DeepField- Deep Learning in Field Robotics: from conceptualization towards implementation

Feature-based Underwater Localization using Imaging Sonar in Confined Environments

Autorzy: António J. Oliveira; Bruno M. Ferreira; Nuno A. Cruz
Opublikowane w: OCEANS 2021: San Diego – Porto, 2021
Wydawca: IEEE
DOI: 10.23919/oceans44145.2021.9705938

Real-time Wall Identification for Underwater Mapping using Imaging Sonar

Autorzy: António J. Oliveira; Bruno M. Ferreira; Nuno A. Cruz
Opublikowane w: OCEANS 2022, Hampton Roads, 2022
Wydawca: IEEE
DOI: 10.1109/oceans47191.2022.9977102

A robotic solution for NETTAG lost fishing net problem

Autorzy: Alfredo Martins; Carlos Almeida; Paula Lima; Diana Viegas; José Silva; José Miguel Almeida; Cristina Almeida; Sandra Ramos
Opublikowane w: Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020
Wydawca: IEEE
DOI: 10.1109/ieeeconf38699.2020.9389464

Multi-Agent Optimization for Offshore Wind Farm Inspection using an Improved Population-based Metaheuristic

Autorzy: Renato Jorge Silva; Pedro Nuno Leite; Andry Maykol Pinto
Opublikowane w: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2020
Wydawca: IEEE
DOI: 10.1109/icarsc49921.2020.9096107

An Autonomous System for Collecting Water Samples from the Surface

Autorzy: André F. Pinto; Nuno A. Cruz; Bruno M. Ferreira; Nuno M. Abreu; Carlos F. Gonçalves; Murillo P. Villa; Aníbal C. Matos; Leonardo ...
Opublikowane w: Chennai, India, 2022
Wydawca: IEEE
DOI: 10.1109/oceanschennai45887.2022.9775519

Multi-domain Mapping for Offshore Asset Inspection using an Autonomous Surface Vehicle

Autorzy: Daniel Filipe Campos, Anibal Matos, Andry Maykol Pinto
Opublikowane w: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2020, Strona(/y) 221-226, ISBN 978-1-7281-7078-7
Wydawca: IEEE
DOI: 10.1109/icarsc49921.2020.9096097

Limit Characterization for Visual Place Recognition in Underwater Scenes

Autorzy: Ana Rita Gaspar, Alexandra Nunes & Aníbal Matos
Opublikowane w: ROBOT2022: Fifth Iberian Robotics Conference, 2022, ISBN 978-3-031-21065-5
Wydawca: Spinger
DOI: 10.1007/978-3-031-21065-5_6

Image segmentation and mapping in an underwater environment using an imaging sonar

Autorzy: Paulo M. Gonçalves; Bruno M. Ferreira; José C. Alves; Nuno A. Cruz
Opublikowane w: OCEANS 2022, Hampton Roads, 2022
Wydawca: IEEE
DOI: 10.1109/oceans47191.2022.9977217

LiDAR-based Power Assets Extraction based on Point Cloud Data

Autorzy: M. Amado; F. Lopes; A. Dias; A. Martins
Opublikowane w: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021
Wydawca: IEEE
DOI: 10.1109/icarsc52212.2021.9429772

Occupancy Grid Mapping from 2D SONAR Data for Underwater Scenes

Autorzy: Alexandra Nunes; Ana Rita Gaspar; Aníbal Matos
Opublikowane w: OCEANS 2021: San Diego – Porto, 2021
Wydawca: IEEE
DOI: 10.23919/oceans44145.2021.9705764

Variable Pitch System for the Underwater Explorer Robot UX-1*

Autorzy: Ramon A. Suarez Fernandez; Davide Grande; Luca Bascetta; Alfredo Martins; Sergio Dominguez; Claudio Rossi
Opublikowane w: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
Wydawca: IEEE
DOI: 10.1109/iros45743.2020.9341759

Autonomous High-Resolution Image Acquisition System for Plankton

Autorzy: João Resende; Pedro Barbosa; José Almeida; Alfredo Martins
Opublikowane w: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021
Wydawca: IEEE
DOI: 10.1109/icarsc52212.2021.9429789

