An iBeacon Training App for Indoor Fingerprinting

G. H. Flores, Thomas D. Griffin, D. Jadav
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引用次数: 7

Abstract

Indoor positioning systems have become widely available due to the increased number of wireless technologies available today. A type of wireless device that has become very popular in the past years has been the Bluetooth Low Energy (BLE) beacon. This compact, battery-powered device can enable location-based and proximity services across in-door spaces. Several indoor positioning techniques have been explored to achieve indoor localization using these wireless devices. One of these techniques is the fingerprinting technique, which requires careful collection of training data at known locations. We developed an app to facilitate and expedite the process of collecting training data with iOS devices. The training data is collected by our app and saved in the cloud for future retrieval. We collected training data from different floor maps, performed initial analysis on this data, and tested a fingerprinting algorithm in order to provide indoor localization. We developed several tools to evaluate and visualize the training data and tested our indoor localization algorithm in a real-time scenario.
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iBeacon室内指纹识别培训应用
由于无线技术的不断增加,室内定位系统已经变得广泛可用。在过去的几年里,一种非常流行的无线设备是低功耗蓝牙(BLE)信标。这种紧凑的电池供电设备可以在室内空间实现基于位置和邻近的服务。已经探索了几种室内定位技术,利用这些无线设备实现室内定位。其中一种技术是指纹识别技术,它需要在已知地点仔细收集训练数据。我们开发了一款应用程序,以方便和加快在iOS设备上收集训练数据的过程。训练数据由我们的app收集并保存在云端,以备将来检索。我们从不同的楼层地图中收集训练数据,对这些数据进行初步分析,并测试指纹算法,以提供室内定位。我们开发了几个工具来评估和可视化训练数据,并在实时场景中测试了我们的室内定位算法。
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