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Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning
In this work, the use of Machine Learning methods for robust Received Signal Strength (RSS)-based Visible Light Positioning (VLP) is experimentally evaluated. The performance of Multilayer Perceptron (MLP) models and Gaussian processes (GP) is investigated when using relative RSS input features. The...
Uloženo v:
| Vydáno v: | Sensors (Basel) |
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| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI
2020
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7663557/ https://ncbi.nlm.nih.gov/pubmed/33121055 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20216109 |
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