HSI color model based lane-marking detection

@article{Sun2006HSICM,
  title={HSI color model based lane-marking detection},
  author={Tsung-Ying Sun and Shang-Jeng Tsai and Vincent Chan},
  journal={2006 IEEE Intelligent Transportation Systems Conference},
  year={2006},
  pages={1168-1172}
}
Lane-marking detection is one of the major concerned topics in the field of driving safety and intelligent vehicle. In this paper, a new method using HSI color model for lane-marking detection, HSILMD, is proposed. In HSILMD, full color images are converted into HSI color representation, within the region of interest (ROI) aiming to detect road surface on host vehicle, the difference of intensity distribution of a row of pixels within ROI is recorded and clustered with fuzzy c-means algorithm… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-8 of 8 references

Lane detection using color-based segmentation

IEEE Proceedings. Intelligent Vehicles Symposium, 2005. • 2005

A robust linear-parabolic model for lane following

Proceedings. 17th Brazilian Symposium on Computer Graphics and Image Processing • 2004

Lane Detection and street type classification using laser range images

K. Dietmayer J. Sparbert, D. Streller
Intelligent transportation Systems

Laser and camera for road edge and mid - line detection

W. S. Wijesoma, K. R. S. Kodagoda, A. P. Balasurya, E. K. Teoh
Robot Motion and Control , 2001 Proceedings of the Second International Workshop

The Robust and Fast Approach for Vision - based Shadowy Road Boundary Detection

S. J. Tsai, T. Y. Sun
IEEE Intelligent Transportation Systems Conference

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