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Application of artificial intelligence in prediction of tired behavior of drivers when driving by vehicles

Fen K.   (undergraduate student    BMSTU)

Afanasyev G. I.  (Candidate of Technical Sciences, associate professor BMSTU)

Nesterov Yu. G.  (Candidate of Technical Sciences, associate professor BMSTU)

Driving fatigue has become one of the main threats to the safety of drivers and others and has gradually become a global problem that needs to be addressed urgently. The current method for evaluating fatigue driving is generally based on the metrics returned by a combination of software and hardware. For different drivers, the difference between fatigue driving and non-fatigue driving is not obvious, which makes the detection effect of fatigue driving difficult to achieve. This article discusses the application of artificial intelligence to predict fatigue while driving motor vehicles and analyzes its prospects.

Keywords:artificial intelligence, fatigue driving, neural network, deep learning.

 

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Citation link:
Fen K. , Afanasyev G. I., Nesterov Y. G. Application of artificial intelligence in prediction of tired behavior of drivers when driving by vehicles // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№12/2. -С. 190-195 DOI 10.37882/2223-2966.2022.12-2.37
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