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

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

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,

Subject Categories

Bioinformatics (Computational Biology)

Signal Processing

Computer Vision and Robotics (Autonomous Systems)

More information

Latest update

8/12/2022