Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24–25, 2019, Proceedings

Research Article

A VLP Approach Based on a Single LED Lamp

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  • @INPROCEEDINGS{10.1007/978-3-030-32388-2_26,
        author={Jing Chen and Jie Hao and Ran Wang and Ao Shen and Ze Yu},
        title={A VLP Approach Based on a Single LED Lamp},
        proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings},
        proceedings_a={MLICOM},
        year={2019},
        month={10},
        keywords={Indoor localization Visible light communication Visible light positioning Smartphone camera},
        doi={10.1007/978-3-030-32388-2_26}
    }
    
  • Jing Chen
    Jie Hao
    Ran Wang
    Ao Shen
    Ze Yu
    Year: 2019
    A VLP Approach Based on a Single LED Lamp
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-32388-2_26
Jing Chen1,*, Jie Hao,*, Ran Wang,*, Ao Shen1,*, Ze Yu1,*
  • 1: Nanjing University of Aeronautics and Astronautics
*Contact email: cjcj81@nuaa.edu.cn, haojie@nuaa.edu.cn, wangran@nuaa.edu.cn, 775458998@qq.com, 931624690@qq.com

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.