Data-Efficient Artificial Neural Networks with Gaussian Process Regression for 3D Visible Light Positioning
Paper i proceeding, 2021

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. (C) 2021 The Author(s)

Författare

Weikang Zeng

South China Normal University

Huayang Chen

South China Normal University

Jiajia Chen

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Xuezhi Hong

South China Normal University

2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)

Tu5E.7

Ämneskategorier

Bioinformatik (beräkningsbiologi)

Signalbehandling

Datorseende och robotik (autonoma system)

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Senast uppdaterat

2021-11-04