• DocumentCode
    261043
  • Title

    Improved lane detection system using Hough transform with super-resolution reconstruction algorithm and multi-ROI

  • Author

    Jae-Hyun Cho ; Tsogtbaatar, Erdenetuya ; Seong-Hoon Kim ; Young-Min Jang ; Pham-Minh-Luan Nguyen ; Sang-Bock Cho

  • Author_Institution
    Univ. of Ulsan, Ulsan, South Korea
  • fYear
    2014
  • fDate
    15-18 Jan. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Nowadays, due to the increasing need for using black boxes in vehicles, an evolving market is being created; that for example in South Korea, more than 1 million vehicles have been equipped with this device. In this paper, in order to improve the lane detection recognition via Hough transform, we improved the algorithm by set multi-ROI to reduce error rates and unrecognized part of the outside something as a lane. And we applied super-resolution reconstruction to correct the image. Through the proposed algorithm, proposed algorithm increase 0.6% of lane recognition rate and by setting multi-ROI irregular part of the road does not recognize so lane detection error rate was reduced significantly.
  • Keywords
    Hough transforms; image recognition; image reconstruction; image resolution; Hough transform; South Korea; black boxes; image super-resolution reconstruction algorithm; improved lane detection system; multiROI irregular part; Error analysis; Image reconstruction; Image resolution; Reconstruction algorithms; Roads; Transforms; Vehicles; Hough-transform; Super-Resolution Reconstruction; image processing; lane tracking; multi ROI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Information and Communications (ICEIC), 2014 International Conference on
  • Conference_Location
    Kota Kinabalu
  • Type

    conf

  • DOI
    10.1109/ELINFOCOM.2014.6914446
  • Filename
    6914446