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Paulo L. J. Drews-Jr
Paulo Drews Jr. – Paulo Lilles Drews Jr. – Paulo Lilles Jorge Drews Junior – Paulo Lilles Jorge Drews – Paulo Lilles Drews Junior
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- affiliation: Federal University of Rio Grande, NAUTEC, Brazil
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2020 – today
- 2024
- [j29]Paulo Jefferson Dias de Oliveira Evald
, Vivian Misaki Aoki, César Bastos da Silva, Dayana dos Santos Cardoso, Pedro Miranda Pinheiro, Silvia Silva da Costa Botelho, Paulo Lilles Jorge Drews Junior:
A review on quadrotor attitude control strategies. Int. J. Intell. Robotics Appl. 8(1): 230-250 (2024) - [c116]Joe Jonas Vogel
Optimizing Maritime Propeller Design with Continuous Evolutionary Algorithms. CEC 2024: 1-8 - [i16]Nikhil Gosala, Kürsat Petek, B. Ravi Kiran, Senthil Kumar Yogamani, Paulo Drews Jr., Wolfram Burgard, Abhinav Valada:
LetsMap: Unsupervised Representation Learning for Semantic BEV Mapping. CoRR abs/2405.18852 (2024) - [i15]Ricardo B. Grando, Raul Steinmetz, Victor Augusto Kich, Alisson Henrique Kolling, Pablo M. Furik, Junior Costa de Jesus, Bruna de Vargas Guterres, Daniel Fernando Tello Gamarra, Rodrigo da Silva Guerra, Paulo L. J. Drews-Jr:
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning. CoRR abs/2406.01952 (2024) - [i14]Victor Augusto Kich, Alisson Henrique Kolling, Junior Costa de Jesus, Gabriel Vinícius Heisler, Hiago Jacobs Sodre Pereira, Jair Augusto Bottega, André L. S. da Kelbouscas, Akihisa Ohya, Ricardo Bedin Grando, Paulo Lilles Drews Jr., Daniel Fernando Tello Gamarra:
Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots. CoRR abs/2408.05744 (2024) - 2023
- [j28]Paulo Lilles Jorge Drews Junior
Robotics Research Growth in Latin America: Topical Collection on LARS 2020. J. Intell. Robotic Syst. 107(1): 15 (2023) - [j27]Lucas Griep Tuchtenhagen, Pedro Miranda Pinheiro
Altitude Control of an Unmanned Air-Water Hybrid Vehicle in the Media Transition. J. Intell. Robotic Syst. 107(4): 49 (2023) - [j26]Matheus Machado dos Santos
A Probabilistic Underwater Localisation based on Cross-view and Cross-domain Acoustic and Aerial Images. J. Intell. Robotic Syst. 108(3): 34 (2023) - [c115]Guilherme C. Oliveira, Paulo Jefferson Dias de Oliveira Evald, Matheus G. Mateus, Pedro L. Corçaque, Adir A. Pedroso Jr., Andressa Cavalcante da Silva, Gustavo Pereira de Almeida, Thássio G. Silva
Low-Cost Prototype for Analysis and Monitoring of Underwater Structures. CLAWAR (1) 2023: 46-57 - [c114]Adir A. Pedroso Jr., Andressa Cavalcante da Silva, Matheus G. Mateus, Ricardo B. Grando, Guilherme C. Oliveira, Pedro L. Corçaque, Paulo L. J. Drews-Jr:
Prototyping of a Sealing Cap for a Hybrid Unmanned Aerial Underwater Vehicle with Onboard Instrumentation. CLAWAR (1) 2023: 193-202 - [c113]Matheus G. Mateus, Pedro L. Corçaque, Adir A. Pedroso Jr., Andressa Cavalcante da Silva, Guilherme C. Oliveira, Gustavo Pereira de Almeida, Thássio G. Silva
Visual Sensors Benchmark for Development of an Autonomous Navigation Setup for a Hybrid Unmanned Aerial Underwater Vehicle. CLAWAR (1) 2023: 203-214 - [c112]Nikhil Gosala, Kürsat Petek, Paulo L. J. Drews-Jr, Wolfram Burgard, Abhinav Valada:
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images. CVPR 2023: 14901-14910 - [c111]Bruna Guterres, Kauê Sbrissa, Amanda Mendes, Lucas Meireles, Lucie Novoveska, Francisca Vermeulen, Javier Martinez, Aitor Garcia, Lisl Lain, Marié Smith, Paulo Drews Jr.
