| Title |
A Photorealistic 3D City Modeling Framework for Smart City Digital Twin |
| ID_Doc |
45660 |
| Authors |
Adreani, L; Colombo, C; Fanfani, M; Nesi, P; Pantaleo, G; Pisanu, R |
| Title |
A Photorealistic 3D City Modeling Framework for Smart City Digital Twin |
| Year |
2022 |
| Published |
|
| DOI |
10.1109/SMARTCOMP55677.2022.00071 |
| Abstract |
In the context of Smart Cities digital transformation, the field of 3D city modelling has attracted a growing interest for representing the city digital twin. This paper presents a method for producing a 3D city model with photorealistic rooftop textures extracted from aerial images, as well as the integration of the 3D city model into an open-source Smart City framework. The proposed solution provides a smart visualization of 3D city entities integrated with a large variety of Smart City data (coming, for instance, from IoT Devices which generate time-series data, heatmaps, geometries and shapes related to traffic flows, bus routes, cycling paths etc.). The proposed method for rooftop detection and alignment follows a deep learning approach based on U-Net architecture, and it has been validated against a manually created ground-truth of 50 buildings scattered uniformly on the covered area. The solution is implemented in the open-source Snap4City Smart City platform. |
| Author Keywords |
3D City model; Photorealistic texture; digital twin; Smart City applications |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000853867900055 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Theory & Methods |
| Research Area |
Computer Science |
| PDF |
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