Summary
In the ERC project Urban Modelling in higher dimensions (UMnD) we developed a solution for detailed 3D Building models Automatically Generated for very large areas (3DBAG). This prototype was applied to generate detailed 3D models for all 10 million buildings in The Netherlands. Such a digital twin of built objects provides a valuable data source and simulation basis for professionals working in planning, design, construction, energy, real estate, as well as for environmental impact studies on noise, floodings, wind flows, air quality and urban heat islands. 3D models are already used in specific domains, but it takes a lot of effort to generate suitable 3D building models for a given application due to the required manual editing. Therefore, detailed 3D models are rarely available for large areas (regions or nations). The solution lies in the unique method we developed, which enables to generate high-quality, easy-to-use 3D building models fully automatically at national scale to be used without any technical or legal restriction. This will be a breakthrough for the use of 3D data in current and new applications. With the beta-release of the Dutch 3DBAG and the subsequent wide adoption and application of it by industry and government, the effectiveness of 3DBAG has been demonstrated. This PoC aims to further advance 3DBAG from the current TRL6 to TRL9. Firstly, we will make 3DBAG technically sustainable by addressing issues to achieve even higher adoption, supporting more height data sources as available in other countries and to prepare for the maintainability and performance of our method in an operational setting. Secondly, we will explore how to best ensure the economical sustainability of 3DBAG by clarifying the IPR and licencing strategy and assessing the market potentials (extending our current relations), the users’ interest to pay for value added services and possible international expansions.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101068452 |
| Start date: | 01-09-2022 |
| End date: | 29-02-2024 |
| Total budget - Public funding: | - 150 000,00 Euro |
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Original description
In the ERC project Urban Modelling in higher dimensions (UMnD) we developed a solution for detailed 3D Building models Automatically Generated for very large areas (3DBAG). This prototype was applied to generate detailed 3D models for all 10 million buildings in The Netherlands. Such a digital twin of built objects provides a valuable data source and simulation basis for professionals working in planning, design, construction, energy, real estate, as well as for environmental impact studies on noise, floodings, wind flows, air quality and urban heat islands. 3D models are already used in specific domains, but it takes a lot of effort to generate suitable 3D building models for a given application due to the required manual editing. Therefore, detailed 3D models are rarely available for large areas (regions or nations). The solution lies in the unique method we developed, which enables to generate high-quality, easy-to-use 3D building models fully automatically at national scale to be used without any technical or legal restriction. This will be a breakthrough for the use of 3D data in current and new applications. With the beta-release of the Dutch 3DBAG and the subsequent wide adoption and application of it by industry and government, the effectiveness of 3DBAG has been demonstrated. This PoC aims to further advance 3DBAG from the current TRL6 to TRL9. Firstly, we will make 3DBAG technically sustainable by addressing issues to achieve even higher adoption, supporting more height data sources as available in other countries and to prepare for the maintainability and performance of our method in an operational setting. Secondly, we will explore how to best ensure the economical sustainability of 3DBAG by clarifying the IPR and licencing strategy and assessing the market potentials (extending our current relations), the users’ interest to pay for value added services and possible international expansions.Status
SIGNEDCall topic
ERC-2022-POC1Update Date
09-02-2023
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