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

6
H-Index
9
Papers
625
Total Citations
69
Avg Citations/Paper
🏆 Most Cited Paper
Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark
410 citations · 2020
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 33
🏛 Institutions: Technical University of Munich, American Society for Photogrammetry and Remote Sensing

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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