HAB detection within Aquaculture Industry: A Case Study in the Atlantic Area. INDIN 2023: 1-6 - [c110]Luciane B. Soares, Paulo Jefferson Dias de Oliveira Evald, Eduardo Augusto D. Evangelista, Paulo Lilles Jorge Drews Junior
An Autonomous Inspection Method for Pitting Detection Using Deep Learning*. INDIN 2023: 1-6 - [c109]Monish R. Nallapareddy, Kshitij Sirohi, Paulo Lilles Jorge Drews, Wolfram Burgard, Chih-Hong Cheng, Abhinav Valada:
EvCenterNet: Uncertainty Estimation for Object Detection Using Evidential Learning. IROS 2023: 5699-5706 - [c108]Ricardo B. Grando, Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Matheus G. Mateus, Rodrigo da Silva Guerra, Paulo L. J. Drews-Jr:
DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. LARS/SBR/WRE 2023: 53-58 - [c107]Alisson Henrique Kolling, Victor Augusto Kich, Junior Costa de Jesus, Andressa Cavalcante da Silva, Ricardo Bedin Grando, Paulo Lilles Jorge Drews, Daniel Fernando Tello Gamarra:
Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles. LARS/SBR/WRE 2023: 95-100 - [c106]Matheus Machado dos Santos, Pedro M. Pinheiro, Igor P. Maurell, Luciane B. Soares, Je Nam Jun Junior, Pedro E. Nunes, Eduardo Augusto D. Evangelista, Vinicius V. Maurente, Cedenir B. Costa, Eduardo N. Borges, Eder Mateus Nunes Gonçalves
Unmanned Aerial Systems for Indoor Inspection in Industrial Sites: System Architecture, Sensors, and Simulation Techniques. LARS/SBR/WRE 2023: 101-106 - [c105]Guilherme Camargo de Oliveira, Enrique F. Garcia, Julio Cesar S. Dos Santos, Adir A. Pedroso, Leonardo C. Pereira, Paulo L. J. Drews-Jr:
Mergulhão Bot: Design and Prototyping of a Low-Cost Hybrid Vehicle for Oil Leakage Detection. LARS/SBR/WRE 2023: 391-396 - [c104]Érick Cardoso Gonçalves, Gustavo Pereira de Almeida, Eduardo Lawson Da Silva, Tatiana Taís Schein, Paulo Jefferson Dias de Oliveira Evald, Paulo Lilles Drews Jr.:
Line Detection and Segmentation of Annual Crops Using Hybrid Method. LARS/SBR/WRE 2023: 472-477 - [c103]Rafael Tavares Guthes, Matheus Machado dos Santos, Rafael Lemos, Guilherme Azambuja, Juliana V. dos Santos, Eduardo N. Borges, Paulo L. J. Drews-Jr, Silvia S. C. Botelho:
Geometric Mapping and Pose Estimation Techniques for Improving Safety and Efficiency in Offshore Crane Operations. LARS/SBR/WRE 2023: 484-489 - [c102]Lucas Caetano Pereira
The not-so-easy task of taking heavy-lift ML models to the edge: a performance-watt perspective. SAC 2023: 699-706 - [c101]Lucas Silva, Paulo Drews Jr., Rodrigo Andrade de Bem
Soybean Weeds Segmentation Using VT-Net: A Convolutional-Transformer Model. SIBGRAPI 2023: 127-132 - [c100]Luciane B. Soares, Eduardo Augusto D. Evangelista, Vinicius V. Maurente, Matheus Machado dos Santos, Igor P. Maurell, Marcelo Pias, Paulo Drews Jr., Silvia S. C. Botelho:
Segmentation and Removal of Markings in Metal Inspection Images. SIBGRAPI 2023: 133-138 - [i13]Nikhil Gosala, Kürsat Petek, Paulo L. J. Drews-Jr
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images. CoRR abs/2302.04233 (2023) - [i12]Monish R. Nallapareddy, Kshitij Sirohi, Paulo L. J. Drews-Jr
EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning. CoRR abs/2303.03037 (2023) - [i11]Ricardo B. Grando, Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Rodrigo da Silva Guerra, Paulo L. J. Drews-Jr
DoCRL: Double Critic Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. CoRR abs/2308.09811 (2023) - [i10]Alisson Henrique Kolling, Victor Augusto Kich, Junior Costa de Jesus, Andressa Cavalcante da Silva, Ricardo Bedin Grando, Paulo Lilles Jorge Drews Junior
Parallel Distributional Prioritized Deep Reinforcement Learning for Unmanned Aerial Vehicles. CoRR abs/2309.00176 (2023) - 2022
- [j25]Claudio Dornelles Mello Jr.
Underwater enhancement based on a self-learning strategy and attention mechanism for high-intensity regions. Comput. Graph. 107: 264-276 (2022) - [j24]Ricardo Bedin Grando, Junior Costa de Jesus
Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles. J. Intell. Robotic Syst. 104(2): 29 (2022) - [j23]Esther Luna Colombini, Paulo L. J. Drews-Jr
Editorial Notes for Topical Collection on Robotica 2019. J. Intell. Robotic Syst. 104(2): 38 (2022) - [j22]Pedro M. Pinheiro
Trajectory Planning for Hybrid Unmanned Aerial Underwater Vehicles with Smooth Media Transition. J. Intell. Robotic Syst. 104(3): 46 (2022) - [j21]Giovanni G. De Giacomo
Matching Cross-Domain Data with Cooperative Training of Triplet Networks: A Case Study on Underwater Robotics. J. Intell. Robotic Syst. 104(3): 55 (2022) - [j20]A.-N. Ponce-Hinestroza, Paulo L. J. Drews-Jr
A Probabilistic Approach to Restore Images Acquired in Underwater Scenes. J. Math. Imaging Vis. 64(1): 89-104 (2022) - [j19]Matheus Machado dos Santos
Cross-View and Cross-Domain Underwater Localization Based on Optical Aerial and Acoustic Underwater Images. IEEE Robotics Autom. Lett. 7(2): 4969-4974 (2022) - [c99]Claudio Dornelles Mello Jr.
