Searched for: contributor%3A%22Stoter%2C+J+%28editor%29%22
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Labetski, A. (author), van Gerwen, Stefan (author), Tamminga, G.F. (author), Ledoux, H. (author), Stoter, J.E. (author)
CityGML, an OGC standard, is an open data model for virtual 3D city models and includes buildings, roads, terrain, water bodies, etc. While many modules are well-developed (eg buildings, bridges, tunnels), the transportation model is, based on our consultations with various government agencies and municipalities, not sufficient for most...
conference paper 2018
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Vitalis, S. (author), Arroyo Ohori, G.A.K. (author), Stoter, J.E. (author)
3D city models are being increasingly adopted by organisations in order to serve application needs related to urban areas. In order to fulfil the different requirements of various applications, the concept of Level of Detail (LoD) has been incorporated in 3D city models specifications, such as CityGML. Therefore, datasets of different LoDs are...
conference paper 2018
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Ellul, Claire (author), Stoter, J.E. (author), Harrie, Lars (author), Shariat, Masoome (author), Behan, Avril (author), Pla, Maria (author)
In both the Geographic Information (Geo) and Building Information Modelling (BIM) domains, it is widely acknowledged that the integration of data from both domains is beneficial and a crucial step in facing the multi-disciplinary challenges of our built environment. The result of this integration – which can broadly be termed GeoBIM –could...
conference paper 2018
document
Sulzer, Raphael (author), Nourian, Pirouz (author), Palmieri, M. (author), van Gemert, J.C. (author)
This paper investigates automatic prediction of seismic building structural types described by the Global Earthquake Model (GEM) taxonomy, by combining remote sensing, cadastral and inspection data in a supervised machine learning approach. Our focus lies on the extraction of detailed geometric information from a point cloud gained by aerial...
conference paper 2018
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