![](https://dblp.uni-trier.de./img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de./img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de./img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de./img/search.dark.16x16.png)
default search action
"Detecting Driver's Fatigue, Distraction and Activity Using a Non-Intrusive ..."
Miguel Costa et al. (2019)
- Miguel Costa
, Daniel Oliveira
, Sandro Pinto
, Adriano Tavares
:
Detecting Driver's Fatigue, Distraction and Activity Using a Non-Intrusive Ai-Based Monitoring System. J. Artif. Intell. Soft Comput. Res. 9(4): 247-266 (2019)
![](https://dblp.uni-trier.de./img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.