Konstantin Arbogast
Papers
1
Total Citations
16
H-Index
1
About
Konstantin Arbogast is a leading researcher in the field of seismology and structural health monitoring, with a particular focus on the fusion of multi-sensor data for high-precision motion tracking. His most-cited work, "Kalman Filter-Based Fusion of Collocated Acceleration, GNSS and Rotation Data for 6C Motion Tracking" (2021, 16 citations), addresses a critical gap in geophysical instrumentation: the inability of any single sensor to capture all six components of ground or structural motion—three translational and three rotational. Arbogast’s major contribution lies in developing a robust Kalman filter framework that synergistically integrates data from accelerometers, GNSS receivers, and rotational sensors, enabling unprecedented accuracy in recording complex motion during earthquakes or ambient vibrations of large engineered structures. This work has significant implications for improving seismic hazard assessment and the real-time monitoring of infrastructure resilience. With 16 citations, his research is gaining traction among engineers and seismologists seeking to advance 6C motion tracking. Arbogast’s innovative sensor fusion approach marks a notable achievement, offering a practical solution to a long-standing instrumentation challenge and paving the way for safer, more responsive structural systems.
Research Focus
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Top Papers
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