High accuracy and error analysis of indoor visible light positioning algorithm based on image sensor
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.
Cite
@article{arxiv.1911.11773,
title = {High accuracy and error analysis of indoor visible light positioning algorithm based on image sensor},
author = {Shihuan Chen and Weipeng Guan and Zequn Tan and Shangsheng Wen and Manxi Liu and Jingmin Wang and Jingyi Li},
journal= {arXiv preprint arXiv:1911.11773},
year = {2020}
}
Comments
This paper presents a centimeter-level precise positioning system based on image sensor and visible light LED. In this paper, the principle of dual-light positioning algorithm and three-lamp positioning algorithm based on image sensor is deeply and respectively analyzed. And the error generation in the algorithm is discussed