Edwin Riipkema

Papers

1

Total Citations

4

H-Index

1

About

Edwin Riipkema’s research centers on camera pose estimation and the integration of wireless sensor networks with computer vision. His major contribution lies in developing an innovative inside-out tracking system that uses LED sightings from wireless sensor nodes to determine camera position and orientation—a method that bridges virtual and augmented reality, gaming, and robotics. His work on “Pose estimation with radio-controlled visual markers” (2010) introduced a practical, radio-controlled approach to marker-based tracking, offering a robust alternative to traditional outside-in systems. While his citation count (4) reflects a niche but focused impact, his work has been foundational for researchers exploring low-cost, scalable pose estimation solutions. Riipkema’s achievements include advancing the synergy between embedded wireless nodes and visual tracking, paving the way for more accessible AR/VR and robotic applications. His research remains a valuable reference for those seeking efficient, marker-based pose estimation in constrained environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Pose estimation with radio-controlled visual markers
4 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago