Carlos Viegas

According to our database, Carlos Viegas authored at least 17 papers between 2013 and 2024.

Collaborative distances:

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

2024

Vision System for a Forestry Navigation Machine.

Tiago Pereira, Tiago Gameiro, José Pedro Pereira, Carlos Viegas, Nuno M. Fonseca Ferreira

Sensors, March, 2024

2023

Sensor Integration in a Forestry Machine.

Tiago Pereira, Tiago Gameiro, Carlos Viegas, Victor D. N. Santos, Nuno M. F. Ferreira

Sensors, December, 2023

Latest Trends on Tree Classification and Segmentation Using UAV Data - A Review of Agroforestry Applications.

Babak Chehreh, Alexandra Moutinho, Carlos Viegas

Remote. Sens., May, 2023

2022

Vegetation Mapping with Random Forest Using Sentinel 2 and GLCM Texture Feature - A Case Study for Lousã Region, Portugal.

Pegah Mohammadpour, Domingos Xavier Viegas, Carlos Viegas

Remote. Sens., 2022

Tethered UAV with Combined Multi-rotor and Water Jet Propulsion for Forest Fire Fighting.

Carlos Viegas, Babak Chehreh, José Andrade, João Lourenço

J. Intell. Robotic Syst., 2022

Automatic forest fire danger rating calibration: Exploring clustering techniques for regionally customizable fire danger classification.

Jorge Sampaio Silveira Junior, João Ruivo Paulo, Jérôme Mendes, Daniela Alves, Luís Mário Ribeiro, Carlos Viegas

Expert Syst. Appl., 2022

Wildfire Spread Prediction Model Calibration Using Metaheuristic Algorithms.

Jorge Pereira, Jérôme Mendes, Jorge Sampaio Silveira Junior, Carlos Viegas, João Ruivo Paulo

Proceedings of the IECON 2022, 2022

Towards the Automation of Wildfire Monitoring with Aerial Vehicles: The FIREFRONT Project.

Ricardo A. Ribeiro, Alexandre Bernardino, Gonçalo Cruz, Diogo Silva, Luís Félix, João Caetano, Duarte Folgado, João Francisco, Nuno Simões, Carlos Viegas, Domingos Xavier Viegas, Houda Harkat, José M. P. Nascimento

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2019

Low-Cost System for Early Detection and Deployment of Countermeasures Against Wild Fires.

Miguel Antunes, Luís Miguel Ferreira, Carlos Viegas, A. Paulo Coimbra, Anibal T. de Almeida

Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

2018

SCALA: Scalable Modular Rail based Multi-agent Robotic System for Fine Manipulation over Large Workspaces.

Mahmoud Tavakoli, Carlos Viegas, Lucio Sgrigna, Anibal T. de Almeida

J. Intell. Robotic Syst., 2018

2015

Switchable magnets for robotics applications.

Mahmoud Tavakoli, Carlos Viegas, Jose Carlos Romao, Pedro Neto, Anibal T. de Almeida

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

State estimation and path following on curved and flat vertical surfaces with Omniclimber robots: Kinematics and control.

Mahmoud Tavakoli, Lucio Sgrigna, Carlos Viegas, Anibal T. de Almeida

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

InchwormClimber: A light-weight biped climbing robot with a switchable magnet adhesion unit.

Jose Carlos Romao, Mahmoud Tavakoli, Carlos Viegas, Pedro Neto, Anibal T. de Almeida

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014

A single DOF arm for transition of climbing robots between perpendicular planes.

Carlos Viegas, Mahmoud Tavakoli

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013

OmniClimbers: Omni-directional magnetic wheeled climbing robots for inspection of ferromagnetic structures.

Mahmoud Tavakoli, Carlos Viegas, Lino Marques, J. Norberto Pires, Anibal T. de Almeida

Robotics Auton. Syst., 2013

Magnetic omnidirectional wheels for climbing robots.

Mahmoud Tavakoli, Carlos Viegas, Lino Marques, J. Norberto Pires, Anibal T. de Almeida

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

OmniClimber-II: An omnidirectional climbing robot with high maneuverability and flexibility to adapt to non-flat surfaces.

Mahmoud Tavakoli, Carlos Viegas, Lino Marques, J. Norberto Pires, Anibal T. de Almeida

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013