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Smart city article details

Title	Semantic Segmentation Of Fused Mobile Mapping Data
ID_Doc	48256
Authors	Villinger G.; Schmitt A.; Reiterer A.
Year	2024
Published	Proceedings of SPIE - The International Society for Optical Engineering, 12999
DOI	http://dx.doi.org/10.1117/12.3024054
Abstract	To create a digital twin of a city, all relevant objects, within the city, must be mapped and labelled accordingly. In order to cover the entire city, vehicles and aircraft are used for the mapping task. While airborne mapping can cover areas that are impossible for a vehicle to reach, terrestrial mapping provides a different perspective containing further necessary information about the city. The two datasets are registered using reference points, fused together, and processed so that semantic segmentation can be performed by a neural network. The segmented point cloud can then be exported to create a 3D digital twin of the city. This work presents a process for the construction of a 3D digital city model from airborne and terrestrial mapping data. © 2024 SPIE.
Author Keywords	Data fusion; digital city twin; mobile mapping; semantic segmentation

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