• DocumentCode
    2475780
  • Title

    Fast shape-based road sign detection for a driver assistance system

  • Author

    Loy, Gareth ; Barnes, Nick

  • Author_Institution
    Comput. Vision & Active Perception Lab., Royal Inst. of Technol., Stockholm, Sweden
  • Volume
    1
  • fYear
    2004
  • fDate
    28 Sept.-2 Oct. 2004
  • Firstpage
    70
  • Abstract
    A new method is presented for detecting triangular, square and octagonal road signs efficiently and robustly. The method uses the symmetric nature of these shapes, together with the pattern of edge orientations exhibited by equiangular polygons with a known number of sides, to establish possible shape centroid locations in the image. This approach is invariant to in-plane rotation and returns the location and size of the shape detected. Results on still images show a detection rate of over 95%. The method is efficient enough for real-time applications, such as on-board-vehicle sign detection.
  • Keywords
    driver information systems; object detection; road vehicles; driver assistance system; road sign detection; shape centroid location; shape detection; Australia; Computer vision; Detectors; Image edge detection; Image segmentation; Pixel; Road safety; Robustness; Shape; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on
  • Print_ISBN
    0-7803-8463-6
  • Type

    conf

  • DOI
    10.1109/IROS.2004.1389331
  • Filename
    1389331