Smart City Gnosys

Smart city article details

Title	Automatic 3D Buildings Compact Reconstruction From Lidar Point Clouds
ID_Doc	11278
Authors	Nys G.-A.; Billen R.; Poux F.
Year	2020
Published	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 43, B2
DOI	http://dx.doi.org/10.5194/isprs-archives-XLIII-B2-2020-473-2020
Abstract	Point clouds generated from aerial LiDAR and photogrammetric techniques are great ways to obtain valuable spatial insights over large scale. However, their nature hinders the direct extraction and sharing of underlying information. The generation of consistent large-scale 3D city models from this real-world data is a major challenge. Specifically, the integration in workflows usable by decision-making scenarios demands that the data is structured, rich and exchangeable. CityGML permits new advances in terms of interoperable endeavour to use city models in a collaborative way. Efforts have led to render good-looking digital twins of cities but few of them take into account their potential use in finite elements simulations (wind, floods, heat radiation model, etc.). In this paper, we target the automatic reconstruction of consistent 3D city buildings highlighting closed solids, coherent surface junctions, perfect snapping of vertices, etc. It specifically investigates the topological and geometrical consistency of generated models from aerial LiDAR point cloud, formatted following the CityJSON specifications. These models are then usable to store relevant information and provides geometries usable within complex computations such as computational fluid dynamics, free of local inconsistencies (e.g. holes and unclosed solids). © 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.
Author Keywords	3D City Model; CityJSON; LiDAR; Point Cloud; Smart Cities

Similar Articles

Id	Similarity	Authors	Title	Published
27797	0.908	Ortega S.; Santana J.M.; Wendel J.; Trujillo A.; Murshed S.M.	Generating 3D City Models From Open Lidar Point Clouds: Advancing Towards Smart City Applications	Lecture Notes in Intelligent Transportation and Infrastructure, Part F1384 (2021)
13123	0.903	Wang R.; Huang S.; Yang H.	Building3D: An Urban-Scale Dataset And Benchmarks For Learning Roof Structures From Point Clouds	Proceedings of the IEEE International Conference on Computer Vision (2023)
15252	0.898	Zhang W.; Chen J.; Tan G.	Complex Roof Structure Reconstruction By 3D Primitive Fitting From Point Clouds; [基于 3D 基元拟合的复杂屋顶点云三维重建]	Journal of Geo-Information Science, 25, 8 (2023)
27950	0.89	Li Z.; Xu B.; Shan J.	Geometric Object Based Building Reconstruction From Satellite Imagery Derived Point Clouds	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42, 2/W13 (2019)
42067	0.881	Namouchi S.; Vallet B.; Farah I.R.; Ismail H.	Piecewise Horizontal 3D Roof Reconstruction From Aerial Lidar	International Geoscience and Remote Sensing Symposium (IGARSS) (2019)
3267	0.872	Wu Y.; Xue F.; Li M.; Chen S.-H.	A Novel Building Section Skeleton For Compact 3D Reconstruction From Point Clouds: A Study Of High-Density Urban Scenes	ISPRS Journal of Photogrammetry and Remote Sensing, 209 (2024)
7186	0.869	Badenko V.; Samsonova V.; Volgin D.; Lipatova A.; Lytkin S.	Airborne Lidar Data Processing For Smart City Modelling	Lecture Notes in Civil Engineering, 70 (2020)
1779	0.867	Zuo Z.; Li Y.	A Framework For Reconstructing Building Parametric Models With Hierarchical Relationships From Point Clouds	International Journal of Applied Earth Observation and Geoinformation, 119 (2023)
46503	0.867	Sun C.; Che G.; Dong X.; Zou R.; Feng L.; Ding X.	Review On Algorithm For Fusion Of Oblique Data And Radar Point Cloud	Lecture Notes in Electrical Engineering, 1033 (2024)
13121	0.867	Jovanovic, D; Milovanov, S; Ruskovski, I; Govedarica, M; Sladic, D; Radulovic, A; Pajic, V	Building Virtual 3D City Model For Smart Cities Applications: A Case Study On Campus Area Of The University Of Novi Sad	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 9, 8 (2020)