An Adaptive Unscented Particle Filter for Tracking Ground Maneuvering Target
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[1] Y. Bar-Shalom,et al. IMM estimator versus optimal estimator for hybrid systems , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[2] I. Kadar,et al. Tracking ground targets with road constraints using an IMM estimator , 1998, 1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339).
[3] K. Kastella,et al. Multiple model nonlinear filtering for low signal ground target applications , 2005, IEEE Transactions on Aerospace and Electronic Systems.
[4] Dieter Fox,et al. Adapting the Sample Size in Particle Filters Through KLD-Sampling , 2003, Int. J. Robotics Res..
[5] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[6] Jeffrey K. Uhlmann,et al. New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.
[7] Chee-Yee Chong,et al. Ground target tracking-a historical perspective , 2000, 2000 IEEE Aerospace Conference. Proceedings (Cat. No.00TH8484).
[8] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[9] Dieter Fox,et al. KLD-Sampling: Adaptive Particle Filters , 2001, NIPS.
[10] F. A. Seiler,et al. Numerical Recipes in C: The Art of Scientific Computing , 1989 .
[11] Lang Hong,et al. A comparison of nonlinear filtering approaches with an application to ground target tracking , 2005, Signal Process..
[12] M. Pitt,et al. Filtering via Simulation: Auxiliary Particle Filters , 1999 .
[13] Norikazu Ikoma,et al. Maneuvering target tracking by using particle filter , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).
[14] 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..
[15] Y. Bar-Shalom,et al. Multiple-model estimation with variable structure , 1996, IEEE Trans. Autom. Control..
[16] Rudolph van der Merwe,et al. Sigma-point kalman filters for probabilistic inference in dynamic state-space models , 2004 .
[17] Christian Musso,et al. Improving Regularised Particle Filters , 2001, Sequential Monte Carlo Methods in Practice.
[18] William H. Press,et al. The Art of Scientific Computing Second Edition , 1998 .
[19] R. Singer. Estimating Optimal Tracking Filter Performance for Manned Maneuvering Targets , 1970, IEEE Transactions on Aerospace and Electronic Systems.
[20] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[21] Nando de Freitas,et al. The Unscented Particle Filter , 2000, NIPS.