Transfer Learning Based Traffic Sign Recognition Using Inception-v3 Model

Traffic sign recognition is critical for advanced driver assistant system and road infrastructure survey. Traditional traffic sign recognition algorithms can't efficiently recognize traffic signs due to its limitation, yet deep learning-based technique requires huge amount of training data before its use, which is time consuming and labor intensive. In this study, transfer learning-based method is introduced for traffic sign recognition and classification, which significantly reduces the amount of training data and alleviates computation expense using Inception-v3 model. In our experiment, Bel... Mehr ...

Verfasser: Lin, Chunmian
Li, Lin
Luo, Wenting
Wang, Kelvin C. P.
Guo, Jiangang
Dokumenttyp: Artikel
Erscheinungsdatum: 2018
Verlag/Hrsg.: Budapest University of Technology and Economics
Schlagwörter: traffic sign recognition / transfer learning / Inception-v3 model / Belgium Traffic Sign Database / traffic infrastructure maintenance
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27353044
Datenquelle: BASE; Originalkatalog
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Link(s) : https://pp.bme.hu/tr/article/view/11480