Skip to main content
European Commission logo print header

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

Livrables

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.

Publications

Feature-based Underwater Localization using Imaging Sonar in Confined Environments

Auteurs: António J. Oliveira; Bruno M. Ferreira; Nuno A. Cruz
Publié dans: OCEANS 2021: San Diego – Porto, 2021
Éditeur: IEEE
DOI: 10.23919/oceans44145.2021.9705938

Real-time Wall Identification for Underwater Mapping using Imaging Sonar

Auteurs: António J. Oliveira; Bruno M. Ferreira; Nuno A. Cruz
Publié dans: OCEANS 2022, Hampton Roads, 2022
Éditeur: IEEE
DOI: 10.1109/oceans47191.2022.9977102

A robotic solution for NETTAG lost fishing net problem

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

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

Auteurs: Renato Jorge Silva; Pedro Nuno Leite; Andry Maykol Pinto
Publié dans: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2020
Éditeur: IEEE
DOI: 10.1109/icarsc49921.2020.9096107

An Autonomous System for Collecting Water Samples from the Surface

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

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

Auteurs: Daniel Filipe Campos, Anibal Matos, Andry Maykol Pinto
Publié dans: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2020, Page(s) 221-226, ISBN 978-1-7281-7078-7
Éditeur: IEEE
DOI: 10.1109/icarsc49921.2020.9096097

Limit Characterization for Visual Place Recognition in Underwater Scenes

Auteurs: Ana Rita Gaspar, Alexandra Nunes & Aníbal Matos
Publié dans: ROBOT2022: Fifth Iberian Robotics Conference, 2022, ISBN 978-3-031-21065-5
Éditeur: Spinger
DOI: 10.1007/978-3-031-21065-5_6

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

Auteurs: Paulo M. Gonçalves; Bruno M. Ferreira; José C. Alves; Nuno A. Cruz
Publié dans: OCEANS 2022, Hampton Roads, 2022
Éditeur: IEEE
DOI: 10.1109/oceans47191.2022.9977217

LiDAR-based Power Assets Extraction based on Point Cloud Data

Auteurs: M. Amado; F. Lopes; A. Dias; A. Martins
Publié dans: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021
Éditeur: IEEE
DOI: 10.1109/icarsc52212.2021.9429772

Occupancy Grid Mapping from 2D SONAR Data for Underwater Scenes

Auteurs: Alexandra Nunes; Ana Rita Gaspar; Aníbal Matos
Publié dans: OCEANS 2021: San Diego – Porto, 2021
Éditeur: IEEE
DOI: 10.23919/oceans44145.2021.9705764

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

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

Autonomous High-Resolution Image Acquisition System for Plankton

Auteurs: João Resende; Pedro Barbosa; José Almeida; Alfredo Martins
Publié dans: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021
Éditeur: IEEE
DOI: 10.1109/icarsc52212.2021.9429789

3D Reconstruction of Historical Sites using an UAV

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

A Modular Inductive Wireless Charging Solution for Autonomous Underwater Vehicles

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

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

Auteurs: A. Moura; J. Antunes; A. Dias; A. Martins; J. Almeida
Publié dans: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021
Éditeur: Springer
DOI: 10.1109/icarsc52212.2021.9429791

ATLANTIS - The Atlantic Testing Platform for Maritime Robotics

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

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

Auteurs: Ana Rita Gaspar; Alexandra Nunes; Aníbal Matos
Publié dans: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2021
Éditeur: IEEE
DOI: 10.1109/icarsc52212.2021.9429799

UDMSim: A Simulation Platform for Underwater Data Muling Communications

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

Experimental evaluation of segmentation algorithms for corner detection in sonar images

Auteurs: Pedro L. Oliveira, Bruno M. Ferreira, Nuno A. Cruz
Publié dans: OCEANS 2019 MTS/IEEE SEATTLE, 2019, Page(s) 1-10, ISBN 978-0-578-57618-3
Éditeur: IEEE
DOI: 10.23919/oceans40490.2019.8962756

DIIUS - Distributed Perception for Inspection of Aquatic Structures

Auteurs: Daniel Filipe Campos; Maria Pereira; Aníbal Matos; Andry Maykol Pinto
Publié dans: OCEANS 2021: San Diego – Porto, 2021
Éditeur: IEEE
DOI: 10.23919/oceans44145.2021.9705939

