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Volumn , Issue , 2002, Pages 581-586

Robust global localization using clustered particle filtering

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; MONTE CARLO METHODS; PROBABILITY; PROBLEM SOLVING; SENSOR DATA FUSION;

EID: 0036923215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (70)

References (13)
  • 1
    • 0004280826 scopus 로고    scopus 로고
    • School of Computer Science, Carnegie Mellon University. Pittsburgh, PA
    • Thrun, S. 2000. Probabilistic Algorithms in Robotics. School of Computer Science, Carnegie Mellon University. Pittsburgh, PA.
    • (2000) Probabilistic Algorithms in Robotics
    • Thrun, S.1
  • 4
    • 0001819260 scopus 로고    scopus 로고
    • Active global localisation for a mobile robot using multiple hypothesis tracking
    • (IJCAI'99). Stockholm, Sweden
    • Jensfelt, P., and Kristensen, S. 1999. Active Global Localisation for a Mobile Robot Using Multiple Hypothesis Tracking. Workshop on Reasoning with Uncertainty in Robot Navigation. (IJCAI'99). Stockholm, Sweden.
    • (1999) Workshop on Reasoning With Uncertainty in Robot Navigation
    • Jensfelt, P.1    Kristensen, S.2
  • 5
    • 0033692389 scopus 로고    scopus 로고
    • Using multiple gaussian hypotheses to represent probability distributions for mobile robot localization
    • San Francisco, CA
    • Austin, D., and Jensfelt, P. 2000. Using Multiple Gaussian Hypotheses to Represent Probability Distributions for Mobile Robot Localization. In Proceedings of IEEE International Conference on Robotics and Automation, San Francisco, CA.
    • (2000) Proceedings of IEEE International Conference on Robotics and Automation
    • Austin, D.1    Jensfelt, P.2
  • 7
    • 0003838908 scopus 로고    scopus 로고
    • Technical Report CUED/F-INFENG/TR 310, Cambridge University, Department of Engineering, Cambridge, UK
    • Doucet, A. 1998. On Sequential simulation-based methods for Bayesian filtering. Technical Report CUED/F-INFENG/TR 310, Cambridge University, Department of Engineering, Cambridge, UK.
    • (1998) On Sequential Simulation-Based Methods for Bayesian Filtering
    • Doucet, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.