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

Author

Weikang Zeng

South China Normal University

Huayang Chen

South China Normal University

Jiajia Chen

South China Normal University

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

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,

Subject Categories

Bioinformatics (Computational Biology)

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

More information

Latest update

8/24/2021