Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data von Balado, Jesús, Martínez-Sánchez, Joaquín, Arias, Pedro, Novo, Ana

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3D modeling of building indoor spaces and closed doors from imagery and point clouds von Díaz-Vilariño, Lucía, Khoshelham, Kourosh, Martínez-Sánchez, Joaquín, Arias, Pedro

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Individual Tree Segmentation Method Based on Mobile Backpack LiDAR Point Clouds von Comesaña-Cebral, Lino, Martínez-Sánchez, Joaquín, Lorenzo, Henrique, Arias, Pedro

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A novel low-cost multi-sensor solution for pavement distress segmentation and characterization at night von Qiu, Zhouyan, Martínez-Sánchez, Joaquín, Arias, Pedro, Datcu, Mihai

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Anticipating the Collapse of Urban Infrastructure: A Methodology Based on Earth Observation and MT-InSAR von Rodríguez-Antuñano, Ignacio, Martínez-Sánchez, Joaquín, Cabaleiro, Manuel, Riveiro, Belén

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Automatic detection to inventory road slopes using open LiDAR point clouds von Rúa, Erik, Núñez-Seoane, Antón, Arias, Pedro, Martínez-Sánchez, Joaquín

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Scanning Technologies to Building Information Modelling: A Review von Rashdi, Rabia, Martínez-Sánchez, Joaquín, Arias, Pedro, Qiu, Zhouyan

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Indoor Path-Planning Algorithm for UAV-Based Contact Inspection von González de Santos, Luis Miguel, Frías Nores, Ernesto, Martínez Sánchez, Joaquín, González Jorge, Higinio

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A top-down approach for a multi-scale identification of risk areas in infrastructures: particularization in a case study on road safety von Rúa, Erik, Comesaña-Cebral, Lino, Arias, Pedro, Martínez-Sánchez, Joaquín

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Urban Infrastructure Vulnerability to Climate-Induced Risks: A Probabilistic Modeling Approach Using Remote Sensing as a Tool in Urban Planning von Rodríguez-Antuñano, Ignacio, Barros, Brais, Martínez-Sánchez, Joaquín, Riveiro, Belén

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Operational Study of Drone Spraying Application for the Disinfection of Surfaces against the COVID-19 Pandemic von González Jorge, Higinio, González de Santos, Luis, Fariñas Álvarez, Noelia, Martínez Sánchez, Joaquin, Navarro Medina, Fermin

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Transport Infrastructure Management Based on LiDAR Synthetic Data: A Deep Learning Approach with a ROADSENSE Simulator von Comesaña-Cebral, Lino, Martínez-Sánchez, Joaquín, Seoane, Antón Nuñez, Arias, Pedro

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Segmentation and classification of road markings using MLS data von Soilán, Mario, Riveiro, Belén, Martínez-Sánchez, Joaquín, Arias, Pedro

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Automatic Registration of Mobile LiDAR Data Using High-Reflectivity Traffic Signs von González-Jorge, Higinio, Martínez Sánchez, Joaquín, Díaz-Vilariño, Lucía, Puente, Iván, Arias, Pedro

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Combination of macroscopic and microscopic crash prediction models with multiple modeling approaches: A highway case study von Rúa, Erik, Arias, Pedro, Saavedra, Ángeles, Martínez-Sánchez, Joaquín

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Successful Applications of Geotechnologies for the Evaluation of Road Infrastructures von Villarino, Alberto, Riveiro, Belen, Martinez-Sanchez, Joaquin, Gonzalez-Aguilera, Diego

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External multi-modal imaging sensor calibration for sensor fusion: A review von Qiu, Zhouyan, Martínez-Sánchez, Joaquín, Arias-Sánchez, Pedro, Rashdi, Rabia

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4-Plane congruent sets for automatic registration of as-is 3D point clouds with 3D BIM models von Bueno, Martín, Bosché, Frédéric, González-Jorge, Higinio, Martínez-Sánchez, Joaquín, Arias, Pedro

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An automated approach to vertical road characterisation using mobile LiDAR systems: Longitudinal profiles and cross-sections von Holgado-Barco, Alberto, Gonzalez-Aguilera, Diego, Arias-Sanchez, Pedro, Martinez-Sanchez, Joaquín

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Traffic sign detection in MLS acquired point clouds for geometric and image-based semantic inventory von Soilán, Mario, Riveiro, Belén, Martínez-Sánchez, Joaquín, Arias, Pedro

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