Instance-level Lane Segmentation

Instance-Level Lane Segmentation is a computer vision task that belongs to the category of lane detection methods, specifically distinguished by its ability to identify and segment individual lane instances in an image, assigning unique labels to each lane instance to enable precise per-lane localization and separation.

7

Publications

252

Citations

31

Authors

13

Institutions

Publications per year

2017–2026

7

Authors

31

  1. DC
    Donghoon Chang

    Indraprastha Institute of Information Technology Delhi, India

    1 publications · 26 citations

    1

    h-index

  2. SG
    Stamatios Georgoulis

    KU Leuven, Belgium

    1 publications · 70 citations

    1

    h-index

  3. JK
    Jinkeon Kang

    Indraprastha Institute of Information Technology Delhi, India

    1 publications · 26 citations

    1

    h-index

  4. HL
    Haixia Li

    Tsinghua University, China

    1 publications · 20 citations

    1

    h-index

  5. LX
    Li Xizhou

    1 publications · 20 citations

    1

    h-index

1–5 of 31

Venues

  1. 1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 22 citations

    1

    h-index

  3. Neurocomputing

    1 publications · 80 citations

    1

    h-index

  4. Journal of Advanced Transportation

    1 publications · 16 citations

  5. International Journal of Sustainable Engineering

    IJSE · 1 publications · 14 citations

1–5