高精度矢量数据的公路快速逆向建模方法

Fast reverse modeling method of highway based on high precision vector data

数字交通的快速发展对道路基础设施三维数字化提出了新的要求。针对人工建立公路三维模型费时费力等问题,研究了一种基于高精度矢量数据的快速逆向建模方法。以三维激光扫描点云为基础数据源,首先提取高速公路中各目标高精度矢量数据,并存储为空间矢量地图。然后针对道路场景各目标模型结构,提出自适应节点重建、参照线放样重建及实例化重建等多种关键建模方法;最后基于MAXscript三维建模语言进行开发,建立精细化的高速公路三维模型。以某段高速公路实际数据为例进行实验,验证该方法的可行性。

The rapid development of digital transportation puts forward new requirements for the three-dimensional digitization of road infrastructure.Aiming at the time-consuming and laborious problem of manually establishing highway three-dimensional model,a fast reverse modeling method based on high-precision vector data is studied.Based on the 3D laser scanning point cloud,this paper first extracts the high-precision vector data of each target in the expressway and stores it as a space vector map.Then,according to the target model structure of road scene,a variety of key modeling methods such as adaptive node reconstruction,reference line lofting reconstruction and instantiation reconstruction are proposed.Finally,based on MAXscript 3D modeling language,a refined 3D model of expressway is established.The feasibility of this method is verified by experiments on the actual data of a section of expressway.