Article in Journal

  1. José Almeida, Bruno Matias, António Ferreira, Carlos Almeida, Alfredo Martins, Eduardo Silva (2020). “Underwater Localization System Combining iUSBL with Dynamic SBL in ¡VAMOS! Trials” Sensor, 20/17. DOI:10.3390/s20174710
  2. Andry Maykol Pinto, Anibal C. Matos (2020). “MARESye: A hybrid imaging system for underwater robotic applications” Information Fusion, 55. DOI: 10.1016/j.inffus.2019.07.014
  3. André Bianchi Figueiredo, Aníbal Coimbra Matos (2020). “MViDO: A High Performance Monocular Vision-Based System for Docking A Hovering AUV” Applied Sciences, 10/9. DOI:10.3390/app10092991
  4. Bernardo Teixeira, Hugo Silva, Anibal Matos, Eduardo Silva (2020). “Deep Learning for Underwater Visual Odometry Estimation” IEEE Access, 8. DOI:10.1109/access.2020.2978406
  5. 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 (2019). “3D UNDERWATER MINE MODELLING IN THE ¡VAMOS! PROJECT” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2/W10. DOI:10.5194/isprs-archives-xlii-2-w10-39-2019
  6. Alexandra Pereira Nunes, Ana Rita Silva Gaspar, Andry M. Pinto, Aníbal Castilho Matos (2019). “A mosaicking technique for object identification in underwater environments” Sensor Review, 39/3. DOI:10.1108/sr-04-2018-0089
  7. Sara Freitas, Hugo Silva, José Miguel Almeida, Eduardo Silva (2019). “Convolutional neural network target detection in hyperspectral imaging for maritime surveillance” International Journal of Advanced Robotic Systems, 16/3. DOI: 10.1177/1729881419842991
  8. José Melo, Aníbal Matos (2019). “A data‐driven particle filter for terrain based navigation of sensor‐limited autonomous underwater vehicles” Asian Journal of Control, 21/4. DOI:10.1002/asjc.2107
  9. Alexandra Pereira Nunes, Aníbal Matos (2019). “Three-Dimensional Mapping in Underwater Environment” U.Porto Journal of Engineering, 5/2. DOI:10.24840/2183-6493_005.002_0002
  10. Ana Rita Silva Gaspar, Aníbal Matos (2019). “Simultaneous Underwater Navigation and Mapping” U.Porto Journal of Engineering, 5/2. DOI: 10.24840/2183-6493_005.002_0001
  11. José Melo, Aníbal C. Matos (2019). “Tracking multiple Autonomous Underwater Vehicles” Autonomous Robots, 43/1. DOI:10.1007/s10514-018-9696-7
  12. Fábio Azevedo, André Dias, José Almeida, Alexandre Oliveira, André Ferreira, Tiago Santos, Alfredo Martins, Eduardo Silva (2019). “LiDAR-Based Real-Time Detection and Modeling of Power Lines for Unmanned Aerial Vehicles” Sensors, 19/8. DOI:10.3390/s19081812
  13. P. Sousa, A. Ferreira, M. Moreira, T. Santos, A. Martins, A. Dias, J. Almeida, E. Silva (2018). “ISEP/INESC TEC Aerial Robotics Team for Search and Rescue Operations at the euRathlon 2015” Journal of Intelligent & Robotic Systems, 93/3-4. DOI:10.1007/s10846-018-0772-1

Publication in Conference proceedings/Workshop

  1. Daniel Filipe Campos, Anibal Matos, Andry Maykol Pinto (2020). “Multi-domain Mapping for Offshore Asset Inspection using an Autonomous Surface Vehicle” 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). DOI:10.1109/icarsc49921.2020.9096097 
  2. Alexandra Nunes, Ana Rita Gaspar, Anibal Matos (2019). “Critical object recognition in underwater environment” OCEANS 2019 – Marseille. DOI:10.1109/oceanse.2019.8867360
  3. Pedro L. Oliveira, Bruno M. Ferreira, Nuno A. Cruz (2019). “Experimental evaluation of segmentation algorithms for corner detection in sonar images”              OCEANS 2019 MTS/IEEE SEATTLE. DOI:10.23919/oceans40490.2019.8962756
  4. Bernardo Teixeira, Hugo Silva, Anibal Matos, Eduardo Silva (2019). “Deep Learning Approaches Assessment for Underwater Scene Understanding and Egomotion Estimation” OCEANS 2019 MTS/IEEE SEATTLE. DOI:10.23919/oceans40490.2019.8962872
  5. Antonio Pedro Oliva Afonso, Andry Maykol Pinto (2019). “Underwater Object Recognition: A Domain-Adaption Methodology of Machine Learning Classifiers” OCEANS 2019 MTS/IEEE SEATTLE. DOI:10.23919/oceans40490.2019.8962693
  6. Sara Freitas, Carlos Almeida, Hugo Silva, Jose Almeida, Eduardo Silva (2018). “Supervised classification for hyperspectral imaging in UAV maritime target detection” 2018 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). DOI:10.1109/icarsc.2018.8374165
  7. Sara Freitas, Hugo Silva, Jose Almeida, Alfredo Martins, Eduardo Silva (2018). “Supervised vs Unsupervised Approaches for Real Time Hyperspectral Imaging Maritime Target Detection” 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO).  DOI:10.1109/oceanskobe.2018.8559324

Chapter in Book

  1. Pedro Nuno Leite, Renato Jorge Silva, Daniel Filipe Campos, Andry Maykol Pinto (2020).”Dense Disparity Maps from RGB and Sparse Depth Information Using Deep Regression Models” Image Analysis and Recognition - 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I(12131). DOI: 10.1007/978-3-030-50347-5_33
  2. Joel Barbosa, André Dias, José Almeida, Eduardo Silva (2019). “Evaluation of Lightweight Convolutional Neural Networks for Real-Time Electrical Assets Detection” Robot 2019: Fourth Iberian Robotics Conference - Advances in Robotics, Volume 1(1092). DOI: 10.1007/978-3-030-35990-4_9


  1. António Pedro Oliva Afonso (2019). “A comparative study of machine learning techniques for underwater visual object recognition” FEUP- Universidade do Porto. Master Degree Thesis.
  2. Bernardo Teixeira (2019). "Deep Learning Approaches Assessment for Underwater Scene Understanding and Egomotion Estimation" FEUP- Universidade do Porto. Master Degree Thesis.