ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 161-166, 2017
https://doi.org/10.5194/isprs-annals-IV-4-W4-161-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
13 Nov 2017
3D MODELLING AND VISUALIZATION BASED ON THE UNITY GAME ENGINE – ADVANTAGES AND CHALLENGES
I. Buyuksalih1, S. Bayburt1, G. Buyuksalih1, A. P. Baskaraca1, H. Karim2, and A. A. Rahman2 1Bogazici Insaat Musavirlik A.S., Eski TUYAP Binasi No. 50 Beyoglu, Istanbul, Turkey
23D GIS Research Group, Faculty of Geoinformation and Real Estate, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia
Keywords: 3D city modelling, 3D visualization, and Unity 3D game engine Abstract. 3D City modelling is increasingly popular and becoming valuable tools in managing big cities. Urban and energy planning, landscape, noise-sewage modelling, underground mapping and navigation are among the applications/fields which really depend on 3D modelling for their effectiveness operations. Several research areas and implementation projects had been carried out to provide the most reliable 3D data format for sharing and functionalities as well as visualization platform and analysis. For instance, BIMTAS company has recently completed a project to estimate potential solar energy on 3D buildings for the whole Istanbul and now focussing on 3D utility underground mapping for a pilot case study. The research and implementation standard on 3D City Model domain (3D data sharing and visualization schema) is based on CityGML schema version 2.0. However, there are some limitations and issues in implementation phase for large dataset. Most of the limitations were due to the visualization, database integration and analysis platform (Unity3D game engine) as highlighted in this paper.
Conference paper (PDF, 1449 KB)


Citation: Buyuksalih, I., Bayburt, S., Buyuksalih, G., Baskaraca, A. P., Karim, H., and Rahman, A. A.: 3D MODELLING AND VISUALIZATION BASED ON THE UNITY GAME ENGINE – ADVANTAGES AND CHALLENGES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 161-166, https://doi.org/10.5194/isprs-annals-IV-4-W4-161-2017, 2017.

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