Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments

The accurate and prompt recognition of a driver’s cognitive distraction state is of great significance to intelligent driving systems (IDSs) and human-autonomous collaboration systems (HACSs). Once the driver’s distraction status has been accurately identified, the IDS or HACS can actively intervene...

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Detalles Bibliográficos
Autores principales: Sun, Qinyu, Wang, Chang, Guo, Yingshi, Yuan, Wei, Fu, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472479/
https://www.ncbi.nlm.nih.gov/pubmed/32784788
http://dx.doi.org/10.3390/s20164426

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472479/
https://www.ncbi.nlm.nih.gov/pubmed/32784788
http://dx.doi.org/10.3390/s20164426

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