High accuracy and error analysis of indoor visible light positioning algorithm based on image sensor

TL;DR

This paper deeply analyzes the principles of indoor visible light positioning algorithms based on image sensors, proposing two optimization methods that significantly improve accuracy, achieving a state-of-the-art error of around 0.82cm.

Contribution

It provides a detailed discussion of the localization principles and introduces two novel methods to enhance positioning accuracy in visible light systems.

Findings

Positioning accuracy up to 1.93cm with optimization

Average error reduced to 0.82cm

Methods outperform existing systems in accuracy

Abstract

In recent years, with the increasing demand for indoor positioning service, visible light indoor positioning based on image sensors has been widely studied. However, many researches only put forward the relevant localization algorithm and did not make a deep discussion on the principle of the visible light localization. In this paper, we make a deep discussion on the principle of the two-light positioning algorithm and the three-light positioning algorithm based on the image sensor, which includes how these positioning algorithms work and the errors analysis. Based on the discussion above, we propose two methods to improve the positioning accuracy, which is rotation method and dispersion circle method respectively. In our experiment, we have numerically and experimentally verified the two optimization methods and we obtained good positioning results. Especially, the positioning accuracy of the dual-lamp positioning algorithm based on dispersion circle optimization is up to 1.93cm, while the average positioning error is only 0.82cm, which is state-of-the-art of the same type of positioning system at present.