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

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

South China Normal University

Xuezhi Hong

South China Normal University

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

9489805
9781943580866 (ISBN)

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

Ämneskategorier

Bioinformatik (beräkningsbiologi)

Signalbehandling

Datorseende och robotik (autonoma system)

Mer information

Senast uppdaterat

2022-08-12