| Advancing Autonomous Surface Vehicles: A 3D Perception System for the Recognition and Assessment of Docking-Based Structures MI Pereira, RM Claro, PN Leite, AM Pinto IEEE Access 9, 53030-53045, 2021 | 26 | 2021 |
| A Practical Survey on Visual Odometry for Autonomous Driving in Challenging Scenarios and Conditions LR Agostinho, NM Ricardo, MI Pereira, A Hiolle, AM Pinto IEEE Access 10, 72182-72205, 2022 | 24 | 2022 |
| DIIUS-Distributed Perception for Inspection of Aquatic Structures DF Campos, M Pereira, A Matos, AM Pinto OCEANS 2021: San Diego–Porto, 1-5, 2021 | 11 | 2021 |
| Multiple Vessel Detection and Tracking in Harsh Maritime Environments DF Duarte, MI Pereira, AM Pinto OCEANS 2021: San Diego–Porto, 1-5, 2021 | 8 | 2021 |
| Detecting docking-based structures for persistent ASVs using a volumetric neural network MI Pereira, PN Leite, AM Pinto Global Oceans 2020: Singapore–US Gulf Coast, 1-6, 2020 | 5 | 2020 |
| A Machine Learning Approach for Predicting Docking-Based Structures MIR Pereira | 4 | 2020 |
| Energy Efficient Path Planning for 3D Aerial Inspections RM Claro, MI Pereira, FS Neves, AM Pinto IEEE Access 11, 32152-32166, 2023 | 3 | 2023 |
| Multiple Vessel Detection in Harsh Maritime Environments DF Duarte, MI Pereira, AM Pinto Marine Technology Society Journal 56 (5), 58-67, 2022 | 2 | 2022 |
| A 3-D Lightweight Convolutional Neural Network for Detecting Docking Structures in Cluttered Environments MI Pereira, PN Leite, A Maykol Pinto Marine Technology Society Journal 55 (4), 88-98, 2021 | 1 | 2021 |
Andry Maykol PintoFaculdade de Engenharia da Universidade do PortoVerified email at fe.up.pt
