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
Deep Learning-Based Approach for Autonomous Vehicle Localiz..:
Norbert Markó
;
Ernő Horváth
;
István Szalay
.
https://www.mdpi.com/2075-1702/11/12/1079. , 2023
Link:
https://doi.org/10.3390/machines11121079
RT Journal T1
Deep Learning-Based Approach for Autonomous Vehicle Localization: Application and Experimental Analysis
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:dcabd75a6a974d6a9ed43de830750d79&Exemplar=1&LAN=DE A1 Norbert Markó A1 Ernő Horváth A1 István Szalay A1 Krisztián Enisz PB MDPI AG YR 2023 K1 autonomous vehicle K1 open source K1 localization K1 GNSS K1 IMU K1 odometry K1 Mechanical engineering and machinery K1 TJ1-1570 JF https://www.mdpi.com/2075-1702/11/12/1079 LK http://dx.doi.org/https://doi.org/10.3390/machines11121079 DO https://doi.org/10.3390/machines11121079 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)