Publications

  • Publications
  • Networks
    •

    Publications

    Publications financed by the Deepfield Project

    1. Freitas, S.; Silva, H.; Silva, E. Hyperspectral Imaging Zero-Shot Learning for Remote Marine Litter Detection and Classification. Remote Sens. 2022, 14, 5516. https://doi.org/10.3390/rs14215516

    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
    3. Catarina Magalhães, Alfredo Martins, Antonina Santos, AD (2020) New Approaches to Study Jellyfish Zooplankton Ecology 
    4. Romano, RA;Lima, MML;dos Santos, PL;Perdicoúlis, TPA (2019) Identification of a quasi-LPV model for wing-flutter analysis using machine-learning techniques.  Data-Driven Modeling, Filtering and Control

    Article in Journal

    1. Lemos, R; Cabral, R; Ribeiro, D; Santos, R; Alves, V; Dias, A; (2023) Automatic Detection of Corrosion in Large-Scale Industrial Buildings Based on Artificial Intelligence and Unmanned Aerial Vehicles APPLIED SCIENCES-BASEL
    2. Neves, FS; Andrade, GA; Reis, MF; Aguiar, AP; Pinto, AM; (2023) Decoding Reinforcement Learning for Newcomers IEEE ACCESS
    3. Neves, FS; Claro, RM; Pinto, AM; (2023) End-to-End Detection of a Landing Platform for Offshore UAVs Based on a Multimodal Early Fusion Approach SENSORS
    4. Ferreira, A; Almeida, J; Martins, A; Matos, A; Silva, E;  (2022) 3DupIC: An Underwater Scan Matching Method for Three-Dimensional Sonar Registration SENSORS
    5. Agostinho, LR; Ricardo, NM; Pereira, MI; Hiolle, A; Pinto, AM; (2022) A Practical Survey on Visual Odometry for Autonomous Driving in Challenging Scenarios and Conditions IEEE ACCESS
    6. Freitas, S; Silva, H; Silva, E; (2022) Hyperspectral Imaging Zero-Shot Learning for Remote Marine Litter Detection and Classification REMOTE SENSING
    7. Campos, DF; Matos, A; Pinto, AM;  (2022) Modular Multi-Domain Aware Autonomous Surface Vehicle for Inspection IEEE ACCESS
    8. Silva, R; Matos, A; Pinto, AM;  (2022) Multi-criteria metric to evaluate motion planners for underwater intervention AUTONOMOUS ROBOTS
    9. Duarte, DF; Pereira, MI; Pinto, AM;  (2022) Multiple Vessel Detection in Harsh Maritime Environments MARINE TECHNOLOGY SOCIETY JOURNAL
    10. Pereira, MI; Leite, PN; Pinto, AM;  (2021) A 3-D Lightweight Convolutional Neural Network for Detecting Docking Structures in Cluttered Environments MARINE TECHNOLOGY SOCIETY JOURNAL
    11. Oliveira, AJ; Ferreira, BM; Cruz, NA;  (2021) A Performance Analysis of Feature Extraction Algorithms for Acoustic Image-Based Underwater Navigation JOURNAL OF MARINE SCIENCE AND ENGINEERING
    12. Pereira, MI; Claro, RM; Leite, PN; Pinto, AM;  (2021) Advancing Autonomous Surface Vehicles: A 3D Perception System for the Recognition and Assessment of Docking-Based Structures IEEE ACCESS
    13. Teixeira, B; Silva, H; (2021) Deep learning point cloud odometry: Existing approaches and open challenges U.Porto Journal of Engineering
    14. Loureiro, G; Dias, A; Martins, A; Almeida, J;  (2021) Emergency Landing Spot Detection Algorithm for Unmanned Aerial Vehicles REMOTE SENSING 
    15. Leite, PN; Pinto, AM;  (2021) Exploiting Motion Perception in Depth Estimation Through a Lightweight Convolutional Neural Network IEEE ACCES
    16. Bernabeu, AM; Plaza Morlote, M; Rey, D; Almeida, M; Dias, A; Mucha, AP; (2021) Improving the preparedness against an oil spill: Evaluation of the influence of environmental parameters on the operability of unmanned vehicles MARINE POLLUTION BULLETIN
