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Volumn 2005, Issue , 2005, Pages 342-347

SLAM using incremental probabilistic PCA and dimensionality reduction

Author keywords

Clustering; Mapping; Mobile robotics; PCA

Indexed keywords

CLUSTERING; MOBILE ROBOTICS; PCA;

EID: 33846153605     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2005.1570142     Document Type: Conference Paper
Times cited : (38)

References (17)
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  • 2
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    • An atlas framework for scalable mapping
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    • M. Bosse, P. Newman, J. Leonard, M. Soika, W. Feiten, and S. Teller. An atlas framework for scalable mapping. In ICRA, volume 2, 1899-1906, September 2003.
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    • Bosse, M.1    Newman, P.2    Leonard, J.3    Soika, M.4    Feiten, W.5    Teller, S.6
  • 7
    • 0028074043 scopus 로고
    • Precise positioning using model-based maps
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    • (1994) ICRA , pp. 1615-1621
    • MacKenzie, P.1    Dudek, G.2
  • 8
    • 0042752154 scopus 로고    scopus 로고
    • FastSLAM: A factored solution to the simultaneous localization and mapping problem
    • M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit. FastSLAM: A factored solution to the simultaneous localization and mapping problem. In AAAI, 2002.
    • (2002) AAAI
    • Montemerlo, M.1    Thrun, S.2    Koller, D.3    Wegbreit, B.4
  • 9
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    • X-means: Extending k-means with efficient estimation of the number of clusters
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    • Pelleg, D.1    Moore, A.2
  • 10
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    • Effective exploration strategies for the construction of visual maps
    • Robert Sim and Gregory Dudek. Effective exploration strategies for the construction of visual maps. In IROS, 2003.
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    • Sim, R.1    Dudek, G.2
  • 11
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    • Bayesian statistics without tears: A sampling-resampling perspective
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    • Smith, A.1    Gelfand, A.2
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  • 17
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    • Candid covariance-free incremental principle component analysis
    • J. Weng, Y. Zhang, and W. Hwang. Candid covariance-free incremental principle component analysis. PAMI, 25(8): 1034-1040, 2003.
    • (2003) PAMI , vol.25 , Issue.8 , pp. 1034-1040
    • Weng, J.1    Zhang, Y.2    Hwang, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.