English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

In recent years, with the increasing demand for indoor positioning service,visible light indoor positioning based on image sensors has been widelystudied. However, many researches only put forward the relevant localizationalgorithm and did not make a deep discussion on the principle of the visiblelight localization. In this paper, we make a deep discussion on the principleof the two-light positioning algorithm and the three-light positioningalgorithm based on the image sensor, which includes how these positioningalgorithms work and the errors analysis. Based on the discussion above, wepropose two methods to improve the positioning accuracy, which is rotationmethod and dispersion circle method respectively. In our experiment, we havenumerically and experimentally verified the two optimization methods and weobtained good positioning results. Especially, the positioning accuracy of thedual-lamp positioning algorithm based on dispersion circle optimization is upto 1.93cm, while the average positioning error is only 0.82cm, which isstate-of-the-art of the same type of positioning system at present.

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