On the Combination of Dynamic Features into 3D City Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43973424" target="_blank" >RIV/49777513:23520/24:43973424 - isvavai.cz</a>
Result on the web
<a href="https://iccgis2024.cartography-gis.com/papers/9ICCGIS-Proceedings_Paper%20(38).pdf" target="_blank" >https://iccgis2024.cartography-gis.com/papers/9ICCGIS-Proceedings_Paper%20(38).pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On the Combination of Dynamic Features into 3D City Models
Original language description
The rapidly developing field of digital twins for different domains demands not only the expert work of people but also data and their incorporation into existing models of reality. Another issue is adding changing objects in time and space – dynamic features, into the models of interest. This paper presents a combination of dynamic features related to traffic and pedestrians and a static 3D city model and visualisation of their combination in a user-friendly form. Dynamic features representing people and cars are derived by neural image recognition from a static camera's short video recording of a particular area. Not only recognition of objects of interest but also their transformation from image coordinates into coordinates in a geographic coordinate system was performed to visualise such changing objects in a 3D city model of a particular study area in the city of Pilsen, Czech Republic. Furthermore, such features were visualised in a web map application presenting dynamically changing objects in space and time representing people and cars, together with static 3D models of surrounding buildings. This work can provide valuable information for further exploitation of data about spatiotemporal aspects of mobility in cities and a simple yet effective representation of dynamic features within 3D cartographic representation accessible via a web page.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/CK03000179" target="_blank" >CK03000179: Dynamic digital street model for the usage of autonomous mobility in Pilsen</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
9th International Conference on Cartography and GIS Proceedings
ISBN
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ISSN
1314-0604
e-ISSN
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Number of pages
9
Pages from-to
356-364
Publisher name
Bulgarian Cartographic Association
Place of publication
Sofia
Event location
Nessebar, Bulgaria
Event date
Jun 16, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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