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
Reconstruct from Top View: A 3D Lane Detection Approach bas..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
,
Li, Chenguang
;
Shi, Jia
;
Wang, Ya
. - p. 4369-4378 , 2022
Link:
https://doi.org/10.1109/CVPRW56347.2022.00483
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</cTitle>: T1 <Title>Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure Prior</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9857364&Exemplar=1&LAN=DE A1 Li, Chenguang A1 Shi, Jia A1 Wang, Ya A1 Cheng, Guangliang YR 2022 SN 2160-7516 K1 Geometry K1 Image segmentation K1 Three-dimensional displays K1 Lane detection K1 Pipelines K1 Training data K1 Feature extraction SP 4369 OP 4378 LK http://dx.doi.org/https://doi.org/10.1109/CVPRW56347.2022.00483 DO https://doi.org/10.1109/CVPRW56347.2022.00483 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
