Instance Segmentation and 3D Pose Estimation of Tea Bud Leaves for Autonomous Harvesting Robots
Instance Segmentation and 3D Pose Estimation of Tea Bud Leaves for Autonomous Harvesting Robots
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Scope and Contents
Contents
In unstructured tea garden environments, accurate recognition and pose estimation of tea bud leaves are critical for autonomous harvesting robots. Due to variations in imaging distance, tea bud leaves exhibit diverse scale and pose characteristics in camera views, which significantly complicates the recognition and pose estimation process. This stu...
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Full title
Instance Segmentation and 3D Pose Estimation of Tea Bud Leaves for Autonomous Harvesting Robots
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_67a36e7a2cf341ac88609f6886b3330a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_67a36e7a2cf341ac88609f6886b3330a
Other Identifiers
ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture15020198
