Experimental Evaluation of Machine Learning Methods for Robust Received Signal Strength-Based Visible Light Positioning

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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Bibliographic Details
Main Authors: Willem Raes, Nicolas Knudde, Jorik De Bruycker, Tom Dhaene, Nobby Stevens
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Sensors
Subjects:
Visible Light Positioning
robust
machine learning
multi layer perceptron
gaussian processes
Online Access:https://www.mdpi.com/1424-8220/20/21/6109

Internet

https://www.mdpi.com/1424-8220/20/21/6109

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