基于车载LiDAR数据的道路横纵断面获取

Road Cross-lengthways Section Acquisition Based on Vehicle-borne LiDAR Data

传统道路横纵断面获取主要是先利用全站仪或实时差分定位技术RTK放样得到中桩,再测出每个横断面的高程,费时费力。针对传统方法获取效率低、成本高的问题,提出了一种利用高精度车载LiDAR数据进行道路横纵断面获取的方法。首先对获取的点云数据进行预处理,然后进行点云滤波、路面点云精确提取,最后通过对路面点云数据构建地表数模的方式制作道路横纵断面图。工程实践表明,该方法可高精度自动提取道路横纵断面,提高了道路勘测设计的效率。

The traditional road cross-lengthways section acquisition methods mainly use the total station instrument or the real-time differential positioning technology RTK to set out the middle pile, so as to measure the elevation of each cross section, which wastes time and energy. Aiming at the current method with low e ciency and high cost, we proposed a novel road cross-lengthways section acquisition method based on vehicle-borne LiDAR data with high accuracy in this paper. Firstly, we preprocessed the obtained point cloud data. en, we did point cloud lter, and extracted the surface point cloud accurately. At last, we produced the road cross-lengthways section map by constructing surface mathematical model for road point cloud. The engineering practice shows that this method can automatic extract the road cross-lengthways section with high accuracy and improve the effciency of road surveying and design.