可穿戴设备负担得起:带有可见光的轻型室内定位

Zhice Yang, Zeyu Wang, Jiansong Zhang, Chenyu Huang, Qian Zhang
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引用次数: 238

摘要

可见光定位(VLP)为实现亚米精度的室内定位提供了一种很有前途的方法。我们观察到现有的可见光通信(VLC)方法依赖于基于强度的调制,因此它们需要高脉冲速率来防止闪烁。然而,高脉冲速率给接收设备增加了不必要的负担。为了消除这一负担,我们提出了基于偏振的无闪烁调制,以实现低脉冲率VLC。通过这种方式,我们使VLP重量足够轻,甚至可以用于资源受限的可穿戴设备,例如智能眼镜。此外,基于偏振的VLC可以应用于任何照明光源,从而消除了对LED的依赖。本文提出了VLP系统PIXEL,实现了我们的思想。在PIXEL中,我们开发了三种技术,每种技术都解决了一个设计挑战:1)一种新颖的基于颜色的调制方案来处理用户?2)自适应降采样算法解决可穿戴设备的采样不均匀问题。低成本相机和3)定位算法的计算优化方法,以实现实时处理。我们实现PIXEL?他还将为智能手机和谷歌眼镜开发一款软件。我们基于样机的实验表明,PIXEL可以为可穿戴设备和智能手机提供精确的实时VLP,相机分辨率粗至60像素x 80像素,CPU频率低至300MHz。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wearables Can Afford: Light-weight Indoor Positioning with Visible Light
Visible Light Positioning (VLP) provides a promising means to achieve indoor localization with sub-meter accuracy. We observe that the Visible Light Communication (VLC) methods in existing VLP systems rely on intensity-based modulation, and thus they require a high pulse rate to prevent flickering. However, the high pulse rate adds an unnecessary and heavy burden to receiving devices. To eliminate this burden, we propose the polarization-based modulation, which is flicker-free, to enable a low pulse rate VLC. In this way, we make VLP light-weight enough even for resource-constrained wearable devices, e.g. smart glasses. Moreover, the polarization-based VLC can be applied to any illuminating light sources, thereby eliminating the dependency on LED. This paper presents the VLP system PIXEL, which realizes our idea. In PIXEL, we develop three techniques, each of which addresses a design challenge: 1) a novel color-based modulation scheme to handle users? mobility, 2) an adaptive downsampling algorithm to tackle the uneven sampling problem of wearables? low-cost camera and 3) a computational optimization method for the positioning algorithm to enable real-time processing. We implement PIXEL?s hardware using commodity components and develop a software program for both smartphone and Google glass. Our experiments based on the prototype show that PIXEL can provide accurate realtime VLP for wearables and smartphones with camera resolution as coarse as 60 pixel x 80 pixel and CPU frequency as low as 300MHz.
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