Wolfgang Ponweiser

TU Wien

Papers

9

Total Citations

74

H-Index

5

About

Wolfgang Ponweiser is a researcher whose work lies at the intersection of computer vision, robotics, and cognitive systems, with a particular focus on enabling robust visual perception for autonomous navigation. His major contributions center on developing model-based object tracking and visual servoing techniques that overcome real-world challenges like background clutter and varying ambient conditions. His seminal paper, "Edge-Projected Integration of Image and Model Cues for Robust Model-Based Object Tracking" (2001, 21 citations), introduced a framework that significantly improved edge-based feature tracking by integrating image and model cues, a foundational approach for industrial inspection and welding tasks. Ponweiser also made notable strides in simultaneous localization and mapping (SLAM) with his work on real-time SLAM using high-speed CMOS cameras (2007, 5 citations), addressing critical constraints in mobile robotics and augmented reality. His RobVision project (2002, 11 citations) demonstrated practical impact by navigating a climbing robot through ship sections for inspection, showcasing his ability to bridge theory and application. Additionally, his development of a software framework for cognitive vision systems (2005, 8 citations) integrated reasoning components, advancing the field's move toward more intelligent, adaptive visual systems.

Research Focus

Key Achievements

5
H-Index
9
Papers
74
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Edge-Projected Integration of Image and Model Cues for Robust Model-Based Object Tracking
21 citations · 2001
📈 Most Prolific Year: 2001 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: TU Wien

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago