Smart City Gnosys

Smart city article details

Title	Real-Time Point Cloud Visualization For Sustainable Spatial Digital Twins
ID_Doc	44424
Authors	Kase T.; Hasegawa K.; Watanabe K.; Miyoshi T.; Yamazaki T.
Year	2025
Published	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
DOI	http://dx.doi.org/10.1109/ICCE63647.2025.10930115
Abstract	City-scale spatial digital twins require extensive spatial information, such as city-scale point clouds, to remain updated. This study develops a 3D mobile crowdsensing system in which participants collect 3D point cloud data of urban spaces using LiDAR-equipped mobile devices. This system aggregates the collected partial point clouds on a server to merge them into the city digital twin. In such environments, city-scale point clouds are expected to support various smart city tasks. Therefore, diverse types of visualization are necessary for analysis and validation, including task examination, real-time system behavior verification, and crowdsensing system tracking. In this paper, we present a web-based, real-time point cloud visualization mechanism designed to offer tailored views for different use cases. © 2025 IEEE.
Author Keywords	digital twin; LiDAR; mobile crowdsensing; Point cloud; Smart city; visualization

Similar Articles

Id	Similarity	Authors	Title	Published
42943	0.942	Hasegawa K.; Kase T.; Watanabe K.; Miyoshi T.; Yamazaki T.	Preliminary Study On Dynamic Updates Of Spatial Digital Twins Via 3D Mobile Crowdsensing	Digest of Technical Papers - IEEE International Conference on Consumer Electronics (2025)
42928	0.936	Watanabe K.; Miyoshi T.; Yamazaki T.	Preliminary Experiment On Point Cloud Collection Through 3D Mobile Crowdsensing	Digest of Technical Papers - IEEE International Conference on Consumer Electronics (2025)
15733	0.876	Seto T.; Sekimoto Y.; Asahi K.; Endo T.	Constructing A Digital City On A Web-3D Platform: Simultaneous And Consistent Generation Of Metadata And Tile Data From A Multi-Source Raw Dataset	Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities, ARIC 2020 (2020)
25473	0.873	Ariff S.A.M.; Azri S.; Ujang U.; Nasir A.A.M.; Fuad N.A.; Karim H.	Exploratory Study Of 3D Point Cloud Triangulation For Smart City Modelling And Visualization	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 44, 4/W3 (2020)
4864	0.868	Carthen C.; Zaremehrjardi A.; Le V.; Cardillo C.; Strachan S.; Tavakkoli A.; Dascalu S.M.; Harris F.C.	A Spatial Data Pipeline For Streaming Smart City Data	2024 IEEE/ACIS 22nd International Conference on Software Engineering Research, Management and Applications, SERA 2024 - Proceedings (2024)
3536	0.868	Carthen, CD; Zaremehrjardi, A; Le, VD; Cardillo, CG; Strachan, S; Tavakkoli, A; Harris, FC Jr; Dascalu, SM	A Novel Spatial Data Pipeline For Streaming Smart City Data	INTERNATIONAL JOURNAL OF SOFTWARE INNOVATION, 12, 1 (2024)
19681	0.866	Nokkaew P.; Leksansern A.; Jindasee P.; Kamonsantiroj S.; Srisomboon K.; Sutthisangiam N.	Development Of Digital Twin Road Infrastructure For Smart City Modeling	Lecture Notes on Data Engineering and Communications Technologies, 259 (2025)
59331	0.862	Yang B.; Dong Z.; Liang F.; Mi X.	Ubiquitous Point Cloud: Theory, Model, And Applications	Ubiquitous Point Cloud: Theory, Model, and Applications (2024)
15821	0.858	Huang H.	Construction Of Multi-Resolution Spatial Data Organization For Ultralarge-Scale 3D Laser Point Cloud	Sensors and Materials, 35, 2 (2023)
15878	0.858	Virtanen J.-P.; Alander J.; Ponto H.; Santala V.; Martijnse-Hartikka R.; Andra A.; Sillander T.	Contemporary Development Directions For Urban Digital Twins	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 48, 4/W10-2024 (2024)