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author:

Zou, Han (Zou, Han.) [1] | Chen, Zhenghua (Chen, Zhenghua.) [2] | Jiang, Hao (Jiang, Hao.) [3] (Scholars:江灏) | Xie, Lihua (Xie, Lihua.) [4] | Spanos, Costas (Spanos, Costas.) [5]

Indexed by:

CPCI-S

Abstract:

In this paper, we propose a robust and accurate indoor localization and tracking system using smartphone built-in inertial measurement unit (IMU) sensors, WiFi received signal strength measurements and opportunistic iBeacon corrections based on particle filter. We utilize Pedestrian Dead Reckoning (PDR) approach which leverages smartphone equipped accelerometers, gyroscope and magnetometer to estimate the walking distance and direction of user. The position estimated by WiFi fingerprinting based approach is fused with PDR to reduce its drifting error. Since the number of WiFi routers is usually limited for localization in large-scale indoor environment, we employ the emerging iBeacon technology to occasionally correct the drifting error of PDR in poor WiFi coverage area. Extensive experiments have been conducted and verified the superiority of the proposed system in terms of localization accuracy and robustness.

Keyword:

iBeacon indoor localization and tracking pedestrian dead reckoning Smartphone inertial sensor WiFi fingerprinting

Community:

  • [ 1 ] [Zou, Han]Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
  • [ 2 ] [Spanos, Costas]Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
  • [ 3 ] [Chen, Zhenghua]Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
  • [ 4 ] [Xie, Lihua]Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
  • [ 5 ] [Jiang, Hao]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou, Peoples R China

Reprint 's Address:

  • [Zou, Han]Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA

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Source :

2017 4TH IEEE INTERNATIONAL SYMPOSIUM ON INERTIAL SENSORS AND SYSTEMS (INERTIAL)

ISSN: 2377-3464

Year: 2017

Page: 90-93

Language: English

Cited Count:

WoS CC Cited Count: 120

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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