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1 S. S. Gao, "Windowing and random weighting-based adaptive unscented Kalman filter" 29 (29): 201-223, 2015
2 S. J. Julier, "Unscented filtering and nonlinear estimation" 92 (92): 401-422, 2004
3 김상봉, "Trajectory Tracking and Fault Detection Algorithm for Automatic Guided Vehicle Based on Multiple Positioning Modules" 제어·로봇·시스템학회 14 (14): 400-410, 2016
4 G. G. Hu, "Stochastic stability of the derivative unscented Kalman filter" 24 (24): 070202-, 2015
5 C. E. Seah, "State estimation for stochastic linear hybrid systems with continuous-state-dependent transitions : an IMM approach" 45 (45): 376-392, 2009
6 D. Y. Kim, "Square Root Receding Horizon Information Filters for Nonlinear Dynamic System Models" 58 (58): 1284-1289, 2013
7 S. Y. Cho, "Robust positioning technique in low-cost DR/GPS for land navigation" 55 (55): 1132-1142, 2006
8 Yan Zhao, "Robust Predictive Augmented Unscented Kalman Filter" 제어·로봇·시스템학회 12 (12): 996-1004, 2014
9 Shesheng Gao, "Random Weighting Estimation for Systematic Error of Observation Model in Dynamic Vehicle Navigation" 제어·로봇·시스템학회 14 (14): 514-523, 2016
10 W. Wang, "Quadratic extended Kalman ?lter approach for GPS/INS integration" 10 (10): 709-713, 2006
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18 L. B. Chang, "Huberbased novel robust unscented Kalman filter" 6 (6): 502-509, 2012
19 D. J. Jwo, "Fuzzy Adaptive Unscented Kalman Filter for Ultra-Tight GPS/INS Integration" 229-235, 2010
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31 S. Y. Cho, "Adaptive IIR/FIR fusion filter and its application to the INS/GPS integrated system" 44 (44): 2040-2047, 2008
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