Yongmin Zhong
RMIT University
195 Papers
501 Citations
Yongmin Zhong is an academic researcher from RMIT University. The author has contributed to research in topics: Kalman filter & Computer science. The author has an hindex of 26, co-authored 179 publications. Previous affiliations of Yongmin Zhong include Deakin University & Nanyang Technological University.
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Papers
Three flexure hinges for compliant mechanism designs based on dimensionless graph analysis
TL;DR: In this paper, the in-plane and out-of-plane stiffnesses of the flexure hinges are derived for the purpose of optimized geometric design, based on the developed methodologies, the influences of the geometric parameters on the performance of the flexible hinge are investigated.
186
A derivative UKF for tightly coupled INS/GPS integrated navigation.
TL;DR: The derivative UKF adopts the concise form of the original Kalman filter (KF) to the prediction process and employs the unscented transformation technique to the update process and can achieve higher accuracy with a much smaller computational cost in comparison with the traditional UKF.
177
Unscented kalman filter with process noise covariance estimation for vehicular ins/gps integration system
TL;DR: A new adaptive UKF with process noise covariance estimation is proposed to enhance the UKF robustness against process noise uncertainty for vehicular INS/GPS integration.
170
Multi-sensor optimal data fusion for INS/GPS/SAR integrated navigation system
TL;DR: Experimental results demonstrate that INS/GPS/SAR integrated navigation systems achieved by using the proposed methodology have a better performance than INS orGPS integrated systems.
170
A new direct filtering approach to INS/GNSS integration
TL;DR: A refined strong tracking unscented Kalman filter (RSTUKF) is developed to enhance the UKF robustness against kinematic model error and maintains the optimal UKF estimation in the absence of kinematics model error.
159