Crowdsourcing Indoor Digital Map Construction System for Localization
description Indoor maps, as crucial prerequisites for many indoor localization and navigation systems, are sometimes inaccessible. The absence of an indoor map database and the high cost of manually constructing an indoor map produce a need for an inexpensive and efficient way to dynamically construct indoor maps. The ubiquity of sensor-equipped mobile devices enables us to crowdsource user trajectories, out of which indoor digital maps can be automatically constructed at low costs. Similar to other crowdsourced data, the collected user trajectories are often noisy and of low fidelity, which poses a challenge to the accurate map construction. To alleviate this problem, we propose CIMLoc - a crowdsourcing indoor map construction system for localization. The system is evaluated with real-world trajectories collected from different mobile devices. We quantify the construction errors by computing the localization errors achieved with the constructed map and the real map. Experimental results reveal that CIMLoc is able to construct accurate maps that significantly improve localization results. We believe that CIMLoc provides an effective solution to the indoor localization problems where the indoor maps are unavailable.
format text
author ZHANG, Xiuming
JIN, Yunye
TAN, Hwee Xian
SOH, Wee-Seng
author_facet ZHANG, Xiuming
JIN, Yunye
TAN, Hwee Xian
SOH, Wee-Seng
author_sort ZHANG, Xiuming
title CIMLoc: A Crowdsourcing Indoor Digital Map Construction System for Localization
title_short CIMLoc: A Crowdsourcing Indoor Digital Map Construction System for Localization
title_full CIMLoc: A Crowdsourcing Indoor Digital Map Construction System for Localization
title_fullStr CIMLoc: A Crowdsourcing Indoor Digital Map Construction System for Localization
title_full_unstemmed CIMLoc: A Crowdsourcing Indoor Digital Map Construction System for Localization
title_sort cimloc: a crowdsourcing indoor digital map construction system for localization
publisher Institutional Knowledge at Singapore Management University
publishDate 2014
url https://ink.library.smu.edu.sg/sis_research/4234
https://ink.library.smu.edu.sg/context/sis_research/article/5237/viewcontent/2014_issnip_cimloc__1_.pdf
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