Accurate and Low-Cost Indoor Localization System through Active Lighting Control

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In this study, we developed an indoor localization method based on the difference of light intensity in indoor space. To tackle the challenge that indoor space has multiple separate areas with similar light intensity, the proposed method enforces change of light intensity over the target space by switching lighting pattern. Then to reduce the labor for measuring the intensity over the target indoor space, we build a model for calculating the light intensity at each point for each lighting pattern. We devise an algorithm which estimates an area including a value obtained by the light intensity sensor in the light intensity map calculated by the model. By switching lighting patterns one by one, the area is narrowed and the user's position is estimated within a small error. We applied the proposed method to a testbed with four illumination devices, and confirmed that our method estimates the user's position within about 0.4m error by about twice lighting pattern switchings.