| 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 | 36 | 2022 |
| 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 | 33 | 2021 |
| Diius-distributed perception for inspection of aquatic structures DF Campos, M Pereira, A Matos, AM Pinto OCEANS 2021: San Diego–Porto, 1-5, 2021 | 14 | 2021 |
| Energy efficient path planning for 3d aerial inspections RM Claro, MI Pereira, FS Neves, AM Pinto IEEE Access 11, 32152-32166, 2023 | 9 | 2023 |
| 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 |
| ATLANTIS Coastal Testbed: A near-real playground for the testing and validation of robotics for O&M AM Pinto, JVA Marques, N Abreu, DF Campos, MI Pereira, E Gonçalves, ... OCEANS 2023-Limerick, 1-5, 2023 | 7 | 2023 |
| 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 | 7 | 2020 |
| Nautilus: An autonomous surface vehicle with a multilayer software architecture for offshore inspection DF Campos, EP Gonçalves, HJ Campos, MI Pereira, AM Pinto Journal of Field Robotics 41 (4), 966-990, 2024 | 6 | 2024 |
| A machine learning approach for predicting docking-based structures MIR Pereira | 4 | 2020 |
| Reinforcement learning based robot navigation using illegal actions for autonomous docking of surface vehicles in unknown environments MI Pereira, AM Pinto Engineering Applications of Artificial Intelligence 133, 108506, 2024 | 3 | 2024 |
| A Multimodal Learning-based Approach for Autonomous Landing of UAV F Neves, L Branco, M Pereira, R Claro, A Pinto arXiv preprint arXiv:2405.12681, 2024 | 2 | 2024 |
| 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 | 2 | 2021 |
Andry Maykol PintoFaculdade de Engenharia da Universidade do Porto在 fe.up.pt 的电子邮件经过验证
