Biographie

seit 05.2020	Wissenschaftlicher Mitarbeiter am IPF (Machine Vision Metrology)
02.2020	Dissertation: "Selbstkalibrierung mobiler Multisensorsysteme mittels geometrischer 3D-Merkmale"
03.2016 - 02.2020	Doktorand und Wissenschaftlicher Mitarbeiter am IPF sowie externer Mitarbeiter am Fraunhofer Institut für Optronik, Systemtechnik und Bildauswertung (IOSB) in Ettlingen
2015	Masterarbeit: "Untersuchungen einer Erweiterung des Kanade-Lucas-Tomasi-Feature-Trackers für Bilder mit bekannter radialer Verzeichnung" am Fraunhofer Institut für Optronik, Systemtechnik und Bildauswertung (IOSB)
2014 - 2016	Wissenschaftliche Hilfskraft am Fraunhofer IOSB
2013 - 2015	Master-Studium der Geodäsie und Geoinformatik am KIT
2013	Bachelorarbeit: "Untersuchung zur Berechnung der Eigenbewegung eines Kinect-Sensors mit dem ICP-Algorithmus" am Institut für Photogrammetrie und Fernerkundung (IPF) des KIT
2010 - 2014	Wissenschaftliche Hilfskraft am Geodätischen Institut Karlsruhe (GIK) des KIT
2009 - 2013	Bachelor-Studium der Geodäsie und Geoinformatik am Karlsruher Institut für Technologie (KIT)

Forschungsschwerpunkte

Entwicklung und Kalibrierung von Multisensorsystemen (z.B. Kameras und Laserscanner)
Positionsbestimmung von Multisensorplattformen (z.B. UAVs)
Simultaneous Localization and Mapping (SLAM)
(Nahbereichs-) Photogrammetrie und Industrielle Bildverarbeitung

Publikationen

2024

HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2
Jäger, M.; Kapler, T.; Feßenbecker, M.; Birkelbach, F.; Hillemann, M.; Jutzi, B.
2024. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-2024, 159 – 166. doi:10.5194/isprs-archives-XLVIII-2-2024-159-2024
Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation
Wursthorn, K.; Hillemann, M.; Ulrich, M.
2024. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-2-2024, 223–230. doi:10.5194/isprs-annals-X-2-2024-223-2024
Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications
Hillemann, M.; Langendörfer, R.; Heiken, M.; Mehltretter, M.; Schenk, A.; Weinmann, M.; Hinz, S.; Heipke, C.; Ulrich, M.
2024. arxiv. doi:10.48550/arXiv.2405.04345
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, 92 (2), 101–114. doi:10.1007/s41064-024-00280-4
HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2
Jäger, M.; Kapler, T.; Feßenbecker, M.; Birkelbach, F.; Hillemann, M.; Jutzi, B.
2024. doi:10.48550/arXiv.2405.02005
Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications
Hillemann, M.; Langendörfer, R.; Heiken, M.; Mehltretter, M.; Schenk, A.; Weinmann, M.; Hinz, S.; Heipke, C.; Ulrich, M.
2024. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-2-2024, 137–144. doi:10.5194/isprs-archives-XLVIII-2-2024-137-2024
Uncertainty-aware Cross-Entropy for Semantic Segmentation
Landgraf, S.; Hillemann, M.; Wursthorn, K.; Ulrich, M.
2024. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, X-2-2024, 129–136. doi:10.5194/isprs-annals-X-2-2024-129-2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
Landgraf, S.; Hillemann, M.; Kapler, T.; Ulrich, M.
2024. arxiv. doi:10.48550/arXiv.2402.10580
Uncertainty-Aware Hand–Eye Calibration
Ulrich, M.; Hillemann, M.
2024. IEEE Transactions on Robotics, 40, 573–591. doi:10.1109/TRO.2023.3330609

