Lane Marking Recognition for Constructing a Multi-Information Map

For the lane departure warning system or the lane keeping system, it is important to detect lane lines stably in images from vehicle onboard cameras. We have developed the lane line detection system for platooning. This system can detect various kinds of lane markings stably and robustly because it uses a multi-information map containing road marking information, such as a kind of road marking, the width of a lane line or degree of blur, to detect lane markings. A multi-information map is tied to position data obtained from global positioning system (GPS). Therefore, a vehicle can obtain information about lane markings to detect at the present position from a multi-information map. This paper proposes the method to construct a multi-information map automatically by recognizing road markings in images from an onboard front camera. Input images are transformed to inverse perspective projection images. In these transformed images, seven features, such as the histogram of line angles, the number of corner points, the histogram of a lane line width, the histogram of a lane line height, the histogram of the horizontal distance between markings, the histogram of the vertical distance between markings and the color of a maker, are extracted to discriminate road markings. Experiments conducted in real road scenes show the effectiveness of the proposed method for constructing a multi-information map.


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 12p
  • Monograph Title: 18th ITS World Congress, Orlando, 2011. Proceedings

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Filing Info

  • Accession Number: 01487341
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jul 11 2013 12:12PM