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
OrcVIO: Object residual constrained Visual-Inertial Odometr:
, In:
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
,
Shan, Mo
;
Feng, Qiaojun
;
Atanasov, Nikolay
- p. 5104-5111 , 2020
Link:
https://doi.org/10.1109/IROS45743.2020.9341660
RT T1
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
: T1
OrcVIO: Object residual constrained Visual-Inertial Odometry
UL https://suche.suub.uni-bremen.de/peid=ieee-9341660&Exemplar=1&LAN=DE A1 Shan, Mo A1 Feng, Qiaojun A1 Atanasov, Nikolay YR 2020 SN 2153-0866 K1 Simultaneous localization and mapping K1 Shape K1 Semantics K1 Estimation K1 Trajectory K1 Task analysis K1 Optimization SP 5104 OP 5111 LK http://dx.doi.org/https://doi.org/10.1109/IROS45743.2020.9341660 DO https://doi.org/10.1109/IROS45743.2020.9341660 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)