|
|
|
|
|
|
Automatic reconstruction of LoD3 city building model based on airborne and vehicle-mounted LiDAR data |
Li YAN, Yao LI, Hong XIE |
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China |
|
|
Abstract With the rapid development of research fields such as smart city, intelligent navigation and automatic drive, the problem as to how to quickly achieve three dimensional space information of city buildings and build a high-precision 3D detailed model become a key problem. Based on the 2.5D features of airborne and vehicle-mounted LiDAR data, the authors established a technical scheme to generate 3D detailed model based on data integration with the using of 2.5D dual-contour method. The research shows that the method can express the details of the facade, such as the window and balcony, and has the advantages of simpleness, high efficiency and full automation.
|
Keywords
building reconstruction
airborne LiDAR
vehicle-mounted LiDAR
data integration
automation
|
|
Issue Date: 07 December 2018
|
|
|
[1] |
李德仁, 龚健雅, 邵振峰 . 从数字地球到智慧地球[J]. 武汉大学学报(信息科学版), 2010,35(2):127-132.
|
[1] |
Li D R, Gong J Y, Shao Z F . From digital earth to smart earth[J]. Geomatics and Information Science of Wuhan University, 2010,35(2):127-132.
|
[2] |
Gröger G, Kolbe T H, Nagel C , et al. OGC City Geography Markup Language (CityGML) Encoding Standard[S]. Open Geospatial Consortium, 2012.
|
[3] |
杨必胜, 魏征, 李清泉 , 等. 面向车载激光扫描点云快速分类的点云特征图像生成方法[J]. 测绘学报, 2010,39(5):540-545.
doi: 10.1017/S0004972710001772
url: http://www.cqvip.com/QK/71135X/201107/35782363.html
|
[3] |
Yang B S, Wei Z, Li Q Q , et al. A classification-oriented method of feature image generation for vehicle-borne laser scanning point clouds[J]. Acta Geodaetica et Cartographica Sinica, 2010,39(5):540-545.
|
[4] |
Donkers S, Ledoux H, Zhao J , et al. Automatic conversion of IFC datasets to geometrically and semantically correct CityGML LOD3 buildings[J]. Transactions in GIS, 2015,20(4):547-569.
doi: 10.1111/tgis.12162
url: http://onlinelibrary.wiley.com/doi/10.1111/tgis.12162/pdf
|
[5] |
Musialski P, Wonka P, Aliaga D G , et al. A survey of urban reconstruction[J]. Computer Graphics Forum, 2013,32(6):146-177.
doi: 10.1111/cgf.12077
url: http://doi.wiley.com/10.1111/cgf.12077
|
[6] |
Wichmann A, Kada M. Joint simultaneous reconstruction of regularized building superstructures from low-density LiDAR data using ICP [C]//ISPRS Annals of Photogrammetry,Remote Sensing and Spatial Information Sciences.Prague:ISPRS, 2016: 371-378.
|
[7] |
Yan J X, Jiang W S, Shan J. A global solution to topological reconstruction of building roof models from airborne LiDAR point clouds [C]//ISPRS Annals of Photogrammetry,Remote Sensing and Spatial Information Sciences.Prague:ISPRS, 2016: 379-386.
|
[8] |
Xiong B . Reconstructing and Correcting 3D Building Models Using Roof Topology Graphs[D]. the Netherlands:ITC, 2014.
|
[9] |
Zhou Q Y, Neumann U. 2.5D dual contouring:A robust approach to creating building models from aerial LiDAR point clouds [C]//European Conference on Computer Vision.Heraklion:ECCV, 2010: 115-128.
|
[10] |
龚健雅, 崔婷婷, 单杰 , 等. 利用车载移动测量数据的建筑物立面建模方法[J]. 武汉大学学报(信息科学版), 2015,40(9):1137-1143.
doi: 10.13203/j .whu g is20150173
url: http://d.wanfangdata.com.cn/Periodical/whchkjdxxb201509001
|
[10] |
Gong J Y, Cui T T, Shan J , et al. A survey on facade modeling using LiDAR point clouds and image sequences collected by mobile mapping systems[J]. Geomatics and Information Science of Wuhan University, 2015,40(9):1137-1143.
|
[11] |
杨必胜, 董震, 魏征 , 等. 从车载激光扫描数据中提取复杂建筑物立面的方法[J]. 测绘学报, 2013,42(3):411-417.
url: http://d.wanfangdata.com.cn/Periodical/chxb201303014
|
[11] |
Yang B S, Dong Z, Wei Z , et al. Extracting complex building facades from mobile laser scanning data[J]. Acta Geodaetica et Cartographica Sinica, 2013,42(3):411-417.
|
[12] |
岑子政 . 基于八叉树的车载激光点云数据建筑物立面建模算法研究[D]. 北京:首都师范大学, 2014.
|
[12] |
Cen Z Z . Research on the Building Facade Modeling Algorithm of the Vehicle-mounted Laser-point Cloud Data Based on Octree[D]. Beijing:Capital Normal University, 2014.
|
[13] |
张志超 . 融合机载与地面LIDAR数据的建筑物三维重建研究[D]. 武汉:武汉大学, 2010.
|
[13] |
Zhang Z C . Three-dimensional Reconstruction of Buildings with Airborne and Ground LIDAR Data[D]. Wuhan:Wuhan University, 2010.
|
[14] |
陈焱明 . 基于机载与车载LiDAR数据的建筑物模型多视三维重建研究[D]. 南京:南京大学, 2015.
|
[14] |
Chen Y M . Three-dimensional Multi-view Reconstruction of the Building Model Based on Airborne and Vehicle-mounted LiDAR Data[D]. Nanjing:Nanjing University, 2015.
|
[15] |
Zhang W, Qi J, Wan P , et al. An easy-to-use airborne LiDAR data filtering method based on cloth simulation[J]. Remote Sensing, 2016,8(6):501.
doi: 10.3390/rs8060501
url: http://www.mdpi.com/2072-4292/8/6/501
|
[16] |
Zhou Q Y, Neumann U. Fast and extensible building modeling from airborne LiDAR data [C]//ACM Sigspatial International Symposium on Advances in Geographic Information Systems.Irvine:DBLP, 2008: 7.
|
[17] |
彭认灿, 董箭, 郑义东 , 等. 垂距法与道格拉斯-普克法删除冗余顶点效率的比较[J]. 测绘通报, 2010,56(3):66-67,70.
doi: 10.3969/j.issn.1004-3810.2014.08.033
url: http://d.wanfangdata.com.cn/Periodical/chtb201003022
|
[17] |
Peng R C, Dong J, Zheng Y D , et al. The efficiency comparison of methods between perpendicular distance and Douglas-Peucker in deleting redundant vertexes[J]. Bulletin of Surveying and Mapping, 2010,56(3):66-67,71.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|