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Indoor Positioning System Using Beacon Devices for Practical Pedestrian Navigation on Mobile Phone

机译:室内定位系统使用信标设备在手机上实用行人导航

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In this paper, we propose a positioning system for indoor pedestrian navigation services using mobile phones. Position information services with a Global Positioning System (GPS) are widely used for car navigation and portable navigation. Their navigation systems facilitate development of industry and increase the convenience of civil life. However, such systems and services are available only for locations in which satellite signals can be received because users' self-positions are computed using GPS. Therefore, we developed a system for indoor environments, operating with a user's mobile terminal and battery-driven beacon devices in a server-less environment. Moreover, to provide convenient services using position information indoors, we developed an indoor navigation system that is useful in commercial facilities and office buildings. The system consists of smart phone and license-free radio beacon devices that can be driven with little electric power. In our proposed method, probabilistic estimation algorithms are applied to estimate self-positions in indoor locations, such as those where it is impossible to receive GPS signals. Feature of the system is that 2.5-dimensional indoor positioning is possible to calculate with low computational power device such as mobile phone. The system works autonomously, i.e., the user's device receives wireless beacon signals from the surrounding environment and can thereby detect a user's position independently from the mobile terminal, thereby obviating server-side computation.
机译:在本文中,我们提出了一种使用移动电话的室内行人导航服务定位系统。具有全球定位系统(GPS)的位置信息服务广泛用于汽车导航和便携式导航。他们的导航系统促进了行业的发展,增加了民事生活的便利性。然而,这种系统和服务仅适用于可以使用卫星信号的位置,因为使用GPS计算用户的自我位置。因此,我们开发了一个用于室内环境的系统,在更少的服务器环境中使用用户的移动终端和电池驱动的信标设备进行操作。此外,为使用室内位置信息提供方便的服务,我们开发了一个在商业设施和办公楼中有用的室内导航系统。该系统由智能手机和可用许可的无线电标信标设备组成,可通过很少的电力驱动。在我们所提出的方法中,应用概率估计算法以估计室内位置中的自我位置,例如不可能接收GPS信号的那些。系统的特征是,2.5维室内定位可以用低计算功率装置(如移动电话)计算。该系统自动地工作,即用户的设备从周围环境接收无线信标信号,从而可以独立地从移动终端检测用户的位置,从而避免了服务器侧计算。

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