摘要
面对价格昂贵的专业级三维激光扫描仪,针对使用现有二维底图或人工建模可能使得在构建跨楼层路网的过程中出现准确性或效率性低等情况,且考虑如何对室内过道、走廊等区域进行抽象,提出一种基于激光点云数据的室内路网构建方法。该方法以消费级激光雷达扫描设备采集的建筑物内部点云为基础数据,结合直通滤波和投影滤波对点云进行预处理,得到去噪后的平面二维点云,进行栅格二值化处理,针对性填充点云孔洞,抽取骨架线,剔除毛刺并提取骨架线节点,将节点间的拓扑关系存储为邻接表形式的图模型,得到可利用Dijkstra算法寻径并将寻得的最短路径可视化的三维路网模型。
In the face of expensive professional-grade 3D laser scanner,an indoor road network construction method based on laser point cloud data was proposed,aiming at the low accuracy or efficiency in the process of building cross-floor road network by using existing 2D base map or manual modeling,and considering how to abstract indoor corridors,corridors and other areas.The method takes the point cloud inside the building collected by the consumer LiDAR scanning equipment as the basic data,combines the through filter and projection filter to preprocess the point cloud,obtains the de-noised planar two-dimensional point cloud,carries out raster binarization processing,and targeted fills the holes in the point cloud,extracts the skeleton line,removes burrs and extracts the skeleton line nodes.The topology relationship between nodes is stored as a graph model in the form of adjacency table,and a 3D road network model can be obtained by using Dijkstra algorithm to find and visualize the shortest path.
作者
冯敏
钱程扬
沈姜威
谢宏全
FENG Min;QIAN Chengyang;SHEN Jiangwei
出处
《科技创新与应用》
2024年第9期25-28,共4页
Technology Innovation and Application
基金
苏州市产业前瞻与关键核心技术项目(SYC2022028)。
关键词
激光点云
路网模型
骨架线
节点
消费级
laser point cloud
road network model
skeleton line
node
consumption level
作者简介
第一作者:冯敏(1997-),女,硕士。研究方向为数字城市空间信息采集与处理;通信作者:钱程扬(1983-),男,博士,高级工程师。研究方向为地理空间智能与时空大数据。
