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Volume 6, Issue 3
Lane Markers Detection based on Consecutive Threshold Segmentation

Huan Wang, Mingwu Ren and Sulin Shao

J. Info. Comput. Sci. , 6 (2011), pp. 207-212.

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  • Abstract
This paper proposed a simple and robust lane markers detection method for intelligent vehicle navigation. It needs not calculate inverse perspective map. The method uses multiple threshold segmentation instead of single threshold segmentation. And straight and curve lane markers are directly extracted in Run- Length accumulation (RLA) images. It performs well in various complex conditions and costs less than 50 ms for a 352 by 288 image. Experiments on many kinds of real complex image sequences demonstrate the effectiveness and efficiency of the proposed method.
  • Keywords

Automatic land vehicle Lane markers detection Weighted Hough Transformation

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COPYRIGHT: © Global Science Press

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@Article{JICS-6-207, author = {Huan Wang, Mingwu Ren and Sulin Shao}, title = {Lane Markers Detection based on Consecutive Threshold Segmentation}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {6}, number = {3}, pages = {207--212}, abstract = { This paper proposed a simple and robust lane markers detection method for intelligent vehicle navigation. It needs not calculate inverse perspective map. The method uses multiple threshold segmentation instead of single threshold segmentation. And straight and curve lane markers are directly extracted in Run- Length accumulation (RLA) images. It performs well in various complex conditions and costs less than 50 ms for a 352 by 288 image. Experiments on many kinds of real complex image sequences demonstrate the effectiveness and efficiency of the proposed method. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22677.html} }
TY - JOUR T1 - Lane Markers Detection based on Consecutive Threshold Segmentation AU - Huan Wang, Mingwu Ren and Sulin Shao JO - Journal of Information and Computing Science VL - 3 SP - 207 EP - 212 PY - 2024 DA - 2024/01 SN - 6 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22677.html KW - Automatic land vehicle Lane markers detection Weighted Hough Transformation AB - This paper proposed a simple and robust lane markers detection method for intelligent vehicle navigation. It needs not calculate inverse perspective map. The method uses multiple threshold segmentation instead of single threshold segmentation. And straight and curve lane markers are directly extracted in Run- Length accumulation (RLA) images. It performs well in various complex conditions and costs less than 50 ms for a 352 by 288 image. Experiments on many kinds of real complex image sequences demonstrate the effectiveness and efficiency of the proposed method.
Huan Wang, Mingwu Ren and Sulin Shao. (2024). Lane Markers Detection based on Consecutive Threshold Segmentation. Journal of Information and Computing Science. 6 (3). 207-212. doi:
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