Key research themes
1. How can integration of BIM and geospatial models improve semantic and geometric representation of 3D urban environments?
This research theme investigates methods to unify Building Information Models (BIM), represented via Industry Foundation Classes (IFC), with geospatial city models such as CityGML. The major challenge addressed is the semantic and geometric interoperability between indoor architectural detail-focused BIM and outdoor mapping-focused GIS data, aiming to create rich, consistent 3D urban models that serve both detailed architectural tasks and broader urban analyses. This integration is critical for advanced urban planning, facility management, and emergency preparedness applications requiring multiscale, multifaceted spatial data.
2. What are the advances and challenges in automated 3D urban reconstruction using remote sensing and photogrammetry technologies?
This theme explores recent methods for automated or semi-automated 3D reconstruction of urban environments using data from airborne LiDAR, oblique aerial imagery, UAV photogrammetry, and satellite stereo imagery. Emphasis is on improving accuracy, level of detail (LoD), and geometric regularization, balancing automation with model fidelity. Challenges include complex urban morphologies, occlusions, incomplete data, and diverse building typologies, with a focus on enhancing rooftop and facade reconstruction, terrain modeling, and data fusion techniques.
3. How are UAV and LiDAR technologies transforming 3D urban modeling and digital twin applications?
This theme examines the role of emerging UAV and LiDAR remote sensing technologies in rapidly acquiring geospatial data for high-resolution 3D urban modeling. Studies focus on cost-effective city-scale data capture, point cloud semantic segmentation, and real-time simulation integration for applications including urban planning, heritage management, and autonomous vehicle navigation. Challenges revolve around data processing, semantic enrichment, integration with existing city models, and the utilization of these enriched models in smart city and marketing contexts.