2024
- Bestandserfassung mithilfe von Computer Vision Methoden – 18. In: Künstliche Intelligenz im Bauwesen. Springer Fachmedien Wiesbaden, 2024, 309-326 mehr…
- From Purpose to Technology: A Requirements-Driven Approach to Designing Digital Twin Implementations – 5. In: Digital Twins in Construction and the Built Environment. American Society of Civil Engineers, 2024, 91-130 mehr…
2023
- From enriched point cloud to structural and MEP models: An automated approach to create semantic-geometric models for industrial facilities. Proc. of the ASCE International Conference on Computing in Civil Engineering, 2023 mehr…
- 3D deep-learning-enhanced void-growing approach in creating geometric digital twins of buildings. Smart Infrastructure and Construction 176 (1), 2023, 24-40 mehr…
2022
- MV-KPConv: Multi-view KPConv For Enhanced 3D Point Cloud Semantic Segmentation Using Multi-Modal Fusion With 2D Image. European Conference on Product and Process Modeling 2022, 2022 mehr…
- Enriching geometric digital twins of buildings with small objects by fusing laser scanning and AI-based image recognition. Automation in Construction 140, 2022, 104375 mehr…
- Enriching Point Features to Improve Semantic Segmentation of Point Clouds. Proceedings of 33. Forum Bauinformatik, 2022 mehr…
- Automatic Creation and Enrichment of 3D Models for Pipe Systems by Co-registration of Laser-scanned Point Clouds and Photos. Proceedings of the 2022 European Conference on Computing in Construction, 2022 mehr…
2021
- Towards applicable Scan-to-BIM and Scan-to-Floorplan: An end-to-end experiment. Proc. of the 32th Forum Bauinformatik, 2021 mehr…
- Void-growing: a novel Scan-to-BIM method for manhattan world buildings from point cloud. Proceedings of the 2021 European Conference on Computing in Construction, 2021 mehr…
2020
- Built Environment Digital Twinning. Technische Universität München, 2020, mehr…