M. Soilán

发表

AUTOMATIC ROAD SIGN INVENTORY USING MOBILE MAPPING SYSTEMS

Pedro Arias, Joaquín Martínez-Sánchez, Belén Riveiro, 2016 .

Assessment of three methods for multilocus fragment typing of Cryptosporidium parvum from domestic ruminants in north west Spain.

R. Chalmers, M. Soilán, P. Díaz, 2012, Veterinary parasitology.

DEEP LEARNING-BASED ROAD SEGMENTATION OF 3D POINT CLOUDS FOR ASSISTING ROAD ALIGNMENT PARAMETERIZATION

D. González-Aguilera, M. Soilán, H. Tardy, 2022, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

3D POINT CLOUD TO BIM: AUTOMATED APPLICATION TO DEFINE IFC ALIGNMENT AND ROADWAY WIDTH ENTITIES FROM MLS-ACQUIRED LiDAR DATA OF MOUNTAIN ROADS

B. Riveiro, M. Soilán, D. Lamas, 2022, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Point cloud semantic segmentation of complex railway environments using deep learning

B. Riveiro, P. Arias, M. Soilán, 2022, Automation in Construction.

Pavement Crack Detection and Clustering via Region-Growing Algorithm from 3D MLS Point Clouds

P. Arias, M. Soilán, S. M. González-Collazo, 2022, Remote. Sens..

Automatic building accessibility diagnosis from point clouds

J. Balado, Lucía Díaz-Vilariño, Pedro Arias, 2017 .

Evaluation of immunochromatographic test strips for rapid diagnosis of neonatal calf diarrhoea

M. Sanjuán, M. Soilán, E. Yus, 2012 .

Segmentation and classification of road markings using MLS data

Pedro Arias, Belén Riveiro, Joaquín Martínez-Sánchez, 2017 .

Exploiting synergies of mobile mapping sensors and deep learning for traffic sign recognition systems

Belén Riveiro, Juan Antonio Álvarez, Mario Soilán, 2017, Expert Syst. Appl..

Road marking degradation analysis using 3D point cloud data acquired with a low-cost Mobile Mapping System

D. González-Aguilera, D. Hernández-López, S. del Pozo, 2022, Automation in Construction.

Review of Laser Scanning Technologies and Their Applications for Road and Railway Infrastructure Monitoring

Belén Riveiro, Mario Soilán, Carlos Perez-Collazo, 2019, Infrastructures.

Automatic Road Inventory Using a Low-Cost Mobile Mapping System and Based on a Semantic Segmentation Deep Learning Model

D. González-Aguilera, M. Soilán, J. Martín-Jiménez, 2023, Remote Sensing.

Automated detection and decomposition of railway tunnels from Mobile Laser Scanning Datasets

Belén Riveiro, L. M. González-deSantos, Mario Soilán, 2018, Automation in Construction.

Scan-to-BIM for the infrastructure domain: Generation of IFC-compliant models of road infrastructure assets and semantics using 3D point cloud data

Belén Riveiro, Mario Soilán, Andrés Justo, 2021, Automation in Construction.

3D Point Cloud to BIM: Semi-Automated Framework to Define IFC Alignment Entities from MLS-Acquired LiDAR Data of Highway Roads

Belén Riveiro, Mario Soilán, Andrés Justo, 2020, Remote. Sens..

Automated Inspection of Railway Tunnels' Power Line Using LiDAR Point Clouds

Manuel Cabaleiro, Mario Soilán, Ana Sánchez-Rodríguez, 2019, Remote. Sens..

Fully automated methodology for the delineation of railway lanes and the generation of IFC alignment models using 3D point cloud data

Belén Riveiro, Mario Soilán, Andrés Justo, 2021 .

Detection of structural faults in piers of masonry arch bridges through automated processing of laser scanning data

Belén Riveiro, Mario Soilán, A. Sánchez-Rodríguez, 2018 .

Safety assessment on pedestrian crossing environments using MLS data.

Pedro Arias, Belén Riveiro, Mario Soilán, 2018, Accident; analysis and prevention.

Automatic Point Cloud Semantic Segmentation of Complex Railway Environments

Javier Grandio, Belén Riveiro, Mario Soilán, 2021, Remote. Sens..

Automatic extraction of road features in urban environments using dense ALS data

Debra F. Laefer, Linh Truong-Hong, Belén Riveiro, 2018, Int. J. Appl. Earth Obs. Geoinformation.

HBIM for supporting the diagnosis of historical buildings: case study of the Master Gate of San Francisco in Portugal

D. González-Aguilera, L. Sánchez-Aparicio, M. Soilán, 2022, Automation in Construction.

Comparison of heuristic and deep learning-based methods for ground classification from aerial point clouds

Belén Riveiro, Mario Soilán, Jesus Balado Frias, 2020, Int. J. Digit. Earth.

AUTOMATED CALIBRATION OF FEM MODELS USING LIDAR POINT CLOUDS

Manuel Cabaleiro, Belén Riveiro, B. Conde, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

SEMANTIC SEGMENTATION OF POINT CLOUDS WITH POINTNET AND KPCONV ARCHITECTURES APPLIED TO RAILWAY TUNNELS

B. Riveiro, P. Arias, A. Sánchez-Rodríguez, 2020 .

Traffic sign detection in MLS acquired point clouds for geometric and image-based semantic inventory

Pedro Arias, Belén Riveiro, Joaquín Martínez-Sánchez, 2016 .

Automatic Segmentation and Shape-Based Classification of Retro-Reflective Traffic Signs from Mobile LiDAR Data

Pedro Arias, Belén Riveiro, Lucía Díaz-Vilariño, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

APPLICATION OF MLS DATA TO THE ASSESSMENT OF SAFETY-RELATED FEATURES IN THE SURROUNDING AREA OF AUTOMATICALLY DETECTED PEDESTRIAN CROSSINGS

Belén Riveiro, L. M. González-deSantos, Mario Soilán, 2018, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

POINTNET FOR THE AUTOMATIC CLASSIFICATION OF AERIAL POINT CLOUDS

Belén Riveiro, Mario Soilán, Roderik Lindenbergh, 2019, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

Assessment of three methods for multilocus fragment typing of Cryptosporidium parvum from domestic ruminants in north west Spain.

R. Chalmers, M. Soilán, P. Díaz, 2012, Veterinary parasitology.

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

M. Soilán, A. Justo, Daniel Lamas, 2024, Automation in Construction.