Self-learning Methodology Based on Degradation Estimation for Underwater Image Enhancement. BRACIS (2) 2022: 84-95 - [c98]Lucas Ricardo Vieira Messias, Paulo L. J. Drews-Jr
Attention-Based Neural Network For Ill-Exposed Image Correction. ICIP 2022: 3913-3917 - [c97]Jovania Menezes Dias, Paulo Jefferson Dias de Oliveira Evald
A non-invasive learning-based method for pipeline overhaul on fertilizer production plants. IECON 2022: 1-6 - [c96]Nelson de Farias Traversi, Paulo Jefferson Dias de Oliveira Evald
A neural network for segmentation of fertilizer grain with multiple sizes and without background. IECON 2022: 1-6 - [c95]Junior Costa de Jesus
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. IROS 2022: 10579-10586 - [c94]Rodrigo Abrantes Antunes
Detecting Data Injection Attacks in ROS Systems using Machine Learning. LARS/SBR/WRE 2022: 1-6 - [c93]Ricardo B. Grando, Junior Costa de Jesus
Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. LARS/SBR/WRE 2022: 1-6 - [c92]Matheus G. Mateus, Ricardo B. Grando, Paulo L. J. Drews-Jr
Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning. LARS/SBR/WRE 2022: 1-6 - [c91]Gustavo Henrique do Nascimento
Epistemic uncertainty estimation with evidential learning on semantic segmentation of underwater images. LARS/SBR/WRE 2022: 1-6 - [c90]Vivian Misaki Aoki, Paulo Jefferson Dias de Oliveira Evald
Exploring Ground Effect in a Hybrid Aerial-Aquatic Unmanned Vehicle. LARS/SBR/WRE 2022: 37-42 - [c89]Adir A. Pedroso, Andressa Cavalcante da Silva, Pedro M. Pinheiro, Paulo L. J. Drews-Jr
Prototyping and Construction of a Hybrid Unmanned Aerial Underwater Vehicles. LARS/SBR/WRE 2022: 61-66 - [c88]Vivian Misaki Aoki, Paulo Jefferson Dias de Oliveira Evald
Volume-based Transition Zone Assessment of Hybrid Unmanned Aerial-Underwater Vehicles. LARS/SBR/WRE 2022: 67-72 - [c87]Ricardo B. Grando, Junior Costa de Jesus
Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. LARS/SBR/WRE 2022: 193-198 - [i9]Matheus Machado dos Santos, Giovanni G. De Giacomo, Paulo L. J. Drews-Jr, Silvia S. C. Botelho:
Cross-view and Cross-domain Underwater Localization based on Optical Aerial and Acoustic Underwater Images. CoRR abs/2202.07817 (2022) - [i8]Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Ricardo Bedin Grando, Rodrigo da Silva Guerra, Paulo Lilles Jorge Drews Junior
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. CoRR abs/2206.15211 (2022) - [i7]Claudio Dornelles Mello Jr., Bryan Umpierre Moreira, Paulo Jefferson Dias de Oliveira Evald, Paulo Lilles Drews Jr.
Underwater enhancement based on a self-learning strategy and attention mechanism for high-intensity regions. CoRR abs/2208.03319 (2022) - [i6]Ricardo B. Grando, Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Rodrigo da Silva Guerra, Paulo L. J. Drews-Jr
Deterministic and Stochastic Analysis of Deep Reinforcement Learning for Low Dimensional Sensing-based Navigation of Mobile Robots. CoRR abs/2209.06328 (2022) - [i5]Ricardo B. Grando, Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Rodrigo da Silva Guerra, Paulo L. J. Drews-Jr
Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization. CoRR abs/2209.06332 (2022) - [i4]Matheus G. Mateus, Ricardo B. Grando, Paulo L. J. Drews-Jr
Active Perception Applied To Unmanned Aerial Vehicles Through Deep Reinforcement Learning. CoRR abs/2209.06336 (2022) - 2021
- [j18]Paulo Drews Jr.
