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Crowd-Sourced Mobility Mapping for Location Tracking Using Unlabeled Wi-Fi Simultaneous Localization and Mapping
Joint Authors
Tian, Zengshan
Xu, Kunjie
Shi, Ruikang
Zhou, Mu
Wu, Haibo
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-27
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Telecommunications Engineering
Abstract EN
Due to the increasing requirements of the seamless and round-the-clock Location-based services (LBSs), a growing interest in Wi-Fi network aided location tracking is witnessed in the past decade.
One of the significant problems of the conventional Wi-Fi location tracking approaches based on received signal strength (RSS) fingerprinting is the time-consuming and labor intensive work involved in location fingerprint calibration.
To solve this problem, a novel unlabeled Wi-Fi simultaneous localization and mapping (SLAM) approach is developed to avoid the location fingerprinting and additional inertial or vision sensors.
In this approach, an unlabeled mobility map of the coverage area is first constructed by using the crowd-sourcing from a batch of sporadically recorded Wi-Fi RSS sequences based on the spectral cluster assembling.
Then, the sequence alignment algorithm is applied to conduct location tracking and mobility map updating.
Finally, the effectiveness of this approach is verified by the extensive experiments carried out in a campus-wide area.
American Psychological Association (APA)
Zhou, Mu& Xu, Kunjie& Tian, Zengshan& Wu, Haibo& Shi, Ruikang. 2015. Crowd-Sourced Mobility Mapping for Location Tracking Using Unlabeled Wi-Fi Simultaneous Localization and Mapping. Mobile Information Systems،Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1072740
Modern Language Association (MLA)
Zhou, Mu…[et al.]. Crowd-Sourced Mobility Mapping for Location Tracking Using Unlabeled Wi-Fi Simultaneous Localization and Mapping. Mobile Information Systems No. 2015 (2015), pp.1-14.
https://search.emarefa.net/detail/BIM-1072740
American Medical Association (AMA)
Zhou, Mu& Xu, Kunjie& Tian, Zengshan& Wu, Haibo& Shi, Ruikang. Crowd-Sourced Mobility Mapping for Location Tracking Using Unlabeled Wi-Fi Simultaneous Localization and Mapping. Mobile Information Systems. 2015. Vol. 2015, no. 2015, pp.1-14.
https://search.emarefa.net/detail/BIM-1072740
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072740