SoiCP: A Seamless Outdoor-Indoor Crowdsensing Positioning System

Li, Zan; Xiaohui, Zhao; Fengye, Hu; Zhao, Zhongliang; Carrera Villacrés, José Luis; Braun, Torsten (2019). SoiCP: A Seamless Outdoor-Indoor Crowdsensing Positioning System. IEEE internet of things journal, 6(5), pp. 8626-8644. IEEE 10.1109/JIOT.2019.2921561

[img] Text
IEEEIoTJournal2019-FinalVersion.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (1MB)

Seamless outdoor-indoor positioning plays a critical role in many emerging applications, e.g., arge-coverage user navigation in cities, smart buildings and analytics of user spatial location big data. It is still challenging to construct a large-scale seamless outdoor-indoor positioning system due to the limited coverage of indoor positioning. In this work, we propose a Seamless outdoor-indoor Crowdsensing Positioning (SoiCP) system in which a radio map is automatically constructed based on crowdsourcing Pedestrian Dead Reckoning (PDR) traces without professional site surveying. The constructed radio map is robust to inaccurate PDR traces and does not rely on prior knowledge offloor plans. In SoiCP, the crowdsensed radio map is obtained by a proposed three-step trace matching algorithm. This algorithm leverages building gates and WiFi fingerprints as landmarks to merge the noisy crowdsourcing traces and accurately construct the user walking paths. Moreover, following the crowdsensed radio map, SoiCP uses an enhanced particle filter to fuse PDR, GPS and WiFi fingerprinting for seamless outdoor-indoor positioning with high accuracy. The comprehensive real-world experiments in two large-scale shopping malls demonstrate that SoiCP can effectively crowdsense the walking paths and trackmoving users with high accuracy.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Li, Zan, Zhao, Zhongliang, Carrera Villacrés, José Luis, Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

ISSN:

2327-4662

Publisher:

IEEE

Language:

English

Submitter:

Dimitrios Xenakis

Date Deposited:

07 Jun 2019 13:50

Last Modified:

05 Dec 2022 15:28

Publisher DOI:

10.1109/JIOT.2019.2921561

BORIS DOI:

10.7892/boris.131234

URI:

https://boris.unibe.ch/id/eprint/131234

Actions (login required)

Edit item Edit item
Provide Feedback