Underwater image segmentation in the wild using deep learning. J. Braz. Comput. Soc. 27(1): 12 (2021) - [j17]Giovanni G. De Giacomo
Guided Sonar-to-Satellite Translation. J. Intell. Robotic Syst. 101(3): 46 (2021) - [j16]Cristiano Rafael Steffens
On Robustness of Robotic and Autonomous Systems Perception. J. Intell. Robotic Syst. 101(3): 61 (2021) - [j15]Fábio P. Terra
Autonomous Agricultural Sprayer using Machine Vision and Nozzle Control. J. Intell. Robotic Syst. 102(2): 38 (2021) - [j14]Guilherme A. S. Pereira
ICAR 2019 Special Issue. J. Intell. Robotic Syst. 102(4): 88 (2021) - [c86]Ricardo B. Grando, Junior Costa de Jesus
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. ICRA 2021: 1088-1094 - [c85]Vivian M. Aoki, Pedro M. Pinheiro, Paulo L. J. Drews-Jr
Analysis of a Hybrid Unmanned Aerial Underwater Vehicle Considering the Environment Transition. LARS/SBR/WRE 2021: 90-95 - [c84]Igor P. Maurell, Caue Ferreira, Carlos A. Eguti, Paulo Drews Jr.
Geometric Primitive Fitting in Large Structure 3D Point Clouds Acquired by Drones. LARS/SBR/WRE 2021: 108-113 - [c83]Claudio Dornelles Mello Jr., Paulo Lilles Drews Jr.
Degradation-Driven Underwater Image Enhancement. LARS/SBR/WRE 2021: 186-191 - [c82]Matheus Machado dos Santos, Giovanni G. De Giacomo, Paulo L. J. Drews-Jr
A Framework for Underwater Vehicle Localization based on Cross-view and Cross-domain Acoustic and Aerial Images. LARS/SBR/WRE 2021: 204-209 - [c81]Luciane B. Soares, Silvia Botelho, Ricardo Nagel, Paulo Lilles Drews Jr.
A Visual Inspection Proposal to Identify Corrosion Levels in Marine Vessels Using a Deep Neural Network. LARS/SBR/WRE 2021: 222-227 - [c80]Nelson de Farias Traversi, Douglas Alves Goulart, Julio Cezar O. Mendonça, Silvia S. C. Botelho, Luciane B. Soares, Emanuel da S. D. Estrada, Paulo L. J. Drews-Jr
VBM granulometry for real applications in the fertilizer industry. LARS/SBR/WRE 2021: 276-281 - [c79]Everson Fagundes de Toledo, Edwilson Silva Vaz Junior, Paulo L. J. Drews-Jr
Water Classification Based on Underwater Monocular Image. LARS/SBR/WRE 2021: 282-287 - [c78]Albano Borba, Johann Pires, Rafael Molossi Escher, Rodrigo Andrade de Bem
A spatio-temporal exposure correction neural network for autonomous vehicle. SAC 2021: 793-800 - [c77]Rafael Molossi Escher, Rodrigo Andrade de Bem
Fast Spatial-Temporal Transformer Network. SIBGRAPI 2021: 65-72 - [c76]Iago Lourenço Correa, Paulo Lilles Jorge Drews Junior
Combination of Optical Character Recognition Engines for Documents Containing Sparse Text and Alphanumeric Codes. SIBGRAPI 2021: 299-306 - [c75]Gabriel Lavoura dos Santos, Vanessa Telles da Silva, Laura A. Dalmolin, Ricardo Nagel Rodrigues, Paulo Lilles Jorge Drews Junior
A Form Understanding Approach to Printed and Structured Engineering Documentation. SIBGRAPI 2021: 330-337 - [i3]Ricardo Bedin Grando, Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Nicolas Pieper Bortoluzzi, Pedro Miranda Pinheiro, Armando Alves Neto, Paulo Lilles Jorge Drews Junior
Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition. CoRR abs/2103.12883 (2021) - [i2]Ricardo Bedin Grando, Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Paulo Lilles Drews Jr.:
Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles. CoRR abs/2112.13724 (2021) - [i1]Pedro Miranda Pinheiro, Armando Alves Neto, Ricardo Bedin Grando, César Bastos da Silva, Vivian Misaki Aoki, Dayana Cardoso, Alexandre Campos Horn, Paulo Lilles Drews Jr.:
Trajectory Planning for Hybrid Unmanned Aerial Underwater Vehicles with Smooth Media Transition. CoRR abs/2112.13819 (2021) - 2020
- [j13]Cristiano Rafael Steffens
CNN Based Image Restoration. J. Intell. Robotic Syst. 99(3): 609-627 (2020) - [j12]Matheus Machado dos Santos
Matching Color Aerial Images and Underwater Sonar Images Using Deep Learning for Underwater Localization. IEEE Robotics Autom. Lett. 5(4): 6365-6370 (2020) - [c74]Cristiano Rafael Steffens
A Pipelined Approach to Deal with Image Distortion in Computer Vision. BRACIS 2020: 212-225 - [c73]Claudio Dornelles Mello Jr.
Unsupervised Learning Method for Encoder-Decoder-Based Image Restoration. BRACIS 2020: 348-360 - [c72]Luciane B. Soares, Débora Debiaze de Paula, Patrick Baldez, Lucas Caetano, Ricardo Nagel, Danúbia Bueno Espíndola, Paulo Drews Jr.
Embedded System for Automation of Linear Welding Robot for Naval and Offshore Industry. INDIN 2020: 194-199 - [c71]Douglas Alves Goulart, Nelson de Farias Traversi, Julio Cezar O. Mendonça, Ricardo Nagel Rodrigues, Emanuel da S. D. Estrada, Paulo Lilles Drews Jr.
