• DocumentCode
    1761383
  • Title

    Detecting Unfocused Raindrops: In-Vehicle Multipurpose Cameras

  • Author

    Cord, Aurelien ; Gimonet, Nicolas

  • Author_Institution
    LIVIC, IFSTTAR, Versailles, France
  • Volume
    21
  • Issue
    1
  • fYear
    2014
  • fDate
    41699
  • Firstpage
    49
  • Lastpage
    56
  • Abstract
    Advanced driver assistance systems (ADASs) based on video cameras are becoming pervasive in today´s automotive industry. However, while most of these systems perform nicely in clear weather conditions, their performances fail drastically in adverse weather and particularly in the rain. We present two novel approaches that aim to detect unfocused raindrops on a car windshield using only images from an in-vehicle camera. Based on the photometric properties of raindrops, the algorithms rely on image processing techniques to highlight them. The results will be used to improve ADAS behavior under rainy conditions. Both approaches are compared with each other and the techniques from the literature.
  • Keywords
    automotive components; driver information systems; photometry; video cameras; video signal processing; ADAS; advanced driver assistance systems; automotive industry; car windshield; image processing techniques; in-vehicle multipurpose cameras; photometric properties; unfocused raindrop detection; video cameras; Automotive components; Autonomous vehicles; Cameras; Driver assistance systems; Image segmentation; Intelligent vehicles; Navigatino; Rain; Shape analysis;
  • fLanguage
    English
  • Journal_Title
    Robotics & Automation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9932
  • Type

    jour

  • DOI
    10.1109/MRA.2013.2287451
  • Filename
    6736108