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
Learning an Overlap-based Observation Model for 3D LiDAR Lo..:
, In:
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
,
Chen, Xieyuanli
;
Labe, Thomas
;
Nardi, Lorenzo
.. - p. 4602-4608 , 2020
Link:
https://doi.org/10.1109/IROS45743.2020.9340769
RT T1
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
: T1
Learning an Overlap-based Observation Model for 3D LiDAR Localization
UL https://suche.suub.uni-bremen.de/peid=ieee-9340769&Exemplar=1&LAN=DE A1 Chen, Xieyuanli A1 Labe, Thomas A1 Nardi, Lorenzo A1 Behley, Jens A1 Stachniss, Cyrill YR 2020 SN 2153-0866 K1 Location awareness K1 Solid modeling K1 Laser radar K1 Three-dimensional displays K1 Monte Carlo methods K1 Computational modeling K1 Robot sensing systems SP 4602 OP 4608 LK http://dx.doi.org/https://doi.org/10.1109/IROS45743.2020.9340769 DO https://doi.org/10.1109/IROS45743.2020.9340769 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)