Jesus Balado Frias

Orcid: 0000-0002-3758-3102

Affiliations:
  • University of Vigo, Applied Geotechnologies Research Group, Spain


According to our database1, Jesus Balado Frias authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Santiago urban dataset SUD: Combination of Handheld and Mobile Laser Scanning point clouds.
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.
Expert Syst. Appl., November, 2023

2022
Detection of Direct Sun Glare on Drivers from Point Clouds.
Remote. Sens., 2022

2021
Disturbance Analysis in the Classification of Objects Obtained from Urban LiDAR Point Clouds with Convolutional Neural Networks.
Remote. Sens., 2021

Accessible Routes Integrating Data from Multiple Sources.
ISPRS Int. J. Geo Inf., 2021

Multiview Rasterization of Street Cross-sections Acquired with Mobile Laser Scanning for Semantic Segmentation with Convolutional Neural Networks.
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.
Remote. Sens., 2020

Comparison of heuristic and deep learning-based methods for ground classification from aerial point clouds.
Int. J. Digit. Earth, 2020

2019
Road Environment Semantic Segmentation with Deep Learning from MLS Point Cloud Data.
Sensors, 2019

From BIM to Scan Planning and Optimization for Construction Control.
Remote. Sens., 2019

2018
Autonomous Point Cloud Acquisition of Unknown Indoor Scenes.
ISPRS Int. J. Geo Inf., 2018

Automatic CORINE land cover classification from airborne LIDAR data.
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.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018


  Loading...