• Journal of Terahertz Science and Electronic Information Technology
  • Vol. 20, Issue 4, 372 (2022)
LI Chunming1、*, YANG Shan1, and YUAN Songling2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.11805/tkyda2020231 Cite this Article
    LI Chunming, YANG Shan, YUAN Songling. Lane line tracking method combining frame difference method and window search[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(4): 372 Copy Citation Text show less
    References

    [1] GURGHIAN A,KODURI T,BAILUR S V,et al. Deep lanes:end-to-end lane position estimation using deep neural networks[C]//2016 IEEE Conference on Computation Vision & Pattern Recognition Workshops. Las Vegas,USA:IEEE, 2016:38-45.

    [2] LI J, MEI X, PROKHOROV D. Deep neural network for structural prediction and lane detection in traffic scene[J]. IEEE Transactions on Neural Networks & Learning Systems, 2016,28(3):1-14.

    [3] CHEN C, SEFF A, KORNHAUSER A, et al. Deep driving: learning affordance for direct perception in autonomous driving[C]//IEEE International Conference on Computer Vision. Santiago,Chile:IEEE, 2015:2722-2730.

    [7] ABDEL-AZIZ Y, KARARA H, HAUCK M. Direction linear transformation from comparator coordinates into object space coordinates in close-range photogrammetry[J]. Photogrammetric Engineering & Remote Sensing, 2015,81(2):103-107.

    [9] WANG W, SHEN J, SHAO L. Consistent video saliency using local gradient flow optimization and global refinement[J]. IEEE Transactions on Image Processing, 2015,24(11):4185-4196.

    [10] WANG W, SHEN J, PORIKLI F. Saliency-aware geodesic video object segmentation[C]// IEEE Computer Vision & Patten Recognition. Boston,USA:IEEE, 2015:3395-3402.

    LI Chunming, YANG Shan, YUAN Songling. Lane line tracking method combining frame difference method and window search[J]. Journal of Terahertz Science and Electronic Information Technology , 2022, 20(4): 372
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