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Volumn , Issue , 2012, Pages

Scale-preserving long-term visual odometry for indoor navigation

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENCE TIME; GEOMETRIC PROPERTIES; IN-DOOR NAVIGATIONS; LOCAL MAP; MONOCULAR SLAM; ODOMETRY; POINT CLOUD; RANDOM PROJECTIONS; REALISTIC SCENARIO; REINITIALIZATION; ROBUST METHODS; SCALE ESTIMATION; SCALE FACTOR; TRACKING FAILURE; VISUAL DATA; VISUAL ODOMETRY; VISUAL SLAM; VISUAL TRACKING;

EID: 84874234385     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPIN.2012.6418934     Document Type: Conference Paper
Times cited : (28)

References (29)
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  • 8
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    • Cho, S.1    Park, C.2
  • 13
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    • Real-time simultaneous localisation and mapping with a single camera
    • A. J. Davison, "Real-time simultaneous localisation and mapping with a single camera," in Int'l conference on Computer Vision (ICCV), 2003, pp. 1403-1410
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    • Davison, A.J.1
  • 15
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    • An introduction to inertial and visual sensing
    • P. Corke, J. Lobo, and J. Dias, "An introduction to inertial and visual sensing," The Int'l Journal of Robotics Research, vol. 26, no. 6, pp. 519-535, 2007
    • (2007) The Int'l Journal of Robotics Research , vol.26 , Issue.6 , pp. 519-535
    • Corke, P.1    Lobo, J.2    Dias, J.3
  • 17
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    • Visual-inertial sensor fusion: Localization, mapping and sensor-to-sensor self-calibration
    • J. Kelly and G. S. Sukhatme, "Visual-inertial sensor fusion: Localization, mapping and sensor-to-sensor self-calibration," The Int'l Journal of Robotics Research, vol. 30, no. 1, pp. 56-79, 2011
    • (2011) The Int'l Journal of Robotics Research , vol.30 , Issue.1 , pp. 56-79
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  • 22
    • 3042622340 scopus 로고    scopus 로고
    • An efficient solution to the five-point relative pose problem
    • Jun
    • D. Nistér, "An efficient solution to the five-point relative pose problem," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp. 756-777, Jun. 2004
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    • Nistér, D.1
  • 26
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    • Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography
    • Jun
    • M. A. Fischler and R. C. Bolles, "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography," Commun. ACM, vol. 24, no. 6, pp. 381-395, Jun. 1981
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  • 28
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    • A threshold selection method from gray-level histograms
    • Jan
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.