Concepedia

Unsupervised Lane Detection

Unsupervised Lane Detection is a lane detection methodology that operates without reliance on labeled training data by leveraging intrinsic data structures or geometric constraints to identify lane markings from raw sensory input.

3

Publications

2.5K

Citations

9

Authors

6

Institutions

Publications per year

2017–2026

1

Parents

Publications

3

1–3 of 3

Authors

9

  1. KB
    Karsten Behrendt

    Robert Bosch (United States), United States

    1 publications · 104 citations

    1

    h-index

  2. MH
    Marco Herrera

    National Polytechnic School, Ecuador

    1 publications · 13 citations

    1

    h-index

  3. RS
    Ryan Soussan

    Ames Research Center, United States

    1 publications · 104 citations

    1

    h-index

  4. KL
    Kiri L. Wagstaff

    Jet Propulsion Laboratory, United States

    1 publications · 2.4K citations

    1

    h-index

  5. CC
    Claire Cardie

    Cornell University, United States

    1 publications · 2.4K citations

    1

    h-index

1–5 of 9

Institutions

6

  1. Universidad Politécnica de Madrid

    Madrid, Spain

    1 h-index

    1 publications

    13 citations

  2. Universidad de Alcalá

    Alcalá de Henares, Spain

    1 h-index

    2 publications

    26 citations

  3. Centre for Automation and Robotics

    Arganda, Spain

    1 h-index

    1 publications

    13 citations

  4. Robert Bosch (India)

    Bengaluru, India

    1 h-index

    2 publications

    208 citations

  5. National Polytechnic School

    Quito, Ecuador

    1 h-index

    1 publications

    13 citations

  6. Instituto Superior Tecnológico Loja

    Loja, Ecuador

    1 h-index

    2 publications

    26 citations

1–6 of 6