Concepedia

Self-supervised Lane Detection

Self-Supervised Lane Detection is a lane detection methodology that belongs to the class of self-supervised learning approaches, distinguished by its ability to learn lane representations from unlabeled driving imagery through pretext tasks that exploit intrinsic structural and spatial regularities within the data.

2

Publications

355

Citations

4

Authors

2

Institutions

Publications per year

2017–2026

2

Parents

Publications

2

1–3 of 2

Authors

4

  1. PS
    Pranav Singh Chib

    Indian Institute of Technology Roorkee, India

    1 publications · 256 citations

    1

    h-index

  2. KJ
    Kang-Hyun Jo

    University of Ulsan, South Korea

    1 publications · 99 citations

    1

    h-index

  3. LW
    Lihua Wen

    University of Ulsan, South Korea

    1 publications · 99 citations

    1

    h-index

  4. PS
    Pravendra Singh

    Indian Institute of Technology Kanpur, India

    1 publications · 256 citations

    1

    h-index

  5. AZ
    Ali Zoljodi

    Mälardalen University, Sweden

    1 publications · 16 citations

    0

    h-index

1–5 of 4

Institutions

2

  1. Indian Institute of Technology Roorkee

    Roorkee, India

    1 h-index

    2 publications

    512 citations

  2. University of Ulsan

    Ulsan, South Korea

    1 h-index

    2 publications

    198 citations

  3. University of Leicester

    Leicester, United Kingdom

    1 publications

    16 citations

  4. Lindholmen Science Park

    Gothenburg, Sweden

    1 publications

    16 citations

  5. Tallinn University of Technology

    Tallinn, Estonia

    1 publications

    16 citations

1–5 of 2

Venues

  1. IEEE Transactions on Intelligent Vehicles

    ITIVBL · 1 publications · 256 citations

    1

    h-index

  2. Neurocomputing

    1 publications · 99 citations

    1

    h-index

  3. Pattern Recognition Letters

    1 publications · 16 citations

1–3