A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method
In recent years, a visible light positioning (VLP) technology based on complementary metal-oxide-semiconductor sensors has been widely studied due to its high precision and high robustness. However, the existing VLP algorithm based on image sensors often fails to achieve a good positioning effect wh...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8532113/ |
| _version_ | 1819120536080351232 |
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| author | Tao Yuan Yiqin Xu Yong Wang Peng Han Junfang Chen |
| author_facet | Tao Yuan Yiqin Xu Yong Wang Peng Han Junfang Chen |
| author_sort | Tao Yuan |
| collection | DOAJ |
| description | In recent years, a visible light positioning (VLP) technology based on complementary metal-oxide-semiconductor sensors has been widely studied due to its high precision and high robustness. However, the existing VLP algorithm based on image sensors often fails to achieve a good positioning effect when the camera is tilted. In order to solve this problem, we propose a neural network algorithm to correct the error caused by the tilt angle of the camera. Because when the tilt angle is different, the LED image captured by the camera will be different and produce different characteristics. By extracting these features and using neural networks to establish the relationship between the characteristics of the LED image and the distance between the receiving and sending terminal, we finally achieve the positioning of the camera by the triangulation algorithm. Experiments demonstrate that our positioning algorithm can achieve high-precision positioning and can be applied to most indoor positioning systems. |
| first_indexed | 2024-12-22T06:22:13Z |
| format | Article |
| id | doaj.art-ceb4f27e3c034f88bf3b344cf73de78d |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-12-22T06:22:13Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-ceb4f27e3c034f88bf3b344cf73de78d2022-12-21T18:35:55ZengIEEEIEEE Photonics Journal1943-06552018-01-0110611210.1109/JPHOT.2018.28808728532113A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning MethodTao Yuan0Yiqin Xu1Yong Wang2Peng Han3https://orcid.org/0000-0002-5092-8371Junfang Chen4https://orcid.org/0000-0003-0778-9385South China Normal University, Guangzhou, ChinaSouth China Normal University, Guangzhou, ChinaSouth China Normal University, Guangzhou, ChinaSouth China Normal University, Guangzhou, ChinaSouth China Normal University, Guangzhou, ChinaIn recent years, a visible light positioning (VLP) technology based on complementary metal-oxide-semiconductor sensors has been widely studied due to its high precision and high robustness. However, the existing VLP algorithm based on image sensors often fails to achieve a good positioning effect when the camera is tilted. In order to solve this problem, we propose a neural network algorithm to correct the error caused by the tilt angle of the camera. Because when the tilt angle is different, the LED image captured by the camera will be different and produce different characteristics. By extracting these features and using neural networks to establish the relationship between the characteristics of the LED image and the distance between the receiving and sending terminal, we finally achieve the positioning of the camera by the triangulation algorithm. Experiments demonstrate that our positioning algorithm can achieve high-precision positioning and can be applied to most indoor positioning systems.https://ieeexplore.ieee.org/document/8532113/Neural network algorithmtilt anglevisible light positioning |
| spellingShingle | Tao Yuan Yiqin Xu Yong Wang Peng Han Junfang Chen A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method IEEE Photonics Journal Neural network algorithm tilt angle visible light positioning |
| title | A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method |
| title_full | A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method |
| title_fullStr | A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method |
| title_full_unstemmed | A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method |
| title_short | A Tilt Receiver Correction Method for Visible Light Positioning Using Machine Learning Method |
| title_sort | tilt receiver correction method for visible light positioning using machine learning method |
| topic | Neural network algorithm tilt angle visible light positioning |
| url | https://ieeexplore.ieee.org/document/8532113/ |
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