3D Reconstruction of Historical Sites using an UAV

Autorzy: P. Silva, A. Dias, A. Pires. T. Santos, A. Amaral, P. Rodrigues, J. Almeida and E. Silva
Opublikowane w: CLAWAR 2020: 23rd International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, 2020
Wydawca: CLAWAR
DOI: 10.13180/clawar.2020.24-26.08.46

A Modular Inductive Wireless Charging Solution for Autonomous Underwater Vehicles

Autorzy: Lucas Rebelo Agostinho; Nuno Canizes Ricardo; Renato Jorge Silva; Andry Maykol Pinto
Opublikowane w: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021
Wydawca: IEEE
DOI: 10.1109/icarsc52212.2021.9429785

Graph-SLAM Approach for Indoor UAV Localization in Warehouse Logistics Applications

Autorzy: A. Moura; J. Antunes; A. Dias; A. Martins; J. Almeida
Opublikowane w: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021
Wydawca: Springer
DOI: 10.1109/icarsc52212.2021.9429791

ATLANTIS - The Atlantic Testing Platform for Maritime Robotics

Autorzy: Andry Maykol Pinto; João V. Amorim Marques; Daniel Filipe Campos; Nuno Abreu; Aníbal Matos; Martio Jussi; Robin Berglund
Opublikowane w: OCEANS 2021: San Diego – Porto, 2021
Wydawca: IEEE
DOI: 10.23919/oceans44145.2021.9706059

Evaluation of Bags of Binary Words for Place Recognition in Challenging Scenarios

Autorzy: Ana Rita Gaspar; Alexandra Nunes; Aníbal Matos
Opublikowane w: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021
Wydawca: IEEE
DOI: 10.1109/icarsc52212.2021.9429799

UDMSim: A Simulation Platform for Underwater Data Muling Communications

Autorzy: Filipe B. Teixeira; Nuno Moreira; Nuno Abreu; Bruno Ferreira; Manuel Ricardo; Rui Campos
Opublikowane w: 2020 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2020
Wydawca: IEEE
DOI: 10.1109/wimob50308.2020.9253412

Experimental evaluation of segmentation algorithms for corner detection in sonar images

Autorzy: Pedro L. Oliveira, Bruno M. Ferreira, Nuno A. Cruz
Opublikowane w: OCEANS 2019 MTS/IEEE SEATTLE, 2019, Strona(/y) 1-10, ISBN 978-0-578-57618-3
Wydawca: IEEE
DOI: 10.23919/oceans40490.2019.8962756

DIIUS - Distributed Perception for Inspection of Aquatic Structures

Autorzy: Daniel Filipe Campos; Maria Pereira; Aníbal Matos; Andry Maykol Pinto
Opublikowane w: OCEANS 2021: San Diego – Porto, 2021
Wydawca: IEEE
DOI: 10.23919/oceans44145.2021.9705939

Multiple Vessel Detection and Tracking in Harsh Maritime Environments

Autorzy: Diogo Ferreira Duarte; Maria Inês Pereira; Andry Maykol Pinto
Opublikowane w: OCEANS 2021: San Diego – Porto, 2021
Wydawca: IEEE
DOI: 10.23919/oceans44145.2021.9705954

Feedfirst: Intelligent monitoring system for indoor aquaculture tanks

Autorzy: Bernardo Teixeira; Ana Paula Lima; Carlos Pinho; Diana Viegas; Nuno Dias; Hugo Silva; José Almeida
Opublikowane w: OCEANS 2022, Hampton Roads, 2022
Wydawca: IEEE
DOI: 10.1109/oceans47191.2022.9976979

Critical object recognition in underwater environment

Autorzy: Alexandra Nunes, Ana Rita Gaspar, Anibal Matos
Opublikowane w: OCEANS 2019 - Marseille, 2019, Strona(/y) 1-6, ISBN 978-1-7281-1450-7
Wydawca: IEEE
DOI: 10.1109/oceanse.2019.8867360

Supervised vs Unsupervised Approaches for Real Time Hyperspectral Imaging Maritime Target Detection

Autorzy: Sara Freitas, Hugo Silva, Jose Almeida, Alfredo Martins, Eduardo Silva
Opublikowane w: 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO), 2018, Strona(/y) 1-6, ISBN 978-1-5386-1654-3
Wydawca: IEEE
DOI: 10.1109/oceanskobe.2018.8559324

Supervised classification for hyperspectral imaging in UAV maritime target detection

