摘要
道路是一种基础且广泛的城市基础设施。随着城市建设的不断推进,道路三维模型的需求与应用也面临更多要求,而实景三维成果与道路三维模型的融合使用,也会带来更广泛的数据应用场景。在此背景下,本文对基于车载激光点云的道路三维数字化采集建模技术进行了研究分析,对技术路线及方法进行了说明,并通过生产实践,将研究方法服务于实际工程项目中,指导数据生产及实施。应用结果表明,本文方法有效提升了三维数字化生产效率,提高了道路三维模型建设的准确性,为构建道路三维模型数据库,提升资产管理效率,实现公路资产三维可视化和智慧化管理提供了保障。本文研究成果在道路三维数字化、高精度导航电子地图、交通数字孪生等领域有着广阔的应用前景,对相关数据生产有重要的参考意义。
Road is one of the fundamental and widely used urban infrastructures.With the continuous development of urban construction,the demand for and applications of 3D road models have increased significantly and the integration of 3D real-scene data with 3D road models will inevitably increase their application scenarios.Therefore,this paper investigates and analyzes 3D road digital acquisition and modeling technologies based on vehicle-borne LiDAR point clouds,detailing their technical workflows and methodologies,and applying it in a practical engineering project to guide data production and implementation.The results show that this method can effectively improve both the efficiency of 3D digital production and the accuracy of 3D road model construction.It can provide a foundation for building 3D road model databases,improving asset management efficiency,and achieving 3D visualization and intelligent management of road assets.The research findings hold significant reference value for related data production and demonstrate broad application prospects in fields such as road 3D digitization,high-precision navigation electronic maps,and transportation digital twins.
作者
李娇娇
LI Jiaojiao(Jiangsu Geomatics Center,Nanjing,Jiangsu 210013,China)
出处
《测绘技术装备》
2026年第1期132-136,共5页
Geomatics Technology and Equipment
基金
江苏省自然资源厅科研课题(2024024)
2024年度自然资源科技创新项目(JSZRKJ202405)。
关键词
道路三维建模
车载激光雷达
点云
矢量提取
自动构建
road modeling
vehicle-borne LiDAR
point cloud data
vector extraction
automatic building
