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Title	Preliminary Experiment On Point Cloud Collection Through 3D Mobile Crowdsensing
ID_Doc	42928
Authors	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/ICCE63647.2025.10929889
Abstract	The utilization of digital twins is highly anticipated for the realization of smart cities, enabling efficient urban management using the internet of things (IoT) and artificial intelligence (AI). However, constructing and maintaining spatial digital twins requires large amounts of spatial information obtained using light detection and ranging (LiDAR). In this study, we develop a mobile crowdsensing system, in which participants capture partial point cloud with various sensing information of urban spaces. We conduct experiments using the proposed system to capture point cloud data and examine its characteristics to verify the effectiveness of real-world sensing. Additionally, we evaluate the performance of removing unreliable points from the captured point cloud using associated sensing information to enhance data quality. © 2025 IEEE.
Author Keywords	Digital twin; LiDAR; Mobile crowdsensing; Point cloud; Smart city

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