activity
20232025
most citedPhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain

68 citations · 73 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

3D Hierarchical Panoptic Segmentation in Real Orchard Environments Across Different Sensors

Matteo Sodano, Federico Magistri, Elias Marks +6

Crop yield estimation is a relevant problem in agriculture, because an accurate yield estimate can support farmers' decisions on harvesting or precision intervention. Robots can he…

cs.RO2024★ 1 cited

Efficient LiDAR Bundle Adjustment for Multi-Scan Alignment Utilizing Continuous-Time Trajectories

Louis Wiesmann, Elias Marks, Saurabh Gupta +3

Constructing precise global maps is a key task in robotics and is required for localization, surveying, monitoring, or constructing digital twins. To build accurate maps, data from…

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.CV2023

BonnBeetClouds3D: A Dataset Towards Point Cloud-based Organ-level Phenotyping of Sugar Beet Plants under Field Conditions

Elias Marks, Jonas Bömer, Federico Magistri +3

Agricultural production is facing severe challenges in the next decades induced by climate change and the need for sustainability, reducing its impact on the environment. Advanceme…

cs.CV2023★ 68 cited

PhenoBench -- A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain

Jan Weyler, Federico Magistri, Elias Marks +6

The production of food, feed, fiber, and fuel is a key task of agriculture, which has to cope with many challenges in the upcoming decades, e.g., a higher demand, climate change, l…

cs.RO2023★ 3 cited

Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization

Nicky Zimmerman, Matteo Sodano, Elias Marks +2

Object-based maps are relevant for scene understanding since they integrate geometric and semantic information of the environment, allowing autonomous robots to robustly localize a…

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…