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
UGV Direction Control by Human Arm Gesture Recognition via ..:
, In:
2019 Chinese Control Conference (CCC)
,
Chen, Xiaotian
;
Dong, Xiaonan
;
Zeng, Wei
.. - p. 7688-7693 , 2019
Link:
https://doi.org/10.23919/ChiCC.2019.8865788
RT T1
2019 Chinese Control Conference (CCC)
: T1
UGV Direction Control by Human Arm Gesture Recognition via Deterministic Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-8865788&Exemplar=1&LAN=DE A1 Chen, Xiaotian A1 Dong, Xiaonan A1 Zeng, Wei A1 Yuan, Chengzhi A1 Stegagno, Paolo YR 2019 SN 1934-1768 K1 Artificial neural networks K1 Robots K1 Gesture recognition K1 Training K1 Dynamics K1 Vehicle dynamics K1 Human gesture recognition K1 Deterministic learning K1 Human-robot interaction K1 Microsoft Kinect SP 7688 OP 7693 LK http://dx.doi.org/https://doi.org/10.23919/ChiCC.2019.8865788 DO https://doi.org/10.23919/ChiCC.2019.8865788 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)