Vehicular Visible Light Positioning Using Receiver Diversity with Machine Learning

Vehicular Visible Light Positioning Using Receiver Diversity with Machine Learning

This paper proposes a 2-D vehicular visible light positioning (VLP) system using existing streetlights and diversity receivers. Due to the linear arrangement of streetlights, traditional positioning techniques based on triangulation or similar algorithms fail. Thus, in this work, we propose a spatia...

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Bibliographic Details
Main Authors: Abdulrahman A. Mahmoud, Zahir Ahmad, Uche Onyekpe, Yousef Almadani, Muhammad Ijaz, Olivier C. L. Haas, Sujan Rajbhandari
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Electronics
Subjects:
visible light positioning
outdoor positioning
artificial neural network
receiver diversity
receiver tilting
machine learning
Online Access:https://www.mdpi.com/2079-9292/10/23/3023

Internet

https://www.mdpi.com/2079-9292/10/23/3023

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