基于车载LiDAR点云的建筑物三维建模及精度分析

Building Three-Dimensional Modeling and Precision Analysis Based on Vehicle LiDAR Point Cloud

车载激光扫描技术,作为一种较新的数据获取方式,可以快速获取道路两侧建筑物及地表物体的位置和相关属性,获取的点云数据丰富。传统的三维建模,数据获取时间长而且精度低,满足不了现代数字城市三维建模的快速更新,而建筑物是城市地物中主要的要素之一,其三维模型更是构成数字城市建设中三维模型库的基础。因此,本文以车载Li DAR点云为研究对象,提出一种基于车载Li DAR点云的建筑物自动提取算法,实现了一般建筑物点云的自动提取;然后根据提取的建筑物点云,结合3D Max进行建筑物的三维建模。

The vehicle laser scanning technology,as a relatively new data acquisition method,can quickly obtain the location and related attributes of the buildings and surface objects on both sides of the road,and the acquired point cloud data is abundant.The traditional three-dimensional modeling,long data acquisition time and low precision,can not meet the rapid update of the three-dimensional modeling of modern digital cities,and buildings are one of the main elements of urban land,and its three-dimensional model is also a digital city construction. The basis of the 3 D model library. Therefore,this dissertation takes vehicle Li DAR point cloud as the research object,proposes an automatic building extraction algorithm based on vehicle Li DAR point cloud,realizes the automatic extraction of general building point cloud,and then combines 3 D MAX with the extracted building point cloud. Perform 3 D modeling of the building