• DocumentCode
    1781283
  • Title

    Radar depth association with vision detected vehicles on a highway

  • Author

    Sikdar, Ankita ; Siyang Cao ; Zheng, Yuan F. ; Ewing, Robert L.

  • Author_Institution
    Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Firstpage
    1159
  • Lastpage
    1164
  • Abstract
    No single sensor can independently predict the 3-D environment around us. A vision sensor helps locate objects in a 2-D plane. However, estimating distance using one vision sensor has a limitation. A single radar sensor returns the range of objects accurately; however, the complexity and cost increase if good spatial resolution is required. Thus a radar does not indicate which range corresponds to which object. In this paper, we associate vision detected objects to radar returned echoes, focusing on highways, estimating the 3-D locations of cars around an ego vehicle. This information would help cars driving autonomously to maneuver around.
  • Keywords
    distance measurement; image processing equipment; image sensors; road vehicle radar; 3D location estimation; cars location estimation; radar depth association; radar returned echo; single radar sensor; vision detected objects; vision detected vehicle; vision sensor; Cameras; Machine vision; Radar detection; Radar imaging; Spaceborne radar; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2014 IEEE
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4799-2034-1
  • Type

    conf

  • DOI
    10.1109/RADAR.2014.6875771
  • Filename
    6875771