11 citations · 11 across the 2 of their papers we have counts for
3 papers
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, Dominik Laupheimer, Stefan Schmohl +4
Automated semantic segmentation and object detection are of great importance in geospatial data analysis. However, supervised machine learning systems such as convolutional neural…
Photometric Multi-View Mesh Refinement for High-Resolution Satellite Images
Mathias Rothermel, Ke Gong, Dieter Fritsch +2
Modern high-resolution satellite sensors collect optical imagery with ground sampling distances (GSDs) of 30-50cm, which has sparked a renewed interest in photogrammetric 3D surfac…
Learning Super-resolved Depth from Active Gated Imaging
Tobias Gruber, Mariia Kokhova, Werner Ritter +2
Environment perception for autonomous driving is doomed by the trade-off between range-accuracy and resolution: current sensors that deliver very precise depth information are usua…