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Volumn , Issue , 2005, Pages

Decentralised data fusion with particles

Author keywords

[No Author keywords available]

Indexed keywords

BANDWIDTH REQUIREMENT; DECENTRALISED; FUSION METHODS; GAUSSIAN MIXTURE MODEL; PARTICLE FILTER; SAMPLE STATISTICS;

EID: 84855570039     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (24)
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    • Nonlinear bayesian estimation using Gaussian sum approximations
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    • (1972) IEEE Transactions on Automatic Control , vol.17 , Issue.4 , pp. 439-448
    • Alspach, D.L.1    Sorenson, H.W.2
  • 2
    • 0036475447 scopus 로고    scopus 로고
    • A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    • DOI 10.1109/78.978374, PII S1053587X0200569X
    • [Arulampalam et al., 2002] M.S. Arulampalam, S. Maskell, N. Gordon and T. Clapp. Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking. IEEE Transactions on Signal Processing, 50(2):174-188, 2002. (Pubitemid 34291500)
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 11
    • 0027580559 scopus 로고    scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • [Gordon et al., 1993] N.J. Gordon, D.J. Salmond and A.F.M. Smith. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proceedings-F, 140(2):107-113, 2004.
    • (2004) IEE Proceedings-F , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 13
    • 33751009895 scopus 로고    scopus 로고
    • Information theory
    • http://www.inference.phy.cam.ac.uk/mackay/itila/
    • [MacKay, 2003] D. MacKay. Information Theory, Inference and Learning Algorithms.http://www.inference.phy.cam.ac.uk/mackay/itila/,2003.
    • (2003) Inference and Learning Algorithms
    • MacKay, D.1
  • 15
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • September
    • [Parzen, 1962] E. Parzen. On estimation of a probability density function and mode. The Annals of Mathematical Statistics, 33(3):1065-1076, September, 1962.
    • (1962) The Annals of Mathematical Statistics , vol.33 , Issue.3 , pp. 1065-1076
    • Parzen, E.1
  • 19
    • 1942482621 scopus 로고    scopus 로고
    • Locating moving entities in dynamic indoor environments with teams of mobile robots
    • Melbourne, Australia
    • [Rosencrantz et al., 2003a] M. Rosencrantz, G. Gordon and S. Thrun. Locating Moving Entities in Dynamic Indoor Environments with Teams of Mobile Robots. Proceedings of Autonomous Agents and Multi-Agent Systems, Melbourne, Australia, 2003.
    • (2003) Proceedings of Autonomous Agents and Multi-Agent Systems
    • Rosencrantz, M.1    Gordon, G.2    Thrun, S.3
  • 20
    • 0024902558 scopus 로고
    • Mixture reduction algorithms for uncertain tracking
    • [Salmond et al., 1989] D.J. Salmond, D.P. Atherton and J.A. Bather. Mixture reduction algorithms for uncertain tracking. IFAC Proceedings Series, 2(8):775-780, 1989. (Pubitemid 20672251)
    • (1989) IFAC Proceedings Series , vol.2 , Issue.8 , pp. 775-780
    • Salmond, D.J.1    Atherton, D.P.2    Bather, J.A.3
  • 21
    • 33744915783 scopus 로고    scopus 로고
    • Distributed particle filter with GMM approximation for multiple targets localization and tracking in wireless sensor network
    • DOI 10.1109/IPSN.2005.1440923, 1440923, 2005 Fourth International Symposium on Information Processing in Sensor Networks, IPSN 2005
    • [Sheng et al., 2005] X. Sheng, Y.H. Hu and P. Ramanathan. Distributed particle filter with GMM approximation for multiple targets localization and tracking in wireless sensor network. Fourth International Symposium on Information Processing in Sensor Networks, (IPSN), pages 181-188, 2005. (Pubitemid 43841231)
    • (2005) 2005 4th International Symposium on Information Processing in Sensor Networks, IPSN 2005 , vol.2005 , pp. 181-188
    • Sheng, X.1    Hu, Y.-H.2    Ramanathan, P.3
  • 22
    • 0000007140 scopus 로고
    • Recursive bayesian estimation using Gaussian sums
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.