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Volumn 42, Issue 17-18, 2015, Pages 6295-6305

Rear obstacle detection system with fisheye stereo camera using HCT

Author keywords

Fisheye stereo cameras; Hierarchical census transform (HCT); Obstacle detection; Obstacle detection region (OCR); Stereo matching

Indexed keywords

CAMERAS; COMPUTATIONAL EFFICIENCY; SENSITIVITY ANALYSIS; STEREO IMAGE PROCESSING; SURVEYS;

EID: 84929521448     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.04.035     Document Type: Article
Times cited : (34)

References (28)
  • 4
    • 84929521678 scopus 로고    scopus 로고
    • Superpixel-based obstacle segmentation from dense stereo urban traffic scenarios using intensity, depth and optical flow information
    • Giosan, Z., & Nedevschi, S. (2014). Superpixel-based obstacle segmentation from dense stereo urban traffic scenarios using intensity, depth and optical flow information. In Proc. IEEE intelligent transportation systems conference (pp. 1662-1668).
    • (2014) Proc. IEEE Intelligent Transportation Systems Conference , pp. 1662-1668
    • Giosan, Z.1    Nedevschi, S.2
  • 8
    • 84973242972 scopus 로고    scopus 로고
    • Vision-based vehicle detection for a driver assistance system
    • Y. Kuo, N. Pai, and Y. Li Vision-based vehicle detection for a driver assistance system Computers and Mathematics with Applications 64 5 2012 1259 1269
    • (2012) Computers and Mathematics with Applications , vol.64 , Issue.5 , pp. 1259-1269
    • Kuo, Y.1    Pai, N.2    Li, Y.3
  • 9
    • 79960774651 scopus 로고    scopus 로고
    • Stereo vision-based vehicle detection using a road feature and disparity histogram
    • C. Lee, Y. Lim, S. Kwon, and J. Lee Stereo vision-based vehicle detection using a road feature and disparity histogram Optical Engineering 50 2 2011 027004
    • (2011) Optical Engineering , vol.50 , Issue.2 , pp. 027004
    • Lee, C.1    Lim, Y.2    Kwon, S.3    Lee, J.4
  • 10
    • 84864978455 scopus 로고    scopus 로고
    • Vehicle detection and tracking using mean shift segmentation on semi-dense disparity maps
    • Lefebvre & Sebastien, (2012). Vehicle detection and tracking using mean shift segmentation on semi-dense disparity maps. In Proc. IEEE intelligent vehicles symposium (pp. 855-860).
    • (2012) Proc. IEEE Intelligent Vehicles Symposium , pp. 855-860
    • Lefebvre1    Sebastien2
  • 11
    • 79952069755 scopus 로고    scopus 로고
    • Easy calibration of a blind-spot-free fisheye camera system using a scene of a parking space
    • Shigang Li, and Ying Hai Easy calibration of a blind-spot-free fisheye camera system using a scene of a parking space IEEE Transaction on Intelligent Transportation Systems 12 1 2011 232 242
    • (2011) IEEE Transaction on Intelligent Transportation Systems , vol.12 , Issue.1 , pp. 232-242
    • Li, S.1    Hai, Y.2
  • 19
    • 54949146507 scopus 로고    scopus 로고
    • Color image segmentation in HIS space for automotive applications
    • C. Rotaru, T. Craf, and J. Zhang Color image segmentation in HIS space for automotive applications Journal of Real-Time Image Processing 3 4 2008 1164 1173
    • (2008) Journal of Real-Time Image Processing , vol.3 , Issue.4 , pp. 1164-1173
    • Rotaru, C.1    Craf, T.2    Zhang, J.3
  • 23
    • 84973273052 scopus 로고    scopus 로고
    • 〈vision.middlebury.edu/stereo〉.
  • 24
    • 70349599016 scopus 로고    scopus 로고
    • Applying fuzzy method to vision based lane detection
    • J. Wang, C. Lin, and S. Chen Applying fuzzy method to vision based lane detection Expert Systems with Applications 37 1 2010 113 126
    • (2010) Expert Systems with Applications , vol.37 , Issue.1 , pp. 113-126
    • Wang, J.1    Lin, C.2    Chen, S.3
  • 27
    • 85010188314 scopus 로고
    • Non-parametric local transforms for computing visual correspondence
    • Zahib, R., & Woodfill, J. (1994). Non-parametric local transforms for computing visual correspondence. In Proc. European conference on computer vision (pp. 151-158).
    • (1994) Proc. European Conference on Computer Vision , pp. 151-158
    • Zahib, R.1    Woodfill, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.