Publication Type
Conference Paper
Version
submittedVersion
Publication Date
4-2014
Abstract
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.
Discipline
Databases and Information Systems | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
IEEE ISSNIP 2014, Singapore, 2014 April 21-24
Identifier
10.1109/ISSNIP.2014.6827640
Publisher
Wiley: 12 months
City or Country
Singapore
Citation
ZHANG, Xiuming; JIN, Yunye; TAN, Hwee Xian; and SOH, Wee-Seng.
CIMLoc: A Crowdsourcing Indoor Digital Map Construction System for Localization. (2014). IEEE ISSNIP 2014, Singapore, 2014 April 21-24.
Available at: https://ink.library.smu.edu.sg/sis_research/4234
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ISSNIP.2014.6827640