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20192024
most citedPAg-NeRF: Towards fast and efficient end-to-end panoptic 3D representations for agricultural robotics

1 citations · 2 across the 4 of their papers we have counts for

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6 papers · 1 filter

cs.RO2024

BonnBot-I Plus: A Bio-diversity Aware Precise Weed Management Robotic Platform

Alireza Ahmadi, Michael Halstead, Claus Smitt +1

In this article, we focus on the critical tasks of plant protection in arable farms, addressing a modern challenge in agriculture: integrating ecological considerations into the op…

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.RO2023★ 1 cited

Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots

Yue Pan, Federico Magistri, Thomas Läbe +5

Monitoring plants and fruits at high resolution play a key role in the future of agriculture. Accurate 3D information can pave the way to a diverse number of robotic applications i…

cs.RO2020

Viewpoint Planning for Fruit Size and Position Estimation

Tobias Zaenker, Claus Smitt, Chris McCool +1

Modern agricultural applications require knowledge about the position and size of fruits on plants. However, occlusions from leaves typically make obtaining this information diffic…

cs.RO2020

PATHoBot: A Robot for Glasshouse Crop Phenotyping and Intervention

Claus Smitt, Michael Halstead, Tobias Zaenker +2

We present PATHoBot an autonomous crop surveying and intervention robot for glasshouse environments. The aim of this platform is to autonomously gather high quality data and also e…

cs.RO2019

SE-SLAM: Semi-Dense Structured Edge-Based Monocular SLAM

Juan Jose Tarrio, Claus Smitt, Sol Pedre

Vision-based Simultaneous Localization And Mapping (VSLAM) is a mature problem in Robotics. Most VSLAM systems are feature based methods, which are robust and present high accuracy…