Establishing Semantic 3D City Models by GRextADE: the Case of the Greece

Liamis, Theodoros; Mimis, Angelos

doi:10.1007/s41651-022-00114-0

Cited by 11 publications

(4 citation statements)

References 37 publications

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“…The GRextADE system, developed by Theodoros et al [ 45 ] in 2022, was designed to address the specific requirements of 3D modeling within the urban landscape of Greece. It aims to tackle challenges arising from an incomplete cadastre and the absence of infrastructure for effective data management, particularly in facilitating the 3D visualization of urban data.…”

Section: Methodsmentioning

confidence: 99%

Digital Twin Smart City: Integrating IFC and CityGML with Semantic Graph for Advanced 3D City Model Visualization

Lam,

Gu,

Lam

et al. 2024

Sensors

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The growing interest in building data management, especially the building information model (BIM), has significantly influenced urban management, materials supply chain analysis, documentation, and storage. However, the integration of BIM into 3D GIS tools is becoming more common, showing progress beyond the traditional problem. To address this, this study proposes data transformation methods involving mapping between three domains: industry foundation classes (IFC), city geometry markup language (CityGML), and web ontology framework (OWL)/resource description framework (RDF). Initially, IFC data are converted to CityGML format using the feature manipulation engine (FME) at CityGML standard’s levels of detail 4 (LOD4) to enhance BIM data interoperability. Subsequently, CityGML is converted to the OWL/RDF diagram format to validate the proposed BIM conversion process. To ensure integration between BIM and GIS, geometric data and information are visualized through Cesium Ion web services and Unreal Engine. Additionally, an RDF graph is applied to analyze the association between the semantic mapping of the CityGML standard, with Neo4j (a graph database management system) utilized for visualization. The study’s results demonstrate that the proposed data transformation methods significantly improve the interoperability and visualization of 3D city models, facilitating better urban management and planning.

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Section: Methodsmentioning

confidence: 99%

Digital Twin Smart City: Integrating IFC and CityGML with Semantic Graph for Advanced 3D City Model Visualization

Lam,

Gu,

Lam

et al. 2024

Sensors

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“…Visualisation was performed with three 3D visualisers: FME Inspector by Safe Software, the open-source FZK, and Google Earth Pro. Finally, they imported the data into 3DCityDB using the Importer/Exporter tool and evaluated their extension by testing it with various amounts of data and comparing the processing time and hardware [113]. However, the model was limited to LOD1 and was created by extruding 2D maps rather than utilising 3D data.…”

Section: Designing Databases/physical Implementationmentioning

confidence: 99%

3D Cadastral Database Systems—A Systematic Literature Review

Shahidinejad,

Kalantari,

Rajabifard

2024

IJGI

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Cadastral databases have been used for over 20 years, but most contain 2D data. The increasing presence of high-rise buildings with modern architecture complicates the process of determining property rights, restrictions, and responsibilities. It is, therefore, necessary to develop an efficient system for storing and managing multidimensional cadastral data. While there have been attempts to develop 3D cadastral database schemas, a comprehensive solution that meets all the requirements for effective data storage, manipulation, and retrieval has not yet been presented. This study aims to analyse the literature on 3D cadastral databases to identify approaches and technologies for storing and managing these data. Based on a systematic literature review integrated with a snowballing methodology, 108 documents were identified. During the analysis of the related documents, different parameters were extracted, including the conceptual data model, query type, and evaluation metrics, as well as the database management system (DBMS) used and technologies for visualisation, data preparation, data transformation, and the ETL (extract, transform, and load) process. The study emphasised the importance of adhering to database design principles and identified challenges associated with conceptual design, DBMS selection, logical design, and physical design. The study results provide insights for selecting the appropriate standards, technologies, and DBMSs for designing a 3D cadastral database system.

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“…It is because of the real-time three-dimensional spatial representation of virtual reality technology, the humancomputer interactive operating environment and the immersive feeling it brings to people that it plays a pivotal role in simulation and training in the military and aerospace fields [5]. In recent years, with the development of computer hardware and software technology as well as people increasingly recognizing its important role, virtual technology in all walks of life has been developed to varying degrees and increasingly shows broad application prospects [6][7]. Virtual battlefields, virtual cities, digital cities, and even "digital earth" are all applications of virtual reality technology.…”

Section: Introductionmentioning

confidence: 99%

Research and Application of Urban 3D Modeling Technology in Virtual Reality Scenes

Ji,

Bao,

Zhang

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, an automatic building extraction process based on MVS point clouds is proposed to automatically extract building point clouds from urban MVS dense point clouds of complex scenes by projection, morphological expansion and contour extraction techniques. Aiming at the deficiency of Poisson surface reconstruction, this paper proposes a surface model optimization method based on RANSAC fast fitting. The method generates the optimized surface model through the filter denoising process and chunked RANSAC fast fitting. Finally, a workflow for the 3D reconstruction of urban buildings based on the MVS point cloud is proposed. In the analysis for the urban 3D modeling technique, the average error of the model after reconstruction is only 0.731%, and the measurement errors in the three-dimensional directions of length, width, and height are less than 5 cm. and the time consumed before and after the optimized method in this paper is reduced by an average of 3.09 s. Therefore, this study provides a simple and efficient method for the automatic extraction and 3D reconstruction of urban buildings.

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Establishing Semantic 3D City Models by GRextADE: the Case of the Greece

Cited by 11 publications

References 37 publications

Digital Twin Smart City: Integrating IFC and CityGML with Semantic Graph for Advanced 3D City Model Visualization

Digital Twin Smart City: Integrating IFC and CityGML with Semantic Graph for Advanced 3D City Model Visualization

3D Cadastral Database Systems—A Systematic Literature Review

Research and Application of Urban 3D Modeling Technology in Virtual Reality Scenes

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