LED Visible Light Localization Based on Illuminance Analysis
| Autor: | Tianyun Shi, Xiaofeng Liu, Hao Tao, Chao Liu, Chenting Gu, Yongsheng Ou |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry Attenuation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Illuminance Rolling shutter law.invention Positioning technology Indoor positioning system law Robustness (computer science) Computer vision Artificial intelligence Image sensor business Light-emitting diode |
| Zdroj: | RCAR |
| DOI: | 10.1109/rcar49640.2020.9303266 |
| Popis: | LED based positioning technology has recently become a popular choice due to the low cost, convenience for maintenance and strong adaptability to the environment. In this paper, we introduce an illuminance-distance analysis method with a rolling shutter camera, for a low-cost indoor positioning system to improve robustness in the case of insufficient LEDs. Firstly, the binary threshold method is used to decode the light signals. Then the gray value information of image is extracted to analyze the depth of LEDs, using the illuminance attenuation theorem. It provides potential solution to the position of devices with the camera by combining depth information, image and camera intrinsic. Our proposed method reduced the minimum number of LEDs observed by the camera from three to two, using only the camera. We evaluated the proposed method with real scene data and demonstrated the effectiveness of illumination-distance model based localization. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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