Acta Optica Sinica, Volume. 45, Issue 10, 1010001(2025)

Indoor Positioning System Based on Matrix Factorization and Deep Neural Networks

Yiyi Xu1, Lifang Feng1、*, and Zhuo Xue2
Author Affiliations
  • 1School of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing 100083, China
  • 2Synergy Group Holdings International Limited, Ordos 017000, Inner Mongolia , China
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    References(12)

    [1] Wang Q, Meng X Y, Zhao L. RBF neural network indoor visible light positioning algorithm based on multi-source information fusion[J]. Optical Communication Technology, 48, 30-35(2024).

    [4] Su C X, Zhang Y Y, Li D et al. Indoor visible light positioning method based on spatial optimization[J]. Acta Optica Sinica, 44, 1306006(2024).

    [6] Chen J. Research and application on visible light indoor positioning method based on convolutional neural network[D](2024).

    [7] Ru G, Qin L, Wang F Y et al. Visible light positioning system based on photodiode array sensor[J]. Acta Optica Sinica, 44, 2106005(2024).

    [8] Zhang T Y, Xu Y Y, Feng L F et al. Research on indoor visual positioning system based on QR code[J]. Acta Optica Sinica, 44, 0915001(2024).

    [10] Pan L M. Research on key technologies of visual localization based on infrared camera[D](2023).

    [11] Chen D. Research on bluetooth indoor positioning algorithm based on neural network[D](2024).

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    Yiyi Xu, Lifang Feng, Zhuo Xue. Indoor Positioning System Based on Matrix Factorization and Deep Neural Networks[J]. Acta Optica Sinica, 2025, 45(10): 1010001

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    Paper Information

    Category: Image Processing

    Received: Feb. 16, 2025

    Accepted: Mar. 19, 2025

    Published Online: May. 19, 2025

    The Author Email: Lifang Feng (lffeng@ustb.edu.cn)

    DOI:10.3788/AOS250604

    CSTR:32393.14.AOS250604

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