Multiple Vessel Detection and Tracking in Harsh Maritime Environments

Auteurs: Diogo Ferreira Duarte; Maria Inês Pereira; Andry Maykol Pinto
Publié dans: OCEANS 2021: San Diego – Porto, 2021
Éditeur: IEEE
DOI: 10.23919/oceans44145.2021.9705954

Feedfirst: Intelligent monitoring system for indoor aquaculture tanks

Auteurs: Bernardo Teixeira; Ana Paula Lima; Carlos Pinho; Diana Viegas; Nuno Dias; Hugo Silva; José Almeida
Publié dans: OCEANS 2022, Hampton Roads, 2022
Éditeur: IEEE
DOI: 10.1109/oceans47191.2022.9976979

Critical object recognition in underwater environment

Auteurs: Alexandra Nunes, Ana Rita Gaspar, Anibal Matos
Publié dans: OCEANS 2019 - Marseille, 2019, Page(s) 1-6, ISBN 978-1-7281-1450-7
Éditeur: IEEE
DOI: 10.1109/oceanse.2019.8867360

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

Auteurs: Sara Freitas, Hugo Silva, Jose Almeida, Alfredo Martins, Eduardo Silva
Publié dans: 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO), 2018, Page(s) 1-6, ISBN 978-1-5386-1654-3
Éditeur: IEEE
DOI: 10.1109/oceanskobe.2018.8559324

Supervised classification for hyperspectral imaging in UAV maritime target detection

Auteurs: Sara Freitas, Carlos Almeida, Hugo Silva, Jose Almeida, Eduardo Silva
Publié dans: 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), 2018, Page(s) 84-90, ISBN 978-1-5386-5221-3
Éditeur: IEEE
DOI: 10.1109/icarsc.2018.8374165

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

Auteurs: Marcos Tieppo; Eduardo Pereira; Laura González Garcia; Margarida Rolim; Emanuel Castanho; Aníbal Matos; António Silva ...
Publié dans: OCEANS 2022, Hampton Roads, 2022
Éditeur: IEEE
DOI: 10.1109/oceans47191.2022.9977360

A MULTI-AGENT SYSTEM FOR AUTONOMOUS MOBILE ROBOT COORDINATION

Auteurs: Norberto Sousa, Nuno Oliveira and Isabel Praça
Publié dans: MODELLING AND SIMULATION 2021: 35TH ANNUAL EUROPEAN SIMULATION AND MODELLING CONFERENCE 2021 (ESM 2021), 2021
Éditeur: ArXiv
DOI: 10.48550/arxiv.2109.12386

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

Auteurs: Maria Inês Pereira; Pedro Nuno Leite; Andry Maykol Pinto
Publié dans: Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020
Éditeur: IEEE
DOI: 10.1109/ieeeconf38699.2020.9389349

Hyperspectral Imaging System for Marine Litter Detection

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

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

Auteurs: Gabriel Loureiro, André Dias, Alfredo Martins
Publié dans: CLAWAR 2020: 23rd International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines,, 2020
Éditeur: CLAWAR

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

Auteurs: Antonio Pedro Oliva Afonso, Andry Maykol Pinto
Publié dans: OCEANS 2019 MTS/IEEE SEATTLE, 2019, Page(s) 1-6, ISBN 978-0-578-57618-3
Éditeur: IEEE
DOI: 10.23919/oceans40490.2019.8962693

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

Auteurs: Rafael Claro; Renato Silva; Andry Pinto
Publié dans: Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020
Éditeur: IEEE
DOI: 10.1109/ieeeconf38699.2020.9389348

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

Auteurs: A. Dias; J. Almeida; A. Oliveira; T. Santos; A. Martins; E. Silva
Publié dans: OCEANS 2022, Hampton Roads, 2022
Éditeur: 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

Auteurs: T. Matos; J. L. Rocha; H. Dinis; C. L. Faria; M. S. Martins; Renato Henriques; L.M. Goncalves
Publié dans: OCEANS 2022, Hampton Roads, 2022
Éditeur: IEEE
DOI: 10.1109/oceans47191.2022.9977347

Deep Learning Approaches Assessment for Underwater Scene Understanding and Egomotion Estimation

Auteurs: Bernardo Teixeira, Hugo Silva, Anibal Matos, Eduardo Silva
Publié dans: OCEANS 2019 MTS/IEEE SEATTLE, 2019, Page(s) 1-9, ISBN 978-0-578-57618-3
Éditeur: IEEE
DOI: 10.23919/oceans40490.2019.8962872

A SMACC based mission control system for autonomous underwater vehicles

Auteurs: David Carvalho; Alfredo Martins; José Miguel Almeida; Eduardo Silva
Publié dans: OCEANS 2022, Hampton Roads, 2022
Éditeur: IEEE
DOI: 10.1109/oceans47191.2022.9977228

MARA - A modular underwater robot for confined spaces exploration

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

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

Auteurs: António J. Oliveira; Bruno M. Ferreira; Roee Diamant; Nuno A. Cruz
Publié dans: 2022 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 2022
Éditeur: 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

Auteurs: Neves, Francisco Soares, Rafael Marques Claro, and Andry Maykol Pinto
Publié dans: Sensors, 2022, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23052434

MARESye: A hybrid imaging system for underwater robotic applications

Auteurs: Andry Maykol Pinto, Anibal C. Matos
Publié dans: Information Fusion, Issue 55, 2020, Page(s) 16-29, ISSN 1566-2535
Éditeur: Elsevier BV
DOI: 10.1016/j.inffus.2019.07.014

Modular Multi-Domain Aware Autonomous Surface Vehicle for Inspection

Auteurs: DANIEL FILIPE CAMPOS , ANÍBAL MATOS , ANDRY MAYKOL PINTO
Publié dans: IEEE Access, 2022, ISSN 2169-3536
Éditeur: 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

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

Simultaneous Underwater Navigation and Mapping

Auteurs: Ana Rita Silva Gaspar, Aníbal Matos
Publié dans: U.Porto Journal of Engineering, Issue 5/2, 2019, Page(s) 1-9, ISSN 2183-6493
Éditeur: 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

Auteurs: Rafael Lemos, Rafael Cabral, Diogo Ribeiro, Ricardo Santos, Vinicius Alves, André Dias
Publié dans: Applied Sciences, 2023, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app13031386

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

Auteurs: Pedro Nuno Leite; Andry Maykol Pinto
Publié dans: IEEE Access, 2021, ISSN 2169-3536
Éditeur: 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

Auteurs: Fábio Azevedo, André Dias, José Almeida, Alexandre Oliveira, André Ferreira, Tiago Santos, Alfredo Martins, Eduardo Silva
Publié dans: Sensors, Issue 19/8, 2019, Page(s) 1812, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s19081812

Tracking multiple Autonomous Underwater Vehicles

Auteurs: José Melo, Aníbal C. Matos
Publié dans: Autonomous Robots, Issue 43/1, 2019, Page(s) 1-20, ISSN 0929-5593
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10514-018-9696-7

A mosaicking technique for object identification in underwater environments

Auteurs: Alexandra Pereira Nunes, Ana Rita Silva Gaspar, Andry M. Pinto, Aníbal Castilho Matos
Publié dans: Sensor Review, Issue 39/3, 2019, Page(s) 387-396, ISSN 0260-2288
Éditeur: Emerald Group Publishing Ltd.
DOI: 10.1108/sr-04-2018-0089

Decoding Reinforcement Learning for Newcomers

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

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

Auteurs: José Almeida, Bruno Matias, António Ferreira, Carlos Almeida, Alfredo Martins, Eduardo Silva
Publié dans: Sensors, Issue 20/17, 2020, Page(s) 4710, ISSN 1424-8220
Éditeur: 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

Auteurs: M. I. Pereira, R. M. Claro, P. N. Leite and A. M. Pinto
Publié dans: IEEE Access, 2021, ISSN 2169-3536
Éditeur: 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

Auteurs: P. Sousa, A. Ferreira, M. Moreira, T. Santos, A. Martins, A. Dias, J. Almeida, E. Silva
Publié dans: Journal of Intelligent & Robotic Systems, Issue 93/3-4, 2019, Page(s) 447-460, ISSN 0921-0296
Éditeur: 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

Auteurs: José Melo, Aníbal Matos
Publié dans: Asian Journal of Control, Issue 21/4, 2019, Page(s) 1659-1670, ISSN 1561-8625
Éditeur: Chinese Automatic Control Society
DOI: 10.1002/asjc.2107

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

Auteurs: Pereira, Maria Inês; Leite, Pedro Nuno; Maykol Pinto, Andry
Publié dans: Marine Technology Society Journal, 2021, ISSN 0025-3324
Éditeur: Marine Technology Society, Inc.
DOI: 10.4031/mtsj.55.4.9

