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Volumn , Issue , 2007, Pages 317-322

An information theoretic rule for sample size adaptation in particle filtering

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; INFORMATION THEORY; NONLINEAR FILTERING;

EID: 48149090668     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIAP.2007.4362798     Document Type: Conference Paper
Times cited : (25)

References (15)
  • 1
    • 0036475447 scopus 로고    scopus 로고
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    • (2002) IEEE Trans. Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, S.1    Maskell, A.2    Gordon, N.3    Clapp, T.4
  • 4
    • 0344445520 scopus 로고    scopus 로고
    • Adapting the sample size in particle filters through KLD-sampling. lnt.l
    • D. Fox. Adapting the sample size in particle filters through KLD-sampling. lnt.l Journal of Robotics Research, 22(12):985-1004, 2003.
    • (2003) Journal of Robotics Research , vol.22 , Issue.12 , pp. 985-1004
    • Fox, D.1
  • 5
  • 7
    • 0035485733 scopus 로고    scopus 로고
    • Active global localisation for a mobile robot using multiple hypothesis tracking
    • P. Jensfelt and S. Kristensen. Active global localisation for a mobile robot using multiple hypothesis tracking. IEEE Trans. Robotics and Automation, 17(5):748-760, 2001.
    • (2001) IEEE Trans. Robotics and Automation , vol.17 , Issue.5 , pp. 748-760
    • Jensfelt, P.1    Kristensen, S.2
  • 8
    • 28044451749 scopus 로고    scopus 로고
    • MCMC-based particle filtering for tracking a variable number of interacting targets
    • Z. Khan, T. Balch, and F. Dellaert. MCMC-based particle filtering for tracking a variable number of interacting targets. IEEE Trans. Pattern Analysis and Machine Intelligence, 27(11): 1805-1819, 2005.
    • (2005) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.27 , Issue.11 , pp. 1805-1819
    • Khan, Z.1    Balch, T.2    Dellaert, F.3
  • 9
    • 0003987291 scopus 로고    scopus 로고
    • Using learning for approximation in stochastic processes
    • D. Koller and R. Fratkina. Using learning for approximation in stochastic processes. In Conf. Machine Learning, 1998.
    • (1998) Conf. Machine Learning
    • Koller, D.1    Fratkina, R.2
  • 11
    • 0033876216 scopus 로고    scopus 로고
    • Probabilistic self-localization for mobile robots
    • C. Olsen. Probabilistic self-localization for mobile robots. IEEE Trans. Robotics and Automation, 16(1):55-66, 2000.
    • (2000) IEEE Trans. Robotics and Automation , vol.16 , Issue.1 , pp. 55-66
    • Olsen, C.1
  • 14
    • 27544460134 scopus 로고    scopus 로고
    • Sequential Monte Carlo methods for Bayesian multi-target filtering with Random Finite Sets
    • B. Vo, S. Singh, and A. Doucet. Sequential Monte Carlo methods for Bayesian multi-target filtering with Random Finite Sets. IEEE Trans. Aerospace and Electronic Systems, 41(4), 2005.
    • (2005) IEEE Trans. Aerospace and Electronic Systems , vol.41 , Issue.4
    • Vo, B.1    Singh, S.2    Doucet, A.3
  • 15
    • 48149095975 scopus 로고    scopus 로고
    • SmarTrack, a SmarT people Tracker. Patent pending. Online: http://tev.itc.it/TeV/Technologies/SmarTrack.html
    • SmarTrack - a SmarT people Tracker. Patent pending. Online: http://tev.itc.it/TeV/Technologies/SmarTrack.html.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.