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Pedro Nuno Leite
Pedro Nuno Leite
Ph.D student at Faculty of Engineering of University of Porto; Researcher at INESC TEC,
Verified email at inesctec.pt - Homepage
Title
Cited by
Cited by
Year
An hierarchical architecture for docking autonomous surface vehicles
P Leite, R Silva, A Matos, AM Pinto
2019 IEEE International Conference on Autonomous Robot Systems and …, 2019
272019
Advancing Autonomous Surface Vehicles: A 3D Perception System for the Recognition and Assessment of Docking-Based Structures
MI Pereira, RM Claro, PN Leite, AM Pinto
IEEE Access 9, 53030-53045, 2021
262021
Exploiting Motion Perception in Depth Estimation Through a Lightweight Convolutional Neural Network
PN Leite, AM Pinto
IEEE Access 9, 76056-76068, 2021
172021
Hybrid approach to estimate a collision-free velocity for autonomous surface vehicles
R Silva, P Leite, D Campos, AM Pinto
2019 IEEE International Conference on Autonomous Robot Systems and …, 2019
102019
Dense disparity maps from RGB and sparse depth information using deep regression models
PN Leite, RJ Silva, DF Campos, AM Pinto
Image Analysis and Recognition: 17th International Conference, ICIAR 2020 …, 2020
82020
Fusing heterogeneous tri-dimensional information for reconstructing submerged structures in harsh sub-sea environments
PN Leite, AM Pinto
Information Fusion, 102126, 2023
62023
Detecting docking-based structures for persistent ASVs using a volumetric neural network
MI Pereira, PN Leite, AM Pinto
Global Oceans 2020: Singapore–US Gulf Coast, 1-6, 2020
52020
NEREON-An Underwater Dataset for Monocular Depth Estimation
JMM Dionísio, PN Pereira, PN Leite, FS Neves, JMRS Tavares, AM Pinto
OCEANS 2023-Limerick, 1-7, 2023
42023
Multi-Agent Optimization for Offshore Wind Farm Inspection using an Improved Population-based Metaheuristic
RJ Silva, PN Leite, AM Pinto
2020 IEEE International Conference on Autonomous Robot Systems and …, 2020
42020
A Self-Guided Docking Architecture for Autonomous Surface Vehicles
PNB Leite
PQDT-Global, 2019
32019
A 3-D Lightweight Convolutional Neural Network for Detecting Docking Structures in Cluttered Environments
MI Pereira, PN Leite, A Maykol Pinto
Marine Technology Society Journal 55 (4), 88-98, 2021
12021
Artificial Intelligence for Automated Marine Growth Segmentation
J Carvalho, PN Leite, J Mina, L Pinho, EP Gonçalves, AM Pinto
Iberian Robotics conference, 150-161, 2023
2023
Enhancing Underwater Inspection Capabilities: A Learning-Based Approach for Automated Pipeline Visibility Assessment
J Mina, PN Leite, J Carvalho, L Pinho, EP Gonçalves, AM Pinto
Iberian Robotics conference, 162-173, 2023
2023
An Hierarchical Architecture for Docking Autonomous Surface Vehicles
A Matos, AM Pinto, P Nuno, RJ Silva
2019
Fusing Heterogeneous Tri-Dimensional Information for Reconstructing Submerged Structures in Harsh Sub-Sea Environments
PN Leite, AM Pinto
Available at SSRN 4409685, 0
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