Details
Name
Alfredo MartinsCluster
Networked Intelligent SystemsRole
Assistant ResearcherSince
01st March 2011
Nationality
PortugalCentre
Robotics and Autonomous SystemsContacts
+351228340554
alfredo.martins@inesctec.pt
2022
Authors
Ferreira, A; Almeida, J; Martins, A; Matos, A; Silva, E;
Publication
SENSORS
Abstract
2021
Authors
Resende, J; Barbosa, P; Almeida, J; Martins, A;
Publication
2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
Abstract
2021
Authors
Loureiro, G; Dias, A; Martins, A; Almeida, J;
Publication
REMOTE SENSING
Abstract
2021
Authors
Amado, M; Lopes, F; Dias, A; Martins, A;
Publication
IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2021, Santa Maria da Feira, Portugal, April 28-29, 2021
Abstract
2021
Authors
Moura, A; Antunes, J; Dias, A; Martins, A; Almeida, J;
Publication
2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
Abstract
Unmanned Aerial Vehicles (UAVs) are a key ingredient in the industry and in warehouse logistics digital transformation process, providing the ability to perform automatic cyclic counting and real-time inventory, localize hard-to-find items and reach narrow storage areas. The use of UAVs poses new challenges, such as indoor autonomous localization and navigation, collision avoidance and automated UAV fleet management. This paper addresses the development of a vision-based Graph-SLAM approach for UAV indoor localization without predefined warehouse markers positions. A framework is proposed and developed to support different commercial UAV platforms, allowing the estimation in real-time of the UAV position and attitude. Indoor experimental tests were carried out in order to evaluate the performance of the developed method, comparing the results obtained with an approach based on the pre-mapped markers position indoor localization method.
Supervised Thesis
2020
Author
JOÃO FILIPE AMORIM RESENDE
Institution
IPP-ISEP
2020
Author
RUI RODRIGO SERRA FIGUEIRINHA
Institution
IPP-ISEP
2020
Author
PEDRO EMANUEL JORGE BARBOSA
Institution
IPP-ISEP
2019
Author
DANIEL DA SILVA FREIRE
Institution
IPP-ISEP
2019
Author
SHRAVAN DEV RAJESH
Institution
IPP-ISEP
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.