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
Road Condition Detection Based on Deep Learning YOLOv5 Netw..:
, In:
2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI)
,
Lu, Zhaojie
;
Ding, Leiyi
;
Wang, Zhiyuan
.. - p. 497-501 , 2023
Link:
https://doi.org/10.1109/ICETCI57876.2023.10176545
RT T1
2023 IEEE 3rd International Conference on Electronic Technology, Communication and Information (ICETCI)
: T1
Road Condition Detection Based on Deep Learning YOLOv5 Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10176545&Exemplar=1&LAN=DE A1 Lu, Zhaojie A1 Ding, Leiyi A1 Wang, Zhiyuan A1 Dong, Linjie A1 Guo, Zebang YR 2023 K1 Deep learning K1 Analytical models K1 Roads K1 Data preprocessing K1 Object detection K1 Network architecture K1 Feature extraction K1 yolov5 K1 object detection K1 Road condition detection SP 497 OP 501 LK http://dx.doi.org/https://doi.org/10.1109/ICETCI57876.2023.10176545 DO https://doi.org/10.1109/ICETCI57876.2023.10176545 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)