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
Parents
492
The German Traffic Sign Recognition Benchmark: A multi-class classification competition
Johannes Stallkamp, Marc Schlipsing, Jan Salmen et al. · 2011 · 1.1K citations
Multi-column deep neural network for traffic sign classification
Dan Cireşan, Ueli Meier, Jonathan Masci et al. · Neural Networks · 2012 · 1K citations
Traffic-Sign Detection and Classification in the Wild
Zhe Zhu, Dun Liang, Song–Hai Zhang et al. · 2016 · 979 citations
1–5 of 492
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498
Tsinghua University
Beijing, China
14 h-index
43 publications
6.9K citations
Daimler (Germany)
Stuttgart, Germany
10 h-index
20 publications
689 citations
University of Monastir
Monastir, Tunisia
9 h-index
27 publications
757 citations

Universidad de Alcalá
Alcalá de Henares, Spain
9 h-index
43 publications
5.7K citations

Dalarna University
Falun, Sweden
7 h-index
12 publications
347 citations
FZI Research Center for Information Technology
Karlsruhe, Germany
6 h-index
23 publications
392 citations

Chinese Academy of Sciences
Beijing, China
6 h-index
14 publications
2.4K citations
Ruhr University Bochum
Bochum, Germany
5 h-index
15 publications
11.8K citations
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23 publications · 3.2K citations
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14 publications · 582 citations
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11 publications · 434 citations
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Repository · 8 publications · 310 citations
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8 publications · 345 citations
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