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
EVEN: An Event-Based Framework for Monocular Depth Estimati..:
, In:
2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)
,
Shi, Peilun
;
Peng, Jiachuan
;
Qiu, Jianing
... - p. 1-7 , 2023
Link:
https://doi.org/10.1109/ROBIO58561.2023.10354658
RT T1
2023 IEEE International Conference on Robotics and Biomimetics (ROBIO)
: T1
EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions
UL https://suche.suub.uni-bremen.de/peid=ieee-10354658&Exemplar=1&LAN=DE A1 Shi, Peilun A1 Peng, Jiachuan A1 Qiu, Jianing A1 Ju, Xinwei A1 Po Wen Lo, Frank A1 Lo, Benny YR 2023 K1 Image color analysis K1 Roads K1 Robot vision systems K1 Estimation K1 Cameras K1 High dynamic range K1 Streams SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/ROBIO58561.2023.10354658 DO https://doi.org/10.1109/ROBIO58561.2023.10354658 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)