1
TÍTULO: Enhancing Underwater Inspection Capabilities: A Learning-Based Approach for Automated Pipeline Visibility Assessment
AUTORES: Mina, Joao; Leite, Pedro Nuno ; Carvalho, Joao; Pinho, Lourenco; Goncalves, Eduardo P.; Pinto, Andry Maykol ;
PUBLICAÇÃO: 2024, FONTE: 6th Iberian Robotics Conference (Robot) in ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2, VOLUME: 978
INDEXADO EM: Scopus WOS CrossRef Unpaywall
NO MEU: ORCID
2
TÍTULO: NEREON - An Underwater Dataset for Monocular Depth Estimation
AUTORES: Dionisio, Joao M. M.; Pereira, Pedro N. A. A. S. ; Leite, Pedro N. ; Neves, Francisco S.; Tavares, Joao Manuel R. S.; Pinto, Andry M. ;
PUBLICAÇÃO: 2023, FONTE: OCEANS Conference in OCEANS 2023 - LIMERICK
INDEXADO EM: Scopus WOS CrossRef: 2
NO MEU: ORCID
3
TÍTULO: A 3-D Lightweight Convolutional Neural Network for Detecting Docking Structures in Cluttered Environments
AUTORES: Pereira, MI ; Leite, PN ; Pinto, AM ;
PUBLICAÇÃO: 2021, FONTE: MARINE TECHNOLOGY SOCIETY JOURNAL, VOLUME: 55, NÚMERO: 4
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
5
TÍTULO: Exploiting Motion Perception in Depth Estimation Through a Lightweight Convolutional Neural Network
AUTORES: Leite, PN ; Pinto, AM ;
PUBLICAÇÃO: 2021, FONTE: IEEE ACCESS, VOLUME: 9
INDEXADO EM: Scopus WOS CrossRef
NO MEU: ORCID
6
TÍTULO: Dense disparity maps from rgb and sparse depth information using deep regression models
AUTORES: Leite, PN ; Silva, RJ ; Campos, DF ; Pinto, AM ;
PUBLICAÇÃO: 2020, FONTE: 17th International Conference on Image Analysis and Recognition, ICIAR 2020 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12131 LNCS
INDEXADO EM: Scopus CrossRef: 1
NO MEU: ORCID
7
TÍTULO: Detecting Docking-based Structures for Persistent ASVs using a Volumetric Neural Network
AUTORES: Maria Ines Pereira ; Pedro Nuno Leite ; Andry Maykol Pinto ;
PUBLICAÇÃO: 2020, FONTE: Global OCEANS Singapore - U.S. Gulf Coast Conference in GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST
INDEXADO EM: Scopus WOS CrossRef: 3
NO MEU: ORCID
8
TÍTULO: Multi-Agent Optimization for Offshore Wind Farm Inspection using an Improved Population-based Metaheuristic
AUTORES: Silva, RJ ; Leite, PN ; Pinto, AM ;
PUBLICAÇÃO: 2020, FONTE: IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) in 2020 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2020)
INDEXADO EM: Scopus WOS CrossRef: 3
NO MEU: ORCID
9
TÍTULO: An Hierarchical Architecture for Docking Autonomous Surface Vehicles
AUTORES: Pedro Leite ; Renato Silva ; Anibal Matos ; Andry Maykol Pinto ;
PUBLICAÇÃO: 2019, FONTE: 19th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) in 2019 19TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2019)
INDEXADO EM: Scopus WOS CrossRef: 11
NO MEU: ORCID
10
TÍTULO: Hybrid Approach to Estimate a Collision-Free Velocity for Autonomous Surface Vehicles
AUTORES: Renato Silva ; Pedro Leite ; Daniel Campos ; Andry M Pinto ;
PUBLICAÇÃO: 2019, FONTE: 19th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) in 2019 19TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2019)
INDEXADO EM: Scopus WOS CrossRef: 4
NO MEU: ORCID