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

机译:无人机航空公司桥梁检测技术挑战性问题及解决方案

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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:预计使用配备有成像装置的无人驾驶飞行器(无人机)的桥梁检查通过提供桥式外观的密闭细节,能够提高公共安全和结构可靠性。因此,使用无人机的桥梁检查的利益正在全世界增加。然而,目前,它们中的大多数只是使用商业上可获得的无人机来获取难以访问的桥的部件的图像(例如,长跨度桥梁的塔架的上部)。它无法满足桥梁检查的最终目标,即评估桥梁的状况。因此,这种方法仍被认为是从实际观点的早期阶段,并且需要更系统和更可靠的方法。在本文中,确定了使用无人机的桥梁检查问题并提出了解决方案。为此。通过描述开发核心技术(如没有GPS的新的UV-Localization算法),引入了最近推出的研究项目。基于混合图像数据融合的非接触检查技术和基于从UAV获得的处理数据获得的基于处理数据的桥梁条件评估技术。还提出了一些现场测试的临时结果。

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