This project falls under the initiative of the Brussels– Capital Region to create “digital twins,” or virtual representations of real-world objects, to manage, visualize, and implement data for a smarter, functioning city. Within this initiative, another project with FARI and the Machine Learning Group (MLG) of Université Libre de Bruxelles (ULB) on modelling traffic is also being developed.  

The Building Modelization project is a significant step towards leveraging technology for urban planning and architectural assessment in Brussels. By automating the detection of building features and validating models with ground truth data, this collaboration promises to enhance the efficiency and accuracy of urban data management. As part of the Brussels– Capital Region’s digital twin initiative, this project, along with the parallel traffic modeling effort, underscores the potential of advanced AI and deep learning techniques to transform urban environments and make way for future smart cities.