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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。
At present, the use of GPR to detect subgrade diseases is a more scientific method. If at the same time be able to get the three-dimensional model of the road surface, the ground information and ground subgrade information associated with each other, will be able to effectively detect the road disease. Based on the HALCON-based laser triangulation method, the measurement of the road model is completed. Based on the large-scale cross-platform open source point cloud library (PCL), a large number of common cloud point-related algorithms and efficient data structures are applied. According to the characteristics of the road disease, Performing acquisition, filtering, feature extraction, surface reconstruction, visualization and other processing can clearly distinguish the road disease from the three-dimensional reconstruction map.