Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Interest
Topics
Details

Details

  • Name

    Vitor Manuel Filipe
  • Cluster

    Computer Science
  • Role

    Research Coordinator
  • Since

    01st October 2012
002
Publications

2020

Correction to: A review of assistive spatial orientation and navigation technologies for the visually impaired

Authors
Fernandes, H; Costa, P; Filipe, V; Paredes, H; Barroso, J;

Publication
Universal Access in the Information Society

Abstract
The fourth author name was missed in the original publication. The correct list of authors should read as “Hugo Fernandes, Paulo Costa, Vitor Filipe, Hugo Paredes, João Barroso”. It has been corrected in this erratum. The original article has been updated. © 2017 Springer-Verlag GmbH Germany

2020

Autonomous Driving Car Competition

Authors
Alves, JP; Fonseca Ferreira, NMF; Valente, A; Soares, S; Filipe, V;

Publication
Robotics in Education - Advances in Intelligent Systems and Computing

Abstract

2020

UAV Landing Using Computer Vision Techniques for Human Detection

Authors
Safadinho, D; Ramos, J; Ribeiro, R; Filipe, V; Barroso, J; Pereira, A;

Publication
SENSORS

Abstract
The capability of drones to perform autonomous missions has led retail companies to use them for deliveries, saving time and human resources. In these services, the delivery depends on the Global Positioning System (GPS) to define an approximate landing point. However, the landscape can interfere with the satellite signal (e.g., tall buildings), reducing the accuracy of this approach. Changes in the environment can also invalidate the security of a previously defined landing site (e.g., irregular terrain, swimming pool). Therefore, the main goal of this work is to improve the process of goods delivery using drones, focusing on the detection of the potential receiver. We developed a solution that has been improved along its iterative assessment composed of five test scenarios. The built prototype complements the GPS through Computer Vision (CV) algorithms, based on Convolutional Neural Networks (CNN), running in a Raspberry Pi 3 with a Pi NoIR Camera (i.e., No InfraRed-without infrared filter). The experiments were performed with the models Single Shot Detector (SSD) MobileNet-V2, and SSDLite-MobileNet-V2. The best results were obtained in the afternoon, with the SSDLite architecture, for distances and heights between 2.5-10 m, with recalls from 59%-76%. The results confirm that a low computing power and cost-effective system can perform aerial human detection, estimating the landing position without an additional visual marker.

2019

Kinematic and kinetic gait analysis to evaluate functional recovery in thoracic spinal cord injured rats

Authors
Diogo, CC; da Costa, LM; Pereira, JE; Filipe, V; Couto, PA; Geuna, S; Armada da Silva, PA; Mauricio, AC; Varejao, ASP;

Publication
Neuroscience and Biobehavioral Reviews

Abstract
The recovery of walking function following spinal cord injury (SCI) is of major importance to patients and clinicians. In experimental SCI studies, a rat model is widely used to assess walking function, following thoracic spinal cord lesion. In an effort to provide a resource which investigators can refer to when seeking the most appropriate functional assay, the authors have compiled and categorized the behavioral assessments used to measure the deficits and recovery of the gait in thoracic SCI rats. These categories include kinematic and kinetic measurements. Within this categorization, we discuss the advantages and disadvantages of each type of measurement. The present review includes the type of outcome data that they produce, the technical difficulty and the time required to potentially train the animals to perform them, and the need for expensive or highly specialized equipment. The use of multiple kinematic and kinetic parameters is recommended to identify subtle deficits and processes involved in the compensatory mechanisms of walking function after experimental thoracic SCI in rats. © 2019 Elsevier Ltd

2019

Learning Computer Vision using a Humanoid Robot

Authors
Vital, JPM; Fonseca Ferreira, NMF; Valente, A; Filipe, V; Soares, SFSP;

Publication
2019 IEEE Global Engineering Education Conference (EDUCON)

Abstract

Supervised
thesis

2019

Facial image processing to monitor physical exercise intensity

Author
Salik Ram Khanal

Institution
UTAD

2018

Facial image processing to monitor physical exercise intensity

Author
Salik Ram Khanal

Institution
UTAD

2018

Interação Visual para a assistência a idosos

Author
Leonel Agostinho Costa Crisóstomo

Institution
UTAD

2018

MODELO DE FATORES INFLUENCIADORES DA ADOÇÃO DE CRM EM MUNICÍPIOS

Author
Jorge Manuel Pereira Duque

Institution
UTAD

2017

Sistema de monitorização do estado emocional em idosos

Author
Bruno André Soares Morais

Institution
UTAD