The potential of UAV-based Laser Scanning for Deformation Monitoring – Case Study on a Water Dam

Ansgar Dreier, H. Kuhlmann, L. Klingbeil
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引用次数: 1

Abstract

The use of unmanned aerial vehicles (UAV) in monitoring applications is constantly increasing due to the improvement in sensor technology and the associated higher accuracy that can be achieved. As a result, UAV-based laser scanning is already being used in various deformation monitoring applications such as the monitoring of landslides or land deformations. The main challenges, which also limit the accuracy of the resulting georeferenced point cloud are given by the trajectory estimation, the measurement environment and the flight planning. Difficult conditions and high accuracy demands are especially given for the monitoring of a water dam. While the use of area-based measurements such as terrestrial laser scanning (TLS) is an already established approach for such monitoring tasks, the use of a similar technology on a platform such as a UAV is promising and investigated in this study by acquiring a single measurement epoch at a water dam. In addition to the proposal of a flight pattern for the measurements, the trajectory estimation results are evaluated in detail. Due to critical GNSS conditions, positioning errors lead to systematic shifts between single flight strips. Subsequent optimization with known control points allows the point cloud to be compared to a TLS reference. The difference between the two is shown to have a mean difference of 5 mm with a 9.2 mm standard deviation. This can be considered a highly promising result, especially as the potential for further improvement by using additional targets and sensors (e.g. camera) has been identified.
基于无人机的激光扫描变形监测潜力——以某水电站为例
由于传感器技术的改进以及可以实现的更高精度,无人驾驶飞行器(UAV)在监控应用中的使用不断增加。因此,基于无人机的激光扫描已经被用于各种变形监测应用,如监测山体滑坡或土地变形。轨迹估计、测量环境和飞行规划是制约地理参考点云精度的主要挑战。对大坝的监测提出了条件复杂、精度高的要求。虽然使用基于区域的测量,如地面激光扫描(TLS)是一种已经建立的监测任务方法,但在无人机等平台上使用类似的技术是有前途的,本研究通过在大坝获取单个测量历元进行了研究。除了提出了一种测量飞行模式外,还对弹道估计结果进行了详细的评估。由于关键的GNSS条件,定位错误导致单个飞行带之间的系统偏移。使用已知控制点的后续优化允许将点云与TLS引用进行比较。两者之间的差异显示为平均差异为5毫米,标准偏差为9.2毫米。这可以被认为是一个非常有希望的结果,特别是通过使用额外的目标和传感器(例如相机)已经确定了进一步改进的潜力。
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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