Grain Surface Simulator to Averiguate the Overlapping and Noise Problems on Computer Vision Granullometry of Fertilizers. INDIN 2020: 374-379 - [c70]Giovanni G. De Giacomo, Matheus Machado dos Santos, Paulo L. J. Drews-Jr
Cooperative Training of Triplet Networks for Cross-Domain Matching. LARS/SBR/WRE 2020: 1-6 - [c69]Ricardo B. Grando, Junior Costa de Jesus
Deep Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles. LARS/SBR/WRE 2020: 1-6 - [c68]Ricardo B. Grando, Pedro M. Pinheiro, Nicolas P. Bortoluzzi, César B. da Silva, Otávio F. Zauk, Mariana O. Piñeiro, Vivian M. Aoki, André L. S. da Kelbouscas, Ylanna B. Lima, Paulo L. J. Drews-Jr
Visual-based Autonomous Unmanned Aerial Vehicle for Inspection in Indoor Environments. LARS/SBR/WRE 2020: 1-6 - [c67]Alexandre C. Horn, Pedro M. Pinheiro, Ricardo B. Grando, César B. da Silva, Armando Alves Neto
A Novel Concept for Hybrid Unmanned Aerial Underwater Vehicles Focused on Aquatic Performance. LARS/SBR/WRE 2020: 1-6 - [c66]Claudio Dornelles Mello Jr., Bryan Umpierre Moreira, Paulo L. J. Drews-Jr
Alternative Underwater Image Restoration Based on Unsupervised Learning and Autoencoder with Degradation Block. LARS/SBR/WRE 2020: 1-6 - [c65]Rafael R. Teixeira, Igor P. Maurell, Paulo L. J. Drews-Jr
Security on ROS: analyzing and exploiting vulnerabilities of ROS-based systems. LARS/SBR/WRE 2020: 1-6 - [c64]Edwilson Silva Vaz Junior, Everson Fagundes de Toledo, Paulo L. J. Drews-Jr
Underwater Depth Estimation based on Water Classification using Monocular Image. LARS/SBR/WRE 2020: 1-6 - [c63]Marta Duarte, Victor Coch, Jovania Dias, Silvia Botelho, Nelson Duarte Filho, Paulo Drews Jr.
Thermographic Non-Invasive Inspection Modelling of Fertilizer Pipelines Using Neural Networks. SIBGRAPI 2020: 280-286 - [e1]Luiz Marcos Garcia Gonçalves, Paulo Lilles Jorge Drews Junior, Bruno Marques Ferreira da Silva, Davi Henrique dos Santos, Julio César Paulino de Melo, Carla da Costa Fernandes Curvelo, João Alberto Fabro:
Latin American Robotics Symposium, Brazilian Symposium on Robotics, and Workshop on Robotics in Education, LARS/SBR/WRE 2020, Natal, Brazil, November 9-12, 2020. IEEE 2020, ISBN 978-0-7381-1153-7 [contents]
2010 – 2019
- 2019
- [j11]Joel Felipe de Oliveira Gaya, Amanda Cardoso Duarte
Single Image Restoration for Participating Media Based on Prior Fusion. IEEE Computer Graphics and Applications 39(1): 71-83 (2019) - [j10]Matheus Machado dos Santos, Guilherme Brunei Zaffari, Pedro O. C. S. Ribeiro
Underwater place recognition using forward-looking sonar images: A topological approach. J. Field Robotics 36(2): 355-369 (2019) - [j9]Églen Protas
Visualization Methods for Image Transformation Convolutional Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2231-2243 (2019) - [c62]Matheus Machado dos Santos, Giovanni G. De Giacomo
Semantic Segmentation of Static and Dynamic Structures of Marina Satellite Images using Deep Learning. BRACIS 2019: 711-716 - [c61]Alexandre C. Horn, Pedro M. Pinheiro, César B. da Silva, Armando Alves Neto
A Study on Configuration of Propellers for Multirotor-like Hybrid Aerial-Aquatic Vehicles. ICAR 2019: 173-178 - [c60]Matheus Machado dos Santos, Giovanni G. De Giacomo
Underwater Sonar and Aerial Images Data Fusion for Robot Localization. ICAR 2019: 578-583 - [c59]Cristiano Rafael Steffens, Valquiria Huttner, Lucas Ricardo Vieira Messias, Paulo L. J. Drews-Jr
CNN-Based Luminance And Color Correction For ILL-Exposed Images. ICIP 2019: 3252-3256 - [c58]Camila Alves Dias, Jéssica C. S. Bueno, Eduardo N. Borges
Simulating the Behaviour of Choquet-Like (pre) Aggregation Functions for Image Resizing in the Pooling Layer of Deep Learning Networks. IFSA/NAFIPS 2019: 224-236 - [c57]Cristiano Rafael Steffens, Lucas Ricardo Vieira Messias, Paulo Drews Jr.