    17. Campos, DF; Matos, A; Pinto, AM; (2021) Multi-domain inspection of offshore wind farms using an autonomous surface vehicle SN APPLIED SCIENCE
    18. Freitas, S; Silva, H; Silva, E;  (2021) Remote Hyperspectral Imaging Acquisition and Characterization for Marine Litter Detection REMOTE SENSING
    19. Carneiro, JF; Pinto, JB; de Almeida, FG; Cruz, NA; (2021) Variable Buoyancy or Propeller-Based Systems for Hovering Capable Vehicles: An Energetic Comparison IEEE JOURNAL OF OCEANIC ENGINEERING
    20. Teixeira, B;Silva, H;Matos, A;Silva, E; (2020) Deep Learning for Underwater Visual Odometry Estimation IEEE ACCESS
    21. Almeida, J; Matias, B; Ferreira, A; Almeida, C; Martins, A; Silva, E;  (2020) Underwater Localization System Combining iUSBL with Dynamic SBL in VAMOS! Trials SENSORS
    22. Melo, J; Matos, A;  (2019)  A data-driven particle filter for terrain based navigation of sensor-limited autonomous underwater vehicles ASIAN JOURNAL OF CONTROL
    23. Nunes, AP; Silva Gaspar, ARS; Pinto, AM; Matos, AC; (2019) A mosaicking technique for object identification in underwater environments SENSOR REVIE
    24. Freitas, S;Silva, H;Almeida, JM;Silva, E; (2019) Convolutional neural network target detection in hyperspectral imaging for maritime surveillance INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
    25. Sousa, P;Ferreira, A;Moreira, M;Santos, T;Martins, A;Dias, A;Almeida, J;Silva, E; (2019) ISEP/INESC TEC Aerial Robotics Team for Search and Rescue Operations at the euRathlon 2015 JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
    26. Azevedo, F;Dias, A;Almeida, J;Oliveira, A;Ferreira, A;Santos, T;Martins, A;Silva, E;  (2019) LiDAR-Based Real-Time Detection and Modeling of Power Lines for Unmanned Aerial Vehicles SENSORS
    27. Suárez Fernández, RA;Grande, D;Martins, A;Bascetta, L;Dominguez, S;Rossi, C; (2019) Modeling and Control of Underwater Mine Explorer Robot UX-1 IEEE Acces
    28. Gaspar, ARS; Matos, A; (2019) Simultaneous underwater navigation and mapping U.Porto Journal of Engineering
    29. Nunes, A; Matos, A (2019) Three-dimensional mapping in underwater Environment U.Porto Journal of Engineeri
    30. Melo, J; Matos, AC; (2019) Tracking multiple Autonomous Underwater Vehicles AUTONOMOUS ROBOT
    31. 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
    32. 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
    33. 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
    34. 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
    35. 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
    36. 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
    37. 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
    38. José Melo, Aníbal Matos (2019). “A dataâÂÃ?â?¬ÂÃ?driven particle filter for terrain based navigation of sensorâÂÃ?â?¬ÂÃ?limited autonomous underwater vehicles” Asian Journal of Control, 21/4. DOI:10.1002/asjc.2107
    39. 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
    40. 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
    41. José Melo, Aníbal C. Matos (2019). Tracking multiple Autonomous Underwater Vehicles Autonomous Robots, 43/1. DOI:10.1007/s10514-018-9696-7
    42. 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
    43. 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

