Papers
9
Total Citations
625
H-Index
6
About
Uwe Stilla is a prominent researcher in 3D point cloud processing, photogrammetry, and remote sensing, with particular expertise in LiDAR-based sensing systems and urban scene analysis. His most influential contribution — a comprehensive review and benchmark on the registration of large-scale terrestrial laser scanner point clouds (2020, 410 citations) — has become an essential reference for researchers working with 3D spatial data, establishing methodological standards across the field. Stilla has made significant advances in urban change detection, developing object-based and multi-view airborne laser scanning (ALS) approaches that enable precise monitoring of dynamic urban environments over time. His more recent work pushes into autonomous systems, with CASSPR (2023), a cross-attention architecture for single-scan LiDAR place recognition, demonstrating state-of-the-art performance relevant to self-driving vehicles and robotics. He has also pioneered multimodal sensor fusion, integrating thermal infrared imagery with 3D point clouds for robust indoor scene reconstruction — a technically demanding challenge with significant practical applications in building inspection and mobile mapping. Across these domains, Stilla's research consistently bridges fundamental geometric methods with real-world deployment challenges, making him a key figure in modern 3D computer vision and geospatial sensing communities.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3CASSPR: Cross Attention Single Scan Place Recognition73 citations · 2023
- 4Fast and deterministic (3+1)DOF point set registration with gravity prior19 citations · 2023
- 5FUSION OF 3D POINT CLOUDS WITH TIR IMAGES FOR INDOOR SCENE RECONSTRUCTION13 citations · 2018
- 6
- 7CASSPR: Cross Attention Single Scan Place Recognition5 citations · 2022
- 8
- 9