Browsing by author "Lamas Novoa, Daniel"

doctoralThesis
Enxeñaría dos materiais, mecánica aplicada e construción
Programa de Doutoramento en Xeotecnoloxías Aplicadas á Construción, Enerxía e Industria (RD 99/2011)

Automatic point cloud semantic segmentation of complex railway environments

Lamas Novoa, Daniel

; Soilán Rodríguez, Mario

; Grandio Gonzalez, Javier

; Riveiro Rodríguez, Belén

article
Enxeñaría dos recursos naturais e medio ambiente

Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds

Justo Dominguez, Andrés

; Lamas Novoa, Daniel

; Sánchez Rodríguez, Ana

; Soilán Rodríguez, Mario

; Riveiro Rodríguez, Belén

article
Enxeñaría dos materiais, mecánica aplicada e construción

Instance and semantic segmentation of point clouds of large metallic truss bridges

Lamas Novoa, Daniel

; Justo Dominguez, Andrés

; Soilán Rodríguez, Mario

; Cabaleiro Núñez, Manuel

; Riveiro Rodríguez, Belén

article
Enxeñaría dos materiais, mecánica aplicada e construción

Multimodal deep learning for point cloud panoptic segmentation of railway environments

Grandio Gonzalez, Javier

; Riveiro Rodríguez, Belén

; Lamas Novoa, Daniel

; Arias Sánchez, Pedro

article
Enxeñaría dos materiais, mecánica aplicada e construción

Browsing by author "Lamas Novoa, Daniel"

3D point cloud data processing and infrastructure information models: methods and findings from safeway project ﻿

3D point cloud to bim: automated application to define IFC alignment and roadway width entities from MLS-Acquired LiDAR data of mountain roads ﻿

Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models ﻿

Automated segmentation of in-service infrastructure datasets acquired using laser scanning ﻿

Automatic point cloud semantic segmentation of complex railway environments ﻿

Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds ﻿

Instance and semantic segmentation of point clouds of large metallic truss bridges ﻿

Multimodal deep learning for point cloud panoptic segmentation of railway environments ﻿

El Repositorio Institucional de la Universidade de Vigo Investigo se difunde en:

3D point cloud data processing and infrastructure information models: methods and findings from safeway project

3D point cloud to bim: automated application to define IFC alignment and roadway width entities from MLS-Acquired LiDAR data of mountain roads

Automated production of synthetic point clouds of truss bridges for semantic and instance segmentation using deep learning models

Automated segmentation of in-service infrastructure datasets acquired using laser scanning

Automatic point cloud semantic segmentation of complex railway environments

Generating IFC-compliant models and structural graphs of truss bridges from dense point clouds

Instance and semantic segmentation of point clouds of large metallic truss bridges

Multimodal deep learning for point cloud panoptic segmentation of railway environments