    Thesis/Dissertation

    1. João Gabriel De Sousa Moreira (2023) Deteção e Tracking de pessoas e objetos com recurso a LiDAR. Master Degree Thesis 
    2. Sara Raquel Monteiro Da Silva Pereira (2023) Sistema de perceção visual com recurso a tecnologia de smartphones. Master Degree Thesis
    3. Sara C Freitas (2023)  “Hyperspectral imaging for remote marine litter detection and classification using learning based approaches”. FEUP- Universidade do Porto. PhD Thesis
    4. Pedro Miguel Serrão Da Veiga Martins (2022) Mapas Topológicos para Exploração Robótica de Minas Subterrâneas Submersas. Master Degree Thesis 
    5. Eduardo Daniel Machado Marques (2022) Exploração de metodologias de Odometria e Mapeamento 3D baseado em LiDAR. Master Degree Thesis 
    6. David Emanuel Prazeres Carvalho (2022) Coordination Control of a Robotic Lander. Master Degree Thesis 
    7. José Pedro Almeida Marques De Oliveira (2021) Sistema de localização relativa de um sistema robótico subaquático. Master Degree Thesis
    8. Pedro Nuno De Queirós Salcedas De Carvalho Geraldes (2021) In situ real-time Zooplankton Detection and Classification. Master Degree Thesis 
    9. Miguel Mendes Amado (2021) Sistema de Visão Computacional Low-Cost para Deteção e Contagem de Pessoas e Veículos em Smart Cities. Master Degree Thesis 
    10. José Filipe Da Silva Oliveira Antunes (2021) Graph-SLAM Approach for Indoor UAV Localization in Warehouse Logistics Applications. Master Degree Thesis
    11. André Filipe Oliveira Moura (2021) Behavior Tree UAV Mission Control in Warehouse Logistics. Master Degree Thesis 
    12. Miguel Ângelo Lourenço Lopes (2021) Benchmark de Sistemas Embebidos para Machine Learning em Visão Computacional. Master Degree Thesis 
    13. Carlos Manuel De Sousa Ferrás (2021) Sistema de Visão Termográfico para Veículos Autónomos Aéreos. Master Degree Thesis 
    14. Murillo Prestes Villa (2021) Estudo e desenvolvimento de protótipos para estimação da velocidade de veículos autónomos submarinos. Master Degree Thesis 
    15. Dimpi Rajubhal Patel (2020) Object Detection and Tracking for ASV. Master Degree Thesis 
    16. Pedro Emanuel Jorge Barbosa (2020) Sistema Autónomo de Recolha de Informação Genética para Meio Aquático. Master Degree Thesis 
    17. Rui Rodrigo Serra Figueirinha (2020) Interface Homem-Máquina Multi Robótica em Unity3D. Master Degree Thesis     
    18. Joel Adão Pacheco Barbosa (2020) Deep Learning Approach for UAV Visual Electrical Assets Inspection. Master Degree Thesis 
    19. Diana Carina Castanheira Salgado (2020) Manobra de Inspeção de Eólicas com recurso a um UAV VTOL. Master Degree Thesis
    20. Rui Filipe Loureiro Mendes (2020) Desenvolvimento de métodos de inspeção de ativos elétricos recorrendo a um UAV VTOL. Master Degree Thesis 
    21. Gabriel Da Silva Martins Loureiro (2020)  Emergency Landing Spot Detection for Unmanned Aerial Vehicle. Master Degree Thesis 
    22. Rui Pedro Maia Oliveira Da Luz Carvalho (2020) Sistema de suporte ao processo de alinhamento de lentes. Master Degree Thesis
    23. Pedro André Peixoto Fonseca De Castro E Silva (2020) Sistema de reconstrução 3D com LiDAR e câmara de espetro visível para veículo autónomo aéreo. Master Degree Thesis 
    24. Paulo Miguel Da Cunha Rodrigues (2020) GeoTec: Sistema de reconstrução 3D baseado em imagem para cenários GPS-denied. Master Degree Thesis
    25. António Pedro Oliva Afonso (2019). “A comparative study of machine learning techniques for underwater visual object recognition” FEUP- Universidade do Porto. Master Degree Thesis.
    26. Bernardo Teixeira (2019). "Deep Learning Approaches Assessment for Underwater Scene Understanding and Egomotion Estimation" FEUP- Universidade do Porto. Master Degree Thesis.

