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Volumn , Issue , 2013, Pages 1103-1110

PGF 42: Progressive Gaussian filtering with a twist

Author keywords

Dirac mixture approximation; Gaussian filter; homotopy; nonlinear Bayesian state estimation; nonlinear filtering; progressive Bayesian estimation; recursive estimation

Indexed keywords

BAYESIAN ESTIMATIONS; BAYESIAN STATE ESTIMATION; DIRAC MIXTURE APPROXIMATION; GAUSSIAN FILTERS; HOMOTOPIES; RECURSIVE ESTIMATION;

EID: 84890835028     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (26)
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    • Julier, S.1    Uhlmann, J.2    Durrant-Whyte, H.F.3
  • 6
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    • Gaussian filter based on deterministic sampling for high quality nonlinear estimation
    • Seoul, Republic of Korea, Jul
    • M. F. Huber and U. D. Hanebeck, "Gaussian Filter based on Deterministic Sampling for High Quality Nonlinear Estimation," in Proceedings of the 17th IFAC World Congress (IFAC 2008), vol. 17, no. 2, Seoul, Republic of Korea, Jul. 2008.
    • (2008) Proceedings of the 17th IFAC World Congress (IFAC 2008) , vol.17 , Issue.2
    • Huber, M.F.1    Hanebeck, U.D.2
  • 10
    • 0034186948 scopus 로고    scopus 로고
    • Gaussian filters for nonlinear filtering problems
    • May
    • K. Ito and K. Xiong, "Gaussian filters for nonlinear filtering problems, IEEE Transactions on Automatic Control, vol. 45, no. 5, pp. 910-927 May 2000.
    • (2000) IEEE Transactions on Automatic Control , vol.45 , Issue.5 , pp. 910-927
    • Ito, K.1    Xiong, K.2
  • 11
    • 84861754178 scopus 로고    scopus 로고
    • Recursive update filtering for nonlinear estimation
    • Jun
    • R. Zanetti, "Recursive update filtering for nonlinear estimation," IEEE Transactions on Automatic Control, vol. 57, no. 6, pp. 1481-1490, Jun. 2012.
    • (2012) IEEE Transactions on Automatic Control , vol.57 , Issue.6 , pp. 1481-1490
    • Zanetti, R.1
  • 15
    • 0042827602 scopus 로고    scopus 로고
    • Progressive bayes: A new framework for nonlinear state estimation
    • Orlando, Florida, USA, May
    • U. D. Hanebeck, K. Briechle, and A. Rauh, "Progressive Bayes: A New Framework for Nonlinear State Estimation," in Proceedings of SPIE AeroSense Symposium, vol. 5099, Orlando, Florida, USA, May 2003, pp. 256-267.
    • (2003) Proceedings of SPIE AeroSense Symposium , vol.5099 , pp. 256-267
    • Hanebeck, U.D.1    Briechle, K.2    Rauh, A.3
  • 16
    • 1542289853 scopus 로고    scopus 로고
    • Progressive bayesian estimation for nonlinear discrete-time systems: The filter step for scalar measurements and multidimensional states
    • Maui, Hawaii USA, Dec
    • U. D. Hanebeck and O. Feiermann, "Progressive Bayesian Estimation for Nonlinear Discrete-Time Systems: The Filter Step for Scalar Measurements and Multidimensional States," in Proceedings of the 2003 IEEE Conference on Decision and Control (CDC 2003), Maui, Hawaii USA, Dec. 2003, pp. 5366-5371.
    • (2003) Proceedings of the 2003 IEEE Conference on Decision and Control (CDC 2003) , pp. 5366-5371
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  • 18
    • 0038681942 scopus 로고    scopus 로고
    • Calculating moments of exponential densities using differential algebraic equations
    • May
    • A. Rauh and U. D. Hanebeck, "Calculating Moments of Exponential Densities Using Differential Algebraic Equations," IEEE Signal Processing Letters, vol. 10, no. 5, pp. 144-147, May 2003.
    • (2003) IEEE Signal Processing Letters , vol.10 , Issue.5 , pp. 144-147
    • Rauh, A.1    Hanebeck, U.D.2
  • 20
    • 69849093380 scopus 로고    scopus 로고
    • Nonlinear filters with particle flow induced by log-homotopy
    • May
    • F. Daum and J. Huang, "Nonlinear filters with particle flow induced by log-homotopy," Proceedings of SPIE, vol. 7336, no. 1, pp. 733 603-733 603-12, May 2009.
    • (2009) Proceedings of SPIE , vol.7336 , Issue.1 , pp. 733603-73360312
    • Daum, F.1    Huang, J.2
  • 23
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    • Greedy algorithms for dirac mixture approximation of arbitrary probability density functions
    • New Orleans, Louisiana, USA, Dec
    • U. D. Hanebeck and O. C. Schrempf, "Greedy Algorithms for Dirac Mixture Approximation of Arbitrary Probability Density Functions," in Proceedings of the 2007 IEEE Conference on Decision and Control (CDC 2007), New Orleans, Louisiana, USA, Dec. 2007, pp. 3065-3071.
    • (2007) Proceedings of the 2007 IEEE Conference on Decision and Control (CDC 2007) , pp. 3065-3071
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  • 24
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    • Recursive prediction of stochastic nonlinear systems based on optimal dirac mixture approximations
    • New YorkNew York, USA, Jul
    • O. C. Schrempf and U. D. Hanebeck, "Recursive Prediction of Stochastic Nonlinear Systems Based on Optimal Dirac Mixture Approximations, in Proceedings of the 2007 American Control Conference (ACC 2007) New York, New York, USA, Jul. 2007, pp. 1768-1774.
    • (2007) Proceedings of the 2007 American Control Conference (ACC 2007) , pp. 1768-1774
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.