Image-Based Fatigue Detection of Vehicle Driver: State-of-the-Art and Reference Model
The paper analyzes modern methods of driver fatigue. There are a huge variety of methods for assessing the functional states of a person. The detection of the dynamic behavior of the driver in recent years has become an increasingly popular area of research. Dynamic assessment of driver behavior inc...
Enregistré dans:
Auteurs principaux: | Alexandr Bulygin, Alexey Kashevnik |
---|---|
Format: | article |
Langue: | EN |
Publié: |
FRUCT
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/2ff0e7bdda1e4b41a0cd7e1b04a6d890 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Dynamic Adjustment Strategy of Rail Guide Vehicle
par: Wenbin Liu, et autres
Publié: (2021) -
A no‐reference blurred colourful image quality assessment method based on dual maximum local information
par: Jian Chen, et autres
Publié: (2021) -
State Measurement and Control Technology of Unmanned Vehicle Based on High-Precision Positioning
par: Zhongyi Zhao, et autres
Publié: (2021) -
A Lightweight Authenticated Key Agreement Protocol Using Fog Nodes in Social Internet of Vehicles
par: Tsu-Yang Wu, et autres
Publié: (2021) -
An Empirical Study on the Artificial Intelligence-Aided Quantitative Design of Art Images
par: Wen Zhang, et autres
Publié: (2021)