A High-Precision Indoor Positioning Scheme Based on Feature Code and Lighting Device

Jinghong Yang, Lihui Feng*, Pinjing He, Wei Chen, Aiying Yang, Jihua Lu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Visible light positioning is one of the schemes based on driving modulation to achieve high accuracy of indoor positioning. However, it has shortcomings in system deployment, maintenance, and scalability, which limits its wide application. We propose a high-precision positioning scheme based on high-transparency feature code and lighting devices. First, a feature-code mask is exploited to replace the driving modulation, which aims to reduce the complexity, improve the scalability, and realize high-precision and real-time positioning. Then, a two-dimensional (2-D) feature code is designed to detect the characteristics, which greatly increases the number of LED IDs and decreases the system complexity. Third, the Levenberg-Marquardt iterative algorithm with the constructed perspective-n-point model is applied to obtain the position of the camera. Experimental results show that the proposed scheme can obtain high-precision and real-time positioning. When the measuring height is 1.6 m, the average root-mean-square error (rmse) is 0.044 m. Moreover, when the height is 1.8 m and 2.0 m, the average RMSEs are 0.054 m and 0.064 m, respectively.

Original languageEnglish
Pages (from-to)6717-6726
Number of pages10
JournalIEEE Systems Journal
Volume16
Issue number4
DOIs
Publication statusPublished - 1 Dec 2022

Keywords

  • Driving modulation
  • Levenberg-Marquardt (LM)
  • feature code
  • perspective-n-point (PnP)
  • visible light positioning

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