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About

About

André Dias was born in Porto, Portugal 1980. He finished is lic. degree in Electrical and Electronic Engineering from ISEP Porto Polytechnic School in 2004. He pursue further studies and obtained his Master in Electronics and Computers Engineering, from IST University of Lisbon in 2008. In 2015 graduated (Phd) in Electronics and Computers Engineering, from IST University of Lisbon.
He currently is a professor at the School of Engineering (ISEP) of the Porto Polytechnic Institute (IPP) and senior researcher at the robotics and autonomous systems group of INESC TEC in Portugal, where he is project member in several international FP7, H2020 projects. He is the main author of several research publications in the domains of perception and mobile robotics applications.

Interest
Topics
Details

Details

003
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

Simulation environment for underground flooded mines robotic exploration

Authors
Pereira, R; Rodrigues, J; Martins, A; Dias, A; Almeida, J; Almeida, C; Silva, E;

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

Abstract
This paper presents the work performed in the implementation of an underwater simulation environment for the development of an autonomous underwater vehicle for the exploration of flooded underground tunnels. In particular, the implementation of a laser based structured light system, multibeam sonar and other robot details were addressed. The simulation was used as a relevant tool in order to study and specify the robot multiple sensors characteristics and placement in order to adequately survey a realistic environment. A detailed description of the research and development work is presented along with the analysis of obtained results and the benefits this work brings to the project. © 2017 IEEE.

2017

Signed Distance Function Based Surface Reconstruction of a Submerged Inland Mine Using Continuous-time SLAM

Authors
Bleier, M; Dias, A; Ferreira, A; Pidgeon, J; Almeida, J; Silva, E; Schilling, K; Nuechter, A;

Publication
IFAC-PapersOnLine

Abstract
The planning of mining operations in water filled open-pit mines requires detailed bathymetry to create a mine plan and assess the involved risks. This paper presents postprocessing techniques for creating an improved 3D model from a survey carried out using an autonomous surface vehicle with a multibeam sonar and a GPS/INS navigation system. Inconsistencies of the created point cloud as a result of calibration errors or GPS signal loss are corrected using a continuous-time simultaneous localization and mapping (SLAM) solution. Signed distance function (SDF) based mapping is employed to fuse the measurements from multiple runs into a consistent representation and reduce sensor noise. From the signed distance function model we reconstruct a 3D surface mesh. We use this terrain model to establish a virtual reality scene for immersive data visualization of the mining operations for testing and planing during development. Results of the proposed approach are demonstrated on a dataset captured in an abandoned submerged inland mine. © 2017

2017

Unmanned Maritime Systems for Search and Rescue

Authors
Matos, A; Silva, E; Almeida, J; Martins, A; Ferreira, H; Ferreira, B; Alves, J; Dias, A; Fioravanti, S; Bertin, D; Lobo, V;

Publication
Search and Rescue Robotics - From Theory to Practice

Abstract

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

Supervised
thesis

2017

SISTEMA AUTÓNOMO DE MONITORIZAÇÃO SUBAQUÁTICA COM VARIAÇÃO DE FLUTU- ABILIDADE PARA O PROJECTO MARINEYE

Author
MARCO MOTA GONÇALVES

Institution
IPP-ISEP

2017

Sistema de Apoio ao Processo de Aterragem Autónoma de um VTOL

Author
MIGUEL MORIM MOREIRA

Institution
IPP-ISEP

2017

Análise e Proposta de Melhorias do Pipeline de processamento do wiiGO

Author
PEDRO MANUEL DA SILVA RIBEIRO

Institution
IPP-ISEP

2017

Inspecção Visual de Isoladores Eléctricos - Abordagem baseada em Deep Learning

Author
DANIEL DOS SANTOS OLIVEIRA

Institution
IPP-ISEP

2016

Planeamento de Trajetória para Operações de Busca e Salvamento com UAVs

Author
TIAGO SANTOS FERNANDES

Institution
IPP-ISEP