Autorzy: Sara Freitas, Carlos Almeida, Hugo Silva, Jose Almeida, Eduardo Silva
Opublikowane w: 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2018, Strona(/y) 84-90, ISBN 978-1-5386-5221-3
Wydawca: IEEE
DOI: 10.1109/icarsc.2018.8374165

Submarine Cables as Precursors of Persistent Systems for Large Scale Oceans Monitoring and Autonomous Underwater Vehicles Operation

Autorzy: Marcos Tieppo; Eduardo Pereira; Laura González Garcia; Margarida Rolim; Emanuel Castanho; Aníbal Matos; António Silva ...
Opublikowane w: OCEANS 2022, Hampton Roads, 2022
Wydawca: IEEE
DOI: 10.1109/oceans47191.2022.9977360

A MULTI-AGENT SYSTEM FOR AUTONOMOUS MOBILE ROBOT COORDINATION

Autorzy: Norberto Sousa, Nuno Oliveira and Isabel Praça
Opublikowane w: MODELLING AND SIMULATION 2021: 35TH ANNUAL EUROPEAN SIMULATION AND MODELLING CONFERENCE 2021 (ESM 2021), 2021
Wydawca: ArXiv
DOI: 10.48550/arxiv.2109.12386

Detecting Docking-based Structures for Persistent ASVs using a Volumetric Neural Network

Autorzy: Maria Inês Pereira; Pedro Nuno Leite; Andry Maykol Pinto
Opublikowane w: Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020
Wydawca: IEEE
DOI: 10.1109/ieeeconf38699.2020.9389349

Hyperspectral Imaging System for Marine Litter Detection

Autorzy: Sara Freitas; Hugo Silva; Carlos Almeida; Diana Viegas; Alexandre Amaral; Tiago Santos; André Dias; Pedro A. S. Jorge (...)
Opublikowane w: OCEANS 2021: San Diego – Porto, 2021
Wydawca: IEEE
DOI: 10.23919/oceans44145.2021.9705953

Survey of approaches for emergency landing spot detection with unmanned aerial vehicles

Autorzy: Gabriel Loureiro, André Dias, Alfredo Martins
Opublikowane w: CLAWAR 2020: 23rd International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines,, 2020
Wydawca: CLAWAR

Underwater Object Recognition: A Domain-Adaption Methodology of Machine Learning Classifiers

Autorzy: Antonio Pedro Oliva Afonso, Andry Maykol Pinto
Opublikowane w: OCEANS 2019 MTS/IEEE SEATTLE, 2019, Strona(/y) 1-6, ISBN 978-0-578-57618-3
Wydawca: IEEE
DOI: 10.23919/oceans40490.2019.8962693

Detection and Mapping of Monopiles in Offshore Wind Farms using Autonomous Surface Vehicles

Autorzy: Rafael Claro; Renato Silva; Andry Pinto
Opublikowane w: Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020
Wydawca: IEEE
DOI: 10.1109/ieeeconf38699.2020.9389348

Unmanned Aerial Vehicle for Wind-Turbine Inspection. Next Step: Offshore

Autorzy: A. Dias; J. Almeida; A. Oliveira; T. Santos; A. Martins; E. Silva
Opublikowane w: OCEANS 2022, Hampton Roads, 2022
Wydawca: IEEE
DOI: 10.1109/oceans47191.2022.9977308

A low-cost, low-power and low-size multi-parameter station for real-time and online monitoring of the coastal area

Autorzy: T. Matos; J. L. Rocha; H. Dinis; C. L. Faria; M. S. Martins; Renato Henriques; L.M. Goncalves
Opublikowane w: OCEANS 2022, Hampton Roads, 2022
Wydawca: IEEE
DOI: 10.1109/oceans47191.2022.9977347

Deep Learning Approaches Assessment for Underwater Scene Understanding and Egomotion Estimation

Autorzy: Bernardo Teixeira, Hugo Silva, Anibal Matos, Eduardo Silva
Opublikowane w: OCEANS 2019 MTS/IEEE SEATTLE, 2019, Strona(/y) 1-9, ISBN 978-0-578-57618-3
Wydawca: IEEE
DOI: 10.23919/oceans40490.2019.8962872

