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

在这项研究中，我们开发了一种室内定位方法的基础上，在室内空间的光照强度的差异。为了解决室内空间具有多个具有相似光强度的独立区域的挑战，所提出的方法通过切换照明模式来强制改变目标空间上的光强度。然后，为了减少测量目标室内空间强度的劳动力，我们建立了一个模型来计算每个照明模式下每个点的光强度。我们设计了一种算法，该算法估计在由模型计算的光强度图中包括由光强度传感器获得的值的区域。通过一个接一个地切换照明模式，区域变窄，并且在小误差内估计用户的位置。我们将所提出的方法应用到具有四个照明设备的测试平台上，并确认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在大约0.4m的误差内。

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.