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A VLC Smartphone Camera Based Indoor Positioning System

  • Yiwei Li*
  • , Zabih Ghassemlooy
  • , Xuan Tang
  • , Bangjiang Lin
  • , Yi Zhang
  • *Corresponding author for this work
  • National Tsing Hua University
  • Northumbria University
  • Huaqiao University
  • Chinese Academy of Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

We present a real-time indoor visible light positioning system based on the optical camera communication, where the coordinate data in the ON-OFF keying format is transmitted via light-emitting diode-based lights and captured using a smartphone camera. The position of the camera is estimated using a novel perspective- n -point problem algorithm, which determines the position of a calibrated camera from n3D-to-2D point correspondences. The experimental results show that the proposed system offers mean position errors of 4.81 and 6.58 cm for the heights of 50 and 80 cm, respectively.

Original languageEnglish
Pages (from-to)1171-1174
Number of pages4
JournalIEEE Photonics Technology Letters
Volume30
Issue number13
DOIs
StatePublished - 1 Jul 2018
Externally publishedYes

Keywords

  • Indoor positioning systems
  • optical camera communication
  • perspective-npoint (PnP) algorithm

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