Traffic Sign Classification

Traffic Sign Classification is a computational task in computer vision that categorizes detected traffic signs into predefined semantic classes based on their visual features and geometric attributes.

492

Publications

33.6K

Citations

1.4K

Authors

498

Institutions

Publications per year

2017–2026

229

Authors

1.4K

  1. HF
    Hasan Fleyeh

    Dalarna University, Sweden

    8 publications · 271 citations

    8

    h-index

  2. OP
    Oriol Pujol

    Universitat de Barcelona, Spain

    6 publications · 800 citations

    6

    h-index

  3. PR
    Petia Radeva

    Universitat de Barcelona, Spain

    5 publications · 765 citations

    5

    h-index

  4. HG
    Hilario Gómez-Moreno

    Universidad de Alcalá, Spain

    5 publications · 923 citations

    5

    h-index

  5. KJ
    Kang-Hyun Jo

    University of Ulsan, South Korea

    5 publications · 127 citations

    5

    h-index

1–5 of 1.4K

Venues

  1. 23

    h-index

  2. Sensors

    14 publications · 582 citations

    13

    h-index

  3. Multimedia Tools and Applications

    11 publications · 434 citations

    11

    h-index

  4. arXiv (Cornell University)

    Repository · 8 publications · 310 citations

    8

    h-index

  5. Neural Computing and Applications

    8 publications · 345 citations

    8

    h-index

1–5