摘要
在铁路基础设施数字化建模领域,建筑实体的三维信息化呈现面临多源数据整合困难、几何特征不完整、约束条件不足以及海量数据处理等技术挑战。本文以新塘铁路站房及线路的主体结构数字化重构为研究对象,提出一种融合无人机倾斜摄影技术与地面激光扫描技术的精细化三维建模方法。该方法通过深度融合光学影像数据与激光点云数据,实现真实场景的三维数字化表达;同时整合多种来源的点云数据,完成虚拟场景的三维模型构建,最终形成具有高空间精度、完整属性信息以及高保真表面特征的三维数字化成果。
In the field of digital modeling of railway infrastructure,the 3D digital representation of building entities faces multiple technical challenges,including difficulties in multi-source data integration,incomplete geometric features,insufficient constraint conditions,and massive data processing.Taking the digital reconstruction of the main structure of Xintang Railway Station building and tracks as the research subject,this paper proposed a high-precision 3D modeling approach that integrates drone-based oblique photogrammetry with LiDAR.By deeply fusing optical image data and LiDAR point cloud data,the approach achieves an 3D digital representation of the real scenes.Moreover,it integrates multi-source point cloud data to construct a 3D model of virtual scenes,ultimately delivering a high-precision,fully attributed,and high-fidelity digital 3D outcome.
作者
聂楠
刘峰
蔡文枫
NIE Nan;LIU Feng;CAI Wenfeng(China Railway Guangzhou Group Co.,Ltd.,Guangzhou 510180,China;China Academy of Railway Sciences Group Co.,Ltd.,Beijing 100081,China;CARS(Shenzhen)Research&Design Institute Co.,Ltd.,Shenzhen 518063,China)
出处
《高速铁路技术》
2025年第6期16-22,共7页
High Speed Railway Technology
基金
广东省重点领域研发计划(ASZ19S013)
中国国家铁路集团有限公司科技研究开发计划(K2023G042)
中国铁路广州局集团有限公司科技研究开发计划课题(2022K072-Z)。
关键词
铁路
数据采集
结构化建模
模型重建
倾斜摄影
点云
railway
data acquisition
structured modeling
model reconstruction
oblique photogrammetry
point cloud