A SMACC based mission control system for autonomous underwater vehicles

Autorzy: David Carvalho; Alfredo Martins; José Miguel Almeida; Eduardo Silva
Opublikowane w: OCEANS 2022, Hampton Roads, 2022
Wydawca: IEEE
DOI: 10.1109/oceans47191.2022.9977228

MARA - A modular underwater robot for confined spaces exploration

Autorzy: Alfredo Martins; José Almeida; Carlos Almeida; Ricardo Pereira; Denys Sytnyk; Eduardo Soares; Bruno Matias; Tiago Pereira; Eduardo Silva
Opublikowane w: Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020
Wydawca: IEEE
DOI: 10.1109/ieeeconf38699.2020.9388981

Sonar-based Cable Detection for in-situ Calibration of Marine Sensors

Autorzy: António J. Oliveira; Bruno M. Ferreira; Roee Diamant; Nuno A. Cruz
Opublikowane w: 2022 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 2022
Wydawca: IEEE
DOI: 10.1109/auv53081.2022.9965846

End-to-End Detection of a Landing Platform for Offshore UAVs Based on a Multimodal Early Fusion Approach

Autorzy: Neves, Francisco Soares, Rafael Marques Claro, and Andry Maykol Pinto
Opublikowane w: Sensors, 2022, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23052434

MARESye: A hybrid imaging system for underwater robotic applications

Autorzy: Andry Maykol Pinto, Anibal C. Matos
Opublikowane w: Information Fusion, Numer 55, 2020, Strona(/y) 16-29, ISSN 1566-2535
Wydawca: Elsevier BV
DOI: 10.1016/j.inffus.2019.07.014

Modular Multi-Domain Aware Autonomous Surface Vehicle for Inspection

Autorzy: DANIEL FILIPE CAMPOS , ANÍBAL MATOS , ANDRY MAYKOL PINTO
Opublikowane w: IEEE Access, 2022, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3217504

A Practical Survey on Visual Odometry for Autonomous Driving in Challenging Scenarios and Conditions

Autorzy: Lucas R. Agostinho; Nuno M. Ricardo; Maria I. Pereira; Antoine Hiolle; Andry M. Pinto
Opublikowane w: IEEE ACCESS, 2022, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3188990

Simultaneous Underwater Navigation and Mapping

Autorzy: Ana Rita Silva Gaspar, Aníbal Matos
Opublikowane w: U.Porto Journal of Engineering, Numer 5/2, 2019, Strona(/y) 1-9, ISSN 2183-6493
Wydawca: Universidade do Porto
DOI: 10.24840/2183-6493_005.002_0001

Automatic Detection of Corrosion in Large-Scale Industrial Buildings Based on Artificial Intelligence and Unmanned Aerial Vehicles

Autorzy: Rafael Lemos, Rafael Cabral, Diogo Ribeiro, Ricardo Santos, Vinicius Alves, André Dias
Opublikowane w: Applied Sciences, 2023, ISSN 2076-3417
Wydawca: MDPI
DOI: 10.3390/app13031386

Exploiting Motion Perception in Depth Estimation Through a Lightweight Convolutional Neural Network

Autorzy: Pedro Nuno Leite; Andry Maykol Pinto
Opublikowane w: IEEE Access, 2021, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3082697

LiDAR-Based Real-Time Detection and Modeling of Power Lines for Unmanned Aerial Vehicles

Autorzy: Fábio Azevedo, André Dias, José Almeida, Alexandre Oliveira, André Ferreira, Tiago Santos, Alfredo Martins, Eduardo Silva
Opublikowane w: Sensors, Numer 19/8, 2019, Strona(/y) 1812, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19081812

Tracking multiple Autonomous Underwater Vehicles

Autorzy: José Melo, Aníbal C. Matos
Opublikowane w: Autonomous Robots, Numer 43/1, 2019, Strona(/y) 1-20, ISSN 0929-5593
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10514-018-9696-7

A mosaicking technique for object identification in underwater environments

Autorzy: Alexandra Pereira Nunes, Ana Rita Silva Gaspar, Andry M. Pinto, Aníbal Castilho Matos
Opublikowane w: Sensor Review, Numer 39/3, 2019, Strona(/y) 387-396, ISSN 0260-2288
Wydawca: Emerald Group Publishing Ltd.
DOI: 10.1108/sr-04-2018-0089

