ArticleScientific data2025
A Dataset for Assessing and Optimizing Quadrant Photodiode-based Visible Light Positioning Systems.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- A Dataset for Assessing and Optimizing Quadrant Photodiode-based Visible Light Positioning Systems.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study introduces QUAPOS, a comprehensive simulated dataset for Visible Light Positioning (VLP) systems using quadrant photodiodes as receivers. Encompassing 73 diverse scenarios, QUAPOS features various receiver-transmitter configurations to facilitate the development and evaluation of novel VLP algorithms. Generated using a novel simulation tool, QUAPOS includes both raw and processed data, such as the received energy at every receiver corresponding to every emitter, the estimated positioning coordinates of the emitters (using our own positioning algorithm and considering that the receivers are in known positions), and the ground truth (real position of the emitters). The data files were stored in .csv and .mat format to ensure their usability. The aim of this dataset is to support research in optimizing receiver placement, developing noise-resistant algorithms, and comparing different VLP system configurations. Furthermore, the dataset stores enough data to apply any type of algorithms, including those based on Machine Learning.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.