A Multiscale Recognition Method for the Optimization of Traffic Signs Using GMM and Category Quality Focal Loss

Effective traffic sign recognition algorithms can assist drivers or automatic driving systems in detecting and recognizing traffic signs in real-time. This paper proposes a multiscale recognition method for traffic signs based on the Gaussian Mixture Model (GMM) and Category Quality Focal Loss (CQFL...

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Detalles Bibliográficos
Autores principales: Gao, Mingyu, Chen, Chao, Shi, Jie, Lai, Chun Sing, Yang, Yuxiang, Dong, Zhekang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506910/
https://www.ncbi.nlm.nih.gov/pubmed/32867246
http://dx.doi.org/10.3390/s20174850

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506910/
https://www.ncbi.nlm.nih.gov/pubmed/32867246
http://dx.doi.org/10.3390/s20174850

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