Fruit Detection and Pose Estimation for Grape Cluster–Harvesting Robot Using Binocular Imagery Based on Deep Neural Networks

Reliable and robust fruit-detection algorithms in nonstructural environments are essential for the efficient use of harvesting robots. The pose of fruits is crucial to guide robots to approach target fruits for collision-free picking. To achieve accurate picking, this study investigates an approach...

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Detalles Bibliográficos
Autores principales: Yin, Wei, Wen, Hanjin, Ning, Zhengtong, Ye, Jian, Dong, Zhiqiang, Luo, Lufeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259879/
https://www.ncbi.nlm.nih.gov/pubmed/34239899
http://dx.doi.org/10.3389/frobt.2021.626989

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8259879/
https://www.ncbi.nlm.nih.gov/pubmed/34239899
http://dx.doi.org/10.3389/frobt.2021.626989

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