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

Auteurs: Ferreira, A, Almeida, J, Martins, A, Matos, A, Silva, E
Publié dans: SENSORS, 2022, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22103631

Emergency Landing Spot Detection for Unmanned Aerial Vehicle

Auteurs: Gabriel Loureiro, Dias, A., Almeida, J., Martins, A.
Publié dans: Remote Sensing, 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13101930

DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning

Auteurs: Ruihao Li, Sen Wang, Dongbing Gu
Publié dans: IEEE Transactions on Industrial Electronics, Issue 68/4, 2021, Page(s) 3577-3587, ISSN 0278-0046
Éditeur: 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

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

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

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

Convolutional neural network target detection in hyperspectral imaging for maritime surveillance

Auteurs: Sara Freitas, Hugo Silva, José Miguel Almeida, Eduardo Silva
Publié dans: International Journal of Advanced Robotic Systems, Issue 16/3, 2019, Page(s) 172988141984299, ISSN 1729-8814
Éditeur: SAGE jounals
DOI: 10.1177/1729881419842991

Three-Dimensional Mapping in Underwater Environment

Auteurs: Alexandra Pereira Nunes, Aníbal Matos
Publié dans: U.Porto Journal of Engineering, Issue 5/2, 2019, Page(s) 10-18, ISSN 2183-6493
Éditeur: Universidade do Porto
DOI: 10.24840/2183-6493_005.002_0002

Deep Learning for Underwater Visual Odometry Estimation

Auteurs: Bernardo Teixeira, Hugo Silva, Anibal Matos, Eduardo Silva
Publié dans: IEEE Access, Issue 8, 2020, Page(s) 44687-44701, ISSN 2169-3536
Éditeur: 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

Auteurs: André Bianchi Figueiredo, Aníbal Coimbra Matos
Publié dans: Applied Sciences, Issue 10/9, 2020, Page(s) 2991, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app10092991

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

Auteurs: Oliveira, António José, Bruno Miguel Ferreira, and Nuno Alexandre Cruz
Publié dans: Journal of Marine Science and Engineering, 2021, ISSN 2077-1312
Éditeur: MDPI
DOI: 10.3390/jmse9040361

Deep learning point cloud odometry: Existing approaches and open challenges

Auteurs: Bernardo Teixeira, Hugo SIlva
Publié dans: U.Porto Journal of Engineering, 2021, ISSN 2183-6493
Éditeur: Universidade do Porto
DOI: 10.24840/2183-6493_007.003_0006

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

Auteurs: Sara Freitas, Hugo SIlva, Eduardo Silva
Publié dans: Remote Sensing, 2022, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs14215516

Remote Hyperspectral Imaging Acquisition and Characterization for Marine Litter Detection

Auteurs: Sara Freitas, Hugo Silva, Eduardo Silva
Publié dans: Remote Sensing, 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13132536

3D UNDERWATER MINE MODELLING IN THE ¡VAMOS! PROJECT

Auteurs: 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
Publié dans: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLII-2/W10, 2019, Page(s) 39-44, ISSN 2194-9034
Éditeur: 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

Auteurs: Renato Silva, Aníbal Matos, Andry Maykol Pinto
Publié dans: Autonomous Robots, 2022, ISSN 0929-5593
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10514-022-10060-x

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

Auteurs: Pedro Nuno Leite, Renato Jorge Silva, Daniel Filipe Campos, Andry Maykol Pinto
Publié dans: 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
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-50347-5_33

New Approaches to Study Jellyfish

Auteurs: Catarina Magalhães, Alfredo Martins, Antonina Dos Santos
Publié dans: Zooplankton Ecology, 2020, ISBN 9781351021821
Éditeur: CRC Press
DOI: 10.1201/9781351021821

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

Auteurs: Joel Barbosa, André Dias, José Almeida, Eduardo Silva
Publié dans: Robot 2019: Fourth Iberian Robotics Conference - Advances in Robotics, Volume 1, Issue 1092, 2020, Page(s) 99-112, ISBN 978-3-030-35989-8
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-35990-4_9

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

Auteurs: Bernardo Teixeira
Publié dans: 2019
Éditeur: Universidade do Porto

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

Auteurs: António Pedro Oliva Afonso
Publié dans: 2019
Éditeur: Universidade do Porto

Recherche de données OpenAIRE...

Une erreur s’est produite lors de la recherche de données OpenAIRE

Aucun résultat disponible