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Instance and semantic segmentation of point clouds of large metallic truss bridges
Abstract Several methods have been developed for the semantic segmentation of reinforced concrete bridges, however, there is a gap for truss bridges. Therefore, in this study a state-of-the-art methodology for the instance and semantic segmentation of point clouds of truss bridges for modelling purposes is presented, which, to the best of the authors' knowledge, is the first such methodology. This algorithm segments each truss element and classifies them as a chord, diagonal, vertical post, interior lateral brace, bottom lateral brace, or strut. The algorithm consists of a sequence of methods, including principal component analysis or clustering, that analyse each point and its neighbours in the point cloud. Case studies show that by adjusting only six manually measured parameters, the algorithm can automatically segment a truss bridge point cloud.
Highlights First automated truss bridge point cloud segmentation methodology. Tested in 2 case studies, deals with occlusions. Evaluated on a complex and different truss bridge typology. Truss bridge point clouds segmentation for modelling purposes. Code and data available.
Instance and semantic segmentation of point clouds of large metallic truss bridges
Abstract Several methods have been developed for the semantic segmentation of reinforced concrete bridges, however, there is a gap for truss bridges. Therefore, in this study a state-of-the-art methodology for the instance and semantic segmentation of point clouds of truss bridges for modelling purposes is presented, which, to the best of the authors' knowledge, is the first such methodology. This algorithm segments each truss element and classifies them as a chord, diagonal, vertical post, interior lateral brace, bottom lateral brace, or strut. The algorithm consists of a sequence of methods, including principal component analysis or clustering, that analyse each point and its neighbours in the point cloud. Case studies show that by adjusting only six manually measured parameters, the algorithm can automatically segment a truss bridge point cloud.
Highlights First automated truss bridge point cloud segmentation methodology. Tested in 2 case studies, deals with occlusions. Evaluated on a complex and different truss bridge typology. Truss bridge point clouds segmentation for modelling purposes. Code and data available.
Instance and semantic segmentation of point clouds of large metallic truss bridges
Lamas, Daniel (author) / Justo, Andrés (author) / Soilán, Mario (author) / Cabaleiro, Manuel (author) / Riveiro, Belén (author)
2023-04-05
Article (Journal)
Electronic Resource
English
Point surfel transformer network for semantic segmentation of large-scale ALS point clouds
| TIBKAT | 2022
| TIBKAT | 1990