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
Reviewing Deep Learning-Based Feature Extractors in a Novel..:
, In:
2023 31st Mediterranean Conference on Control and Automation (MED)
,
Anagnostopoulos, Christos
;
Lalos, Aris S.
;
Kapsalas, Petros
.. - p. 107-112 , 2023
Link:
https://doi.org/10.1109/MED59994.2023.10185780
RT T1
2023 31st Mediterranean Conference on Control and Automation (MED)
: T1
Reviewing Deep Learning-Based Feature Extractors in a Novel Automotive SLAM Framework
UL https://suche.suub.uni-bremen.de/peid=ieee-10185780&Exemplar=1&LAN=DE A1 Anagnostopoulos, Christos A1 Lalos, Aris S. A1 Kapsalas, Petros A1 Nguyen, Duong Van A1 Stylios, Chrysostomos YR 2023 SN 2473-3504 K1 Location awareness K1 Simultaneous localization and mapping K1 Feature extraction K1 Trajectory K1 Odometry K1 Data mining K1 Reliability K1 SLAM K1 Deep Learning K1 Feature Extraction SP 107 OP 112 LK http://dx.doi.org/https://doi.org/10.1109/MED59994.2023.10185780 DO https://doi.org/10.1109/MED59994.2023.10185780 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)