Results 1 to 10 of about 13,505 (203)

Communication Aspects of Visible Light Positioning (VLP) Systems Using a Quadrature Angular Diversity Aperture (QADA) Receiver [PDF]

Sensors, 2020
Visible light positioning (VLP) is a promising indoor localization system in which light emitting diode (LED) luminaires are used as positioning beacons.
Mohammed M. A. Mohammed, Cuiwei He, Stefanie Cincotta, Adrian Neild, Jean Armstrong   +4 more
doaj   +6 more sources

Angle-of-Arrival (AOA) Visible Light Positioning (VLP) System Using Solar Cells With Third-Order Regression and Ridge Regression Algorithms [PDF]

IEEE Photonics Journal, 2020
We put forward and demonstrate a angle-of-arrival (AOA) based visible-light-positioning (VLP) system using quadrant-solar-cell (QSC) and third-order ridge regression machine learning (RRML) to improve the positioning accuracy.
Chong-You Hong, Yu-Chun Wu, Yang Liu, Chi-Wai Chow, Chien-Hung Yeh, Ke-Ling Hsu, Dong-Chang Lin, Xin-Lan Liao, Kun-Hsien Lin, Yi-Yuan Chen   +9 more
doaj   +3 more sources

Real-Time Indoor Visible Light Positioning (VLP) Using Long Short Term Memory Neural Network (LSTM-NN) with Principal Component Analysis (PCA). [PDF]

Sensors (Basel)
New applications such as augmented reality/virtual reality (AR/VR), Internet-of-Things (IOT), autonomous mobile robot (AMR) services, etc., require high reliability and high accuracy real-time positioning and tracking of persons and devices in indoor areas. Among the different visible-light-positioning (VLP) schemes, such as proximity, time-of-arrival (
Shu YH, Chang YH, Lin YZ, Chow CW.
europepmc   +5 more sources

Utilizing Lighting Design Software for Simulation and Planning of Machine Learning Based Angle-of-Arrival (AOA) Visible Light Positioning (VLP) Systems

IEEE Photonics Journal, 2022
We propose to utilize a commercially available DIALux lighting design software for simulation and planning of machine learning (ML) based angle-of-arrival (AOA) visible light positioning (VLP) systems. Here, different ML models, for example, second order
Hei Man Chan, Chi-Wai Chow, Li-Sheng Hsu, Yang Liu, Ching-Wei Peng, Yin-He Jian, Chien-Hung Yeh   +6 more
doaj   +3 more sources

Experimental demonstrations of high‐accuracy 3D/2D indoor visible light positioning using imaging multiple‐input multiple‐output receivers and artificial neural networks [PDF]

IET Optoelectronics
This paper proposes and presents the first experimental demonstration of a high‐precision indoor 2D and 3D visible light positioning (VLP) system using an imaging multiple‐input multiple‐output (MIMO) configuration with supervised artificial neural ...
Juan. A. Apolo, Isaac. N. O. Osahon, Beatriz Ortega, Vicenç Almenar, Jianming Tang, Sujan Rajbhandari   +5 more
doaj   +10 more sources

CGA-VLP: High Accuracy Visible Light Positioning Algorithm Using Single Square LED with Geomagnetic Angle Correction

Photonics, 2022
Visible light positioning (VLP), benefiting from its high accuracy and low cost, is a promising technology for indoor location-based services. In this article, the theoretical limits and error sources of traditional camera-based VLP systems are analyzed.
Chen Yang, Shangsheng Wen, Danlan Yuan, Junye Chen, Junlin Huang, Weipeng Guan   +5 more
doaj   +3 more sources

Received-Signal-Strength (RSS) Based 3D Visible-Light-Positioning (VLP) System Using Kernel Ridge Regression Machine Learning Algorithm With Sigmoid Function Data Preprocessing Method [PDF]

IEEE Access, 2020
In this work, we propose and demonstrate a received-signal-strength (RSS) based visible-light-positioning (VLP) system using sigmoid function data preprocessing (SFDP) method; and apply it to two types of regression based machine learning algorithms; including the second-order linear regression machine learning (LRML) algorithm, and the kernel ridge ...
Yu-Chun Wu, Chi-Wai Chow, Yang Liu, Yun-Shen Lin, Chong-You Hong, Dong-Chang Lin, Shao-Hua Song, Chien-Hung Yeh   +7 more
openaire   +3 more sources

Positioning Unit Cell Model Duplication With Residual Concatenation Neural Network (RCNN) and Transfer Learning for Visible Light Positioning (VLP)

Journal of Lightwave Technology, 2021
Machine-learning (ML) can be employed to enhance the positioning accuracy of visible-light-positioning (VLP) system. To diminish the training time and complexity, the whole area is usually divided into several positioning unit cells. Most literatures only focus on the positioning performance within an unit cell, and assume the unit cell can be ...
Dong-Chang Lin, Chi-Wai Chow, Ching-Wei Peng, Tun-Yao Hung, Yun-Han Chang, Shao-Hua Song, Yun-Shen Lin, Yang Liu, Kun-Hsien Lin   +8 more
openaire   +2 more sources

Visible light positioning (VLP) system using low-cost organic photovoltaic cell (OPVC) for low illumination environments

Optics Express, 2020
We propose and demonstrate a received-signal-strength (RSS) based visible light positioning (VLP) system using a low-cost organic photovoltaic cell (OPVC) receiver (Rx). The OPVC is a passive device without the need of external power supply. It could detect VLC signal and harvest energy.
Chong-You Hong, Yu-Chun Wu, Yu-Hsiang Lin, Yang Liu, Chi-Wai Chow, Hsin-Fei Meng, Yi-Ming Chang, Chien-Hung Yeh, Ke-Ling Hsu, Shao-Hua Song   +9 more
openaire   +3 more sources

Leveraging Hybrid RF-VLP for High-Accuracy Indoor Localization with Sparse Anchors [PDF]

Sensors
Indoor low-power positioning systems have received much attention, and visible light positioning (VLP) shows great potential for its high accuracy and low power consumption.
Bangyan Lu, Yongyun Li, Yimao Sun, Yanbing Yang   +3 more
doaj   +2 more sources