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Indoor Localization for an Augmented Reality-Aided Operation and Maintenance System based on Sensor Data Integration

机译:基于传感器数据集成的增强现实辅助运维系统的室内定位

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We propose a method for determining the location of a mobile client for augmented reality (AR) aided maintenance and operation systems using the data integration of localization results from wireless LAN signals and three-dimensional camera image sequences. The AR technology is used to enhance real information by adding virtual objects, images, and sounds through camera images. To apply the AR system to maintenance and operation tasks in large structures, a data management system for localization is crucial because of the cost for searching for real-location information. We propose a sensor data integration scheme for the localization of a mobile client the indoor structure using the localization results from camera image sequences and the results using the wireless LAN signal strength. The data integration scheme provides an area selection method using the estimation result of the location in the structure using wireless LAN signals and the precise location estimation using camera image sequences. The experimental results confirm the feasibility of the proposed method.
机译:我们提出一种使用无线局域网信号和三维摄像机图像序列的定位结果的数据集成来确定增强现实(AR)辅助维护和操作系统移动客户端位置的方法。 AR技术用于通过添加摄像机图像中的虚拟对象,图像和声音来增强真实信息。为了将AR系统应用于大型结构的维护和操作任务,用于本地化的数据管理系统至关重要,因为搜索真实位置信息的成本较高。我们提出了一种传感器数据集成方案,用于使用摄像机图像序列的定位结果和使用无线局域网信号强度的结果对移动客户端的室内结构进行定位。数据集成方案提供了一种区域选择方法,该方法使用无线局域网信号的结构中位置的估计结果以及使用相机图像序列的精确位置估计。实验结果证明了该方法的可行性。

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