Dennis Haitz, M.Sc.

Dennis Haitz, M.Sc.

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
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, 90 (7-8), 522–532. doi:10.1515/teme-2023-0009
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 1: Kurzbericht
Gentes, S.; Barretto, T.; Hinz, S.; Haitz, D.
2023. Technische Informationsbibliothek (TIB)
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, Deutschland, 31. Dezember 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, Deutschland, 31. Dezember 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
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