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
Multimodal Pedestrian Trajectory Prediction Using Probabili..:
Chen, Weihuang
;
Yang, Zhigang
;
Xue, Lingyang
...
IEEE Transactions on Circuits and Systems for Video Technology. 33 (2023) 6 - p. 2877-2891 , 2023
Link:
https://doi.org/10.1109/tcsvt.2022.3229694
RT Journal T1 <Title>Multimodal Pedestrian Trajectory Prediction Using Probabilistic Proposal Network</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tcsvt.2022.3229694&Exemplar=1&LAN=DE A1 Chen, Weihuang A1 Yang, Zhigang A1 Xue, Lingyang A1 Duan, Jinghai A1 Sun, Hongbin A1 Zheng, Nanning PB Institute of Electrical and Electronics Engineers (IEEE) YR 2023 SN 1051-8215 SN 1558-2205 JF IEEE Transactions on Circuits and Systems for Video Technology VO 33 IS 6 SP 2877 OP 2891 LK http://dx.doi.org/https://doi.org/10.1109/tcsvt.2022.3229694 DO https://doi.org/10.1109/tcsvt.2022.3229694 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
