Curriculum Vitae

Since 01/2021	PhD student at KIT, Institute of Photogrammetry and Remote Sensing (IPF)
10/2018 - 11/2020	MSc. student of Geodesy and Geoinformatics at KIT
10/2015 - 09/2018	BSc. student of Geodesy and Geoinformatics at KIT

Thesis

Master Thesis: "Studies on the Generation of a Ultra-High Resolution Potential Model and its Covariance Information"

Research Interests

- I am interested in uncertainty quantification for deep learning-based applications.

- In my doctoral research, I focus on evaluating and identifying reliable approaches to estimate uncertainties in deep learning-based 6D object pose estimation for known objects from RGB(-D) images.

Teaching

- Fit für Studium und Beruf (Bachelor Geodesy and Geoinformatics)
- Exercise "Struktur- und Objektextratktion in 2D und 3D" (Master Geodesy and Geoinformatics)
- Exercise "Industrievermessung und -robotik (Master Geodesy and Geoinformatics)

Publications

DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
Landgraf, S.; Wursthorn, K.; Hillemann, M.; Ulrich, M.
2024. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. doi:10.1007/s41064-024-00280-4

Nachwuchs-Forum "Bildung für Nachhaltige Entwicklung"
Krüger, S.; Wursthorn, K.; Jäger, M. A.; Rabold, J.; Mayer, M.
2024. Mitteilungen und Veröffentlichungen aus den Themenbereichen Geodäsie, Geoinformation und Landmanagement, 72 (1), 50–54

U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
Landgraf, S.; Hillemann, M.; Wursthorn, K.; Ulrich, M.
2023. arxiv. doi:10.48550/arXiv.2307.09947

Bildung für nachhaltige Entwicklung (BNE)
Jäger, M. A.; Ketzer, D.; Krüger, S.; Mayer, M.; Rabold, J.; Stay, A.; Wursthorn, K.
2023, June 29. 4. DVW-BW NachwuchsForum (2023), Karlsruhe, Germany, June 29, 2023

DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
Landgraf, S.; Wursthorn, K.; Hillemann, M.; Ulrich, M.
2023

Beat the MArVIN - Industrieroboter MArVIN lernt Geschicklichkeitsspiel "der heiße Draht"
Wursthorn, K.; Hillemann, M.; Ulrich, M.
2022. doi:10.5445/IR/1000150338

Comparison of uncertainty quantification methods for CNN-based regression
Wursthorn, K.; Hillemann, M.; Ulrich, M.
2022. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2022, 721–728. doi:10.5194/isprs-archives-XLIII-B2-2022-721-2022