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

在本研究中，我们开发了一种基于室内空间光强差异的室内定位方法。为了解决室内空间具有多个相似光强的独立区域的挑战，该方法通过切换照明模式来强制目标空间的光强变化。然后，为了减少测量目标室内空间上的光强的工作量，我们建立了计算每个照明模式下每个点的光强的模型。我们设计了一种算法，该算法在模型计算的光强图中估计包含光强传感器获得的值的区域。通过逐个切换照明模式，可以缩小区域，并在很小的误差内估计用户的位置。我们将提出的方法应用于一个有四个照明装置的测试平台，并证实我们的方法通过大约两次照明模式切换来估计用户的位置，误差在0.4m左右。

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.