most citedPAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics

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cs.RO2023★ 1 cited

PAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics

Claus Smitt, Michael Halstead, Patrick Zimmer +4

Precise scene understanding is key for most robot monitoring and intervention tasks in agriculture. In this work we present PAg-NeRF which is a novel NeRF-based system that enables…

cs.RO2022

Explicitly incorporating spatial information to recurrent networks for agriculture

Claus Smitt, Michael Halstead, Alireza Ahmadi +1

In agriculture, the majority of vision systems perform still image classification. Yet, recent work has highlighted the potential of spatial and temporal cues as a rich source of i…