| 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 | 33 | 2019 |
| 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 | 15 | 2017 |
| Generic hand–eye calibration of uncertain robots M Ulrich, M Hillemann 2021 IEEE International Conference on Robotics and Automation (ICRA), 11060 …, 2021 | 8 | 2021 |
| 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 | 6 | 2023 |
| 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 | 6 | 2022 |
| 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 | 6 | 2019 |
| 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 | 6 | 2018 |
| 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 | 6 | 2017 |
| 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 | 5 | 2016 |
| Dudes: Deep uncertainty distillation using ensembles for semantic segmentation S Landgraf, K Wursthorn, M Hillemann, M Ulrich PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 92 …, 2024 | 4 | 2024 |
| Uncertainty quantification with deep ensembles for 6d object pose estimation K Wursthorn, M Hillemann, M Ulrich arXiv preprint arXiv:2403.07741, 2024 | 3 | 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 | 3 | 2024 |
| Uncertainty-aware hand–eye calibration M Ulrich, M Hillemann IEEE Transactions on Robotics, 2023 | 2 | 2023 |
| U-CE: Uncertainty-aware cross-entropy for semantic segmentation S Landgraf, M Hillemann, K Wursthorn, M Ulrich arXiv preprint arXiv:2307.09947, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| Novel View Synthesis with Neural Radiance Fields for Industrial Robot Applications M Hillemann, R Langendörfer, M Heiken, M Mehltretter, A Schenk, ... arXiv preprint arXiv:2405.04345, 2024 | 1 | 2024 |
| Evaluation of Multi-task Uncertainties in Joint Semantic Segmentation and Monocular Depth Estimation S Landgraf, M Hillemann, T Kapler, M Ulrich arXiv preprint arXiv:2405.17097, 2024 | | 2024 |
| HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2 M Jäger, T Kapler, M Feßenbecker, F Birkelbach, M Hillemann, B Jutzi arXiv preprint arXiv:2405.02005, 2024 | | 2024 |
| KIT-IPF-Das IPF-Team M Hillemann Markus Hillemann, 2024 | | 2024 |
| Geodäsie und Geoinformatik-Im Studium-BSc Geodäsie und Geoinformatik M Hillemann Markus Hillemann, 2024 | | 2024 |
Boris JutziTechnical University of Munich (TUM) / Karlsruhe Institute of Technology (KIT)Bestätigte E-Mail-Adresse bei tum.de
