A VLC Smartphone Camera based Indoor Positioning System

Yiwei Li, Zabih Ghassemlooy, Xuan Tang, Bangjiang Lin, Yi Zhang

    Research output: Contribution to journalArticlepeer-review

    125 Citations (Scopus)
    188 Downloads (Pure)

    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 n 3D -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
    JournalIEEE Photonics Technology Letters
    Volume30
    Issue number13
    Early online date10 May 2018
    DOIs
    Publication statusPublished - 1 Jul 2018

    Keywords

    • Indoor positioning systems

    Fingerprint

    Dive into the research topics of 'A VLC Smartphone Camera based Indoor Positioning System'. Together they form a unique fingerprint.

    Cite this