Automatic Segmentation and Shape-Based Classification of Retro-Reflective Traffic Signs from Mobile LiDAR Data. - Belén Riveiro; Lucía Díaz-Vilariño; Borja Conde-Carnero; Mario Soilán; Pedro Arias (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Exploiting synergies of mobile mapping sensors and deep learning for traffic sign recognition systems. - Álvaro Arcos García; Mario Soilán; Juan Antonio Álvarez-García; Belén Riveiro (Expert Syst. Appl., 2017)

Automatic extraction of road features in urban environments using dense ALS data. - Mario Soilán; Linh Truong-Hong; Belén Riveiro; Debra F. Laefer (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Automatic Parametrization and Shadow Analysis of Roofs in Urban Areas from ALS Point Clouds with Solar Energy Purposes. - Mario Soilán; Belén Riveiro; Patricia Liñares; Marta Padín-Beltrán (ISPRS Int. J. Geo Inf., 2018)

Automatic Parametrization of Urban Areas Using ALS Data: The Case Study of Santiago de Compostela. - Mario Soilán; Belén Riveiro; Patricia Liñares; Andrea Pérez-Rivas (ISPRS Int. J. Geo Inf., 2018)

Automated Inspection of Railway Tunnels' Power Line Using LiDAR Point Clouds. - Ana Sánchez-Rodríguez; Mario Soilán; Manuel Cabaleiro; Pedro Arias (Remote. Sens., 2019)

Comparison of heuristic and deep learning-based methods for ground classification from aerial point clouds. - Mario Soilán; Belén Riveiro; Jesús Balado; Pedro Arias (Int. J. Digit. Earth, 2020)

3D Point Cloud to BIM: Semi-Automated Framework to Define IFC Alignment Entities from MLS-Acquired LiDAR Data of Highway Roads. - Mario Soilán; Andrés Justo; Ana Sánchez-Rodríguez; Belén Riveiro (Remote. Sens., 2020)

Automatic Point Cloud Semantic Segmentation of Complex Railway Environments. - Daniel Lamas; Mario Soilán; Javier Grandio; Belén Riveiro (Remote. Sens., 2021)

Pavement Crack Detection and Clustering via Region-Growing Algorithm from 3D MLS Point Clouds. - Pablo del Río-Barral; Mario Soilán; Silvia María González-Collazo; Pedro Arias (Remote. Sens., 2022)

Automatic Road Inventory Using a Low-Cost Mobile Mapping System and Based on a Semantic Segmentation Deep Learning Model. - Hugo Tardy; Mario Soilán; José Antonio Martín-Jiménez; Diego González-Aguilera (Remote. Sens., 2023)