结构光三维扫描技术在道路病害识别方面的研究

目前利用探地雷达进行路基病害探测是一种较为科学的方法。如果同时能够获取路面三维模型,将地上路面信息与地下路基信息进行关联互补,将能够有效地检测出道路病害。利用基于HALCON的激光三角测量法完成对道路模型的测量,以大型跨平台开源点云库(PCL)为主,应用大量点云相关的通用算法和高效数据结构,针对道路病害特点,对点云进行获取、滤波、特征提取、曲面重建、可视化等处理,能够从三维重构图中清晰分辨出道路病害的情况。

Research on structural light for 3D reconstruction technology for road disease recognition

In recent years, the use of ground-penetrating radar to detect subgrade disease is a more scientific method. At the same time, if we can get the three-dimensional surface model can effectively detect the road pro pack, pit, crack, damage and other diseases, which is associated with ground penetrating radar to do underground and aboveground complementary information, will be able to effectively detect disease roads. The application of laser triangulation method based on HALCON is used to detect subgrade disease. Based on large cross-platform open-source called PCL which has a large number of studies related to general algorithm and efficient point cloud data structure, involves point cloud acquisition, filtering, segmentation, registration, retrieval, feature extraction, recognition track, surface reconstruction and visualization, data filtering algorithms, data reduction algorithms, feature extraction algorithm and surface reconstruction algorithm. The road disease can be clearly distinguished from the three-dimensional reconstructed image.