    Publication in Conference proceedings/Workshop

    1. Moura, A; Antunes, J; Martins, JJ; Dias, A; Martins, A; Almeida, JM; Silva, E; (2023) Autonomous UAV Landing Approach for Marine Operations OCEANS 2023 - Limerick
    2. Gaspar, AR; Nunes, A; Matos, A; (2023) Limit Characterization for Visual Place Recognition in Underwater Scenes ROBOT2022: FIFTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 1
    3. Matos, T; Rocha, JL; Dinis, H; Faria, CL; Martins, MS; Henriques, R; Goncalves, LM; (2022) A low-cost, low-power and low-size multi-parameter station for real-time and online monitoring of the coastal area 2022 OCEANS HAMPTON ROAD
    4. Carvalho, D; Martins, A; Almeida, JM; Silva, E; (2022) A SMACC based mission control system for autonomous underwater vehicles 2022 OCEANS HAMPTON ROADS
    5. Pinto, AF; Cruz, NA; Ferreira, BM ;Abreu, NM; Goncalves, CE; Villa, MP; Matos, AC; Honorio, LD; Westin, LG; (2022)  An Autonomous System for Collecting Water Samples from the Surface OCEANS 2022
    6. Teixeira, B; Lima, AP; Pinho, C; Viegas, D; Dias, N; Silva, H; Almeida, J; (2022) Feedfirst: Intelligent monitoring system for indoor aquaculture tanks 2022 OCEANS HAMPTON ROADS
    7. Goncalves, PM; Ferreira, BM; Alves, JC; Cruz, NA; (2022) Image segmentation and mapping in an underwater environment using an imaging sonar 2022 OCEANS HAMPTON ROADS
    8. Oliveira, AJ; Ferreira, BM; Cruz, NA; (2022) Real-time Wall Identification for Underwater Mapping using Imaging Sonar 2022 OCEANS HAMPTON ROADS
    9. Oliveira, AJ; Ferreira, BM; Diamant, R; Cruz, NA; (2022) Sonar-based Cable Detection for in-situ Calibration of Marine Sensors 2022 IEEE/OES AUTONOMOUS UNDERWATER VEHICLES SYMPOSIUM (AUV)
    10. Tieppo, M;Pereira, E;Garcia, LG;Rolim, M;Castanho, E;Matos, A;Silva, A;Ferreira, B;Pascoal, M;Almeida, E;Costa, F;Zabel, F;Faria, J;Azevedo, J;Alves, J;Moutinho, J;Goncalves, L;Martins, M;Cruz, N;Abreu, N;Silva, P;Viegas, R;Jesus, S;Chen, T;Miranda, T;Papalia, A;Hart, D;Leonard, J;Haji, M;de Weck, O;Godart, P;Lermusiaux, P; (2022) Submarine Cables as Precursors of Persistent Systems for Large Scale Oceans Monitoring and Autonomous Underwater Vehicles Operation 2022 OCEANS HAMPTON ROADS
    11. Dias, A;Almeida, J;Oliveira, A;Santos, T;Martins, A;Silva, E; (2022) Unmanned Aerial Vehicle for Wind-Turbine Inspection. Next Step: Offshore 2022 OCEANS HAMPTON ROADS
    12. Agostinho, LR;Ricardo, NC;Silva, RJ;Pinto, AM; (2021)  A Modular Inductive Wireless Charging Solution for Autonomous Underwater Vehicles 2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
    13. Sousa, N; Oliveira, N; Praca, I; (2021) A MULTI-AGENT SYSTEM FOR AUTONOMOUS MOBILE ROBOT COORDINATION MODELLING AND SIMULATION 2021: 35TH ANNUAL EUROPEAN  SIMULATION AND MODELLING CONFERENCE 2021 (ESM 2021)
    14. Pinto A.M.;Marques J.V.A.;Campos D.F.;Abreu N.;Matos A.;Jussi M.;Berglund R.;Halme J.;Tikka P.;Formiga J.;Verrecchia C.;Langiano S.;Santos C.;Sa N.;Stoker J.J.;Calderoni F.;Govindaraj S.;But A.;Gale L.;Ribas D.;Hurtos N.;Vidal E.;Ridao P.;Chieslak P.;Palomeras N.;Barberis S.;Aceto L.; (2021) ATLANTIS - The Atlantic Testing Platform for Maritime Robotics Oceans Conference Record (IEEE)
    15. Resende, J; Barbosa, P; Almeida, J; Martins, A; (2021) Autonomous High-Resolution Image Acquisition System for Plankton 2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
    16. Campos D.F.;Pereira M.;Matos A.;Pinto A.M.; (2021) DIIUS - Distributed Perception for Inspection of Aquatic Structures Oceans Conference Record (IEEE)
    17. Gaspar, AR; Nunes, A; Matos, A; (2021) Evaluation of Bags of Binary Words for Place Recognition in Challenging Scenarios 2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
    18. Oliveira, AJ; Ferreira, BM; Cruz, NA; (2021) Feature-based Underwater Localization using Imaging Sonar in Confined Environments OCEANS 2021: San Diego – Porto
