Curriculum Vitae

07/2023 - 10/2023	Visiting researcher at Delft University of Technology, Department of Intelligent Systems - Computer Graphics and Visualization Group
Since 09/2021	PhD-Student at the Institute of Photogrammetry and Remote Sensing (KIT)
08/2019 - 08/2021	Development Engineer, specialized in Machine Learning Integration and Image Processing at SAC Sirius Advanced Cybernetics GmbH
10/2015 - 12/2018	Master of Science in Geodesy and Geoinformatics at KIT
09/2013 - 12/2018	Research assistant (software development) at the Institute for Automation and Applied Informatics (IAI) at KIT
10/2011 - 07/2015	Bachelor of Science in Geoinformationmanagement at the University of Applied Sciences Karlsruhe (HKA)

Research Interests

Photogrammetric Computer Vision
Implicit and explicit 3D scene representations
3D reconstruction and registration
Image analysis and Deep Learning

Teaching

Statistical Pattern Recognition and knowledge-based Image Analysis (exercise)
Deep Learning in Computer Vision and Remote Sensing (exercise)

Other Activities

PhD-student representative at the Graduate School of the Centre for Climate and Environment (GRACE)

Publications

2023

Entwicklung eines mobilen, automatisierten, optischen Inspektionssystems für radioaktive Fassgebinde (EMOS). Teil II: Eingehende Darstellung
Gentes, S.; Barretto, T.; Hinz, S.; Haitz, D.
2023. Bundesministerium für Bildung und Forschung (BMBF)

Entwicklung eines mobilen, automatisierten, optischen Inspektionssystems für radioaktive Fassgebinde (EMOS). Teil 1: Kurzbericht
Gentes, S.; Barretto, T.; Hinz, S.; Haitz, D.
2023. Bundesministerium für Bildung und Forschung (BMBF)

"Entwicklung eines mobilen automatisierten, optischen Inspektionssystems für radioaktive Fassgebinde (EMOS)" Teil II Abschlussbericht
Gentes, S.; Barretto, T.; Hinz, S.; Haitz, D.
2023

Kurzbericht zum Verbundvorhaben: "Entwicklung eines mobilen automatisierten, optischen Inspektionssystems für radioaktive Fassgebinde (EMOS)" Teil I
Barretto, T.; Gentes, S.; Hinz, S.; Haitz, D.
2023. Schlussbericht EMOS (2023), Bonn, Germany, December 31, 2023

Eingehende Darstellung zum Verbundvorhaben: "Entwicklung eines mobilen automatisierten, optischen Inspektionssystems für radioaktive Fassgebinde (EMOS)" Teil II
Barretto, T.; Gentes, S.; Hinz, S.; Haitz, D.
2023. Schlussbericht EMOS (2023), Bonn, Germany, December 31, 2023

Geometric Accuracy Analysis Between Neural Radiance Fields (NERFS) and Terrestrial Laser Scanning (TLS)
Petrovska, I.; Jäger, M.; Haitz, D.; Jutzi, B.
2023. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W3-2023, 153–159. doi:10.5194/isprs-archives-XLVIII-1-W3-2023-153-2023

Combining Hololens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping
Haitz, D.; Jutzi, B.; Ulrich, M.; Jäger, M.; Hübner, P.
2023. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 167 – 174. doi:10.5194/isprs-archives-XLVIII-1-W1-2023-167-2023

Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping
Haitz, D.; Jutzi, B.; Ulrich, M.; Jäger, M.; Huebner, P.
2023. arxiv. doi:10.48550/arXiv.2304.14301

A comparative Neural Radiance Field (NERF) 3D analsyis of camera poses from HoloLens trajectories and structure from motion
Jäger, M.; Hübner, P.; Haitz, D.; Jutzi, B.
2023. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W1-2023, 207–213. doi:10.5194/isprs-archives-XLVIII-1-W1-2023-207-2023

A comparison of learning-based approaches for the corrosion detection on barrels in industrial applications
Haitz, D.; Hübner, P.; Ulrich, M.; Jutzi, B.
2023. tm - Technisches Messen. doi:10.1515/teme-2023-0009

2022

Semantic segmentation with small training datasets: A case study for corrosion detection on the surface of industrial objects
Haitz, D.; Hübner, P.; Ulrich, M.; Landgraf, S.; Jutzi, B.
2022. Forum Bildverarbeitung 2022. Ed.: T. Längle; M. Heizmann, 73–85, KIT Scientific Publishing

Corrosion detection for industrial objects: from multi-sensor system to 5D feature space
Haitz, D.; Jutzi, B.; Hübner, P.; Ulrich, M.
2022. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B1-2022, 143–150. doi:10.5194/isprs-archives-XLIII-B1-2022-143-2022