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Volumn , Issue , 2011, Pages 1014-1021

High resolution visual terrain classification for outdoor robots

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION RESULTS; DESCRIPTORS; DIFFERENT TERRAINS; HIGH RESOLUTION; HIGHER RESOLUTION; OUTDOOR MOBILE ROBOTS; RANDOM FORESTS; SINGLE CAMERAS; TEXTURE DESCRIPTORS; VISUAL TERRAIN CLASSIFICATION;

EID: 84856659532     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCVW.2011.6130362     Document Type: Conference Paper
Times cited : (49)

References (29)
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    • A. Angelova, L. Matthies, D. Helmick, and P. Perona. Learning and prediction of slip from visual information: Research articles. Journal of Field Robotics, 24(3):205-231, 2007.
    • (2007) Journal of Field Robotics , vol.24 , Issue.3 , pp. 205-231
    • Angelova, A.1    Matthies, L.2    Helmick, D.3    Perona, P.4
  • 7
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Hingham, MA, USA October Kluwer Academic Publishers
    • L. Breiman. Random forests. In Machine Learning, volume 45, pages 5-32, Hingham, MA, USA, October 2001. Kluwer Academic Publishers.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 17
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • D. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60(2):91-110, 2004.
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 26
    • 8644258401 scopus 로고    scopus 로고
    • A statistical approach to texture classification from single images
    • M. Varma and A. Zisserman. A statistical approach to texture classification from single images. International Journal of Computer Vision, 62(1-2):61-81, 2005.
    • (2005) International Journal of Computer Vision , vol.62 , Issue.1-2 , pp. 61-81
    • Varma, M.1    Zisserman, A.2
  • 27
    • 51649124336 scopus 로고    scopus 로고
    • Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields
    • P. Vernaza, B. Taskar, and D. Lee. Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. In IEEE International Conference on Robotics and Automation (ICRA 2008), pages 2750-2757, 2008.
    • (2008) IEEE International Conference on Robotics and Automation (ICRA 2008 , pp. 2750-2757
    • Vernaza, P.1    Taskar, B.2    Lee, D.3
  • 29
    • 26444585552 scopus 로고    scopus 로고
    • Realtime object recognition using decision tree learning
    • Heidelberg Springer
    • D. Wilking and T. R̈ofer. Realtime object recognition using decision tree learning. In RoboCup 2004: RobotWorld Cup VII, pages 556-563, Heidelberg, 2005. Springer.
    • (2005) RoboCup 2004: RobotWorld Cup VII , pp. 556-563
    • Wilking, D.1    R̈ofer, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.