Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level

Widl, E.; Agugiaro, G.; Peters-Anders, Jan

doi:10.3390/su13168782

Cited by 7 publications

(3 citation statements)

References 39 publications

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“…However, even if the semantic information is well integrated in such models, their usability in simulations is not straightforward: this kind of linkage is often studied by the actors in the field of 3D modelling and not simulation experts. The method of storage is not necessarily responsible (Widl, Agugiaro, and Peters-Anders 2021). One is proposing to review the way in which the information, recorded in a relational database, is accessed and thus linked to the simulation tools (Yao et al 2018).…”

Section: Role Of the Databasementioning

confidence: 99%

From consistency to flexibility: Handling spatial information schema thanks to a middleware in a 3D city modeling context

Nys

Billen

2022

Transactions in GIS

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Twinning elements of reality gains a growing interest in support of decision‐making, learning, and simulations: a single and shared model should provide a unique integrative basis for managing assets of any replica of the real world. From a technical viewpoint, sharing and opening information requires both an exchange format and a high degree of freedom and flexibility. It should allow an important number of users to manage this information, to modify it, etc. Storing and manipulating spatial information concerning the urban built context currently focuses on ensuring consistency thanks to relational databases and predefined schemas. Following a paradigm shift from a relational database to a NoSQL database, a schema validation middleware is proposed to improve the flexibility of storage by conceding a share of its consistency. The flexibility improvements thus provide users a common basis that is able to evolve all along the lifecycle of their models and applications as required for twinning things. It allows users and their applications to take advantage of new storage features such as common: versioning, partitioning, prioritization, applications profiles, etc. The middleware and their new capabilities are illustrated thanks to the CityJSON encoding and its simplified schema for a document‐oriented database.

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Section: Role Of the Databasementioning

confidence: 99%

From consistency to flexibility: Handling spatial information schema thanks to a middleware in a 3D city modeling context

Nys

Billen

2022

Transactions in GIS

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“…Digitizing urban scenes is an important research problem in computer vision, computer graphics, and photogrammetry communities. Three-dimensional models of urban buildings have become the infrastructure for a variety of real-world applications such as visualization [1], simulation [2][3][4], navigation [5], and entertainment [6]. These applications typically require high-accuracy and compact 3D building models of large-scale urban environments.…”

Section: Introductionmentioning

confidence: 99%

City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

et al. 2022

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We present a fully automatic approach for reconstructing compact 3D building models from large-scale airborne point clouds. A major challenge of urban reconstruction from airborne LiDAR point clouds lies in that the vertical walls are typically missing. Based on the observation that urban buildings typically consist of planar roofs connected with vertical walls to the ground, we propose an approach to infer the vertical walls directly from the data. With the planar segments of both roofs and walls, we hypothesize the faces of the building surface, and the final model is obtained by using an extended hypothesis-and-selection-based polygonal surface reconstruction framework. Specifically, we introduce a new energy term to encourage roof preferences and two additional hard constraints into the optimization step to ensure correct topology and enhance detail recovery. Experiments on various large-scale airborne LiDAR point clouds have demonstrated that the method is superior to the state-of-the-art methods in terms of reconstruction accuracy and robustness. In addition, we have generated a new dataset with our method consisting of the point clouds and 3D models of 20k real-world buildings. We believe this dataset can stimulate research in urban reconstruction from airborne LiDAR point clouds and the use of 3D city models in urban applications.

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“…Digitizing urban scenes is an important research problem in computer vision, computer graphics, and photogrammetry communities. 3D models of urban buildings have become the infrastructure for a variety of real-world applications such as visualization [45], simulation [36,41,48], navigation [8], and entertainment [18]. These applications typically require high-accuracy and compact 3D building models of large-scale urban environments.…”

Section: Introductionmentioning

confidence: 99%

City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

Huang¹,

Stoter²,

Peters³

et al. 2022

Preprint

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We present a fully automatic approach for reconstructing compact 3D building models from large-scale airborne point clouds. A major challenge of urban reconstruction from airborne point clouds lies in that the vertical walls are typically missing. Based on the observation that urban buildings typically consist of planar roofs connected with vertical walls to the ground, we propose an approach to infer the vertical walls directly from the data. With the planar segments of both roofs and walls, we hypothesize the faces of the building surface, and the final model is obtained by using an extended hypothesis-and-selection-based polygonal surface reconstruction framework. Specifically, we introduce a new energy term to encourage roof preferences and two additional hard constraints into the optimization step to ensure correct topology and enhance detail recovery. Experiments on various large-scale airborne point clouds have demonstrated that the method is superior to the stateof-the-art methods in terms of reconstruction accuracy and robustness. In addition, we have generated a new dataset with our method consisting of the point clouds and 3D models of 20k real-world buildings. We believe this dataset can stimulate research in urban reconstruction from airborne point clouds and the use of 3D city models in urban applications.

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Linking Semantic 3D City Models with Domain-Specific Simulation Tools for the Planning and Validation of Energy Applications at District Level

Cited by 7 publications

References 39 publications

From consistency to flexibility: Handling spatial information schema thanks to a middleware in a 3D city modeling context

From consistency to flexibility: Handling spatial information schema thanks to a middleware in a 3D city modeling context

City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

City3D: Large-Scale Building Reconstruction from Airborne LiDAR Point Clouds

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