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Volumn , Issue , 2001, Pages 1411-1416

An hybrid approach to solve the global localization problem for indoor mobile robots considering sensor's perceptual limitations

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN CLASSIFICATION; GLOBAL LOCALIZATION; GLOBAL LOCALIZATION PROBLEMS; INDOOR MOBILE ROBOTS; LOCALIZATION PROBLEMS; MARKOV LOCALIZATIONS; PRINCIPAL COMPONENTS; ROTATION INVARIANT FEATURES;

EID: 0012296110     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 3
    • 0002607026 scopus 로고    scopus 로고
    • Bayesian classification (autoclass): Theory and results
    • U.-M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, AAAI Press/MIT Press
    • P. Cheeseman and J Stutz. Bayesian classification (autoclass): Theory and results. In U.-M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining. AAAI Press/MIT Press, 1996.
    • (1996) Advances in Knowledge Discovery and Data Mining
    • Cheeseman, P.1    Stutz, J.2
  • 7
    • 0002511132 scopus 로고
    • The robot localization problem
    • K. Goldberg, D. Halperin, and J. C. Latombe, editors, A. K. Peters
    • L. Guibas, R. Motwani, and P. Raghavan. The robot localization problem. In K. Goldberg, D. Halperin, and J. C. Latombe, editors, Algorithmic Foundations of Robotics. A. K. Peters, 1995.
    • (1995) Algorithmic Foundations of Robotics
    • Guibas, L.1    Motwani, R.2    Raghavan, P.3
  • 9
    • 78650084058 scopus 로고    scopus 로고
    • A robust exploration and navigation approach for indoor mobile robots merging local and global strategies
    • M. C. Monard and J.S. Sichman, editors, Advances in Artificial Intelligence, Springer
    • L. Romero, E. Morales, and E. Sucar. A robust exploration and navigation approach for indoor mobile robots merging local and global strategies. In M. C. Monard and J.S. Sichman, editors, Advances in Artificial Intelligence, LNAI 1952. Springer, 2000.
    • (2000) LNAI , vol.1952
    • Romero, L.1    Morales, E.2    Sucar, E.3
  • 10
    • 0002539849 scopus 로고    scopus 로고
    • Map learning and high-speed navigation in rhino
    • D. Kortenkamp, R. P. Bonasso, and R Murphy, editors, AAAI Press/The MIT Press
    • S. Thrun, A. Bucken, W. Burgar, et al. Map learning and high-speed navigation in rhino. In D. Kortenkamp, R. P. Bonasso, and R Murphy, editors, Artificial Intelligence and Mobile Robots. AAAI Press/The MIT Press, 1998.
    • (1998) Artificial Intelligence and Mobile Robots
    • Thrun, S.1    Bucken, A.2    Burgar, W.3
  • 11
    • 0031998630 scopus 로고    scopus 로고
    • Learning metric-topological maps for indoor mobile robot navigation
    • PII S0004370297000787
    • S. Thrun. Learning maps for indoor mobile robot navigation. Artificial Intelligence, 99(1):21-71, 1998. (Pubitemid 128378368)
    • (1998) Artificial Intelligence , vol.99 , Issue.1 , pp. 21-71
    • Thrun, S.1
  • 12
    • 85052906848 scopus 로고
    • Keeping track of position and orientation of moving indoor systems by correlation of range-finder scans
    • G. Weib, C. Wetzler, and E. Puttkamer. Keeping track of position and orientation of moving indoor systems by correlation of range-finder scans. In Intelligent Robots and Systems, 1994.
    • (1994) Intelligent Robots and Systems
    • Weib, G.1    Wetzler, C.2    Puttkamer, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.