基于车载点云的云数据处理及三维建模

Cloud Data Processing and 3D Modeling Based on Vehicular Point Cloud

本研究通过车载激光扫描获得道路点云和全景数据,获得道路和独立物体的位置和属性信息,探索高效、高精度的道路全要素三维实景建模方法。采用道路点云数据作为数据来源,对道路上的单个地物和标志标线进行三维信息的收集,建立了道路构件的模块库;基于道路三维信息构建完整的道路全要素三维实景模型。经精度检验,基于车载点云的云数据处理建立了完整的道路全要素三维实景模型,其数据精度达到了工程的精度要求。可将大量的现场工作转化为室内工作,既可减轻工人的工作量,又可提高所构建的精细模型的准确性。

This study obtains road point clouds and panoramic data through vehicle mounted laser scanning,obtains the position and attribute information of roads and independent objects,and explores efficient and high-precision 3D realistic modeling methods for all features of roads.Using road point cloud data as the data source,three-dimensional information was collected on individual features and signs on the road,and a module library of road components was established;Build a complete 3D realistic modelofall road features based on road 3D information.After accuracy testing,a complete 3Drealistic model of all road elements has been established based on cloud data processing of vehicle mounted point clouds,and its data accuracy meets the accuracy requirements of engineering.It can convert a large amount of on-site work into indoor work.reducing the workload of workers and improving the accuracy of the constructed fine models.