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Volumn 5, Issue , 2010, Pages

Mobile robot global localization using Imperialist Competitive Algorithm

Author keywords

Evolutionary algorithms; Global localization; Imperialist Competitive Algorithm; Mobile robots; Position tracking

Indexed keywords


EID: 78149315023     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACTE.2010.5579468     Document Type: Conference Paper
Times cited : (5)

References (12)
  • 5
    • 0033692389 scopus 로고    scopus 로고
    • Using multiple Gaussian hypotheses to represent probability distributions for mobile robot localization
    • San Francisco, CA, USA
    • D.J. Austin, PJensfelt, P, Using multiple Gaussian hypotheses to represent probability distributions for mobile robot localization. Proc. Of the Int. Conference on Robotics and Automation ICRA-00, San Francisco, CA, USA, pp 1036-1041, 2000.
    • (2000) Proc. of the Int. Conference on Robotics and Automation ICRA-00 , pp. 1036-1041
    • Austin, D.J.1    Jensfelt, P.2
  • 7
    • 0036060546 scopus 로고    scopus 로고
    • Feature-based multihypothesis localization and tracking for mobile robots using geometric constraints
    • Washington D. C., USA
    • K.Arras, lA.Castellanos, RSiegwart, Feature-based multihypothesis localization and tracking for mobile robots using geometric constraints. Proc. Of the Int. Conference on Robotics and Automation ICRA-02, Washington D. c., USA, pp 1371-1377, 2002.
    • (2002) Proc. of the Int. Conference on Robotics and Automation ICRA-02 , pp. 1371-1377
    • Arras, K.1    Castellanos, J.A.2    Siegwart, R.3
  • 11
    • 78149290542 scopus 로고    scopus 로고
    • Imperialist competitive algorithm An algorithm for optimization inspired by imperialistic competition
    • E.Atashpaz-Gargari, C.Lucas, Imperialist competitive algorithm An algorithm for optimization inspired by imperialistic competition. IEEE Congress on Evolutionary Computation (CEC), 2007.
    • (2007) IEEE Congress on Evolutionary Computation (CEC)
    • Atashpaz-Gargari, E.1    Lucas, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.