Papers

9

Total Citations

503

H-Index

7

About

Jan Elseberg is a robotics and computer science researcher whose work centers on 3D mapping, point cloud processing, and autonomous robot systems. He is perhaps best known for his foundational contribution to simultaneous localization and mapping (SLAM), with his 2007 paper "Globally consistent 3D mapping with scan matching" accumulating an impressive 279 citations and establishing him as a significant voice in the field. His subsequent research tackled the computational challenges posed by modern laser-scanning technology, addressing how robots can efficiently process billions of spatial data points in real time — a problem explored in his widely cited 2011 work on large-scale 3D point cloud processing. Elseberg extended his expertise into applied domains, pioneering thermal 3D mapping techniques for building façades and developing mutual calibration methods for thermal mapping systems, work that bridges robotics with architectural and energy-efficiency applications. His IRMA3D intelligent mapping robot project demonstrated a practical integration of his theoretical contributions into real-world autonomous systems. More recently, he applied 3D reconstruction methods to archaeological documentation through the CASTLE3D system, showcasing the interdisciplinary reach of his research. Across his career, Elseberg has made consistent contributions to making 3D environmental sensing faster, smarter, and more broadly applicable.

Research Focus

Key Achievements

7
H-Index
9
Papers
503
Total Citations
56
Avg Citations/Paper
🏆 Most Cited Paper
Globally consistent 3D mapping with scan matching
279 citations · 2007
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Osnabrück University, Constructor University, University of Würzburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago