D. Laupheimer

The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo

Michael Kölle, D. Laupheimer, Stefan Schmohl et al. · Zurich Open Repository and Archive (University of Zurich) · 2021 · 95 citations

Hybrid georeferencing of images and LiDAR data for UAV-based point cloud collection at millimetre accuracy

Norbert Haala, Michael Kölle, Michael Cramer et al. · ISPRS Open Journal of Photogrammetry and Remote Sensing · 2022 · 37 citations · Full text

ULTRA-HIGH PRECISION UAV-BASED LIDAR AND DENSE IMAGE MATCHING

Michael Cramer, Norbert Haala, D. Laupheimer et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2018 · 30 citations · Full text

Engineering, Field Robotics, Point Cloud Processing +17

HYBRID GEOREFERENCING, ENHANCEMENT AND CLASSIFICATION OF ULTRA-HIGH RESOLUTION UAV LIDAR AND IMAGE POINT CLOUDS FOR MONITORING APPLICATIONS

Norbert Haala, Michael Kölle, Michael Cramer et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2020 · 26 citations · Full text

Engineering, Point Cloud Processing, Point Cloud +19

SEMANTIC URBAN MESH ENHANCEMENT UTILIZING A HYBRID MODEL

Patrick Tutzauer, D. Laupheimer, Norbert Haala · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2019 · 23 citations · Full text

Geometric Learning, Convolutional Neural Network, Engineering +24