• DocumentCode
    2012845
  • Title

    Estimation of traffic sign visibility considering temporal environmental changes for smart driver assistance

  • Author

    Doman, Keisuke ; Deguchi, Daisuke ; Takahashi, Tomokazu ; Mekada, Yoshito ; Ide, Ichiro ; Murase, Hiroshi ; Tamatsu, Yukimasa

  • Author_Institution
    Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya, Japan
  • fYear
    2011
  • fDate
    5-9 June 2011
  • Firstpage
    667
  • Lastpage
    672
  • Abstract
    We propose a visibility estimation method for traffic signs considering temporal environmental changes, as a part of work for the realization of nuisance-free driver assistance systems. Recently, the number of driver assistance systems in a vehicle is increasing. Accordingly, it is becoming important to sort out appropriate information provided from them, because providing too much information may cause driver distraction. To solve such a problem, we focus on a visibility estimation method for controlling the information according to the visibility of a traffic sign. The proposed method sequentially captures a traffic sign by an in-vehicle camera, and estimates its accumulative visibility by integrating a series of instantaneous visibility. By this way, even if the environmental conditions may change temporally and complicatedly, we can still accurately estimate the visibility that the driver perceives in an actual traffic scene. We also investigate the performance of the proposed method and show its effectiveness.
  • Keywords
    driver information systems; feature extraction; road traffic; instantaneous visibility; invehicle camera; nuisance-free driver assistance systems; smart driver assistance; temporal environmental changes; traffic scene; traffic sign visibility estimation; Cameras; Driver circuits; Estimation; Feature extraction; Image color analysis; Videos; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2011 IEEE
  • Conference_Location
    Baden-Baden
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4577-0890-9
  • Type

    conf

  • DOI
    10.1109/IVS.2011.5940467
  • Filename
    5940467