I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Multimodal Features Fusion for Driver Fatigue Detection Bas..:
, In:
2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI)
,
Zhao, Shuaijie
;
Du, Aimin
;
Han, Yeyang
.. - p. 1-6 , 2023
Link:
https://doi.org/10.1109/CVCI59596.2023.10397400
RT T1
2023 7th CAA International Conference on Vehicular Control and Intelligence (CVCI)
: T1
Multimodal Features Fusion for Driver Fatigue Detection Based on CNN-GTN Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-10397400&Exemplar=1&LAN=DE A1 Zhao, Shuaijie A1 Du, Aimin A1 Han, Yeyang A1 Yi, Jiwei A1 Zhu, Zhongpan YR 2023 K1 Predictive models K1 Electrocardiography K1 Fatigue K1 Feature extraction K1 Convolutional neural networks K1 Facial features K1 Vehicles K1 driver monitoring K1 fatigue detection K1 multimodal features K1 feature extraction SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/CVCI59596.2023.10397400 DO https://doi.org/10.1109/CVCI59596.2023.10397400 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)