Daniel Lamas
- (2024): Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models. In: Automation in Construction, v. 158 (February 2024).
- (2023): Multimodal deep learning for point cloud panoptic segmentation of railway environments. In: Automation in Construction, v. 150 (June 2023).
- (2023): Instance and semantic segmentation of point clouds of large metallic truss bridges. In: Automation in Construction, v. 151 (July 2023).
- (2023): Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds. In: Automation in Construction, v. 149 (May 2023).
Structurae cooperates with