Contrast Enhancement and Image Completion: A CNN Based Model to Restore Ill Exposed Images. INDIN 2019: 226-232 - [c56]Cristiano Rafael Steffens, Lucas Ricardo Vieira Messias, Paulo Lilles Jorge Drews Junior
Can Exposure, Noise and Compression Affect Image Recognition? An Assessment of the Impacts on State-of-the-Art ConvNets. LARS/SBR/WRE 2019: 61-66 - [c55]Gustavo Henrique do Nascimento
A Perception System for an Autonomous Pesticide Boom Sprayer. LARS/SBR/WRE 2019: 86-91 - [c54]Matheus Machado dos Santos, Giovanni G. De Giacomo, Paulo Drews Jr.
Satellite and Underwater Sonar Image Matching Using Deep Learning. LARS/SBR/WRE 2019: 109-114 - [c53]Bruno Justo, Matheus Machado dos Santos, Paulo Lilles Jorge Drews Junior
3D Surfaces Reconstruction and Volume Changes in Underwater Environments Using MSIS Sonar. LARS/SBR/WRE 2019: 115-120 - [c52]Fábio P. Terra, Gabrielle da Rosa, Paulo Drews Jr.
Evaluation of the Pressure-Flow Relationship in a Boom of an Autonomous Robotic Agricultural Sprayer. LARS/SBR/WRE 2019: 228-233 - [c51]Lucas Caetano, Débora Debiaze de Paula, Eduardo do Amaral Leivas, Cristiano Rafael Steffens, Bryan Stefan, Matheus de Faria, Paulo Drews Jr.
Height Measurement and Adjustment of Welding Torch for Linear Welding Robot. LARS/SBR/WRE 2019: 258-262 - [c50]Edwilson Vaz, Átila Astor Weis, Paulo Drews Jr.
An Optimized Image Fusion Method for Fume Removal in Automated Welding Robots Field. LARS/SBR/WRE 2019: 275-280 - [c49]Marta Duarte, Victor Coch, Jovania Dias, Silvia Botelho, Nelson Duarte Filho, Paulo Drews Jr.
Non-Invasive Visual Computing Modelling for Obstruction Inspection of Pipes in the Fertilizer Industry. LARS/SBR/WRE 2019: 281-286 - [c48]Marcelo R. Pias, Silvia Botelho, Paulo Drews Jr.
Perfect Storm: DSAs Embrace Deep Learning for GPU-Based Computer Vision. SIBGRAPI Tutorials 2019: 8-21 - 2018
- [j8]Matheus Machado dos Santos
Object Recognition and Semantic Mapping for Underwater Vehicles Using Sonar Data. J. Intell. Robotic Syst. 91(2): 279-289 (2018) - [c47]Églen Protas, José Douglas Bratti, Pedro O. C. S. Ribeiro, Paulo Drews Jr.
Visualization Techniques Applied to Image-to-Image Translation. BRACIS 2018: 242-247 - [c46]Giovanni G. Giacomo
Sonar-to-Satellite Translation using Deep Learning. ICMLA 2018: 454-459 - [c45]Pedro O. C. S. Ribeiro, Matheus Machado dos Santos, Paulo Lilles Jorge Drews Junior
Underwater Place Recognition in Unknown Environments with Triplet Based Acoustic Image Retrieval. ICMLA 2018: 524-529 - [c44]Romulo Thiago Silva da Rosa, Paulo Jefferson Dias de Oliveira Evald
A Comparative Study on Sigma-Point Kalman Filters for Trajectory Estimation of Hybrid Aerial-Aquatic Vehicles. IROS 2018: 7460-7465 - [c43]Cristiano Rafael Steffens, Paulo Lilles Jorge Drews
Deep Learning Based Exposure Correction for Image Exposure Correction with Application in Computer Vision for Robotics. LARS/SBR/WRE 2018: 194-200 - [c42]Edwilson Silva Vaz Junior, Paulo Lilles Drews Junior
Image Processing for Automated Welding Robot: Reducing Interference due to Fume in Camera Lenses. LARS/SBR/WRE 2018: 207-212 - [c41]Matheus de Faria, Paulo Lilles Jorge Drews
Perception of an Opto-Mechanical Torch for Linear Welding Robot Using Monocular Camera. LARS/SBR/WRE 2018: 213-218 - [c40]Felipe Weber, Gabrielle da Rosa, Fábio P. Terra, Andre Oldoni, Paulo Drews Jr.
A Low Cost System to Optimize Pesticide Application Based on Mobile Technologies and Computer Vision. LARS/SBR/WRE 2018: 345-350 - [c39]Camila Alves Dias, Jéssica C. S. Bueno, Eduardo N. Borges
Using the Choquet Integral in the Pooling Layer in Deep Learning Networks. NAFIPS 2018: 144-154 - [c38]Edwilson Silva Vaz Junior, Paulo Lilles Jorge Drews Junior
Restoration of Images Affected by Welding Fume. SIBGRAPI 2018: 72-78 - [c37]Lucas Teixeira Goncalves, Joel Felipe de Oliveira Gaya, Paulo Lilles Jorge Drews Junior
GuidedNet: Single Image Dehazing Using an End-to-End Convolutional Neural Network. SIBGRAPI 2018: 79-86 - 2017
- [j7]Matheus Machado dos Santos, Pedro Otávio Cardozo de Souza Ribeiro, Pedro Núñez
Object Classification in Semi Structured Enviroment Using Forward-Looking Sonar. Sensors 17(10): 2235 (2017) - [c36]Iago Lourenço Correa
Deep Learning for Microalgae Classification. ICMLA 2017: 20-25 - [c35]Églen Protas, José Douglas Bratti, Joel D. O. Gaya, Paulo Drews Jr.
