A Hybrid Deep Learning Model for Recognizing Actions of Distracted Drivers

With the rapid spreading of in-vehicle information systems such as smartphones, navigation systems, and radios, the number of traffic accidents caused by driver distractions shows an increasing trend. Timely identification and warning are deemed to be crucial for distracted driving and the establish...

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Detalles Bibliográficos
Autores principales: Jiao, Shuang-Jian, Liu, Lin-Yao, Liu, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588220/
https://www.ncbi.nlm.nih.gov/pubmed/34770728
http://dx.doi.org/10.3390/s21217424

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588220/
https://www.ncbi.nlm.nih.gov/pubmed/34770728
http://dx.doi.org/10.3390/s21217424

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