• DocumentCode
    3243198
  • Title

    Diffused Region of Hough Method Based Road Detection Algorithm

  • Author

    Lei Shi ; Jian-feng Lu ; Jing-Yu Yang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Nanjing Univ. of Sci. & Technol., Nanjing
  • fYear
    2008
  • fDate
    22-24 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Road identification and detection is the essential problem to be solved in intelligent vehicle systems. As the complexity dimension of the surrounding environment increases, road recognition becomes much harder under different interferences. To increment the robustness and interference immunity, a diffused region of Hough based road detection algorithm is proposed in this paper. This algorithm incorporates the global information of road shape, the assistance usage of the diffused region pixels around the road edges in the feature space. Meanwhile, the computing complexity can be decreased and the real-time ability can be increased with the aid of some pre-knowledge and estimated orientation parameters through additional sensor modules. Experiments with images sampled in our system proved the effectiveness and applicability of this method.
  • Keywords
    Hough transforms; automated highways; image recognition; object detection; parameter estimation; Hough method; diffused region pixel; intelligent vehicle system; parameter estimation; road detection; road identification; road recognition; road shape; Computer science; Detection algorithms; Image edge detection; Intelligent sensors; Intelligent vehicles; Interference; Parameter estimation; Roads; Robustness; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2008. CCPR '08. Chinese Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2316-3
  • Type

    conf

  • DOI
    10.1109/CCPR.2008.92
  • Filename
    4663045