Optical Communication Technology, Volume. 48, Issue 2, 42(2024)
Visible light indoor positioning perception model and light source layout based on convolutional neural network visual imaging
References(6)
[2] [2] TORRES J C, MONTES A, MENDOZA S L, et al. A low-cost visible light positioning system for indoor positioning [J]. Sensors, 2020, 20(18):5145-1-5145-14.
[3] [3] SHI C, NIU X, LI T, et al. Exploring fast fingerprint construction algorithm for unmodulated visible light indoor localization[J]. Sensors, 2020, 20(24):7245-1-7245-17.
[4] [4] CHE P, FENG L F. Research on two-point light source positioning technology based on indoor visible light [J]. Optical Technology, 2018, 44(3):257-262.
[5] [5] MOUSA F I K, LE-MINH H, GHASSEMLOOY Z, et al. Indoor localization system utilizing two visible light emitting diodes [J]. Optical Engineering, 2016, 55(11): 116114-116114.
[7] [7] THECKEDATH D, SEDAMKAR R R. Detecting affect states using VGG16, ResNet50 and SE-ResNet50 networks [J]. SN Computer Science,2020, 1:1-7.
[11] [11] ZHANG M, LI F, GUAN W, et al. A three-dimensional indoor posi-tioning technique based on visible light communication using chaotic particle swarm optimization algorithm[J]. Optik, 2018, 165: 54-73.
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LI Shuai, ZHANG Feng, MENG Xiangyan, LIU Yenan, ZHANG Xin. Visible light indoor positioning perception model and light source layout based on convolutional neural network visual imaging[J]. Optical Communication Technology, 2024, 48(2): 42
Paper Information
Received: Mar. 23, 2023
Accepted: --
Published Online: Aug. 1, 2024
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