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ORCIDMatheus F. Ferraz
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2020 – today
- 2023
[c5]Matheus Fellype Ferraz
, Birte Kristina Friesel, Olaf Spinczyk:
Pros and Cons of Executable Neural Networks for Deeply Embedded Systems. CODAI 2023: 16-20- 2022
- [c4]Birte Friesel, Michael Müller, Matheus F. Ferraz, Olaf Spinczyk:
On the relation of variability modeling languages and non-functional properties. SPLC (B) 2022: 140-144 - 2021
- [c3]Matheus F. Ferraz, Luciano Bonzatto Junior, Aroldo S. K. Komori, Lucas Coradin Rech, Guilherme H. T. Schneider, Guido S. Berger, Álvaro Rogério Cantieri, José Lima, Marco A. Wehrmeister:
Artificial Intelligence Architecture Based on Planar LiDAR Scan Data to Detect Energy Pylon Structures in a UAV Autonomous Detailed Inspection Process. OL2A 2021: 430-443 - 2020
- [j1]Alvaro Rogério Cantieri, Matheus F. Ferraz, Guido Szekir, Marco Antônio Simões Teixeira, José Lima, André Schneider de Oliveira, Marco Aurélio Wehrmeister:
Cooperative UAV-UGV Autonomous Power Pylon Inspection: An Investigation of Cooperative Outdoor Vehicle Positioning Architecture. Sensors 20(21): 6384 (2020)
2010 – 2019
- 2019
- [c2]Guido Szekir Berger, Matheus Fellype Ferraz, Álvaro Rogério Cantieri, Marco Aurélio Wehrmeister:
Analysis of Low Cost Sensors Applied to the Detection of Obstacles in High Voltage Towers. IESS 2019: 155-166 - [c1]Alvaro Rogério Cantieri, Marco Aurélio Wehrmeister, André Schneider de Oliveira, José Lima, Matheus F. Ferraz, Guido Szekir:
Proposal of an Augmented Reality Tag UAV Positioning System for Power Line Tower Inspection. ROBOT (1) 2019: 87-98
Coauthor Index
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