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Markus Hillemann
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Automatic extrinsic self-calibration of mobile mapping systems based on geometric 3D features
M Hillemann, M Weinmann, MS Mueller, B Jutzi
Remote sensing 11 (16), 1955, 2019
322019
UCalMiCeL–Unified intrinsic and extrinsic calibration of a multi-camera-system and a laserscanner
M Hillemann, B Jutzi
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017
152017
Comparison of uncertainty quantification methods for cnn-based regression
K Wursthorn, M Hillemann, M Ulrich
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022
72022
Generic hand–eye calibration of uncertain robots
M Ulrich, M Hillemann
2021 IEEE International Conference on Robotics and Automation (ICRA), 11060 …, 2021
72021
Dudes: Deep uncertainty distillation using ensembles for semantic segmentation
S Landgraf, K Wursthorn, M Hillemann, M Ulrich
arXiv preprint arXiv:2303.09843, 2023
62023
Impact of different trajectories on extrinsic self-calibration for vehicle-based mobile laser scanning systems
M Hillemann, J Meidow, B Jutzi
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019
62019
Combining independent visualization and tracking systems for augmented reality
P Hübner, M Weinmann, M Hillemann, B Jutzi, S Wursthorn
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018
62018
Point cloud analysis for uav-borne laser scanning with horizontally and vertically oriented line scanners–concept and first results
M Weinmann, MS Müller, M Hillemann, N Reydel, S Hinz, B Jutzi
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017
62017
Concept for an airborne real-time ISR system with multi-sensor 3D data acquisition
L Haraké, H Schilling, C Blohm, M Hillemann, A Lenz, M Becker, G Keskin, ...
Electro-Optical and Infrared Systems: Technology and Applications XIII 9987 …, 2016
52016
Segmentation of industrial burner flames: A comparative study from traditional image processing to machine and deep learning
S Landgraf, M Hillemann, M Aberle, V Jung, M Ulrich
arXiv preprint arXiv:2306.14789, 2023
32023
Uncertainty-Aware Hand–Eye Calibration
M Ulrich, M Hillemann
IEEE Transactions on Robotics, 2023
12023
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
S Landgraf, M Hillemann, K Wursthorn, M Ulrich
arXiv preprint arXiv:2307.09947, 2023
12023
Evaluation of Self-Supervised Learning Approaches for Semantic Segmentation of Industrial Burner Flames
S Landgraf, L Kühnlein, M Hillemann, M Hoyer, S Keller, M Ulrich
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022
12022
Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation
K Wursthorn, M Hillemann, M Ulrich
arXiv preprint arXiv:2403.07741, 2024
2024
KIT-IPF-Das IPF-Team
M Hillemann
Markus Hillemann, 2024
2024
KIT-IPF-Forschung
M Hillemann
Markus Hillemann, 2024
2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation
S Landgraf, M Hillemann, T Kapler, M Ulrich
arXiv preprint arXiv:2402.10580, 2024
2024
Semantic Mapping and Autonomous Navigation for Agile Production System
B Zhou, JF Klein, B Wang, M Hillemann
2023 IEEE 19th International Conference on Automation Science and …, 2023
2023
Dataset for the Segmentation of Industrial Burner Flames
S Landgraf, M Hillemann, M Ulrich, M Aberle, V Jung, J Großkopf, ...
2023
Geodäsie und Geoinformatik-Highlights-Videos und Podcasts
M Hillemann
Markus Hillemann, 2022
2022
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