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Quantitative evaluation of overlaying discrepancies in mobile augmented reality applications for AEC/FM

机译：AEC / FM移动增强现实应用程序中重叠差异的定量评估

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摘要

Augmented Reality (AR) is a trending technology that provides a live view of the real and physical environment augmented by virtual elements, enhancing the information of the scene with digital information (sound, video, graphics, text or geo-location). Its application to architecture, engineering and construction, and facility management (AEC/FM) is straightforward and can be very useful to improve the on-site work at different stages of the projects. However, one of the most important limitations of Mobile Augmented Reality (MAR) is the lack of accuracy when the screen overlays the virtual models on the real images captured by the camera. The main reasons are errors related to tracking (positioning and orientation of the mobile device) and image capture and processing (projection and distortion issues).This paper shows a new methodology to mathematically perform a quantitative evaluation, in world co-ordinates, of those overlaying discrepancies on the screen, obtaining the real-scale distances from any real point to the sightlines of its virtual projections for any AR application. Additionally, a new utility for filtering built-in sensor signals in mobile devices is presented: the Drift-Vibration-Threshold function (DVT), a straightforward tool to filter the drift suffered by most sensor-based tracking systems.
机译：增强现实（AR）是一种趋势技术，可提供虚拟元素增强的真实和物理环境的实时视图，并通过数字信息（声音，视频，图形，文本或地理位置）增强场景的信息。它在建筑，工程和施工以及设施管理（AEC / FM）中的应用非常简单，对于改善项目不同阶段的现场工作非常有用。但是，移动增强现实（MAR）的最重要限制之一是，当屏幕将虚拟模型覆盖在相机捕获的真实图像上时，准确性不足。主要原因是与跟踪（移动设备的定位和方向）以及图像捕获和处理（投影和变形问题）相关的错误。本文介绍了一种新的方法，可以在世界坐标系中对这些方法进行数学评估。覆盖屏幕上的差异，以获取任何AR应用程序从任何真实点到其虚拟投影视线的真实比例距离。此外，还提出了一种用于过滤移动设备中内置传感器信号的新实用工具：漂移振动阈值功能（DVT），这是一种可以过滤大多数基于传感器的跟踪系统遭受的漂移的简单工具。

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