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Volumn 1, Issue , 2002, Pages 434-439

Localization for mobile robot teams using maximum likelihood estimation

Author keywords

[No Author keywords available]

Indexed keywords

COLLISION AVOIDANCE; IMAGE SENSORS; MAXIMUM LIKELIHOOD ESTIMATION; MOBILE ROBOTS; MOTION CONTROL; OPTIMIZATION; PARAMETER ESTIMATION; RANGE FINDERS;

EID: 0036453115     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (196)

References (17)
  • 7
    • 0003705371 scopus 로고    scopus 로고
    • Localization for mobile robot teams: A maximum likelihood approach
    • Technical Report IRIS-01-407, Institute for Robotics and Intelligent Systems Technical Report, University of Southern California
    • A. Howard, M. J. Matarić, and G. S. Sukhatme. Localization for mobile robot teams: A maximum likelihood approach. Technical Report IRIS-01-407, Institute for Robotics and Intelligent Systems Technical Report, University of Southern California, 2001.
    • (2001)
    • Howard, A.1    Matarić, M.J.2    Sukhatme, G.S.3
  • 9
    • 0033882920 scopus 로고    scopus 로고
    • An experimental study of a cooperative positioning system
    • R. Kurazume and S. Hirose. An experimental study of a cooperative positioning system. Autonomous Robots, 8(1):43-52, 2000.
    • (2000) Autonomous Robots , vol.8 , Issue.1 , pp. 43-52
    • Kurazume, R.1    Hirose, S.2
  • 11
    • 0031249780 scopus 로고    scopus 로고
    • Globally consistent range scan alignment for environment mapping
    • F. Lu and E. Milios. Globally consistent range scan alignment for environment mapping. Autonomous Robots, 4:333-349, 1997.
    • (1997) Autonomous Robots , vol.4 , pp. 333-349
    • Lu, F.1    Milios, E.2
  • 15
    • 0035327477 scopus 로고    scopus 로고
    • A probabilistic online mapping algorithm for teams of mobile robots
    • S. Thrun. A probabilistic online mapping algorithm for teams of mobile robots. International Journal of Robotics Research, 20(5):335-363, 2001.
    • (2001) International Journal of Robotics Research , vol.20 , Issue.5 , pp. 335-363
    • Thrun, S.1
  • 16
    • 0032044899 scopus 로고    scopus 로고
    • A probabilistic approach to concurrent mapping and localisation for mobile robots
    • Joint issue with Autonomous Robots
    • S. Thrun, D. Fox, and W. Burgard. A probabilistic approach to concurrent mapping and localisation for mobile robots. Machine Learning, 31(5):29-55, 1998. Joint issue with Autonomous Robots.
    • (1998) Machine Learning , vol.31 , Issue.5 , pp. 29-55
    • Thrun, S.1    Fox, D.2    Burgard, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.