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
Traffic Sign Recognition and Auditory Alert System for Sri ..:
, In:
2024 International Research Conference on Smart Computing and Systems Engineering (SCSE)
,
Vimalambikaipakan, Geerthana
;
Amarasinghe, Chinthaka
;
Rajapaksha, Tharangani
.. - p. 1-5 , 2024
Link:
https://doi.org/10.1109/SCSE61872.2024.10550615
RT T1 <cTitle>2024 International Research Conference on Smart Computing and Systems Engineering (SCSE)</cTitle>: T1 <Title>Traffic Sign Recognition and Auditory Alert System for Sri Lankan Drivers Using Deep-Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10550615&Exemplar=1&LAN=DE A1 Vimalambikaipakan, Geerthana A1 Amarasinghe, Chinthaka A1 Rajapaksha, Tharangani A1 Thayananthan, Thevathayarajh A1 Mariyathas, Janotheepan YR 2024 SN 2613-8662 K1 YOLO K1 Road accidents K1 Real-time systems K1 Internet K1 Safety K1 Modeling K1 Software tools K1 Auditory Alert K1 Recognition K1 Roboflow K1 Traffic Signs K1 YOLOv5 SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/SCSE61872.2024.10550615 DO https://doi.org/10.1109/SCSE61872.2024.10550615 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
