#IROS2024 awards for two Cluster of Excellence “PhenoRob” papers from Rheinische Friedrich-Wilhelms-Universität Bonn: The Best Paper Award on Agri-Robotics for Elias Marks‘ paper on phenotyping data of sugar beet fields and an Award Finalist for Luca Lobefaro for his work on mapping growing sweet peppers.
At the largest robotics conference of the community ICRA – IEEE International Conference on Robotics and Automation, Shane Kelly, Alessandro Riccardi, Elias Marks, Federico Magistri, Tiziano Guadagnino, Margarita Chli, and Cyrill Stachniss received the Outstanding Automation Paper Award for “Target-Aware Implicit Mapping for Agricultural Crop Inspection” [PDF]
At the largest robotics conference of the community ICRA – IEEE International Conference on Robotics and Automation, Elias Marks, Federico Magistri and Cyrill Stachniss received the Outstanding Automation Paper Award for “Precise 3D Reconstruction of Plants from UAV Imagery Combining Bundle Adjustment and Template Matching” [PDF]
We have open sourced our library for fast and robust Velodyne data segmentation. You can find the code on GitHub
For more details on the approach see: I. Bogoslavskyi and C. Stachniss: “Fast Range Image-Based Segmentation of Sparse 3D Laser Scans for Online Operation”, IROS, 2016 on our publication page.
The paper entitled “Landcover classification with self-taught learning on archetypal dictionaries” was judged to be of exceptional merit presented at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015.