• DocumentCode
    3669698
  • Title

    Assisting navigation in homogenous fog

  • Author

    Mihai Negru;Sergiu Nedevschi

  • Author_Institution
    Computer Science Department, Technical University of Cluj-Napoca, Romania
  • Volume
    2
  • fYear
    2014
  • Firstpage
    619
  • Lastpage
    626
  • Abstract
    An important cause of road accidents is the reduced visibility due to the presence of fog or haze. For this reason, there is a fundamental need for Advanced Driving Assistance Systems (ADAS) based on efficient real time algorithms able to detect the presence of fog, estimate the fog´s density, determine the visibility distance and inform the driver about the maximum speed that the vehicle should be traveling. Our solution is an improvement over existing methods of detecting fog due to the temporal integration of the horizon line and inflection point in the image. Our method performs in real time; approximately 50 frames per second. It is based on a single in-vehicle camera and is able to detect day time fog in real time in a wide range of scenarios, including urban scenarios.
  • Keywords
    "Vehicles","Cameras","Roads","Estimation","Mathematical model","Accidents","Real-time systems"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Theory and Applications (VISAPP), 2014 International Conference on
  • Type

    conf

  • Filename
    7294987