Dense collaborative mapping with deep visual SLAM method. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (XLVIII-1-2024):547--554, 2024. [PUMA: conference] URL
Multi-scale Transformer-based classification of bathymetric LiDAR data in shallow water environments. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (XLVIII-2/W10-2025):1--6, 2025. [PUMA: conference] URL
Adaptive Sphere-Based Feature Extraction for Efficient Classification of Bathymetric LiDAR Data. In Thomas P. Kersten & Nora Tilly (Eds.), Dreiländertagung der DGPF, der OVG und der SGPF in Muttenz, Schweiz, (Publikationen der DGPF)33:1-9, Geschäftsstelle der DGPF, 2025. [PUMA: conference peer review] URL
Error Covariance Analyses for Celestial Triangulation and Its Optimality: Improved Linear Optimal Sine Triangulation. Aerospace, (12)52025. [PUMA: conference review] URL
HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction. 2024. [PUMA: journal peer review] URL
3D Gaussian Splatting aided Localization for Large and Complex Indoor-Environments. 2025. [PUMA: conference peer review] URL
Point surfel transformer network for semantic segmentation of large-scale ALS point clouds. 42. Wissenschaftlich-Technische Jahrestagung der DGPF, 5.-6. Oktober 2022 in Dresden, 290-296, Geschäftsstelle der DGPF;, Stuttgart, 2022. [PUMA: conference review] URL
Target-aware attentional network for rare class segmentation in large-scale LiDAR point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, (220):32-50, 2025. [PUMA: journal rp26 peer review] URL
Crowd Controls Crowd: Quality Improvement of Polygon Integration in Paid Crowdsourcing. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (X-4-2024):83--90, 2024. [PUMA: conference rp26 peer review] URL
DMSA - Dense Multi Scan Adjustment for LiDAR Inertial Odometry and Global Optimization. 2024 IEEE International Conference on Robotics and Automation (ICRA), 12027-12033, 2024. [PUMA: conference review]
Neural Surface Reconstruction: A Game Changer for 3D Data Collection from Airborne Imagery?. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2619--2624, 2024. [PUMA: conference review]
Neural Surface Reconstruction: A Game Changer for 3D Data Collection from Airborne Imagery?. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 2619--2624, 7-12. [PUMA: conference review]
Narrowing the Synthetic-to-Real Gap for Thermal Infrared Semantic Image Segmentation Using Diffusion-based Conditional Image Synthesis. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 3131-3141, June 2024. [PUMA: conference peer review] URL
Depth Supervised Neural Surface Reconstruction from Airborne Imagery. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (X-2-2024):89--96, 2024. [PUMA: conference review] URL
SLAM for Indoor Mapping of Wide Area Construction Environments. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (X-2-2024):209--216, 2024. [PUMA: conference rp26 peer review] URL
A two-step approach for the acquisition of individual tree outlines using paid crowdsourcing. 43. Wissenschaftlich-Technische Jahrestagung der DGPF, 22.-23. März 2023 in München, 163-173, Geschäftsstelle der DGPF, Stuttgart, 2023. [PUMA: con conference peer review] URL
Analysis and Implementation of Rotation-invariant Neural Network Architectures for Feature Extraction. 44. Wissenschaftlich-Technische Jahrestagung der DGPF in Remagen – Publikationen der DGPF, (32):12-19, 2024. [PUMA: conference peer review] URL
Building a Fully-Automatized Active Learning Framework for the Semantic Segmentation of Geospatial 3D Point Clouds. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2024. [PUMA: journal review] URL
Forming a hybrid intelligence system by combining Active Learning and paid crowdsourcing for semantic 3D point cloud segmentation. Universität Stuttgart, 2023. URL