Hans Neuner
Papers
7
Total Citations
79
H-Index
4
About
Hans Neuner is a researcher specializing in engineering geodesy, kinematic mapping, and multi-sensor fusion systems, with a particular focus on integrating diverse positioning and navigation technologies for high-precision spatial data acquisition. His most influential work, "Integrated trajectory estimation for 3D kinematic mapping with GNSS, INS and imaging sensors" (2023, 30 citations), offers a comprehensive framework for fusing satellite navigation, inertial systems, and cameras to achieve robust trajectory estimation — a foundational challenge in mobile mapping. Neuner has also made notable contributions to expanding the role of Robotic Total Stations (RTS) in kinematic applications, addressing critical issues such as temporal calibration, systematic distance deviations, and tight-coupled sensor fusion with inertial navigation systems for full 6DoF pose estimation. His interdisciplinary reach extends to machine learning, demonstrated through his work applying extended Kalman filters and artificial neural networks to robot arm system identification (2019, 17 citations). Across his portfolio, Neuner consistently tackles the practical challenges of sensor calibration, uncertainty quantification, and indoor-outdoor positioning limitations, making his research highly relevant to robotics, autonomous systems, and precision geospatial engineering communities.
Research Focus
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