Understading Image Restoration Convolutional Neural Networks with Network Inversion. ICMLA 2017: 215-220 - [c34]Pedro Otávio Cardozo de Souza Ribeiro, Matheus Machado dos Santos, Paulo Lilles Jorge Drews Junior
Forward Looking Sonar Scene Matching Using Deep Learning. ICMLA 2017: 574-579 - [c33]Átila Astor Weis, Jusoan Lang Mor, Luciane B. Soares, Cristiano Rafael Steffens, Paulo Lilles Jorge Drews Junior
Automated seam tracking system based on passive monocular vision for automated linear robotic welding process. INDIN 2017: 305-310 - [c32]Hendry Ferreira Chame
Towards a biologically-inspired model for underwater localization based on sensory-motor coupling. LARS/SBR 2017: 1-6 - [c31]Romulo Thiago Silva da Rosa, Guilherme Brunei Zaffari, Paulo Jefferson Dias de Oliveira Evald
Towards comparison of Kalman filter methods for localisation in underwater environments. LARS/SBR 2017: 1-6 - [c30]Luciane B. Soares, Átila Astor Weis, Ricardo Nagel Rodrigues, Paulo Lilles Jorge Drews Junior
Seam tracking and welding bead geometry analysis for autonomous welding robot. LARS/SBR 2017: 1-6 - [c29]Lucas Teixeira Goncalves, Joel Felipe de Oliveira Gaya, Paulo Drews Jr.
DeepDive: An End-to-End Dehazing Method Using Deep Learning. SIBGRAPI 2017: 436-441 - 2016
- [j6]Paulo Drews Jr.
Underwater Depth Estimation and Image Restoration Based on Single Images. IEEE Computer Graphics and Applications 36(2): 24-35 (2016) - [c28]Iago Lourenço Correa
Supervised Microalgae Classification in Imbalanced Dataset. BRACIS 2016: 49-54 - [c27]A.-N. Ponce-Hinestroza, Luz Abril Torres-Méndez, Paulo Drews Jr.
Using a MRF-BP model with color adaptive training for underwater color restoration. ICPR 2016: 787-792 - [c26]Paulo Drews Jr.
Real-time monocular obstacle avoidance using Underwater Dark Channel Prior. IROS 2016: 4672-4677 - [c25]Joel D. O. Gaya, Lucas Teixeira Goncalves, Amanda Cardoso Duarte
Vision-Based Obstacle Avoidance Using Deep Learning. LARS/SBR 2016: 7-12 - [c24]M. Machado, Paulo Drews Jr.
Semantic Mapping on Underwater Environment Using Sonar Data. LARS/SBR 2016: 245-250 - [c23]Guilherme Brunei Zaffari, Matheus Machado dos Santos, Paulo Lilles Jorge Drews
Effects of Water Currents in a Continuous Attractor Neural Network for SLAM Applications. LARS/SBR 2016: 328-333 - 2015
- [c22]Armando Alves Neto
Attitude control for an Hybrid Unmanned Aerial Underwater Vehicle: A robust switched strategy with global stability. ICRA 2015: 395-400 - [c21]Paulo Drews Jr.
Automatic restoration of underwater monocular sequences of images. IROS 2015: 1058-1064 - [c20]Matheus Machado dos Santos, Pedro L. Ballester
A Topological Descriptor of Acoustic Images for Navigation and Mapping. LARS/SBR 2015: 289-294 - 2014
- [j5]Antônio Wilson Vieira, Paulo Lilles Jorge Drews Junior
Spatial Density Patterns for Efficient Change Detection in 3D Environment for Autonomous Surveillance Robots. IEEE Trans Autom. Sci. Eng. 11(3): 766-774 (2014) - [c19]Felipe Guth, Luan Silveira, Silvia Silva da Costa Botelho
Underwater SLAM: Challenges, state of the art, algorithms and a new biologically-inspired approach. BioRob 2014: 981-986 - [c18]Paulo Drews Jr.
Generalized Optical Flow Model for Scattering Media. ICPR 2014: 3999-4004 - [c17]Paulo Lilles Jorge Drews Junior
Hybrid Unmanned Aerial Underwater Vehicle: Modeling and simulation. IROS 2014: 4637-4642 - 2013
- [j4]Paulo Drews Jr.
Microalgae classification using semi-supervised and active learning based on Gaussian mixture models. J. Braz. Comput. Soc. 19(4): 411-422 (2013) - [j3]Paulo Drews Jr.
