Unimodal and Multimodal Perception for Forest Management: Review and Dataset. - Daniel Queirós da Silva; Filipe Neves dos Santos; Armando Jorge Miranda de Sousa; Vítor Filipe; José Boaventura Cunha (Comput., 2021)

A Comparative Analysis for 2D Object Recognition: A Case Study with Tactode Puzzle-Like Tiles. - Daniel Silva 008; Armando Sousa; Valter Costa (J. Imaging, 2021)

Visible and Thermal Image-Based Trunk Detection with Deep Learning for Forestry Mobile Robotics. - Daniel Queirós da Silva; Filipe Neves dos Santos; Armando J. Sousa; Vítor Filipe (J. Imaging, 2021)

Tree Trunks Cross-Platform Detection Using Deep Learning Strategies for Forestry Operations. - Daniel Queirós da Silva; Filipe Neves dos Santos; Vítor Filipe; Armando Jorge Miranda de Sousa (ROBOT (1), 2022)

Edge AI-Based Tree Trunk Detection for Forestry Monitoring Robotics. - Daniel Queirós da Silva; Filipe Neves dos Santos; Vítor Filipe; Armando Jorge Miranda de Sousa; Paulo B. de Moura Oliveira (Robotics, 2022)

Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations. - Daniel Queirós da Silva; Tiago Ferreira Rodrigues; Armando Jorge Miranda de Sousa; Filipe Neves dos Santos; Vítor Filipe (EPIA (2), 2023)

Assessing Soil Ripping Depth for Precision Forestry with a Cost-Effective Contactless Sensing System. - Daniel Queirós da Silva; Filipe Louro; Filipe Neves dos Santos; Vítor Filipe; Armando Jorge Miranda de Sousa; Mário Cunha; José Luís Carvalho (ROBOT (2), 2023)

YOLO-Based Tree Trunk Types Multispectral Perception: A Two-Genus Study at Stand-Level for Forestry Inventory Management Purposes. - Daniel Queirós da Silva; Filipe Neves dos Santos; Vítor Filipe; Armando Jorge Miranda de Sousa; E. J. Solteiro Pires (IEEE Access, 2024)

Multimodal perception for robotics in forestry operations - Daniel Queirós da Silva (2024)