Measuring position determination for accurate and efficient visual inspection using UAV

Kotaro Asa, Yuki Funabora, S. Doki, K. Doki
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引用次数: 3

Abstract

This paper presents a measuring position determination method of Unmanned Aerial Vehicles (UAVs) for automatic visual inspection. Ensuring accuracy and considering efficiency of operations in data gathering to detect anomaly are both important functions for inspections. This method is under the assumption that the 3D model of a target facility, required accuracy of gathering data and specs of instruments are given. The triangular polygons for shape description of the 3D model are reconstructed to those for measurement and the measuring positions; the waypoints that an UAV travels to gather the accurate data of the target facility efficiently are calculated systematically. If the measuring positions are obtained, the flight path appropriating for visual inspection can be planned by general path-planning methods by setting the measuring positions as waypoints. For evaluation of efficiency of measurement, the proposed method is examined through computer simulations on the assumption that an UAV measure image data of two typical bridges; a girder bridge and an arch bridge.
利用无人机进行精确、高效的目视检测测量定位
提出了一种用于无人机自动目视检测的测量位置确定方法。在数据采集过程中,保证数据采集的准确性和考虑操作效率是检测工作的重要功能。该方法是在给定目标设施的三维模型、数据采集精度要求和仪器规格的前提下提出的。将用于三维模型形状描述的三角形多边形重构为用于测量的三角形多边形和测量位置;系统地计算了无人机为高效采集目标设施准确数据而飞行的航路点。得到测量位置后,将测量位置设为航路点,用一般航路规划方法规划出适合目测的航路。为了评估测量的效率,假设一架无人机测量两座典型桥梁的图像数据,通过计算机仿真对所提出的方法进行了验证;一座梁桥和一座拱桥。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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