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Volumn , Issue , 2011, Pages 1721-1726

On feature templates for particle filter based lane detection

Author keywords

[No Author keywords available]

Indexed keywords

DESCRIPTORS; FEATURE DESCRIPTORS; FEATURE TEMPLATE; IMAGE FEATURES; LANE DETECTION; LIKELIHOOD FUNCTIONS; PARTICLE FILTER; PATTERN DISCRIMINATION; SIMPLE APPROACH;

EID: 83755196362     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2011.6083016     Document Type: Conference Paper
Times cited : (17)

References (17)
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    • Robust vision based lane tracking using multiple cues and particle filtering
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    • Apostoloff, N.1    Zelinsky, A.2
  • 2
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    • A tutorial on Particle Filters for online nonlinear/non-Gaussia Bayesian tracking
    • 2
    • M.S. Arulampalam, S. Maskell, N. Gordon, and T Clapp. A tutorial on Particle Filters for online nonlinear/non-Gaussia Bayesian tracking. IEEE Trans. Signal Processing, 50(2):174-188, 2 2002.
    • (2002) IEEE Trans. Signal Processing , vol.50 , Issue.2 , pp. 174-188
    • Arulampalam, M.S.1    Maskell, S.2    Gordon, N.3    Clapp, T.4
  • 3
    • 44649107771 scopus 로고    scopus 로고
    • An overview of existing methods and recent advances in Sequential Monte Carlo
    • 5
    • O. Cappé, S. J. Godsill, and E. Moulines. An overview of existing methods and recent advances in Sequential Monte Carlo. Proceedings of the IEEE, 95(5):899-924, 5 2007.
    • (2007) Proceedings of the IEEE , vol.95 , Issue.5 , pp. 899-924
    • Cappé, O.1    Godsill, S.J.2    Moulines, E.3
  • 9
    • 0032136153 scopus 로고    scopus 로고
    • CONDENSATION - Conditional Density Propagation for Visual Tracking
    • M. Isard and A. Blake. CONDENSATION - conditional density propagation for visual tracking. International Journal Computer Vision, 29(1):5-28, 1998. (Pubitemid 128523364)
    • (1998) International Journal of Computer Vision , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 12
    • 77956543379 scopus 로고    scopus 로고
    • Combining Statistical Hough Transform and Particle Filter for robust lane detection and tracking
    • IEEE
    • G. Liu, F. Worgotter, and I. Markelic. Combining Statistical Hough Transform and Particle Filter for robust lane detection and tracking. In Intelligent Vehicles Symposium (IV), 2010 IEEE, pages 993-997. IEEE, 2010.
    • (2010) Intelligent Vehicles Symposium (IV), 2010 IEEE , pp. 993-997
    • Liu, G.1    Worgotter, F.2    Markelic, I.3
  • 14
    • 0026008290 scopus 로고
    • Inverse perspective mapping simplifies optical flow computation and obstacle detection
    • H. Mallot, H. Bülthoff, J. Little, and S. Bohrer. Inverse perspective mapping simplifies optical flow computation and obstacle detection. Biological Cybernetics, 64:177-185, 1991.
    • (1991) Biological Cybernetics , vol.64 , pp. 177-185
    • Mallot, H.1    Bülthoff, H.2    Little, J.3    Bohrer, S.4
  • 15
    • 33644981417 scopus 로고    scopus 로고
    • Video-based lane estimation and tracking for driver assistance: Survey, system, and evaluation
    • J.C. McCall and M.M. Trivedi. Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation. Intelligent Transportation Systems, IEEE Transactions on, 7(1):20-37, 2006.
    • (2006) Intelligent Transportation Systems, IEEE Transactions on , vol.7 , Issue.1 , pp. 20-37
    • McCall, J.C.1    Trivedi, M.M.2
  • 17
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    • A robust lane detection and tracking method based on computer vision
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    • (2006) Measurement Science and Technology , vol.17 , Issue.4 , pp. 736-745
    • Zhou, Y.1    Xu, R.2    Hu, X.3    Ye, Q.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.