Indoor visible light positioning for a single partially visible LED

With the IEEE 802.11bb standard being adopted to incorporate light communication, research interest in visible light positioning (VLP) has increased. While several VLP techniques have seen success using complementary metal oxide semiconductor (CMOS) sensors for a single LED, in most cases the field...

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Main Authors: Narasimman, Srivathsan Chakaravarthi, Alphones, Arokiaswami
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/176579
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1765792024-05-17T15:41:24Z Indoor visible light positioning for a single partially visible LED Narasimman, Srivathsan Chakaravarthi Alphones, Arokiaswami School of Electrical and Electronic Engineering Engineering Sensor applications Camera Computer vision Indoor localization Occlusion Single partially visible LED Visible light positioning Light emitting diodes Receivers Sensors With the IEEE 802.11bb standard being adopted to incorporate light communication, research interest in visible light positioning (VLP) has increased. While several VLP techniques have seen success using complementary metal oxide semiconductor (CMOS) sensors for a single LED, in most cases the field of view (FoV) of a front camera on a smartphone is much smaller than the rear camera and lights are placed sparsely in offices since their primary objective is illumination. Hence, during indoor navigation the front camera is bound to encounter far more partial images of the light than complete images. The proposed technique seeks to solve this problem by performing positioning on images where only two corners of a square light are in the FoV. While most offices have square or rectangular panel lights, we have chosen to use square lights owing to the added difficulty in positioning arising from all sides being equal in length. We detect the corners of the light from an image and order them based on inertial measurement unit (IMU) readings from smartphones to perform structure-based positioning. The proposed technique achieved 2.27cm average 3D positioning error on a partial light image dataset captured at two different heights. Agency for Science, Technology and Research (A*STAR) Submitted/Accepted version This work was supported in part by the RIE2020 Industry Alignment Fund-Industry Collaboration Projects Funding Initiative through the Agency for Science, Technology, and Research (A*STAR) under Grant I1801E0020 and in part by Surbana Jurong Pte, Ltd. 2024-05-16T08:19:56Z 2024-05-16T08:19:56Z 2024 Journal Article Narasimman, S. C. & Alphones, A. (2024). Indoor visible light positioning for a single partially visible LED. IEEE Sensors Letters, 8(5), 6004504-. https://dx.doi.org/10.1109/LSENS.2024.3385543 2475-1472 https://hdl.handle.net/10356/176579 10.1109/LSENS.2024.3385543 2-s2.0-85190172290 5 8 6004504 en I1801E0020 IEEE Sensors Letters © 2024 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/LSENS.2024.3385543. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Sensor applications
Camera
Computer vision
Indoor localization
Occlusion
Single partially visible LED
Visible light positioning
Light emitting diodes
Receivers
Sensors
spellingShingle Engineering
Sensor applications
Camera
Computer vision
Indoor localization
Occlusion
Single partially visible LED
Visible light positioning
Light emitting diodes
Receivers
Sensors
Narasimman, Srivathsan Chakaravarthi
Alphones, Arokiaswami
Indoor visible light positioning for a single partially visible LED
description With the IEEE 802.11bb standard being adopted to incorporate light communication, research interest in visible light positioning (VLP) has increased. While several VLP techniques have seen success using complementary metal oxide semiconductor (CMOS) sensors for a single LED, in most cases the field of view (FoV) of a front camera on a smartphone is much smaller than the rear camera and lights are placed sparsely in offices since their primary objective is illumination. Hence, during indoor navigation the front camera is bound to encounter far more partial images of the light than complete images. The proposed technique seeks to solve this problem by performing positioning on images where only two corners of a square light are in the FoV. While most offices have square or rectangular panel lights, we have chosen to use square lights owing to the added difficulty in positioning arising from all sides being equal in length. We detect the corners of the light from an image and order them based on inertial measurement unit (IMU) readings from smartphones to perform structure-based positioning. The proposed technique achieved 2.27cm average 3D positioning error on a partial light image dataset captured at two different heights.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Narasimman, Srivathsan Chakaravarthi
Alphones, Arokiaswami
format Article
author Narasimman, Srivathsan Chakaravarthi
Alphones, Arokiaswami
author_sort Narasimman, Srivathsan Chakaravarthi
title Indoor visible light positioning for a single partially visible LED
title_short Indoor visible light positioning for a single partially visible LED
title_full Indoor visible light positioning for a single partially visible LED
title_fullStr Indoor visible light positioning for a single partially visible LED
title_full_unstemmed Indoor visible light positioning for a single partially visible LED
title_sort indoor visible light positioning for a single partially visible led
publishDate 2024
url https://hdl.handle.net/10356/176579
_version_ 1806059901718364160