利用智能灯进行被动定位

Weizheng Wang, Junwei Zhang, Qing Wang, Marco Zúñiga
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引用次数: 4

摘要

基于可见光的定位越来越受到重视。但是大多数现有的研究都依赖于一个关键的要求:感兴趣的物体需要携带一个光学接收器(相机或光电二极管)。我们取消了这一要求,并研究了以被动方式实现精确定位的可能性,即不需要物体携带任何光学接收器。为了实现这一目标,我们利用了物体的反射表面和LED灯具独特的传播特性。我们提出了几何模型、测试平台实现和经验评估,以展示这种新型本地化带来的机遇和挑战。总的来说,我们表明我们的方法可以高精度地跟踪(几厘米)物体轨迹的子集,它也可以被动地识别物体的ID。
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Leveraging Smart Lights for Passive Localization
Localization based on visible light is gaining significant attention. But most existing studies rely on a key requirement: the object of interest needs to carry an optical receiver (camera or photodiode). We remove this requirement and investigate the possibility of achieving accurate localization in a passive manner, that is, without requiring objects to carry any optical receiver. To achieve this goal, we exploit the reflective surfaces of objects and the unique propagation properties of LED luminaires. We present geometric models, a testbed implementation, and empirical evaluations to showcase the opportunities and challenges posed by this new type of localization. Overall, we show that our method can track with high accuracy (few centimeters) a subset of an object's trajectory and it can also identify passively the object's ID.
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