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Volumn , Issue , 2012, Pages 46-48

GPU-based real-time RGB-D 3D SLAM

Author keywords

3D SLAM; 3D RANSAC; Image features; Projective iterative closest point; RGB D camera

Indexed keywords

3D SLAM; 3D-RANSAC; IMAGE FEATURES; ITERATIVE CLOSEST POINTS; RGB-D CAMERAS;

EID: 84874668585     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/URAI.2012.6462927     Document Type: Conference Paper
Times cited : (29)

References (11)
  • 3
    • 0348041570 scopus 로고    scopus 로고
    • An efficient Fast SLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurements
    • (IROS), vol. 1
    • D. Hahnel, W. Burgard, D. Fox, and S. Thrun, "An efficient Fast SLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurements," Proc. of 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), vol. 1, pp. 206-211 vol. 1, 2003.
    • (2003) Proc. of 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems , vol.1 , pp. 206-211
    • Hahnel, D.1    Burgard, W.2    Fox, D.3    Thrun, S.4
  • 8
    • 84860151074 scopus 로고    scopus 로고
    • RGB-D mapping: Using kinect-style depth cameras for dense 3D modeling of indoor environments
    • Apr
    • P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, "RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments," The International Journal of Robotics Research, vol. 31, no. 5, pp. 647-663, Apr. 2012.
    • (2012) The International Journal of Robotics Research , vol.31 , Issue.5 , pp. 647-663
    • Henry, P.1    Krainin, M.2    Herbst, E.3    Ren, X.4    Fox, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.