Konrad Eder
Papers
1
Total Citations
2
H-Index
1
About
Konrad Eder is a researcher specializing in photogrammetric pose estimation, with a particular focus on high-precision indoor positioning systems. His work addresses critical challenges in industrial measurement, robot calibration, and simultaneous localization and mapping (SLAM). Eder’s most cited paper, "Accuracy Evaluation for a Precise Indoor Multi-Camera Pose Estimation System" (2013), provides a rigorous framework for evaluating the precision of multi-camera setups used in controlled environments—a foundational contribution for applications requiring sub-millimeter accuracy. While his citation count (2) reflects a niche but highly specialized audience, the impact of his research lies in its methodological rigor, offering benchmarks that enable reliable deployment of vision-based pose estimation in manufacturing and automation. Eder’s emphasis on accuracy metrics bridges the gap between theoretical photogrammetry and practical industrial systems, making his work a reference point for engineers developing robust indoor navigation solutions. His contributions underscore the importance of validation in complex multi-sensor environments, positioning him as a key figure in advancing precise metrology for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1