Lane departure warning system based on future driving path prediction

Based on computer vision technology, a lane departure warning system proposed in this research comprises three parts: the first part contains a lane model, which is constructed to mark the potential locations of the lanes in the images. The second part relates to lane marking detection on the basis of the constructed lane model, in which the edge of the lane marking has been detected through Hough transformation. Then the extended Kalman filter is used to reduce the range of the constructed lane model. Finally, a recursive operation finds the locations of the lane path. The third part is the alerting system. The deviation between the past driving path and the detected lane is used as a baseline; and grey theory is used to estimate the future driving path and to predict the deviation between time and distance. Warnings are then given in response to dangerous driving behavior in order to avoid accidents.


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  • Accession Number: 01523533
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 3 2014 4:13PM