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Opt Express. 2019 May 27;27(11):16377-16383. doi: 10.1364/OE.27.016377.

Visible light communication and positioning using positioning cells and machine learning algorithms.

Abstract

We propose and experimentally demonstrate a practical visible light position (VLP) system using repeated unit cells and machine learning (ML) algorithms. ML is employed to increase the positioning accuracy. Algorithms of the 2nd-order regression ML model and the polynomial trilateral ML model are discussed. More than 80% of the measurement data have position error within 4 cm when using the 2nd-order regression ML model, while the position error is within 5 cm when using the polynomial trilateral ML model.

PMID:
31163815
DOI:
10.1364/OE.27.016377

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