Renan Maffei
Universidade Federal do Rio Grande do Sul
36 Papers
118 Citations
Renan Maffei is an academic researcher from Universidade Federal do Rio Grande do Sul. The author has contributed to research in topics: Robot & Simultaneous localization and mapping. The author has an hindex of 8, co-authored 30 publications.
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Papers
A novel measurement model based on abBRIEF for global localization of a UAV over satellite images
Mathias Mantelli,Diego Pittol,Renata Neuland,Arthur Ribacki,Renan Maffei,Vitor A. M. Jorge,Edson Prestes,Mariana Kolberg +7 more
TL;DR: A new measurement model based on a novel version of BRIEF descriptor is proposed and applied in a Monte Carlo Localization system that estimates the UAV pose in 4 degrees of freedom.
52
Exploring the IEEE ontology for robotics and automation for heterogeneous agent interaction
Vitor A. M. Jorge,Vitor F. Rey,Renan Maffei,Sandro Rama Fiorini,Joel Luis Carbonera,Flora Branchi,João P. Meireles,Guilherme S. Franco,Flávia Farina,Tatiana Silva da Silva,Mariana Kolberg,Mara Abel,Edson Prestes +12 more
TL;DR: The proposed ontology is evaluated through a use case scenario involving both heterogeneous robots and human-robot interactions, showing how to define new spatial notions using POS.
25
Traversability Analysis by Semantic Terrain Segmentation for Mobile Robots
Sadegh Hosseinpoor,Jim Torresen,Mathias Mantelli,Diego Pitto,Mariana Kolberg,Renan Maffei,Edson Prestes +6 more
- 23 Aug 2021
TL;DR: In this article, a novel approach using semantic terrain segmentation (STS) is presented to segment the terrain according to different height thresholds, using only aerial RGB images, which relies on an adaptation of Deeplabv3+.
23
An immersive and collaborative visualization system for digital manufacturing
Nelson Duarte Filho,Silvia Silva da Costa Botelho,Jonata Tyska Carvalho,Pedro de Botelho Marcos,Renan Maffei,Rodrigo Remor Oliveira,Rodrigo Ruas Oliveira,Vinicius Alves Hax +7 more
TL;DR: An approach on immersive multiprojection visualization of manufacturing processes that admits scenarios with dynamic components and allows virtual reality collaborative visualization among geographically distributed users through multi-CAVE devices is proposed.
20
Hybridization of Monte Carlo and set-membership methods for the global localization of underwater robots
Renata Neuland,Jeremy Nicola,Renan Maffei,Luc Jaulin,Edson Prestes,Mariana Kolberg +5 more
- 01 Sep 2014
TL;DR: This work has devised a strategy that combines the best of both worlds of interval analysis and particle filter for solving the global localization problem for underwater robots.