| 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 | 139 | 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 | 39 | 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 | 29 | 2021 |
| 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 | 26 | 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 | 23 | 2019 |
| 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 | 17 | 2020 |
| Voxel-based indoor reconstruction from hololens triangle meshes P Hübner, M Weinmann, S Wursthorn arXiv preprint arXiv:2002.07689, 2020 | 14 | 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 | 6 | 2018 |
| 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 | 4 | 2023 |
| 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 | 4 | 2022 |
| 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 | 4 | 2022 |
| Indoor Mapping with Entertainment Devices: Evaluating the Impact of Different Mapping Strategies for Microsoft HoloLens 2 and Apple iPhone 14 Pro J Hou, P Hübner, J Schmidt, D Iwaszczuk Sensors 24 (4), 1062, 2024 | 3 | 2024 |
| Combining HoloLens with instant-NeRFs: Advanced real-time 3D mobile mapping D Haitz, B Jutzi, M Ulrich, M Jäger, P Huebner arXiv preprint arXiv:2304.14301, 2023 | 3 | 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 | 3 | 2023 |
| 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 |
| 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 90 (7-8), 522-532, 2023 | 2 | 2023 |
| 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 |
| Evaluation of Intel Realsense D455 Camera Depth Estimation for Indoor Slam Applications P Hübner, J Hou, D Iwaszczuk The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2023 | | 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 |
| Indoor Mapping and Reconstruction with Mobile Augmented Reality Sensor Systems P Hübner Karlsruhe Institute of Technology (KIT), 2022 | | 2022 |
Martin WeinmannKarlsruhe Institute of Technology (KIT)Bestätigte E-Mail-Adresse bei kit.edu
