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
Millimetre Wave Receiver of Radar Detection with Deep Learn..:
, In:
2020 15th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT)
,
Lai, Wen-Cheng
;
Chen, Hui-Chiao
;
Zhang, Yu-Kai
.. - p. 204-207 , 2020
Link:
https://doi.org/10.1109/IMPACT50485.2020.9268553
RT T1 <cTitle>2020 15th International Microsystems, Packaging, Assembly and Circuits Technology Conference (IMPACT)</cTitle>: T1 <Title>Millimetre Wave Receiver of Radar Detection with Deep Learning for ADAS Edge Computing Vision</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9268553&Exemplar=1&LAN=DE A1 Lai, Wen-Cheng A1 Chen, Hui-Chiao A1 Zhang, Yu-Kai A1 Guo, Ting-Jia A1 Hung, Yi-Jiun YR 2020 SN 2150-5942 K1 Millimeter wave radar K1 Convolution K1 Millimeter wave technology K1 Radar detection K1 Voltage-controlled oscillators K1 Frequency conversion K1 Deep learning K1 millimeter wave receiver K1 deep learning pedestrian detection system K1 ADAS K1 CNN K1 edge computing SP 204 OP 207 LK http://dx.doi.org/https://doi.org/10.1109/IMPACT50485.2020.9268553 DO https://doi.org/10.1109/IMPACT50485.2020.9268553 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
