| Evaluation of HoloLens tracking and depth sensing for indoor mapping applications P Hübner, K Clintworth, Q Liu, M Weinmann, S Wursthorn Sensors 20 (4), 1021, 2020 | 102 | 2020 |
| Marker-based localization of the microsoft hololens in building models P Hübner, M Weinmann, S Wursthorn The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 33 | 2018 |
| Efficient 3d mapping and modelling of indoor scenes with the microsoft hololens: A survey M Weinmann, S Wursthorn, M Weinmann, P Hübner PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 89 …, 2021 | 20 | 2021 |
| Evaluation of the Microsoft HoloLens for the Mapping of Indoor Building Environments P Hübner, S Landgraf, M Weinmann, S Wursthorn 39. Wissenschaftlich-Technische Jahrestagung der DGPF - Dreiländertagung OVG …, 2019 | 19 | 2019 |
| Automatic voxel-based 3D indoor reconstruction and room partitioning from triangle meshes P Hübner, M Weinmann, S Wursthorn, S Hinz ISPRS Journal of Photogrammetry and Remote Sensing 181, 254-278, 2021 | 17 | 2021 |
| 3D indoor mapping with the Microsoft HoloLens: qualitative and quantitative evaluation by means of geometric features M Weinmann, MA Jäger, S Wursthorn, B Jutzi, P Hübner ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2020 | 14 | 2020 |
| Voxel-based indoor reconstruction from HoloLens triangle meshes P Hübner, M Weinmann, S Wursthorn arXiv preprint arXiv:2002.07689, 2020 | 12 | 2020 |
| 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 | 5 | 2018 |
| Corrosion detection for industrial objects: from multi-sensor system to 5D feature space D Haitz, B Jutzi, P Huebner, M Ulrich arXiv preprint arXiv:2205.07075, 2022 | 3 | 2022 |
| Pose normalization of indoor mapping datasets partially compliant with the manhattan world assumption P Hübner, M Weinmann, S Wursthorn, S Hinz Remote Sensing 13 (23), 4765, 2021 | 3 | 2021 |
| Semantic segmentation with small training datasets: a case study for corrosion detection on the surface of industrial objects D Haitz, P Hübner, M Ulrich, S Landgraf, B Jutzi Image Processing Forum, 73-85, 2022 | 2 | 2022 |
| Normal classification of 3D occupancy grids for voxel-based indoor reconstruction from point clouds P Hübner, S Wursthorn, M Weinmann ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022 | 2 | 2022 |
| Octree-Based Approach for Real-Time 3d Indoor Mapping Using Rgb-D Video Data J Hou, M Goebel, P Hübner, D Iwaszczuk The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2023 | 1 | 2023 |
| A Comparative Neural Radiance Field (NeRF) 3D Analysis of Camera Poses from HoloLens Trajectories and Structure from Motion M Jäger, P Hübner, D Haitz, B Jutzi arXiv preprint arXiv:2304.10664, 2023 | 1 | 2023 |
| EVALUATING GEOMETRY OF AN INDOOR SCENARIO WITH OCCLUSIONS BASED ON TOTAL STATION MEASUREMENTS OF WALL ELEMENTS J Schmidt, V Volland, P Hübner, D Iwaszczuk, A Eichhorn The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2023 | | 2023 |
| A comparison of learning-based approaches for the corrosion detection on barrels in industrial applications D Haitz, P Hübner, M Ulrich, B Jutzi tm-Technisches Messen, 2023 | | 2023 |
| Combining HoloLens with Instant-NeRFs: Advanced Real-Time 3D Mobile Mapping D Haitz, B Jutzi, M Ulrich, M Jäger, P Hübner arXiv preprint arXiv:2304.14301, 2023 | | 2023 |
| Indoor Mapping and Reconstruction with Mobile Augmented Reality Sensor Systems P Hübner Karlsruhe Institute of Technology (KIT), 2022 | | 2022 |
| Pose Normalization of Indoor Mapping Datasets Partially Compliant with the Manhattan World Assumption. Remote Sens. 2021, 13, 4765 P Hübner, M Weinmann, S Wursthorn, S Hinz s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021 | | 2021 |
Martin WeinmannKarlsruhe Institute of Technology (KIT)Verified email at kit.edu
