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Improved line detection algorithm for locating road lane markings

Improved line detection algorithm for locating road lane markings

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An improved line detection algorithm for locating road lane markings is described. After scanning images to find mid-points of potential lane markings, they are passed to the line detection algorithm. This makes multiple hypotheses of lines based on random pairs of potential line features and selects the one having the greatest support. After finding each line the algorithm deletes not only the inliers within a ‘fit tolerance’ distance df but also the innermost outliers lying within a ‘delete tolerance’ distance dd. It is found that as dddf is increased the final result becomes more robust because elimination of remanent points near each line prevents them from confusing the algorithm when searching for further lines.

References

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      • McDonald, J., Franz, J., Shorten, R.: `Application of the Hough transform to lane detection in motorway driving scenarios', Irish Signals and Systems Conf., 2001, Maynooth, Ireland.
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      • Borkar, A., Hayes, M., Smith, M.T.: `Robust lane detection and tracking with RANSAC and Kalman filter', Proc. Int. Conf. on Image Processing, October 2009, Cairo, Egypt.
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      • Maire, F., Rakotonirainy, A.: `Analysis of driving session videos by reverse temporal order processing', CGIV, 2006, Sydney, Australia, p. 255–261.
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