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

Deliverables

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.

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Publications

MARESye: A hybrid imaging system for underwater robotic applications

Author(s): Andry Maykol Pinto, Anibal C. Matos
Published in: Information Fusion, 55, 2020, Page(s) 16-29, ISSN 1566-2535
Publisher: Elsevier BV
DOI: 10.1016/j.inffus.2019.07.014

Simultaneous Underwater Navigation and Mapping

Author(s): Ana Rita Silva Gaspar, Aníbal Matos
Published in: U.Porto Journal of Engineering, 5/2, 2019, Page(s) 1-9, ISSN 2183-6493
Publisher: Universidade do Porto
DOI: 10.24840/2183-6493_005.002_0001

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

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

Tracking multiple Autonomous Underwater Vehicles

Author(s): José Melo, Aníbal C. Matos
Published in: Autonomous Robots, 43/1, 2019, Page(s) 1-20, ISSN 0929-5593
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10514-018-9696-7

A mosaicking technique for object identification in underwater environments

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

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

Author(s): José Almeida, Bruno Matias, António Ferreira, Carlos Almeida, Alfredo Martins, Eduardo Silva
Published in: Sensors, 20/17, 2020, Page(s) 4710, ISSN 1424-8220
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20174710

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

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

Author(s): José Melo, Aníbal Matos
Published in: Asian Journal of Control, 21/4, 2019, Page(s) 1659-1670, ISSN 1561-8625
Publisher: Chinese Automatic Control Society
DOI: 10.1002/asjc.2107

DeepSLAM: A Robust Monocular SLAM System With Unsupervised Deep Learning

Author(s): Ruihao Li, Sen Wang, Dongbing Gu
Published in: IEEE Transactions on Industrial Electronics, 68/4, 2021, Page(s) 3577-3587, ISSN 0278-0046
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tie.2020.2982096

Convolutional neural network target detection in hyperspectral imaging for maritime surveillance

Author(s): Sara Freitas, Hugo Silva, José Miguel Almeida, Eduardo Silva
Published in: International Journal of Advanced Robotic Systems, 16/3, 2019, Page(s) 172988141984299, ISSN 1729-8814
Publisher: SAGE jounals
DOI: 10.1177/1729881419842991

Three-Dimensional Mapping in Underwater Environment

Author(s): Alexandra Pereira Nunes, Aníbal Matos
Published in: U.Porto Journal of Engineering, 5/2, 2019, Page(s) 10-18, ISSN 2183-6493
Publisher: Universidade do Porto
DOI: 10.24840/2183-6493_005.002_0002

Deep Learning for Underwater Visual Odometry Estimation

Author(s): Bernardo Teixeira, Hugo Silva, Anibal Matos, Eduardo Silva
Published in: IEEE Access, 8, 2020, Page(s) 44687-44701, ISSN 2169-3536
Publisher: 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

Author(s): André Bianchi Figueiredo, Aníbal Coimbra Matos
Published in: Applied Sciences, 10/9, 2020, Page(s) 2991, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app10092991

3D UNDERWATER MINE MODELLING IN THE ¡VAMOS! PROJECT

Author(s): 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
Published in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W10, 2019, Page(s) 39-44, ISSN 2194-9034
Publisher: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
DOI: 10.5194/isprs-archives-xlii-2-w10-39-2019

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

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

Experimental evaluation of segmentation algorithms for corner detection in sonar images

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

Critical object recognition in underwater environment

Author(s): Alexandra Nunes, Ana Rita Gaspar, Anibal Matos
Published in: OCEANS 2019 - Marseille, 2019, Page(s) 1-6, ISBN 978-1-7281-1450-7
Publisher: IEEE
DOI: 10.1109/oceanse.2019.8867360

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

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

Supervised classification for hyperspectral imaging in UAV maritime target detection

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

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

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

Deep Learning Approaches Assessment for Underwater Scene Understanding and Egomotion Estimation

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

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

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

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

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

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

Author(s): Bernardo Teixeira
Published in: 2019
Publisher: Universidade do Porto

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

Author(s): António Pedro Oliva Afonso
Published in: 2019
Publisher: Universidade do Porto