Indoor imaging visible light positioning with sampled sparse light source and mobile device

Heqing Huang; Lihui Feng; Guoqiang Ni; Aiying Yang

doi:doi:10.3788/COL201614.090602

Chinese Optics Letters, 2016, 14 (9): 090602, Published Online: Aug. 3, 2018

Indoor imaging visible light positioning with sampled sparse light source and mobile device Download： 1018次

Heqing Huang ^1,2Lihui Feng ^1,*Guoqiang Ni ^1,2Aiying Yang ¹

Author Affiliations

¹ School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China

² Key Laboratory of Photo-electronic Imaging Technology and System, Ministry of Education of China, Beijing 100081, China

Figures & Tables

Fig. 1. Typical scenario of indoor imaging positioning.

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Fig. 2. (a) Positioning cellular and principle, (b) azimuth, roll, and pitch angle of mobile device.

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Fig. 6. (a) Captured image at (0.8, 0.2, 0.2), (b) corresponding restructured image at (0.8, 0.2, 0.2).

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Fig. 7. (a) 2D positioning errors with azimuth, roll, and pitch angles equal to 0°, (b) 3D positioning errors with azimuth, roll, and pitch angles equal to 0°.

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Fig. 8. CDFs of positioning errors with (a) azimuth, roll and pitch angles equal 0°, (b) azimuth angle equals 270°, roll and pitch angles equal 0°.

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Fig. 9. (a) 2D positioning errors with azimuth angle equal to 270°, roll, and pitch angles equal to 0°, (b) 3D positioning errors with azimuth angle equal to 270°, and roll and pitch angles equal to 0°.

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Fig. 10. (a) 2D positioning errors with azimuth angle equal to 270°, and roll and pitch angle equal to 5°, (b) 3D positioning errors with azimuth angle equal to 270°, and roll and pitch angles equal to 5°.

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Fig. 11. CDFs of positioning errors with azimuth angle equal to 270°, roll, and pitch angles equal to 5°.

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Table1. Key Parameters of Positioning System.

Parameters	Value
Space coordinate of lamp (m)	(0.35, 0.35, 1.8)
Diameter of lamp (mm)	84
Light output power of lamp (W)	5
Injection current of lamp (A)	0.5
Focal length of receiver (mm)	2.1
Pixel number of image sensor	$1280 \times 960$
Pixel size of image sensor (μm)	$1.9 \times 1.9$
FOV of receiver (deg.)	60.3
Aperture of receiver	2.4
Cellular size (m)	$0.7 \times 0.7 \times 1.8$

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Heqing Huang, Lihui Feng, Guoqiang Ni, Aiying Yang. Indoor imaging visible light positioning with sampled sparse light source and mobile device[J]. Chinese Optics Letters, 2016, 14(9): 090602.

Indoor imaging visible light positioning with sampled sparse light source and mobile device Download： 1018次

Fig. 1. Typical scenario of indoor imaging positioning.

Fig. 2. (a) Positioning cellular and principle, (b) azimuth, roll, and pitch angle of mobile device.

Fig. 3. Flow chart of the imaging positioning algorithm.

Fig. 4. Block diagram of the imaging positioning system.

Fig. 5. Scenario of the imaging positioning cellular.

Fig. 6. (a) Captured image at (0.8, 0.2, 0.2), (b) corresponding restructured image at (0.8, 0.2, 0.2).

Fig. 7. (a) 2D positioning errors with azimuth, roll, and pitch angles equal to 0°, (b) 3D positioning errors with azimuth, roll, and pitch angles equal to 0°.

Fig. 8. CDFs of positioning errors with (a) azimuth, roll and pitch angles equal 0°, (b) azimuth angle equals 270°, roll and pitch angles equal 0°.

Fig. 9. (a) 2D positioning errors with azimuth angle equal to 270°, roll, and pitch angles equal to 0°, (b) 3D positioning errors with azimuth angle equal to 270°, and roll and pitch angles equal to 0°.

Fig. 10. (a) 2D positioning errors with azimuth angle equal to 270°, and roll and pitch angle equal to 5°, (b) 3D positioning errors with azimuth angle equal to 270°, and roll and pitch angles equal to 5°.

Fig. 11. CDFs of positioning errors with azimuth angle equal to 270°, roll, and pitch angles equal to 5°.

Table1. Key Parameters of Positioning System.

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Indoor imaging visible light positioning with sampled sparse light source and mobile device Download： 1018次

Fig. 1. Typical scenario of indoor imaging positioning.

Fig. 2. (a) Positioning cellular and principle, (b) azimuth, roll, and pitch angle of mobile device.

Fig. 3. Flow chart of the imaging positioning algorithm.

Fig. 4. Block diagram of the imaging positioning system.

Fig. 5. Scenario of the imaging positioning cellular.

Fig. 6. (a) Captured image at (0.8, 0.2, 0.2), (b) corresponding restructured image at (0.8, 0.2, 0.2).

Fig. 7. (a) 2D positioning errors with azimuth, roll, and pitch angles equal to 0°, (b) 3D positioning errors with azimuth, roll, and pitch angles equal to 0°.

Fig. 8. CDFs of positioning errors with (a) azimuth, roll and pitch angles equal 0°, (b) azimuth angle equals 270°, roll and pitch angles equal 0°.

Fig. 9. (a) 2D positioning errors with azimuth angle equal to 270°, roll, and pitch angles equal to 0°, (b) 3D positioning errors with azimuth angle equal to 270°, and roll and pitch angles equal to 0°.

Fig. 10. (a) 2D positioning errors with azimuth angle equal to 270°, and roll and pitch angle equal to 5°, (b) 3D positioning errors with azimuth angle equal to 270°, and roll and pitch angles equal to 5°.

Fig. 11. CDFs of positioning errors with azimuth angle equal to 270°, roll, and pitch angles equal to 5°.

Table1. Key Parameters of Positioning System.

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