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Volumn , Issue , 2007, Pages 636-643

Power-SLAM: A linear-complexity, consistent algorithm for SLAM

Author keywords

[No Author keywords available]

Indexed keywords

INTERNATIONAL CONFERENCES; LINEAR-COMPLEXITY;

EID: 51349153381     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399179     Document Type: Conference Paper
Times cited : (12)

References (22)
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  • 2
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  • 4
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    • A computationally efficient solution to the simultaneous localisation and map building (slam) problem
    • San Francisco, Apr
    • G. Dissanayake, H. Durrant-Whyte, and T. Bailey. A computationally efficient solution to the simultaneous localisation and map building (slam) problem. In Proc. IEEE Int. Conf. on Robotics and Automation. pages 1009-1014, San Francisco, Apr. 2000.
    • (2000) Proc. IEEE Int. Conf. on Robotics and Automation , pp. 1009-1014
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  • 6
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    • Towards deployment of large-scale simultaneous localization and map building (slam) systems
    • Technical report, Australian Centre for Field Robotics, University of Sydney
    • H. Durrant-Whyte, G. Dissanayake, and P.W. Gibbens. Towards deployment of large-scale simultaneous localization and map building (slam) systems. Technical report, Australian Centre for Field Robotics, University of Sydney, 2000.
    • (2000)
    • Durrant-Whyte, H.1    Dissanayake, G.2    Gibbens, P.W.3
  • 7
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    • Treemap: An o(log n) algorithm for indoor simultaneous localization and mapping
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    • U. Frese. Treemap: An o(log n) algorithm for indoor simultaneous localization and mapping. Autonomous Robots, 21(2): 103-122, September 2006.
    • (2006) Autonomous Robots , vol.21 , Issue.2 , pp. 103-122
    • Frese, U.1
  • 8
    • 18144378418 scopus 로고    scopus 로고
    • A multilevel relaxation algorithm for simultaneous localization and mapping
    • Apr
    • U. Frese, P. Larsson, and T. Duckett. A multilevel relaxation algorithm for simultaneous localization and mapping. IEEE Transactions on Robotics, 21(2): 196-207, Apr. 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.