Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images
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| Název: | Learning Occluded Branch Depth Maps in Forest Environments Using RGB-D Images |
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| Autoři: | Geckeler, Christian, Aucone, Emanuele, Schnider, Yannick, Simeon, Andri, von Bassewitz, Jan-Philipp, Zhu, Yunying, Mintchev, Stefano, id_orcid:0 000-0001-6272-0212 |
| Zdroj: | IEEE Robotics and Automation Letters, 9 (3) |
| Informace o vydavateli: | IEEE |
| Rok vydání: | 2024 |
| Sbírka: | ETH Zürich Research Collection |
| Témata: | Deep learning for visual perception, Robotics and automation in agriculture and forestry, RGB-D perception |
| Popis: | ISSN:2377-3766 |
| Druh dokumentu: | article in journal/newspaper |
| Popis souboru: | application/application/pdf |
| Jazyk: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/wos/001167554600002; info:eu-repo/grantAgreement/SNF/Eccellenza/186865; http://hdl.handle.net/20.500.11850/659145 |
| DOI: | 10.3929/ethz-b-000659145 |
| Dostupnost: | https://hdl.handle.net/20.500.11850/659145 https://doi.org/10.3929/ethz-b-000659145 |
| Rights: | info:eu-repo/semantics/openAccess ; http://rightsstatements.org/page/InC-NC/1.0/ ; In Copyright - Non-Commercial Use Permitted |
| Přístupové číslo: | edsbas.ED5EAF2B |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | ISSN:2377-3766 |
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| DOI: | 10.3929/ethz-b-000659145 |