摘要
针对道路精细化三维模型生产自动化水平低、效率低、成本高等问题,本文通过研究矢量数据属性和结构化建模参数,提出一种基于车载激光点云数据和全景照片快速生产道路三维模型的方法,实现道路路面和各类设施批量自动建模,进而提高作业效率。通过试验分析,验证了该方法的可行性和有效性。
Aiming at the problems of low automation level,low efficiency and high cost in the production of refined 3D models of roads,studying the attributes of vector data and structured modeling parameters,proposes a method for rapidly producing 3D models of roads based on vehicle-mounted laser point cloud data and panoramic photos,to achieve batch automatic modeling of road surfaces and various facilities,and thereby improve the operation efficiency.Through experimental analysis,the feasibility and effectiveness of this method were verified.
作者
孙思涵
朱贵方
李涵坤
SUN Sihan;ZHU Guifang;LI Hankun(Shenyang Geotechnical Investigation&Surveying Research Institute Co.,Ltd.,Shenyang 110000,China;Expert Studio on Spatio-Temporal Information and Ubiquitous Sensing Science of Smart Cities,Shenyang 110000,China)
出处
《测绘通报》
北大核心
2025年第S1期166-168,184,共4页
Bulletin of Surveying and Mapping
关键词
车载激光点云
道路三维模型
矢量采集
结构化建模
vehicle laser point clouds
3D model of the road
vector acquisition
Structured modeling
作者简介
孙思涵(1999-),女,硕士,主要研究方向为移动测量技术与方法、三维建模等。E-mail:1064478371@qq.com
