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
Decentralized Localization Framework using Heterogeneous Ma..:
, In:
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
,
Lee, Soomok
;
Kim, Jung-Hoon
;
Kim, Jung-Woo
.. - p. 2183-2189 , 2018
Link:
https://doi.org/10.1109/IROS.2018.8593948
RT T1 <cTitle>2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)</cTitle>: T1 <Title>Decentralized Localization Framework using Heterogeneous Map-matchings</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8593948&Exemplar=1&LAN=DE A1 Lee, Soomok A1 Kim, Jung-Hoon A1 Kim, Jung-Woo A1 Oh, GyuMin A1 Seo, Seung- Woo YR 2018 SN 2153-0866 K1 Roads K1 Laser radar K1 Three-dimensional displays K1 Cameras K1 Feature extraction K1 Sensor fusion SP 2183 OP 2189 LK http://dx.doi.org/https://doi.org/10.1109/IROS.2018.8593948 DO https://doi.org/10.1109/IROS.2018.8593948 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
