An Hierarchical Architecture for Docking Autonomous Surface Vehicles. - Pedro Nuno Leite; Renato Jorge Silva; Aníbal Matos; Andry Maykol Pinto (ICARSC, 2019)

Hybrid Approach to Estimate a Collision-Free Velocity for Autonomous Surface Vehicles. - Renato Jorge Silva; Pedro Nuno Leite; Daniel Filipe Campos; Andry Maykol Pinto (ICARSC, 2019)

Multi-Agent Optimization for Offshore Wind Farm Inspection using an Improved Population-based Metaheuristic. - Renato Jorge Silva; Pedro Nuno Leite; Andry Maykol Pinto (ICARSC, 2020)

Dense Disparity Maps from RGB and Sparse Depth Information Using Deep Regression Models. - Pedro Nuno Leite; Renato Jorge Silva; Daniel Filipe Campos; Andry Maykol Pinto (ICIAR (1), 2020)

Exploiting Motion Perception in Depth Estimation Through a Lightweight Convolutional Neural Network. - Pedro Nuno Leite; Andry Maykol Pinto (IEEE Access, 2021)

Advancing Autonomous Surface Vehicles: A 3D Perception System for the Recognition and Assessment of Docking-Based Structures. - Maria Inês Pereira; Rafael Marques Claro; Pedro Nuno Leite; Andry Maykol Pinto (IEEE Access, 2021)

Artificial Intelligence for Automated Marine Growth Segmentation. - João Carvalho; Pedro Nuno Leite; João Mina; Lourenço Pinho; Eduardo P. Gonçalves; Andry Maykol Pinto (ROBOT (2), 2023)

Enhancing Underwater Inspection Capabilities: A Learning-Based Approach for Automated Pipeline Visibility Assessment. - João Mina; Pedro Nuno Leite; João Carvalho; Lourenço Pinho; Eduardo P. Gonçalves; Andry Maykol Pinto (ROBOT (2), 2023)

Fusing heterogeneous tri-dimensional information for reconstructing submerged structures in harsh sub-sea environments. - Pedro Nuno Leite; Andry Maykol Pinto (Inf. Fusion, 2024)

Multimodal information fusion using pyramidal attention-based convolutions for underwater tri-dimensional scene reconstruction. - Pedro Nuno Leite; Andry Maykol Pinto (Inf. Fusion, 2025)