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Data-Efficient Artificial Neural Networks with Gaussian Process Regression for 3D Visible Light Positioning

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Abstract

A data-efficient artificial neural network based 3D VLP system using Gaussian process regression is proposed and experimentally demonstrated. Training data from the real environment can be reduced by >50% with negligible loss in positioning accuracy.

© 2021 The Author(s)

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