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.

Författare

Weikang Zeng

South China Normal University

Huayang Chen

South China Normal University

Jiajia Chen

South China Normal University

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Xuezhi Hong

South China Normal University

2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings

9489805

2021 Optical Fiber Communications Conference and Exhibition, OFC 2021
San Francisco, USA,

Ämneskategorier

Bioinformatik (beräkningsbiologi)

Signalbehandling

Datorseende och robotik (autonoma system)

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Senast uppdaterat

2021-08-24