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SmartITS: Smartphone-based identification and tracking using seamless indoor-outdoor localization

机译:SmartITS:使用无缝的室内-室外定位进行基于智能手机的识别和跟踪

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Localization in both indoor and outdoor environments is a long-studied problem. Using Smartphone for localization has also gained popularity recently. However, none of the existing solutions consider seamless localization and tracking of individuals in both indoor and outdoor stretches with significant accuracy. In this paper, we propose a human identification, monitoring, and location tracking system, called SmartlTS, which continuously tracks MAC ids of user equipment (Smartphones, BLE tags, and Bluetooth devices) and can provide a Google map-based visualization of their trajectories. Our tracker is a portable mobile entity comprising of a Smartphone and an external Wi-Fi adapter which does not require any extra hardware infrastructure to deploy as well as does not need any modification in hardware design at all. Extensive testing with a prototype testbed system in densely populated areas shows that the SmartlTS system can seamlessly track user trajectories in indoor and outdoor stretches with a high aggregate location accuracy which is up to 44.49% more accurate than the simple GPS based location tracking system. Our proof-of-concept prototype shows the usability of SmartITS architecture. We also perform several experiments for evaluating the Smartphone's performance as a scanner and as a sensor tag.
机译:室内和室外环境中的本地化都是一个长期研究的问题。最近,使用智能手机进行本地化也越来越流行。但是,现有解决方案均未考虑以非常精确的方式对室内和室外路段中的个人进行无缝定位和跟踪。在本文中,我们提出了一种人类识别,监视和位置跟踪系统,称为SmartlTS,该系统可以连续跟踪用户设备(智能手机,BLE标签和蓝牙设备)的MAC ID,并可以提供基于Google Map的轨迹可视化。我们的跟踪器是一个便携式移动实体,由智能手机和外部Wi-Fi适配器组成,无需部署任何额外的硬件基础架构,也不需要对硬件设计进行任何修改。在人口稠密地区使用原型测试台系统进行的广泛测试表明,SmartlTS系统可以无缝跟踪室内和室外路段的用户轨迹,具有很高的集合定位精度,比基于简单GPS的定位跟踪系统准确度高44.49%。我们的概念验证原型展示了SmartITS体系结构的可用性。我们还进行了一些实验,以评估智能手机作为扫描仪和传感器标签的性能。

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