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Visual Trunk Detection Using Transfer Learning and a Deep Learning-Based Coprocessor.

, , , , и . IEEE Access, (2020)

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Jorge Gómez Sousa

Jorge Miranda-Luizaga

Theresa de Sousa

Jorge Armando Moreno-Barragan

Ágabo Borges de Sousa

 

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Deep Learning-Based Tree Stem Segmentation for Robotic Eucalyptus Selective Thinning Operations., , , , и . EPIA (2), том 14116 из Lecture Notes in Computer Science, стр. 376-387. Springer, (2023)Tree Trunks Cross-Platform Detection Using Deep Learning Strategies for Forestry Operations., , , и . ROBOT (1), том 589 из Lecture Notes in Networks and Systems, стр. 40-52. Springer, (2022)Vineyard trunk detection using deep learning - An experimental device benchmark., , , , и . Comput. Electron. Agric., (2020)Localization and Mapping for Robots in Agriculture and Forestry: A Survey., , , , и . Robotics, 9 (4): 97 (2020)Arquitecturas de sistemas robóticos e licalização em tempo real através de visão : Aplicações no domínio do futebol robótico. University of Porto, Portugal, (2003)Unimodal and Multimodal Perception for Forest Management: Review and Dataset., , , , и . Comput., 9 (12): 127 (2021)Assessing Soil Ripping Depth for Precision Forestry with a Cost-Effective Contactless Sensing System., , , , , , и . ROBOT (2), том 978 из Lecture Notes in Networks and Systems, стр. 297-310. Springer, (2023)Localization and Mapping on Agriculture Based on Point-Feature Extraction and Semiplanes Segmentation From 3D LiDAR Data., , , , и . Frontiers Robotics AI, (2022)Visual Trunk Detection Using Transfer Learning and a Deep Learning-Based Coprocessor., , , , и . IEEE Access, (2020)Edge AI-Based Tree Trunk Detection for Forestry Monitoring Robotics., , , , и . Robotics, 11 (6): 136 (2022)