Lane detection using spline model
Pattern Recognition Letters
Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
A machine vision system for lane-departure detection
Computer Vision and Image Understanding
A lane-curve detection based on an LCF
Pattern Recognition Letters
Finding Picture Edges Through Collinearity of Feature Points
IEEE Transactions on Computers
GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection
IEEE Transactions on Image Processing
Robust Lane Lines Detection and Quantitative Assessment
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
Driver Assistance System Based on Monocular Vision
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
Road Lane Detection with Elimination of High-Curvature Edges
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Lane mark segmentation and identification using statistical criteria on compressed video
Integrated Computer-Aided Engineering
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This paper proposes a technique for unwanted lane departure detection. Initially, lane boundaries are detected using a combination of the edge distribution function and a modified Hough transform. In the tracking stage, a linear-parabolic lane model is used: in the near vision field, a linear model is used to obtain robust information about lane orientation; in the far field, a quadratic function is used, so that curved parts of the road can be efficiently tracked. For lane departure detection, orientations of both lane boundaries are used to compute a lane departure measure at each frame, and an alarm is triggered when such measure exceeds a threshold. Experimental results indicate that the proposed system can fit lane boundaries in the presence of several image artifacts, such as sparse shadows, lighting changes and bad conditions of road painting, being able to detect in advance involuntary lane crossings.