Contrastive 3D Shape Completion and Reconstruction for Agricultural Robots Using RGB-D Frames

Monitoring plants and fruits is important in modern agriculture, with applications ranging from high-throughput phenotyping to autonomous harvesting. Obtaining highly accurate 3D measurements under real agricultural conditions is a challenging task. In this letter, we address the problem of estimati...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 7; H. 4; S. 10120 - 10127
Hauptverfasser:	Magistri, Federico, Marks, Elias, Nagulavancha, Sumanth, Vizzo, Ignacio, Labe, Thomas, Behley, Jens, Halstead, Michael, McCool, Chris, Stachniss, Cyrill
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Coders Crops Deep learning for visual perception Fruits Greenhouses Harvesting RGB-D perception Robot sensing systems robotics and automation in agriculture and forestry Robots Shape Task analysis Three-dimensional displays
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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