Papers

8

Total Citations

97

H-Index

6

About

Dagmar Lang is a leading researcher in autonomous mobile robotics, with a focus on real-time 3D mapping, terrain classification, and semantic mapping for outdoor and disaster-response environments. Her work addresses the critical challenge of enabling robots to operate reliably in unstructured, hazardous settings—such as collapsed buildings or rough terrain—where traditional algorithms often fail. Lang’s most cited paper (29 citations) presents a field report from Disaster City, demonstrating real-time 3D mapping on rough terrain, a foundational contribution to rescue robotics. She pioneered the use of Markov Random Fields for terrain classification by fusing camera and 3D laser range data (20 citations), enabling robots to distinguish obstacles from negotiable ground. Her research on semantic maps (11 citations) advanced robots’ ability to gather and represent environmental knowledge for high-level tasks. Lang also contributed to victim detection via heat mapping (12 citations) and developed the Robbie message-based robot architecture (10 citations), promoting modular, reusable system design. Her team’s participation in the RoboCupRescue competition underscores her commitment to deploying robust, field-tested systems. With a total of nearly 100 citations, Lang’s work has significantly shaped autonomous navigation in challenging outdoor and rescue scenarios.

Research Focus

Key Achievements

6
H-Index
8
Papers
97
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Real-time 3D mapping of rough terrain: A field report from Disaster City
29 citations · 2010
📈 Most Prolific Year: 2011 (4 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: University of Koblenz and Landau, Universität Koblenz

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago