Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About

About

I was born on August 8, 1992 in Vila Nova de Famalicão, Braga. 

In 2010, I joined IPVC in the Bachelor’s degree in Electronic and Computer Network Engineering, concluded 3 years later.

In 2017, I finished the Master degree in Electrical Engineering, branch of Autonomous Systems at the Autonomous Systems Laboratory, based on ISEP, where I got in contact with INESC TEC institution.

I am a researcher at INESC TEC since June 2015, working with autonomous multirotor robots.

Interest
Topics
Details

Details

Publications

2017

PLineD: Vision-based power lines detection for Unmanned Aerial Vehicles

Authors
Santos, T; Moreira, M; Almeida, J; Dias, A; Martins, A; Dinis, J; Formiga, J; Silva, E;

Publication
2017 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2017

Abstract
It is commonly accepted that one of the most important factors for assuring the high performance of an electrical network is the surveillance and the respective preventive maintenance. From a long time ago that TSOs and DSOs incorporate in their maintenance plans the surveillance of the grid, where is included the aerial power lines inspection. Those inspections started by human patrol, including structure climbing when needed and later were substituted by helicopters with powerful sensors and specialised technicians. More recently the Unmanned Aerial Vehicles (UAV) technology has been used, taking advantage of its numerous advantages. This paper addresses the problem of improving the real-time perception capabilities of UAVs for endowing them with capabilities for safe and robust autonomous and semi-autonomous operations. It presents a new vision based power line detection algorithm denoted by PLineD, able to improve the detection robustness even in the presence of image with background noise. The algorithm is tested in real outdoor images of a dataset with multiple backgrounds and weather conditions. The experimental results demonstrate that the proposed approach is effective and able to implemented in real-time image processing pipeline. © 2017 IEEE.

2017

Collision avoidance for safe structure inspection with multirotor UAV

Authors
Azevedo, F; Oliveira, A; Dias, A; Almeida, J; Moreira, M; Santos, T; Ferreira, A; Martins, A; Silva, E;

Publication
2017 European Conference on Mobile Robots (ECMR)

Abstract

2016

Air and underwater survey of water enclosed spaces for VAMOS! Project

Authors
Almeida, J; Ferreira, A; Matias, B; Dias, A; Martins, A; Silva, F; Oliveira, J; Sousa, P; Moreira, M; Miranda, T; Almeida, C; Silva, E;

Publication
OCEANS 2016 MTS/IEEE Monterey, OCE 2016

Abstract
This paper addresses a three-dimensional (3D) reconstruction of a flooded open pit mine with an autonomous surface vehicle (ASV) and unmanned aerial vehicle (UAV). The ROAZ USV and the Otus UAV were used to provide the underwater bathymetric map and aerial 3D reconstruction based from image data. This work was performed within the context of the European research project VAMOS with the objective of developing robotic tools for efficient underwater mining © 2016 IEEE.

2016

ISEP/INESC TEC Aerial Robotics Team for Search and Rescue Operations at the EuRathlon Challenge 2015

Authors
Sousa, P; Ferreira, A; Moreira, M; Santos, T; Martins, A; Dias, A; Almeida, J; Silva, E;

Publication
2016 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2016)

Abstract
This paper presents the autononomous aerial vehicle OTUS and its application to search and rescue scenarios, namely the participation on the EuRathlon 2015 competition. The OTUS robot was developed at INESC TEC/ ISEP for research in cooperative aerial robotics and applications in complex and dynamic environments. The system was validated in this challenging scenario and was able to win the Grand Challenge scenario in cooperation with a land and marine robotics partner teams.