Carrera Villacrés, José Luis; Li, Zan; Zhao, Zhongliang; Braun, Torsten; Neto, Augusto (November 2016). A Real-time Indoor Tracking System in Smartphones. In: ACM MSWiM'16 (pp. 292-301). ACM 10.1145/2988287.2989142
Full text not available from this repository.The rapid growth area of ubiquitous applications and location-based services has made indoor localization an interesting topic for research. Some indoor localization solutions for smartphones exploit radio information and Inertial Measurement Units (IMUs), which are embedded in most of the modern smartphones. In this work, we propose to fuse WiFi Receiving Signal Strength Indicator (RSSI) readings, IMUs, and floor plan information in an enhanced particle filter to achieve high accuracy and stable performance in the tracking process. We provide an efficient double resampling method to mitigate errors caused by off-the-shelf IMUs and WiFi sensors embedded in commodity smartphones. The algorithms are designed in a terminal-based system, which consists of commercial smartphones and WiFi access points. We evaluate our system in two complex environments along moving paths. Experiment results show that our tracking method can achieve the average tracking error of 1.01 meters and 90% accuracy of 1.7 meters.
Item Type: |
Conference or Workshop Item (Paper) |
|---|---|
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: |
Carrera Villacrés, José Luis, Li, Zan, Zhao, Zhongliang, Braun, Torsten |
Subjects: |
000 Computer science, knowledge & systems 500 Science > 510 Mathematics |
ISBN: |
978-1-4503-4502-6 |
Publisher: |
ACM |
Language: |
English |
Submitter: |
Dimitrios Xenakis |
Date Deposited: |
30 Sep 2016 10:41 |
Last Modified: |
05 Dec 2022 14:59 |
Publisher DOI: |
10.1145/2988287.2989142 |
Related URLs: |
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URI: |
https://boris.unibe.ch/id/eprint/89032 |
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