Fingerprint Data Collection Using Autonomous Robot Vehice for Indoor Localization System

László Árvai
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Abstract

There is a high interest for indoor localization systems which works without specific infrastructure, since their installation and maintenance cost is minimal and they are available everywhere in shopping malls, public buildings or offices. Using such an indoor localization system we only need a smartphone with the appropriate application. In order the application be able to determine the user’s position it measures some location specific signals, like Wi-Fi, Bluetooth, Earth magnetic field strength and compares this measured value with premeasured field strength map of the building. This field strengths map needs to be created in advance and this is the only time-consuming operation using such an infrastructure less indoor localization system. The location specific field strings data needs to be measured with the appropriate spacing all along the future navigation routes. This measurement activity can be automatized using an appropriate robotic vehicle. The basic requirements and the development of such a robot is discussed in this article.
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基于自主机器人车辆的指纹采集室内定位系统
人们对无需特定基础设施的室内定位系统非常感兴趣,因为它们的安装和维护成本最低,而且在商场、公共建筑或办公室随处可见。使用这样的室内定位系统,我们只需要一个带有适当应用程序的智能手机。为了使应用程序能够确定用户的位置,它测量一些特定位置的信号,如Wi-Fi,蓝牙,地球磁场强度,并将测量值与预先测量的建筑物场强图进行比较。该场强图需要提前创建,这是使用这种基础设施较少的室内定位系统的唯一耗时操作。位置特定的字段字符串数据需要沿着未来的导航路线用适当的间距进行测量。这种测量活动可以使用适当的机器人车辆实现自动化。本文讨论了这种机器人的基本要求和发展。
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