Jesus Balado Frias

According to our database, Jesus Balado Frias authored at least 14 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A systematic literature review of low-cost 3D mapping solutions.

Jesús Balado, Raissa Garozzo, Lukas Winiwarter, Sofia Tilon

Inf. Fusion, 2025

2024

Santiago urban dataset SUD: Combination of Handheld and Mobile Laser Scanning point clouds.

Silvia María González-Collazo, Jesús Balado, Iván Garrido, Javier Grandío, Rabia Rashdi, Elisavet Tsiranidou, Pablo del Río-Barral, Erik Rúa, Iván Puente, Henrique Lorenzo

Expert Syst. Appl., March, 2024

2023

A discordance analysis in manual labelling of urban mobile laser scanning data used for deep learning based semantic segmentation.

Silvia María González-Collazo, Jesús Balado, Elena González, Abdul Nurunnabi

Expert Syst. Appl., November, 2023

2022

Detection of Direct Sun Glare on Drivers from Point Clouds.

Silvia María González-Collazo, Pablo del Río-Barral, Jesús Balado, Elena González

Remote. Sens., 2022

2021

Disturbance Analysis in the Classification of Objects Obtained from Urban LiDAR Point Clouds with Convolutional Neural Networks.

Jesús Balado, Pedro Arias, Henrique Lorenzo, Adrián Meijide-Rodríguez

Remote. Sens., 2021

Accessible Routes Integrating Data from Multiple Sources.

Miguel R. Luaces, Jesús A. Fisteus, Luis Sánchez Fernández, Mario Muñoz Organero, Jesús Balado, Lucía Díaz-Vilariño, Henrique Lorenzo

ISPRS Int. J. Geo Inf., 2021

Multiview Rasterization of Street Cross-sections Acquired with Mobile Laser Scanning for Semantic Segmentation with Convolutional Neural Networks.

Sergio de Paz Mouriño, Jesús Balado, Pedro Arias

Proceedings of the 19th IEEE International Conference on Smart Technologies, 2021

2020

Novel Approach to Automatic Traffic Sign Inventory Based on Mobile Mapping System Data and Deep Learning.

Jesús Balado, Elena González, Pedro Arias, David Castro

Remote. Sens., 2020

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

2019

Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data.

Jesús Balado, Joaquín Martínez-Sánchez, Pedro Arias, Ana Novo

Sensors, 2019

From BIM to Scan Planning and Optimization for Construction Control.

Ernesto Frías, Lucía Díaz-Vilariño, Jesús Balado, Henrique Lorenzo

Remote. Sens., 2019

2018

Autonomous Point Cloud Acquisition of Unknown Indoor Scenes.

Luis M. González-de Santos, Lucía Díaz-Vilariño, Jesús Balado, Joaquin Martinez-Sanchez, Higinio González-Jorge, Ana Sánchez-Rodríguez

ISPRS Int. J. Geo Inf., 2018

Automatic CORINE land cover classification from airborne LIDAR data.

Jesús Balado, Pedro Arias, Lucía Díaz-Vilariño, Luis M. González-de Santos

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference KES-2018, 2018

Object Detection and Classification in Occupancy Grid Maps Using Deep Convolutional Networks.

Sascha Wirges, Tom Fischer, Christoph Stiller, Jesus Balado Frias

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018