Novelty detection and segmentation based on Gaussian mixture models: A case study in 3D robotic laser mapping. Robotics Auton. Syst. 61(12): 1696-1709 (2013) - [c16]Paulo Drews Jr.
Improving change detection using Vertical Surface Normal Histograms and Gaussian Mixture Models in structured environments. ICAR 2013: 1-7 - [c15]Luan Silveira, Felipe Guth, Paulo Drews Jr.
3D robotic mapping: A biologic approach. ICAR 2013: 1-6 - [c14]Paulo Drews Jr.
Transmission Estimation in Underwater Single Images. ICCV Workshops 2013: 825-830 - [c13]Paulo Drews Jr.
Fast and adaptive 3D change detection algorithm for autonomous robots based on Gaussian Mixture Models. ICRA 2013: 4685-4690 - 2012
- [j2]Luan Silveira, Renan de Queiroz Maffei
Space D* - A path-planning algorithm for multiple robots in unknown environments. J. Braz. Comput. Soc. 18(4): 363-373 (2012) - [c12]Antônio Wilson Vieira, Paulo Lilles Jorge Drews Junior
Efficient change detection in 3D environment for autonomous surveillance robots based on implicit volume. ICRA 2012: 2999-3004 - [c11]Paulo L. J. Drews-Jr, Douglas G. Macharet, Mario F. M. Campos:
A Terrain-Based Path Planning for Mobile Robots with Bounded Curvature. LARS/SBR 2012: 202-207 - [c10]Mônica da Silva Figueiredo, Silvia Botelho, Paulo Drews Jr., Celina Häffele:
Spatial and Perceptive Mapping Using Semantically Self-Organizing Maps Applied to Mobile Robots. LARS/SBR 2012: 245-250 - [c9]Mônica da Silva Figueiredo, Silvia Silva da Costa Botelho
Self-Organizing Mapping of Robotic Environments Based on Neural Networks. SBRN 2012: 136-141 - 2010
- [c8]Paulo Drews Jr., João Quintas, Jorge Dias, Maria Andersson, Jonas Nygårds, Joakim Rydell:
Crowd behavior analysis under cameras network fusion using probabilistic methods. FUSION 2010: 1-8 - [c7]Kamrad Khoshhal, Hadi Aliakbarpour, João Quintas, Paulo Drews Jr., Jorge Dias:
Probabilistic LMA-based classification of human behaviour understanding using Power Spectrum technique. FUSION 2010: 1-7 - [c6]Paulo Drews Jr.
Novelty detection and 3D shape retrieval using superquadrics and multi-scale sampling for autonomous mobile robots. ICRA 2010: 3635-3640 - [c5]Pedro Núñez Trujillo
Change detection in 3D environments based on Gaussian Mixture Model and robust structural matching for autonomous robotic applications. IROS 2010: 2633-2638 - [c4]Gabriel Leivas Oliveira, Silvia S. C. Botelho
Sensor fusion based on multi-self-organizing maps for SLAM. MFI 2010: 139-143
2000 – 2009
- 2009
- [j1]Silvia Silva da Costa Botelho
Appearance-based odometry and mapping with feature descriptors for underwater robots. J. Braz. Comput. Soc. 15(3): 47-54 (2009) - [c3]Pedro Núñez, Paulo Drews Jr., Rui P. Rocha, Jorge Dias:
Data Fusion Calibration for a 3D Laser Range Finder and a Camera using Inertial Data. ECMR 2009: 31-36 - [c2]Diego R. Faria, José Augusto Prado, Paulo Drews Jr., Jorge Dias:
Object Shape Retrieval through Grasp Exploration. ECMR 2009: 43-48 - [c1]Pedro Núñez Trujillo
Novelty detection and 3D shape retrieval based on Gaussian Mixture Models for autonomous surveillance robotics. IROS 2009: 4724-4730
Coauthor Index
[j29] [j26] [c111] [c110] [c106] [c103] [c102] [c100] [j25] [j21] [j19] [c99] [c98] [c97] [c96] [i9] [i7] [j18] [j17] [j16] [c83] [c82] [c81] [c80] [j13] [j12] [c74] [c73] [c72] [c71] [c70] [c66] [c63] [j11] [j10] [j9] [c62] [c60] [c59] [c58] [c57] [c56] [c54] [c51] [c50] [c49] [c48] [j8] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c39] [c37] [j7] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [j6] [c25] [c24] [c23] [c20] [c19] [c15] [c14] [j2] [c10] [c9] [c4] [j1]
Mario Fernando Montenegro Campos
aka: Mario F. M. Campos
aka: Mario F. M. Campos
Nelson Duarte Filho
aka: Nelson L. Duarte Filho
aka: Nelson L. Duarte Filho
Giovanni G. Giacomo
aka: Giovanni G. De Giacomo
aka: Giovanni G. De Giacomo
Ricardo B. Grando
aka: Ricardo Bedin Grando
aka: Ricardo Bedin Grando
Pedro M. Pinheiro
aka: Pedro Miranda Pinheiro
aka: Pedro Miranda Pinheiro
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