Otmar Loffeld
Papers
6
Total Citations
71
H-Index
4
About
Otmar Loffeld is a researcher whose work spans indoor navigation, sensor fusion, and image processing, with particular focus on integrating complementary sensing technologies to achieve robust real-world performance. His most influential contribution lies in the development of INS/Wi-Fi integrated indoor navigation systems, where he pioneered the use of adaptive Kalman filtering combined with vehicle motion constraints to deliver continuous, low-cost positioning in environments where GPS is unavailable. This work, published in 2012, has garnered 41 citations and remains a foundational reference for researchers tackling the persistent challenge of reliable indoor localization. Loffeld has also made notable contributions to computer vision and human-robot interaction, including real-time hand gesture-based robot control using 2D/3D imaging and techniques for image stabilization on mobile platforms equipped with Time-of-Flight cameras. His career demonstrates a consistent interest in bridging theoretical sensor modeling with practical navigation and perception systems. Early work from 1986 on high-precision laser distance measurement further reflects a long-standing commitment to precision sensing. Across his portfolio, Loffeld's research offers valuable methodological foundations for students and engineers working in autonomous systems, robotics, and indoor localization.
Research Focus
Key Achievements
Top Papers
- 1
- 2Real Time Hand Based Robot Control Using 2D/3D Images15 citations · 2008
- 3Real-Time Image Stabilization for ToF Cameras on Mobile Platforms6 citations · 2013
- 4Enhanced INS/Wi-Fi Integration for Indoor Vehicle Navigation4 citations · 2012
- 5
- 62D/3D Image Data Analysis for Object Tracking and Classification2 citations · 2009