论文标题
使用无人机和基于视觉的算法建立基础架构监视和检查
Built Infrastructure Monitoring and Inspection Using UAVs and Vision-based Algorithms
论文作者
论文摘要
这项研究使用实时控制无人机（UAV）提出了一个检查系统，以研究结构表面。该系统在有利的天气条件下运行以检查目标结构，该目标结构是本研究中的Wentworth轻轨底座结构。该系统包括无人机，GoPro Hero4相机，控制器和手机。无人机在测试场中手动取下地面，以收集需要以后分析的数据。这些图像是通过Hero 4相机拍摄的，然后通过Wi-Fi路由器建立的无线连接实时转移到远程处理单元，例如地面控制站。已经提出了一种图像处理方法来检测缺陷或损坏，例如裂纹。基于强度直方图算法利用与低强度间隔中包含的裂纹相关的像素组的方法。已经进行了实验，模拟和比较，以评估所提出系统的性能和有效性。
This study presents an inspecting system using real-time control unmanned aerial vehicles (UAVs) to investigate structural surfaces. The system operates under favourable weather conditions to inspect a target structure, which is the Wentworth light rail base structure in this study. The system includes a drone, a GoPro HERO4 camera, a controller and a mobile phone. The drone takes off the ground manually in the testing field to collect the data requiring for later analysis. The images are taken through HERO 4 camera and then transferred in real time to the remote processing unit such as a ground control station by the wireless connection established by a Wi-Fi router. An image processing method has been proposed to detect defects or damages such as cracks. The method based on intensity histogram algorithms to exploit the pixel group related to the crack contained in the low intensity interval. Experiments, simulation and comparisons have been conducted to evaluate the performance and validity of the proposed system.
