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
Line Model-Based Drift Estimation Method for Indoor Monocul..:
, In:
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
,
Feng, Guanyuan
;
Ma, Lin
;
Tan, Xuezhi
- p. 1-5 , 2018
Link:
https://doi.org/10.1109/VTCFall.2018.8690676
RT T1
2018 IEEE 88th Vehicular Technology Conference (VTC-Fall)
: T1
Line Model-Based Drift Estimation Method for Indoor Monocular Localization
UL https://suche.suub.uni-bremen.de/peid=ieee-8690676&Exemplar=1&LAN=DE A1 Feng, Guanyuan A1 Ma, Lin A1 Tan, Xuezhi YR 2018 SN 2577-2465 K1 Estimation K1 Cameras K1 Visualization K1 Three-dimensional displays K1 Visual databases K1 Solid modeling K1 monocular localization K1 pre-constructed dense 3D map K1 line models K1 drift estimation SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/VTCFall.2018.8690676 DO https://doi.org/10.1109/VTCFall.2018.8690676 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)