Acta Photonica Sinica, Volume. 54, Issue 3, 0306002(2025)
An Indoor Visible Light Localization Method for Fusing Image Information under Multiple Inputs
Figures & Tables(13)
Fig. 5. The change of positioning error of different algorithms with the number of iterations
Fig. 7. Three-dimensional spatial positioning diagram of RSS-BP algorithm
Fig. 8. Three-dimensional spatial positioning diagram of CNN algorithm
Fig. 9. Three-dimensional spatial positioning diagram of MIF-VLP algorithm
Table 1. Experiment parameter configuration
View tableView in ArticleTable 1. Experiment parameter configuration
Parameters Value Number of LED 4 Power of LED/W 3 Length/m，Width/m，Height/m 2，2，1.8 Coordinates of LED/m （0.6，0.7），（0.6，1.0），（1.2，0.7），（1.2，1.0） Receiving height/m 1.72，1.60，1.51 Resolution/pixel 640×480 Receiving area of PD/cm2 1.13 Sampling interval/m 0.1
Table 2. RSS of the same horizontal point at different heights
View tableView in ArticleTable 2. RSS of the same horizontal point at different heights
h=1.51 m h=1.60 m h=1.72 m （x/m，y/m）=（0，0） 9.14 lx 8.32 lx 7.96 lx （x/m，y/m）=（0，1.9） 3.99 lx 3.5 lx 3.85 lx （x/m，y/m）=（2，0） 4.82 lx 4.73 lx 5.1 lx （x/m，y/m）=（2，1.9） 2.41 lx 2.21 lx 2.32 lx
Table 3. Positioning error under different algorithms
View tableView in ArticleTable 3. Positioning error under different algorithms
Average error/m Maximum error/m Minimum error/m RSS-BP 0.040 0.152 0.010 CNN 0.026 0.106 0.002 MIF-VLP 0.005 0.089 5×10-4
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Xinghua TU, Haiyang ZHAO. An Indoor Visible Light Localization Method for Fusing Image Information under Multiple Inputs[J]. Acta Photonica Sinica, 2025, 54(3): 0306002
Paper Information
Category: Fiber Optics and Optical Communications
Received: Aug. 12, 2024
Accepted: Sep. 29, 2024
Published Online: Apr. 22, 2025
The Author Email: Xinghua TU (tuxh@njupt.edu.cn)
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