Lane Detection on Non-flat Road Using Piecewise Linear Model 


Vol. 39,  No. 6, pp. 322-332, Jun.  2014


PDF
  Abstract

This paper proposes a robust lane detection algorithm for non-flat roads by combining a piecewise linear model and dynamic programming. Compared with other lane models, the piecewise linear model can represent 3D shapes of roads from the scenes acquired by monocular camera since it can form a curved surface through a set of planar road. To represent the real road, the planar roads are created by various angles and positions at each section. And dynamic programming determines an optimal combination of planar roads based on lane properties. Experiment results demonstrate the robustness of proposed algorithm against non-flat road, curved road, and camera vibration.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

M. Jeong and G. Kim, "Lane Detection on Non-flat Road Using Piecewise Linear Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 6, pp. 322-332, 2014. DOI: .

[ACM Style]

Min-Young Jeong and Gyeonghwan Kim. 2014. Lane Detection on Non-flat Road Using Piecewise Linear Model. The Journal of Korean Institute of Communications and Information Sciences, 39, 6, (2014), 322-332. DOI: .

[KICS Style]

Min-Young Jeong and Gyeonghwan Kim, "Lane Detection on Non-flat Road Using Piecewise Linear Model," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 6, pp. 322-332, 6. 2014.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880