摘要
为提高城市道路沉降监测的效率,全面了解道路整体沉降情况,本文基于车载激光扫描技术研究城市道路沉降监测的方法。采用车载激光扫描对城市道路进行点云数据的采集,通过KD-tree算法对Delaunay 2.5D道路模型进行领域搜索完成沉降量的快速统计,实现沉降路段的自动筛选,再提取断面数据完成相关路段的定量分析。实际应用结果表明:基于车载激光扫描的道路沉降监测方法可以实现道路沉降的快速分析,为城市道路的交通安全提供数据支撑。
In order to improve the efficiency of urban road settlement monitoring and comprehensively understand the situation of road settlement,this paper studies the method of rapid analysis of urban road settlement based on vehicle laser scanning technology.Vehiclemounted laser scanning was used to collect the point cloud data of urban roads.The KD-tree algorithm was used to conduct domain search on the Delaunay 2.5D road model to complete rapid statistics of settlement amount,realize automatic screening of sections with large settlement,and complete quantitative analysis of relevant sections with section data extraction.The practical application results show that the road settlement monitoring method based on vehicle laser scanning can realize the rapid analysis of road settlement and provide data support for the safe operation of urban roads.
作者
柯海南
KE Hainan(Shanghai Institute of Surveying and Mapping,Shanghai 200063,China;Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities,Ministry of Natural Resources,Shanghai 200063,China)
出处
《测绘通报》
CSCD
北大核心
2024年第S02期90-95,共6页
Bulletin of Surveying and Mapping
