首页> 外文期刊>IEEE transactions on mobile computing >Visible Light Localization Using Conventional Light Fixtures and Smartphones
【24h】

Visible Light Localization Using Conventional Light Fixtures and Smartphones

机译:使用常规灯具和智能手机进行可见光定位

获取原文
获取原文并翻译 | 示例

摘要

Owing to dense deployment of light fixtures and multipath-free propagation, visible light localization technology holds potential to overcome the reliability issue of radio localization. However, existing visible light localization systems require customized light hardware, which increases deployment cost and hinders near-term adoption. In this paper, we propose LiTell, a simple and robust localization scheme that employs unmodified fluorescent lights (FLs) as location landmarks and commodity smartphones as light sensors. LiTell builds on the key observation that each FL has an inherent characteristic frequency which can serve as a discriminative feature. It incorporates a set of sampling, signal amplification, and camera optimization mechanisms, that enable a smartphone to capture the extremely weak and high-frequency (greater than 80 kHz) features. We have implemented LiTell as a real-time localization and navigation system on Android. Our experiments demonstrate LiTell & x0027;s high reliability in discriminating different FLs, and its potential to achieve sub-meter location granularity. Our user study in a multi-story office building, parking lot, and grocery store further validates LiTell as an accurate, robust, and ready-to-use indoor localization system.
机译:由于灯具的密集部署和无多径传播,可见光定位技术具有克服无线电定位可靠性问题的潜力。但是,现有的可见光定位系统需要定制的照明硬件,这会增加部署成本并阻碍近期采用。在本文中,我们提出LiTell,这是一种简单而强大的本地化方案,该方案使用未修改的荧光灯(FL)作为位置标记,并使用商用智能手机作为光传感器。 LiTell的主要观察结果是,每个FL都有一个固有的特征频率,可以用作区分特征。它整合了一组采样,信号放大和相机优化机制,使智能手机能够捕获极弱和高频(大于80 kHz)的功能。我们已将LiTell实施为Android上的实时本地化和导航系统。我们的实验证明LiTell&x0027;在区分不同FL方面具有很高的可靠性,并且具有实现亚米级位置粒度的潜力。我们在多层办公楼,停车场和杂货店中进行的用户研究进一步验证了LiTell是一个准确,强大且易于使用的室内本地化系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号