Applying Quaternion-based Unscented Particle Filter on INS/GPS with Field Experiments
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[1] Xiaoji Niu,et al. Performance Comparison of the Extended and the Unscented Kalman Filter for Integrated GPS and MEMS-Based Inertial Systems , 2005 .
[2] Rui Hirokawa,et al. A Low-Cost Tightly Coupled GPS/INS for Small UAVs Augmented with Multiple GPS Antennas , 2009 .
[3] Eun-Hwan Shin,et al. Unscented Kalman Filter and Attitude Errors of Low-Cost Inertial Navigation Systems , 2007 .
[4] Richard A. Brown,et al. Introduction to random signals and applied kalman filtering (3rd ed , 2012 .
[5] Chris Rizos,et al. Sigma-Point Kalman Filtering for Tightly Coupled GPS/INS Integration , 2008 .
[6] Jan Wendel,et al. A Performance Comparison of Tightly Coupled GPS/INS Navigation Systems based on Extended and Sigma Point Kalman Filters , 2005 .
[7] Hugh F. Durrant-Whyte,et al. A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..
[8] Fredrik Gustafsson,et al. Particle filters for positioning, navigation, and tracking , 2002, IEEE Trans. Signal Process..
[9] Otmar Loffeld,et al. Sequential Processing of Integrated Measurements in Tightly-coupled INS/GPS Integrated Navigation System , 2010 .
[10] Jeffrey K. Uhlmann,et al. Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.
[11] Yudan Yi,et al. On improving the accuracy and reliability of GPS/INS-based direct sensor georeferencing , 2007 .
[12] Otmar Loffeld,et al. Development and Investigation of Real-time Hybrid Navigation System Using a DCM Based Integration Method , 2010 .
[13] Dorota A. Grejner-Brzezinska,et al. Tightly-coupled GPS/INS Integration Using Unscented Kalman Filter and Particle Filter , 2006 .
[14] Hugh F. Durrant-Whyte,et al. A high integrity IMU/GPS navigation loop for autonomous land vehicle applications , 1999, IEEE Trans. Robotics Autom..
[15] Peter S. Maybeck,et al. Stochastic Models, Estimation And Control , 2012 .
[16] Dah-Jing Jwo,et al. Unscented Kalman filter with nonlinear dynamic process modeling for GPS navigation , 2008 .
[17] Jay A. Farrell,et al. Aided Navigation: GPS with High Rate Sensors , 2008 .
[18] Otmar Loffeld,et al. Tightly-coupled INS/GPS using Quaternion-based Unscented Kalman filter , 2011 .
[19] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[20] Branko Ristic,et al. Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .
[21] Priyanka Aggarwal. Hybrid Extended Particle Filter (HEPF) for INS/GPS Integrated System , 2008 .
[22] Rudolph van der Merwe,et al. Sigma-Point Kalman Filters for Integrated Navigation , 2004 .
[23] Wei Gao,et al. Sigma-Point Kalman Filtering for tightly-coupled GPS/INS , 2008, 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop.
[24] Petar M. Djuric,et al. Gaussian particle filtering , 2003, IEEE Trans. Signal Process..
[25] John L. Crassidis. Sigma-point Kalman filtering for integrated GPS and inertial navigation , 2006 .
[26] E. J. Lefferts,et al. Kalman Filtering for Spacecraft Attitude Estimation , 1982 .
[27] Nando de Freitas,et al. The Unscented Particle Filter , 2000, NIPS.
[28] January,et al. A Tutorial on Bayesian Estimation and Tracking Techniques Applicable to Nonlinear and Non-Gaussian Processes , 2005 .
[29] Eun-Hwan Shin. A Quaternion-Based Unscented Kalman Filter for the Integration of GPS and MEMS INS , 2004 .
[30] Jeffrey K. Uhlmann,et al. A consistent, debiased method for converting between polar and Cartesian coordinate systems , 1997 .
[31] Chris Rizos,et al. Comparison of the Extended and Sigma-point Kalman Filters on Inertial Sensor Bias Estimation Through Tight Integration of GPS and INS , 2006 .
[32] I. Bar-Itzhack,et al. Attitude Determination from Vector Observations: Quaternion Estimation , 1985, IEEE Transactions on Aerospace and Electronic Systems.
[33] Angelo M. Sabatini,et al. Quaternion-based extended Kalman filter for determining orientation by inertial and magnetic sensing , 2006, IEEE Transactions on Biomedical Engineering.