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A VLP Approach Based on a Single LED Lamp

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Machine Learning and Intelligent Communications (MLICOM 2019)

Abstract

Visible light positioning (VLP) has become a promising indoor localization approach as it can provide sub-meter localization. VLP usually requires no less than three LED lamps for angle-of-arrival (AoA) or received-signal-strength (RSS) based localization. However, it is hard to identify multiple LED lamps in some indoor environments, such as a long corridor or tunnel, which makes existing VLP useless. To address this problem, we propose a VLP approach using only a single LED lamp. In this approach, we utilize the inertial measurements to infer rotation angles and exploit visual projection geometry to calibrate rotation angles. The experiment results demonstrate the proposed VLP approach can achieve sub-meter positioning accuracy by using only one LED lamp.

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Acknowledgments

This work was supported by the Natural Science Foundation of Jiangsu Province under Grant BK20160807, BK20160812, BK20170805, National Natural Science Foundation of China under Grant 61602242, 61701230, 61572253, China Postdoctoral Science Foundation Funded Project (Project No. 2017M611805, 2017M611806), Jiangsu Planned Projects for Postdoctoral Research Funds (Project No. 1701138B, 1701137A).

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Correspondence to Jing Chen .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, J., Hao, J., Wang, R., Shen, A., Yu, Z. (2019). A VLP Approach Based on a Single LED Lamp. In: Zhai, X., Chen, B., Zhu, K. (eds) Machine Learning and Intelligent Communications. MLICOM 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-32388-2_26

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  • DOI: https://doi.org/10.1007/978-3-030-32388-2_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32387-5

  • Online ISBN: 978-3-030-32388-2

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