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Volumn 1, Issue , 2008, Pages 342-346

Vision-based road detection by adaptive region segmentation and edge constraint

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE REGIONS; ADAPTIVE THRESHOLD SEGMENTATIONS; CANNY EDGES; DETECTION ALGORITHMS; EDGE CONSTRAINTS; GREY IMAGES; ILLUMINATION VARIATIONS; MOBILE VEHICLES; OUTDOOR ENVIRONMENTS; REAL ROAD ENVIRONMENTS; ROAD DETECTIONS; VISION-BASED;

EID: 62949136699     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITA.2008.203     Document Type: Conference Paper
Times cited : (10)

References (14)
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    • M. Bertozzi and A. Broggi. GOLD (1997) . a Parallel Real-Time Stereo Vision System for Generic Obstacle and Lane Detection[J]. IEEE Transactions on Image Processing . Vol. 7, No. 1, pp. 62-81
  • 3
    • 85024471943 scopus 로고
    • Representation and recovery of road geometry in YARF[C]
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    • Kluge, K.1    Thorpe, C.2
  • 4
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    • J. Crisman and C. Thorpe. SCARF( 1993).A Color Vision System that Tracks Roads and Intersections[C]. Proc. IEEE International Conference on Robotics & Automation, IEEE Computer Soc .pp.49-55.
    • J. Crisman and C. Thorpe. SCARF( 1993).A Color Vision System that Tracks Roads and Intersections[C]. Proc. IEEE International Conference on Robotics & Automation, IEEE Computer Soc .pp.49-55.
  • 5
    • 0025902044 scopus 로고
    • UNSCARF: A Color Vision System for the Detection of Unstructured Roads[C]
    • IEEE Computer Soc. pp
    • J. Crisman and C. Thorpe (1991). UNSCARF: A Color Vision System for the Detection of Unstructured Roads[C]. Proc. IEEE International Conference on Robotics & Automation, IEEE Computer Soc. pp. 2496-2499.
    • (1991) Proc. IEEE International Conference on Robotics & Automation , pp. 2496-2499
    • Crisman, J.1    Thorpe, C.2
  • 6
    • 13344290690 scopus 로고    scopus 로고
    • Performance Evaluation of Color Based Road Detection Using Neural Nets and Support Vector Machines[C]
    • Washington D.C
    • P. Conrad and M. Foedisch(2003). Performance Evaluation of Color Based Road Detection Using Neural Nets and Support Vector Machines[C]. in Proc. Applied Imagery Pattern Recognition Workshop, Washington D.C.
    • (2003) Proc. Applied Imagery Pattern Recognition Workshop
    • Conrad, P.1    Foedisch, M.2
  • 7
    • 3042600363 scopus 로고    scopus 로고
    • Vision-based detection of staircases
    • S. Se and M. Brady(2000). "Vision-based detection of staircases," in Proc. Asian Conf. Comp. Vision. pp. 535-540.
    • (2000) Proc. Asian Conf. Comp. Vision , pp. 535-540
    • Se, S.1    Brady, M.2
  • 8
    • 0033682220 scopus 로고    scopus 로고
    • Zebra-crossing detection for the partially sighted, in Proc
    • S. Se(2000)."Zebra-crossing detection for the partially sighted, "in Proc. Computer Vision and Pattern Recognition. pp. 211-217.
    • (2000) Computer Vision and Pattern Recognition , pp. 211-217
    • Se, S.1
  • 10
    • 0347706619 scopus 로고
    • A parallel architecture for curvaturebased road scene classication
    • I. Masaki, Ed.pp
    • A. Polk and R. Jain(1992). "A parallel architecture for curvaturebased road scene classication," in Vision-Based Vehicle Guidance, I. Masaki, Ed.pp. 284-299.
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    • Polk, A.1    Jain, R.2
  • 13
    • 0034196019 scopus 로고    scopus 로고
    • Planar grouping for automatic detection of vanishing lines and points
    • A. Zisserman F. Schaffalitzky(2000). "Planar grouping for automatic detection of vanishing lines and points," Image and Vision Computing. vol. 9, no. 18, pp. 647-658.
    • (2000) Image and Vision Computing , vol.9 , Issue.18 , pp. 647-658
    • Zisserman, A.1    Schaffalitzky, F.2
  • 14
    • 0018306059 scopus 로고
    • threshold selection method from grey-level histograms [J]
    • N. A. Otsu(1979). threshold selection method from grey-level histograms [J]. IEEE Transactions on System, Man and Cybernetics. Vol. 9, No. 1, pp.62-66.
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    • Otsu, N.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.