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Challenging issues and solutions of bridge inspection technology using unmanned aerial vehicles

机译:无人机使用桥梁检查技术的难题和解决方案

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It is expected that bridge inspection using unmanned aerial vehicles (UAVs) equipped with imaging devices is able to improve public safety and structural reliability by providing the close detail of a bridge appearance. Thus, interests in bridge inspection using UAVs are increasing worldwide. However, at present, most of them simply use commercially available UAVs to acquire images of parts of the bridge that are difficult to access (e.g., upper parts of the pylons in long-span bridges). It cannot meet the final goal of bridge inspection that is to assess the condition of the bridge. Therefore, this approach is still considered to be at an early stage from a practical point of view and a more systematic and reliable approach is needed. In this paper, challenging issues of bridge inspection using UAVs are identified and their solutions are presented. To this end. a recently launched research project is introduced by describing the developing core technologies such as a new UAV-localization algorithm without GPS. noncontact inspection techniques based on data fusion of hybrid images and a bridge condition evaluation technique based on the processed data originally obtained from UAVs. Some interim results of field tests are also presented.
机译:期望使用配备有成像装置的无人机来进行桥梁检查能够通过提供桥梁外观的详细信息来提高公共安全性和结构可靠性。因此,全世界对使用无人机进行桥梁检查的兴趣正在增加。然而,目前,它们中的大多数仅使用市售的无人机来获取难以接近的桥梁部分的图像(例如,大跨度桥梁中的塔架的上部)。它不能满足评估桥梁状况的桥梁检查的最终目标。因此,从实践的角度来看,该方法仍被认为处于早期阶段,因此需要一种更加系统和可靠的方法。在本文中,确定了使用无人机进行桥梁检查的挑战性问题,并提出了解决方案。为此。通过描述开发中的核心技术(例如不带GPS的新型UAV定位算法),介绍了一个最近启动的研究项目。基于混合图像数据融合的非接触式检查技术和基于原始从无人机获得的处理数据的桥梁条件评估技术。还提供了一些现场测试的中期结果。

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