2023

Semantic Mapping and Autonomous Navigation for Agile Production System
Zhou, B.; Klein, J.-F.; Wang, B.; Hillemann, M.
2023. 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-30 August 2023, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CASE56687.2023.10260623
Dataset for the Segmentation of Industrial Burner Flames
Landgraf, S.; Hillemann, M.; Ulrich, M.; Aberle, M.; Jung, V.
2023, Juni 20. doi:10.5445/IR/1000159497
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
Segmentation of Industrial Burner Flames: A Comparative Study from Traditional Image Processing to Machine and Deep Learning
Landgraf, S.; Hillemann, M.; Aberle, M.; Jung, V.; Ulrich, M.
2023. doi:10.5445/IR/1000159876
DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation
Landgraf, S.; Wursthorn, K.; Hillemann, M.; Ulrich, M.
2023

2022

Beat the MArVIN - Industrieroboter MArVIN lernt Geschicklichkeitsspiel "der heiße Draht"
Wursthorn, K.; Hillemann, M.; Ulrich, M.
2022. doi:10.5445/IR/1000150338
Evaluation of self-supervised learning approaches for semantic segmentation of industrial burner flames
Landgraf, S.; Kühnlein, L.; Hillemann, M.; Hoyer, M.; Keller, S.; Ulrich, M.
2022. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2022, 601–607. doi:10.5194/isprs-archives-XLIII-B2-2022-601-2022
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

2021

Generic Hand–Eye Calibration of Uncertain Robots
Ulrich, M.; Hillemann, M.
2021. IEEE International Conference on Robotics and Automation (ICRA), 30 May-5 June 2021, 11060–11066, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICRA48506.2021.9560823

2020

Selbstkalibrierung mobiler Multisensorsysteme mittels geometrischer 3D-Merkmale. Dissertation
Hillemann, M.
2020, November 2. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000125412

2019

Impact of different trajectories on extrinsic self-calibration for vehicle-based mobile laser scanning systems
Hillemann, M.; Meidow, J.; Jutzi, B.
2019. The international archives of photogrammetry, remote sensing and spatial information sciences, XLII-2/W16, 119–125. doi:10.5194/isprs-archives-XLII-2-W16-119-2019
Automatic Extrinsic Self-Calibration of Mobile Mapping Systems Based on Geometric 3D Features
Hillemann, M.; Weinmann, M.; Mueller, M. S.; Jutzi, B.
2019. Remote sensing, 11 (16), Article: 1955. doi:10.3390/rs11161955

2018

Combining independent visualization and tracking systems for augmented reality
Hübner, P.; Weinmann, M.; Hillemann, M.; Jutzi, B.; Wursthorn, S.
2018. 2018 ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, 455–462, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprs-archives-XLII-2-455-2018

2017

UCalMiCeL - Unified Intrinsic and Extrinsic Calibration of a Multi-Camera-System and a Laserscanner
Hillemann, M.; Jutzi, B.
2017. 4th ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences - International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4.-7. September 2017. Ed.: C. Stachniss. Vol. IV-2/W3., 49–57, ISPRS. doi:10.5194/isprs-annals-IV-2-W3-17-2017
Point cloud analysis for UAV-borne laser scanning with horizontally and vertically oriented line scanners - Concept and first results
Weinmann, M.; Müller, M. S.; Hillemann, M.; Reydel, N.; Hinz, S.; Jutzi, B.
2017. 4th ISPRS International Conference on Unmanned Aerial Vehicles in Geomatics, Bonn, Germany, 4th - 7th September 2017, 399–406, International Society for Photogrammetry and Remote Sensing (ISPRS). doi:10.5194/isprs-archives-XLII-2-W6-399-2017

2016

Concept for an airborne real-time ISR system with multi-sensor 3D data acquisition
Haraké, L.; Schilling, H.; Blohm, C.; Hillemann, M.; Lenz, A.; Becker, M.; Keskin, G.; Middelmann, W.
2016. Electro-Optical and Infrared Systems: Technology and Applications XIII, SPIE Security + Defence, 2016, Edinburgh, United Kingdom, 26-29 September 2016. Ed.: D. A. Huckridge, 998709, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2241051