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
Nighttime Traffic Light Detection with Arrow Signal Recogni..:
, In:
2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)
,
Tsai, Mu-Yun
;
Lin, Huei-Yung
- p. 594-599 , 2022
Link:
https://doi.org/10.1109/ISIE51582.2022.9831510
RT T1 <cTitle>2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)</cTitle>: T1 <Title>Nighttime Traffic Light Detection with Arrow Signal Recognition Using a Vision and Learning Based Approach</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9831510&Exemplar=1&LAN=DE A1 Tsai, Mu-Yun A1 Lin, Huei-Yung YR 2022 SN 2163-5145 K1 Support vector machines K1 Training K1 Performance evaluation K1 Learning systems K1 Image coding K1 Image color analysis K1 Lighting SP 594 OP 599 LK http://dx.doi.org/https://doi.org/10.1109/ISIE51582.2022.9831510 DO https://doi.org/10.1109/ISIE51582.2022.9831510 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
