Optimizing Road Safety: Advancements in Lightweight YOLOv8 Models and GhostC2f Design for Real-Time Distracted Driving Detection

The rapid detection of distracted driving behaviors is crucial for enhancing road safety and preventing traffic accidents. Compared with the traditional methods of distracted-driving-behavior detection, the YOLOv8 model has been proven to possess powerful capabilities, enabling it to perceive global...

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Detalles Bibliográficos
Autores principales: Du, Yingjie, Liu, Xiaofeng, Yi, Yuwei, Wei, Kun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649436/
https://www.ncbi.nlm.nih.gov/pubmed/37960543
http://dx.doi.org/10.3390/s23218844

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649436/
https://www.ncbi.nlm.nih.gov/pubmed/37960543
http://dx.doi.org/10.3390/s23218844

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