Paulo Drews-Jr
Paulo Drews-Jr
Autres nomsPaulo Lilles Jorge Drews Junior, Paulo Drews, Paulo Drews Junior
NAUTEC, Centro de Ciencias Computacionais - Universidade Federal do Rio Grande - FURG
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Transmission Estimation in Underwater Single Images
P Drews-Jr, E do Nascimento, F Moraes, S Botelho, M Campos, ...
ICCVw - International Conference on Computer Vision - Workshop on Underwater …, 2013
Underwater Depth Estimation and Image Restoration Based on Single Images.
PL Drews, ER Nascimento, SS Botelho, MF Campos
IEEE computer graphics and applications 36 (2), 24, 2016
Hybrid Unmanned Aerial Underwater Vehicle: Modeling and Simulation
P Drews-JR, A Alves Neto, M Campos
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014
Deep Learning for Microalgae Classification
I Corrêa, P Drews-Jr, S Botelho, MS de Souza, VM Tavano
IEEE International Conference On Machine Learning And Applications (ICMLA), 2017
Attitude control for an Hybrid Unmanned Aerial Underwater Vehicle: A robust switched strategy with global stability
AA Neto, LA Mozelli, PLJ Drews, MFM Campos
2015 IEEE International Conference on Robotics and Automation (ICRA), 395-400, 2015
An Open-source Bio-inspired Solution to Underwater SLAM
L Silveira, F Guth, P Drews-Jr, P Ballester, M Machado, F Codevilla, ...
IFAC Workshop - Navigation, Guidance and Control of Underwater Vehicles (NGCUV), 2015
Data Fusion Calibration for a 3D Laser Range Finder and a Camera using Inertial Data.
P Núñez, P Drews Jr, R Rocha, J Dias
European Conference on Mobile Robots - ECMR, 31-36, 2009
Microalgae classification using semi-supervised and active learning based on Gaussian mixture models
P Drews-Jr, RG Colares, P Machado, M de Faria, A Detoni, V Tavano
Journal of the Brazilian Computer Society 19 (4), 411-422, 2013
Underwater SLAM: Challenges, state of the art, algorithms and a new biologically-inspired approach
F Guth, L Silveira, S Botelho, P Drews, P Ballester
Biomedical Robotics and Biomechatronics (2014 5th IEEE RAS & EMBS …, 2014
Vision-Based Obstacle Avoidance Using Deep Learning
JO Gaya, LT Gonçalves, AC Duarte, B Zanchetta, P Drews, SSC Botelho
2016 XIII Latin American Robotics Symposium and IV Brazilian Robotics …, 2016
Visual odometry and mapping for underwater autonomous vehicles
S Botelho, G Oliveira, P Drews, M Figueiredo, C Haffele
Latin American Robotics Symposium (LARS), 2009
Novelty detection and 3D shape retrieval using superquadrics and multi-scale sampling for autonomous mobile robots.
P Drews Jr, PN Trujillo, RP Rocha, MFM Campos, J Dias
ICRA, 3635-3640, 2010
Using the Choquet Integral in the Pooling Layer in Deep Learning Networks
CA Dias, JCS Bueno, EN Borges, SSC Botelho, GP Dimuro, G Lucca, ...
North American Fuzzy Information Processing Society Annual Conference, 144-154, 2018
Probabilistic LMA-based classification of human behaviour understanding using power spectrum technique
K Khoshhal, H Aliakbarpour, J Quintas, P Drews, J Dias
Information Fusion (FUSION), 2010 13th Conference on, 1-7, 2010
A Novel Concept for Hybrid Unmanned Aerial Underwater Vehicles Focused on Aquatic Performance
AC Horn, PM Pinheiro, RB Grando, CB da Silva, AA Neto, PLJ Drews
2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on …, 2020
A Study on Configuration of Propellers for Multirotor-like Hybrid Aerial-Aquatic Vehicles
AC Horn, PM Pinheiro, CB Silva, AA Neto, PLJ Drews-Jr
2019 19th International Conference on Advanced Robotics (ICAR), 173-178, 2019
Spatial Density Patterns for Efficient Change Detection in 3D Environment for Autonomous Surveillance Robots
AW Vieira, P Drews-Jr, MFM Campos
IEEE Transactions on Automation Science and Engineering, 1-9, 2014
Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics
P Núñez, P Drews Jr, R Rocha, M Campos, J Dias
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International …, 2009
Visualization Methods for Image Transformation Convolutional Neural Networks
É Protas, JD Bratti, JFO Gaya, P Drews, SSC Botelho
IEEE Transactions on Neural Networks and Learning Systems, 1-13, 2018
Novelty detection and segmentation based on Gaussian mixture models: A case study in 3D robotic laser mapping
P Drews-Jr, P Núñez, RP Rocha, M Campos, J Dias
Robotics and Autonomous Systems 61 (12), 1696-1709, 2013
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