activity
20202024
most citedRobust Onboard Localization in Changing Environments Exploiting Text Spotting

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

collaborators

5 papers

cs.CV2024

A Dataset and Benchmark for Shape Completion of Fruits for Agricultural Robotics

Federico Magistri, Thomas Läbe, Elias Marks +9

As the world population is expected to reach 10 billion by 2050, our agricultural production system needs to double its productivity despite a decline of human workforce in the agr…

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.RO2022★ 2 cited

Robust Onboard Localization in Changing Environments Exploiting Text Spotting

Nicky Zimmerman, Louis Wiesmann, Tiziano Guadagnino +3

Robust localization in a given map is a crucial component of most autonomous robots. In this paper, we address the problem of localizing in an indoor environment that changes and w…

cs.CV2020

Beyond Photometric Consistency: Gradient-based Dissimilarity for Improving Visual Odometry and Stereo Matching

Jan Quenzel, Radu Alexandru Rosu, Thomas Läbe +2

Pose estimation and map building are central ingredients of autonomous robots and typically rely on the registration of sensor data. In this paper, we investigate a new metric for…