Road-line detection and 3D reconstruction using fisheye cameras

In future Advanced Driver Assistance Systems (ADAS), smart monitoring of the vehicle environment is a key issue. Fisheye cameras have become popular as they provide a panoramic view with a few low-cost sensors. However, current ADAS systems have limited use as most of the underlying image processing has been designed for perspective views only. In this article the authors illustrate how the theoretical work done in omnidirectional vision over the past ten years can help to tackle this issue. To do so, the authors have evaluated a simple algorithm for road line detection based on the unified sphere model in real conditions. The authors firstly highlight the interest of using fisheye cameras in a vehicle, then they outline their method, present their experimental results on the detection of lines on a set of 180 images, and finally, show how the 3D position of the lines can be recovered by triangulation.

• Record URL:
  https://doi.org/10.1109/ITSC.2013.6728376
• Availability:
  • Find a library where document is available. Order URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6712176
• Supplemental Notes:
  • Abstract reprinted with permission of IEEE.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Boutteau, R
  • Savatier, X
  • Bonardi, F
  • Ertaud, J Y
• Conference:
  • 16th International IEEE Conference on Intelligent Transportation Systems (ITSC)
  • Location: The Hague , Netherlands
  • Date: 2013-10-6 to 2013-10-9
• Publication Date: 2013-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1083-1088
• Monograph Title: 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013)

Subject/Index Terms

• TRT Terms: Cameras; Driver support systems; Intelligent vehicles; Triangulation
• Uncontrolled Terms: Omnidirectional vision; Three dimensional imaging
• Subject Areas: Data and Information Technology; Design; Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;

Filing Info

• Accession Number: 01562928
• Record Type: Publication
• ISBN: 9781479929146
• Files: TRIS
• Created Date: May 14 2015 12:42PM