    19. Moura, A; Antunes, J; Dias, A; Martins, A; Almeida, J; (2021) Graph-SLAM Approach for Indoor UAV Localization in Warehouse Logistics Applications 2021 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC)
    20. Freitas S.;Silva H.;Almeida C.;Viegas D.;Amaral A.;Santos T.;Dias A.;Jorge P.A.S.;Pham C.K.;Moutinho J.;Silva E.; (2021) Hyperspectral Imaging System for Marine Litter Detection Oceans Conference Record (IEEE)
    21. Amado, M;Lopes, F;Dias, A;Martins, A; (2021)  LiDAR-based Power Assets Extraction based on Point Cloud Data IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2021, Santa Maria da Feira, Portugal, April 28-29, 2021
    22. Duarte D.F.;Pereira M.I.;Pinto A.M.; (2021) Multiple Vessel Detection and Tracking in Harsh Maritime Environments Oceans Conference Record (IEEE)
    23. Nunes, A; Gaspar, AR; Matos, A; (2021) Occupancy Grid Mapping from 2D SONAR Data for Underwater Scenes OCEANS 2021: San Diego – Porto
    24. Silva, P;Dias, A;Pires, A;Santos, T;Amaral, A;Rodrigues, P;Almeida, J;Silva, E (2020) 3d reconstruction of historical sites using an uav Robots in Human Life. Proceedings of the 23rd International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2020;
    25. Martins, A;Almeida, C;Lima, P;Viegas, D;Silva, J;Almeida, JM;Almeida, C;Ramos, S;Silva, E; (2020) A robotic solution for NETTAG lost fishing net problem GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAS
    26. Leite, PN;Silva, RJ;Campos, DF;Pinto, AM; (2020) Dense disparity maps from rgb and sparse depth information using deep regression models Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    27. Pereira, MI; Leite, PN; Pinto, AM; (2020) Detecting Docking-based Structures for Persistent ASVs using a Volumetric Neural Network GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST
    28. Claro, R; Silva, R; Pinto, A  (2020) Detection and Mapping of Monopiles in Offshore Wind Farms using Autonomous Surface Vehicles GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST 
    29. Loureiro, G; Soares, L; Dias, A; Martins, A; (2020) Emergency Landing Spot Detection for Unmanned Aerial Vehicle FOURTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, ROBOT 2019, VOL 2
    30. Barbosa, J; Dias, A; Almeida, J; Silva, E; (2020) Evaluation of Lightweight Convolutional Neural Networks for Real-Time Electrical Assets Detection FOURTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, ROBOT 2019, VOL 1
    31. Martins, A; Almeida, J; Almeida, C; Pereira, R; Sytnyk, D; Soares, E; Matias, B; Pereira, T; Silva, E; (2020) MARA - A modular underwater robot for confined spaces exploration GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAS
    32. Silva, RJ; Leite, PN; Pinto, AM; (2020) Multi-Agent Optimization for Offshore Wind Farm Inspection using an Improved Population-based Metaheuristic 2020 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2020)
    33. Campos, DF; Matos, A; Pinto, AM; (2020) Multi-domain Mapping for Offshore Asset Inspection using an Autonomous Surface Vehicle 2020 IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS  ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2020)
    34. Loureiro, G; Dias, A; Martins, A; (2020) Survey of approaches for emergency landing spot detection with unmanned aerial vehicles Robots in Human Life- Proceedings of the 23rd International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2020
    35. Teixeira, FB;Moreira, N;Abreu, N;Ferreira, B;Ricardo, M;Campos, R; (2020) UDMSim: A Simulation Platform for Underwater Data Muling Communications 2020 16TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB
    36. Suárez Fernández, RA; Grande, D; Bascetta, L; Martins, A; Dominguez, S; Rossi, C; (2020) Variable Pitch System for the Underwater Explorer Robot UX-1 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020, Las Vegas, NV, USA, October 24, 2020 - January 24, 2021
    37. Bleier, M;Almeida, C;Ferreira, A;Pereira, R;Matias, B;Almeida, J;Pidgeon, J;van der Lucht, J;Schilling, K;Martins, A;Silva, E;Nuechter, A; (2019) 3D UNDERWATER MINE MODELLING IN THE 'VAMOS' PROJECT UNDERWATER 3D RECORDING AND MODELLING: A TOOL FOR MODERN APPLICATIONS AND CH RECORDING
