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...

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Detalles Bibliográficos
Autores principales: Raes, Willem, Knudde, Nicolas, De Bruycker, Jorik, Dhaene, Tom, Stevens, Nobby
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663557/
https://www.ncbi.nlm.nih.gov/pubmed/33121055
http://dx.doi.org/10.3390/s20216109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663557/
https://www.ncbi.nlm.nih.gov/pubmed/33121055
http://dx.doi.org/10.3390/s20216109

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