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

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.