Article (Scientific journals)
A Comparative Study of CNN and Vision Transformer for Driver Drowsiness Detection
Chaouch, Oussama; Chaouch, Asma; Abdellaoui, Mehrez et al.
2026 • In International Conference on Control, Automation and Diagnosis, p. 1-6
Peer reviewed
 

Files


Full Text
A_Comparative_Study_of_CNN_and_Vision_Transformer_for_Driver_Drowsiness_Detection.pdf
Author postprint (1.61 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Disciplines :
Computer science
Author, co-author :
Chaouch, Oussama ;  Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science ; National Engineering School of Sousse, University of Sousse
Chaouch, Asma;  National Engineering School of Sousse, University of Sousse
Abdellaoui, Mehrez;  National Engineering School of Sousse, University of Sousse
Fonteneau, Raphaël  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Smart grids
Ernst, Damien  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Smart grids
Language :
English
Title :
A Comparative Study of CNN and Vision Transformer for Driver Drowsiness Detection
Publication date :
17 August 2026
Journal title :
International Conference on Control, Automation and Diagnosis
Publisher :
IEEE
Pages :
1-6
Peer reviewed :
Peer reviewed
Available on ORBi :
since 16 September 2026

Statistics


Number of views
31 (0 by ULiège)
Number of downloads
20 (0 by ULiège)

Scopus citations®
 
0
Scopus citations®
without self-citations
0
OpenAlex citations
 
0

Bibliography


Similar publications



Contact ORBi