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Volumn , Issue , 2009, Pages

A biological inspired improvement strategy for particle filters

Author keywords

[No Author keywords available]

Indexed keywords

ANT-COLONY OPTIMIZATION; DENSITY FUNCTIONS; ESTIMATION RESULTS; GENERIC PARTICLE FILTERS; MODEL ESTIMATION; PARTICLE FILTER; SAMPLE SIZES;

EID: 67650340139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2009.4939539     Document Type: Conference Paper
Times cited : (6)

References (12)
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  • 2
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    • Schmidt, S.F.1
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    • 0036504051 scopus 로고    scopus 로고
    • D. Crisan and A. Doucet, A survey of convergence results on particle filtering methods for practitioners. IEEE Transactions on Signal Processing, IEEE T Signal Proces., 50(3), pp. 736-746, 2002
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  • 5
    • 4644297947 scopus 로고    scopus 로고
    • Improved particle filters for ballistic target tracking
    • M.G.S. Bruno and A. Pavlov, "Improved particle filters for ballistic target tracking." IEEE Proc-Acoust. Speech, vol. 2, pp. 705-708, 2004
    • (2004) IEEE Proc-Acoust. Speech , vol.2 , pp. 705-708
    • Bruno, M.G.S.1    Pavlov, A.2
  • 6
    • 0001460136 scopus 로고    scopus 로고
    • On sequential Monte Carlo sampling methods for Bayesian filtering
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    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 7
    • 0032136153 scopus 로고    scopus 로고
    • Condensation-conditional density propagation for visual tracking
    • M. Isard and A. Blake, "Condensation-conditional density propagation for visual tracking." Int. J. Comput. Vision, vol. 29(1), pp. 5-28, 1998
    • (1998) Int. J. Comput. Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 8
    • 34250646541 scopus 로고    scopus 로고
    • A real-time object tracking system using a particle filter
    • J. U. Cho, et al, "A real-time object tracking system using a particle filter." IEEE Proc-Intell. Robot Syst., pp. 2822-2827, 2007.
    • (2007) IEEE Proc-Intell. Robot Syst , pp. 2822-2827
    • Cho, J.U.1
  • 9
    • 27844564598 scopus 로고    scopus 로고
    • Recovering particle diversity in a Rao-Blackwellized Particle Filter for SLAM after actively closing loops
    • C. Stachniss, G. Grisetti and W. Burgard, "Recovering particle diversity in a Rao-Blackwellized Particle Filter for SLAM after actively closing loops." IEEE Proc-Robotic Autom.., pp. 18-22, 2005.
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    • A Particle Swarm Optimized Particle Filter for Nonlinear System State Estimation
    • G. Tong, Z. Fang, X. Xu. "A Particle Swarm Optimized Particle Filter for Nonlinear System State Estimation." IEEE Proc-Evol. Comput., pp. 438-442, 2006
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  • 11
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    • A review on the ant colony optimization metaheuristic: Basis, models and new trends
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.