Byungjin Lee
Papers
1
Total Citations
10
H-Index
1
About
Byungjin Lee is a researcher specializing in magnetic field-based sensing and pose estimation, with a focus on advancing spatial perception for dynamic systems. His key research areas include planar pose estimation, magnetic field modeling, and sensor system design. Lee’s major contribution lies in challenging the limitations of traditional dipole models in magnetic field-based localization. In his highly cited 2022 study, “Planar Pose Estimation System Design via Explicit Spatial Representation Model of Concurrent AC Magnetic Fields,” he proposed a novel algorithm and system implementation that leverages concurrent AC magnetic fields from an array of coils. This work directly addresses the inappropriate prediction characteristics of dipole models when operating over dynamic ranges, offering a more accurate and robust solution for real-world applications. With 10 citations, this paper has already garnered attention for its practical implications in robotics and automation. Lee’s innovative approach to explicit spatial representation marks a significant step forward in magnetic sensing, positioning him as a promising contributor to the field of intelligent systems and sensor technology.
Research Focus
Key Achievements
Top Papers
- 1