3-D Indoor Visible Light Positioning (VLP) System based on Linear Regression or Kernel Ridge Regression Algorithms

Lin, Dong-Chang; Wu, Yu-Chun; Hong, Chong-You; Song, Shao-Hua; Lin, Yun-Shen; Liu, Yang; Yeh, Chien‐Hung; Chow, Chi‐Wai

doi:10.1109/gcwkshps50303.2020.9367514

Cited by 6 publications

(2 citation statements)

References 33 publications

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“…In [435], the authors propose to use the previous height estimate as input to a 2D multilateration and height adjustment engine, while various machine learning approaches have also been published [402], [429], [430]. Various VLP-specific oneshot localization algorithms with different complexity/latency and accuracy will be discussed later in Section V-E.…”

Section: B Localisation Algorithmsmentioning

confidence: 99%

Visible Light Positioning as a Next-Generation Indoor Positioning Technology: A Tutorial

Bastiaens,

Alijani,

Joseph

et al. 2024

IEEE Commun. Surv. Tutorials

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Indoor positioning technology has become undisputedly pervasive in modern society. It can be used for numerous applications in various environments, ranging from agriculture to smart industry. Among the different indoor positioning technologies, the development of the indoor visible light positioning (VLP) system has gained momentum recently thanks to its low cost and centimetre-order accuracy. Moreover, VLP is a promising candidate technology for integration with Light Fidelity (Li-Fi), which relies on the optical spectrum to build future wireless networks and plays a significant role in sixth-generation (6G) wireless networks. This tutorial investigates VLP as a novel positioning technology in depth. The inherent characteristics and fundamentals of this technology are extensively described with the components of a VLP system and possible localization approaches being discussed. Furthermore, a mathematical and technical discussion of a simple minimum retrofit of the single photodiode (PD) received signal strength (RSS) VLP systems is provided. Finally, the paper concludes with open challenges and a future roadmap for VLP.

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Section: B Localisation Algorithmsmentioning

confidence: 99%

Visible Light Positioning as a Next-Generation Indoor Positioning Technology: A Tutorial

Bastiaens,

Alijani,

Joseph

et al. 2024

IEEE Commun. Surv. Tutorials

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“…Visible light positioning (VLP) is believed as a promising positioning solution because of the advantages of low cost and high accuracy [2] . A 3-D indoor VLP system based on the received signal strength technique is proposed to reduce the average horizontal error to < 2 cm [3] .…”

Section: Real-time Beam Alignment Visible Light Communicationmentioning

confidence: 99%

Internet of light: Technologies and applications

Song

Wang

Yang

et al. 2022

Intell. and Converged Netw.

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Intelligent lighting has attracted lots of research interests to investigate all the possible schemes to support this need as human has spent more and more time indoor. Semiconductor-based illumination network is an ideal bearer to carry on this mission. In this paper, we propose the concept of Internet of Light (IoL) and define its key functionalities by introducing the information and communication technologies to the illumination networks. Our latest research progress on high-speed transmission, resource optimization, and light stroboscopic irradiation experiment based on IoL platform show that IoL can not only provide value-added services such as positioning and information transmission but also act like a sensor network as part of Internet of Things infrastructure. It confirms that with sensors for different purposes integrated into the lamp, IoL helps people be aware of the environmental changes and make the adjustment accordingly, can provide cost-effective information service for Internet of Things applications, and supports the non-intrusive optical therapy in the future.

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