Decoding Reinforcement Learning for Newcomers

Autorzy: Francisco S. Neves; Gustavo A. Andrade; Matheus F. Reis; A. Pedroxg1 Aguiar; Andry Maykol Pinto
Opublikowane w: IEEE ACCESS, 2022, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3279729

Underwater Localization System Combining iUSBL with Dynamic SBL in ¡VAMOS! Trials

Autorzy: José Almeida, Bruno Matias, António Ferreira, Carlos Almeida, Alfredo Martins, Eduardo Silva
Opublikowane w: Sensors, Numer 20/17, 2020, Strona(/y) 4710, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20174710

Advancing Autonomous Surface Vehicles: A 3D Perception System for the Recognition and Assessment of Docking-Based Structures

Autorzy: M. I. Pereira, R. M. Claro, P. N. Leite and A. M. Pinto
Opublikowane w: IEEE Access, 2021, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3070694

ISEP/INESC TEC Aerial Robotics Team for Search and Rescue Operations at the euRathlon 2015

Autorzy: P. Sousa, A. Ferreira, M. Moreira, T. Santos, A. Martins, A. Dias, J. Almeida, E. Silva
Opublikowane w: Journal of Intelligent & Robotic Systems, Numer 93/3-4, 2019, Strona(/y) 447-460, ISSN 0921-0296
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10846-018-0772-1

A data‐driven particle filter for terrain based navigation of sensor‐limited autonomous underwater vehicles

Autorzy: José Melo, Aníbal Matos
Opublikowane w: Asian Journal of Control, Numer 21/4, 2019, Strona(/y) 1659-1670, ISSN 1561-8625
Wydawca: Chinese Automatic Control Society
DOI: 10.1002/asjc.2107

A 3-D Lightweight Convolutional Neural Network for Detecting Docking Structures in Cluttered Environments

Autorzy: Pereira, Maria Inês; Leite, Pedro Nuno; Maykol Pinto, Andry
Opublikowane w: Marine Technology Society Journal, 2021, ISSN 0025-3324
Wydawca: Marine Technology Society, Inc.
DOI: 10.4031/mtsj.55.4.9

3DupIC: An Underwater Scan Matching Method for Three-Dimensional Sonar Registration

Autorzy: Ferreira, A, Almeida, J, Martins, A, Matos, A, Silva, E
Opublikowane w: SENSORS, 2022, ISSN 1424-8220
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22103631

Emergency Landing Spot Detection for Unmanned Aerial Vehicle

Autorzy: Gabriel Loureiro, Dias, A., Almeida, J., Martins, A.
Opublikowane w: Remote Sensing, 2021, ISSN 2072-4292
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13101930

DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning

Autorzy: Ruihao Li, Sen Wang, Dongbing Gu
Opublikowane w: IEEE Transactions on Industrial Electronics, Numer 68/4, 2021, Strona(/y) 3577-3587, ISSN 0278-0046
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tie.2020.2982096

Improving the preparedness against an oil spill: Evaluation of the influence of environmental parameters on the operability of unmanned vehicles

Autorzy: A.M. Bernabeu, M. Plaza-Morlote, D. Rey, M. Almeida, A. Dias, A.P. Mucha
Opublikowane w: Marine Pollution Bulletin, 2021, ISSN 0025-326X
Wydawca: Pergamon Press Ltd.
DOI: 10.1016/j.marpolbul.2021.112791

Variable Buoyancy or Propeller-Based Systems for Hovering Capable Vehicles: An Energetic Comparison

Autorzy: João Falcão Carneiro; João Bravo Pinto; Fernando Gomes de Almeida; Nuno A. Cruz
Opublikowane w: IEEE Journal of Oceanic Engineering, 2021, ISSN 0364-9059
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/joe.2020.3000703

Convolutional neural network target detection in hyperspectral imaging for maritime surveillance

Autorzy: Sara Freitas, Hugo Silva, José Miguel Almeida, Eduardo Silva
Opublikowane w: International Journal of Advanced Robotic Systems, Numer 16/3, 2019, Strona(/y) 172988141984299, ISSN 1729-8814
Wydawca: SAGE jounals
DOI: 10.1177/1729881419842991

Three-Dimensional Mapping in Underwater Environment

Autorzy: Alexandra Pereira Nunes, Aníbal Matos
Opublikowane w: U.Porto Journal of Engineering, Numer 5/2, 2019, Strona(/y) 10-18, ISSN 2183-6493
Wydawca: Universidade do Porto
DOI: 10.24840/2183-6493_005.002_0002

Deep Learning for Underwater Visual Odometry Estimation

Autorzy: Bernardo Teixeira, Hugo Silva, Anibal Matos, Eduardo Silva
Opublikowane w: IEEE Access, Numer 8, 2020, Strona(/y) 44687-44701, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.2978406

MViDO: A High Performance Monocular Vision-Based System for Docking A Hovering AUV

Autorzy: André Bianchi Figueiredo, Aníbal Coimbra Matos
Opublikowane w: Applied Sciences, Numer 10/9, 2020, Strona(/y) 2991, ISSN 2076-3417
Wydawca: MDPI
DOI: 10.3390/app10092991

A Performance Analysis of Feature Extraction Algorithms for Acoustic Image-Based Underwater Navigation

Autorzy: Oliveira, António José, Bruno Miguel Ferreira, and Nuno Alexandre Cruz
Opublikowane w: Journal of Marine Science and Engineering, 2021, ISSN 2077-1312
Wydawca: MDPI
DOI: 10.3390/jmse9040361

Deep learning point cloud odometry: Existing approaches and open challenges

Autorzy: Bernardo Teixeira, Hugo SIlva
Opublikowane w: U.Porto Journal of Engineering, 2021, ISSN 2183-6493
Wydawca: Universidade do Porto
DOI: 10.24840/2183-6493_007.003_0006

Hyperspectral Imaging Zero-Shot Learning for Remote Marine Litter Detection and Classification

Autorzy: Sara Freitas, Hugo SIlva, Eduardo Silva
Opublikowane w: Remote Sensing, 2022, ISSN 2072-4292
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14215516

Remote Hyperspectral Imaging Acquisition and Characterization for Marine Litter Detection

Autorzy: Sara Freitas, Hugo Silva, Eduardo Silva
Opublikowane w: Remote Sensing, 2021, ISSN 2072-4292
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13132536

3D UNDERWATER MINE MODELLING IN THE ¡VAMOS! PROJECT

Autorzy: M. Bleier, C. Almeida, A. Ferreira, R. Pereira, B. Matias, J. Almeida, J. Pidgeon, J. van der Lucht, K. Schilling, A. Martins, E. Silva, A. Nüchter
Opublikowane w: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Numer XLII-2/W10, 2019, Strona(/y) 39-44, ISSN 2194-9034
Wydawca: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
DOI: 10.5194/isprs-archives-xlii-2-w10-39-2019

Multi-criteria metric to evaluate motion planners for underwater intervention

Autorzy: Renato Silva, Aníbal Matos, Andry Maykol Pinto
Opublikowane w: Autonomous Robots, 2022, ISSN 0929-5593
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s10514-022-10060-x

Dense Disparity Maps from RGB and Sparse Depth Information Using Deep Regression Models

Autorzy: Pedro Nuno Leite, Renato Jorge Silva, Daniel Filipe Campos, Andry Maykol Pinto
Opublikowane w: Image Analysis and Recognition - 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I, Numer 12131, 2020, Strona(/y) 379-392, ISBN 978-3-030-50346-8
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-50347-5_33

New Approaches to Study Jellyfish

Autorzy: Catarina Magalhães, Alfredo Martins, Antonina Dos Santos
Opublikowane w: Zooplankton Ecology, 2020, ISBN 9781351021821
Wydawca: CRC Press
DOI: 10.1201/9781351021821

Evaluation of Lightweight Convolutional Neural Networks for Real-Time Electrical Assets Detection

Autorzy: Joel Barbosa, André Dias, José Almeida, Eduardo Silva
Opublikowane w: Robot 2019: Fourth Iberian Robotics Conference - Advances in Robotics, Volume 1, Numer 1092, 2020, Strona(/y) 99-112, ISBN 978-3-030-35989-8
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-35990-4_9

"""Deep Learning Approaches Assessment for Underwater Scene Understanding and Egomotion Estimation"""

Autorzy: Bernardo Teixeira
Opublikowane w: 2019
Wydawca: Universidade do Porto

A comparative study of machine learning techniques for underwater visual object recognition

Autorzy: António Pedro Oliva Afonso
Opublikowane w: 2019
Wydawca: Universidade do Porto

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