Research on Fatigued-Driving Detection Method by Integrating Lightweight YOLOv5s and Facial 3D Keypoints

In response to the problem of high computational and parameter requirements of fatigued-driving detection models, as well as weak facial-feature keypoint extraction capability, this paper proposes a lightweight and real-time fatigued-driving detection model based on an improved YOLOv5s and Attention...

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Detalles Bibliográficos
Autores principales: Ran, Xiansheng, He, Shuai, Li, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575209/
https://www.ncbi.nlm.nih.gov/pubmed/37837095
http://dx.doi.org/10.3390/s23198267

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575209/
https://www.ncbi.nlm.nih.gov/pubmed/37837095
http://dx.doi.org/10.3390/s23198267

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