    38. Rodrigues, PM; Cruz, NA; Pinto, AM; (2019) Altitude control of an underwater vehicle based on computer vision OCEANS 2018 MTS/IEEE Charleston
    39. Campos, DF; Matos, A; Pinto, AM; (2019) An Adaptive Velocity Obstacle Avoidance Algorithm for Autonomous Surface Vehicles 2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
    40. Leite, P; Silva, R; Matos, A; Pinto, AM; (2019) An Hierarchical Architecture for Docking Autonomous Surface Vehicles 2019 19TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2019)
    41. Nunes A.; Gaspar A.R.; Matos A.; (2019) Critical object recognition in underwater environment OCEANS 2019 - Marseille
    42. Teixeira, B; Silva, H; Matos, A; Silva, E; (2019) Deep Learning Approaches Assessment for Underwater Scene Understanding and Egomotion Estimation OCEANS 2019 MTS/IEEE SEATTLE
    43. Oliveira, A; Pedrosa, D; Santos, T; Dias, A; Amaral, G; Martins, A; Almeida, J; Silva, E; (2019) Design and Development of a multi rotor UAV for Oil Spill Mitigation OCEANS 2019 - Marseille
    44. Pessoa L.M.;Duarte C.;Salgado H.M.;Correia V.;Ferreira B.;Cruz N.A.;Matos A.; (2019) Design of an underwater sensor network perpetually powered from AUVs OCEANS 2019 - Marseille
    45. Loureiro, G; Soares, L; Dias, A; Martins, A; (2019) Emergency Landing Spot Detection for Unmanned Aerial Vehicle Robot 2019: Fourth Iberian Robotics Conference - Advances in Robotics, Volume 2, Porto, Portugal, 20-22 November, 2019.
    46. Oliveira, PL;Ferreira, BM;Cruz, NA; (2019) Experimental evaluation of segmentation algorithms for corner detection in sonar images OCEANS 2019 MTS/IEEE SEATTLE
    47. Silva, R;Leite, P;Campos, D;Pinto, AM; (2019) Hybrid Approach to Estimate a Collision-Free Velocity for Autonomous Surface Vehicles 2019 19TH IEEE INTERNATIONAL CONFERENCE ON AUTONOMOUS ROBOT SYSTEMS AND COMPETITIONS (ICARSC 2019)
    48. Rajesh, SD;Almeida, JM;Martins, A; (2019)  Image Cleaning and Enhancement Technique for Underwater Mining OCEANS 2019 - Marseille, OCEANS
    49. Freire, D;Silva, J;Dias, A;Almeida, JM;Martins, A; (2019)  Radar-based target tracking for Obstacle Avoidance for an Autonomous Surface Vehicle (ASV) OCEANS 2019 - Marseille
    50. Azevedo, F;Dias, A;Almeida, J;Oliveira, A;Ferreira, A;Santos, T;Martins, A;da Silva, EP; (2019) Real-Time LiDAR-based Power Lines Detection for Unmanned Aerial Vehicles 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2019, Porto, Portugal, April 24-26, 2019  
    51. Marques, MM;Mendonca, R;Marques, F;Ramalho, T;Lobo, V;Matos, A;Ferreira, B;Simoes, N;Castelao, I; (2019)  REX 16-Robotic Exercises 2016 Multi-robot field trials 2019 IEEE UNDERWATER TECHNOLOGY (UT) 
    52. Dias, A;Mucha, AP;Santos, T;Pedrosa, D;Amaral, G;Ferreira, H;Oliveira, A;Martins, A;Almeida, J;Almeida, CM;Ramos, S;Magalhães, C;Carvalho, MF;Silva, E; (2019) ROSM - Robotic Oil Spill Mitigations OCEANS 2019 - Marseille
    53. Afonso, APO; Pinto, AM; (2019) Underwater Object Recognition: A Domain-Adaption Methodology of Machine Learning Classifiers OCEANS 2019 MTS/IEEE SEATTLE
    54. Costa, A;Madureira Carvalho, Á;Moura, R;Rodrigues, D;Fernandes, L;Gomes, C;Silva, R;Borges, J;Almeida, F; (2019) Use of a 3d ground-penetrating radar for detection of buried inert explosive devices International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
    55. 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 
    56. Alexandra Nunes, Ana Rita Gaspar, Anibal Matos (2019). “Critical object recognition in underwater environment” OCEANS 2019 – Marseille. DOI:10.1109/oceanse.2019.8867360
    57. 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
    58. 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
    59. 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
    60. 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
    61. 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