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
Robust Indoor Target Tracking Based on Track Matching:
, In:
2021 CIE International Conference on Radar (Radar)
,
Li, Huquan
;
Xu, Zhenchang
;
Zhang, Yang
... - p. 3023-3026 , 2021
Link:
https://doi.org/10.1109/Radar53847.2021.10028444
RT T1
2021 CIE International Conference on Radar (Radar)
: T1
Robust Indoor Target Tracking Based on Track Matching
UL https://suche.suub.uni-bremen.de/peid=ieee-10028444&Exemplar=1&LAN=DE A1 Li, Huquan A1 Xu, Zhenchang A1 Zhang, Yang A1 Guo, Shisheng A1 Cui, Guolong A1 Kong, Lingjiang YR 2021 SN 2640-7736 K1 Matched filters K1 Target tracking K1 Heuristic algorithms K1 Buildings K1 Radar K1 Radar tracking K1 Data models K1 indoor target tracking K1 track matching K1 Hankel matrix completion SP 3023 OP 3026 LK http://dx.doi.org/https://doi.org/10.1109/Radar53847.2021.10028444 DO https://doi.org/10.1109/Radar53847.2021.10028444 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)