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
Multi-LiDAR Localization and Mapping Pipeline for Urban Aut..:
, In:
2023 IEEE SENSORS
,
Sauerbeck, Florian
;
Kulmer, Dominik
;
Pielmeier, Markus
... - p. 1-4 , 2023
Link:
https://doi.org/10.1109/SENSORS56945.2023.10325207
RT T1
2023 IEEE SENSORS
: T1
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving
UL https://suche.suub.uni-bremen.de/peid=ieee-10325207&Exemplar=1&LAN=DE A1 Sauerbeck, Florian A1 Kulmer, Dominik A1 Pielmeier, Markus A1 Leitenstern, Maximilian A1 Weiss, Christoph A1 Betz, Johannes YR 2023 SN 2168-9229 K1 Location awareness K1 Laser radar K1 Pipelines K1 Urban areas K1 Software algorithms K1 Semantics K1 Real-time systems K1 Autonomous Vehicles K1 LiDAR K1 Maps K1 Sensor Fusion K1 SLAM SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/SENSORS56945.2023.10325207 DO https://doi.org/10.1109/SENSORS56945.2023.10325207 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)