Bastian Steder

University of Freiburg

Papers

19

Total Citations

1,454

H-Index

14

About

Bastian Steder is a robotics researcher whose work has profoundly shaped the fields of Simultaneous Localization and Mapping (SLAM), 3D range data processing, and autonomous robot navigation. His early contributions to SLAM benchmarking — most notably his co-authored papers "On measuring the accuracy of SLAM algorithms" and "A comparison of SLAM algorithms based on a graph of relations" (together accumulating over 450 citations) — established rigorous, objective frameworks for evaluating navigation algorithms that remain foundational references in the field. Steder made significant advances in 3D place recognition, developing point-feature-based approaches and bag-of-words methods that enabled robots to reliably identify previously visited locations using LiDAR data. His research extended into demanding real-world environments, tackling autonomous navigation in densely populated pedestrian zones and crowded urban settings — challenges few researchers had previously confronted. He further demonstrated versatility through contributions to visual SLAM for aerial vehicles, semi-supervised traversability analysis using 3D LiDAR, and localization against OpenStreetMap data. With multiple papers exceeding 100 citations, Steder's body of work reflects a consistent commitment to bridging theoretical rigor with practical robotics deployment, making him an influential figure for researchers advancing autonomous mobile systems.

Research Focus

Key Achievements

14
H-Index
19
Papers
1,454
Total Citations
77
Avg Citations/Paper
🏆 Most Cited Paper
On measuring the accuracy of SLAM algorithms
333 citations · 2009
📈 Most Prolific Year: 2009 (4 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Freiburg

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago