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

Rezultaty

Project Brochure

The project flyer doc is ready to produce In M3 the brochure is about the conceptual ideas, the M18 is with the preliminary results.

Project Website

The project web site is launch with the principal information about the project.

Report on Communication Activities

Report about the dissemination and communications activities. The report will be yearly updated.

Publikacje

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, Page(s) 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, Page(s) 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, Page(s) 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, Page(s) 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, Page(s) 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, Page(s) 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, Page(s) 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, Issue 55, 2020, Page(s) 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, Issue 5/2, 2019, Page(s) 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, Issue 19/8, 2019, Page(s) 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, Issue 43/1, 2019, Page(s) 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, Issue 39/3, 2019, Page(s) 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, Issue 20/17, 2020, Page(s) 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, Issue 93/3-4, 2019, Page(s) 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, Issue 21/4, 2019, Page(s) 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, Issue 68/4, 2021, Page(s) 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, Issue 16/3, 2019, Page(s) 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, Issue 5/2, 2019, Page(s) 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, Issue 8, 2020, Page(s) 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, Issue 10/9, 2020, Page(s) 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, Issue XLII-2/W10, 2019, Page(s) 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, Issue 12131, 2020, Page(s) 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, Issue 1092, 2020, Page(s) 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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