基于图像的土木工程质量控制测量系统

A. Reiterer, M. Lehmann
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引用次数: 7

摘要

在过去,高精度在线三维测量需要人工目标来定义被监测物体上的点。对于许多任务,如监测建筑物的位移,人工目标是不可取的。今天的图像辅助测量系统甚至可以在没有目标的情况下进行测量。这种系统利用物体表面的纹理来寻找“有趣的点”,这些点可以取代人工目标。然而,需要训练有素的“测量专家”来操作这样的测量系统。为了使这种系统即使对于非专家也易于使用,它可以通过适当的支持操作员的决策系统进行扩展。维也纳理工大学大地测量与地球物理研究所正在开发一种新的基于图像的测量系统(研究项目“基于知识和认知视觉技术的多传感器变形测量系统”)。该系统可用于土木工程质量控制任务中的变形测量、分析和解释。该工作流基于最初在人工智能领域开发的新技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Image-Based Measurement System for Quality Control in Civil Engineering
In the past, high-precision on-line 3D measuring required artificial targets defining the points on the objects to be monitored. For many tasks like monitoring of displacements of buildings, artificial targets are not desired. Today's image assisted measurement systems can perform their measurements even without targeting. Such systems use the texture on the surface of the object to find "interesting points" which can replace the artificial targets. However, well-trained "measurement experts" are required to operate such a measurement system. In order to make such systems easy to use even for non-experts, it can be extended by an appropriate decision system which supports the operator. At the Institute of Geodesy and Geophysics of Vienna University of Technology a new kind of image-based measurement system is to be developed (research project "multi-sensor deformation measurement system supported by knowledge-based and cognitive vision techniques"). This system can be used for measuring, analysing and interpreting deformations for the task of quality control in civil engineering. The workflow is based on new techniques originally developed in the area of artificial intelligence.
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