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
Indoor Object Distance Measurement for Robots Based on YOLO..:
, In:
2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
,
Yin, Maoliang
;
Zhang, Qiao
;
Bi, Wenfu
... - p. 84-88 , 2023
Link:
https://doi.org/10.1109/CYBER59472.2023.10256561
RT T1
2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
: T1
Indoor Object Distance Measurement for Robots Based on YOLO and Depth Foreground Prediction
UL https://suche.suub.uni-bremen.de/peid=ieee-10256561&Exemplar=1&LAN=DE A1 Yin, Maoliang A1 Zhang, Qiao A1 Bi, Wenfu A1 Zhang, Mengyang A1 Zhang, Ying A1 Hua, Changchun YR 2023 SN 2642-6633 K1 Robot vision systems K1 Object detection K1 Prediction methods K1 Prediction algorithms K1 Cameras K1 Sampling methods K1 Distance measurement SP 84 OP 88 LK http://dx.doi.org/https://doi.org/10.1109/CYBER59472.2023.10256561 DO https://doi.org/10.1109/CYBER59472.2023.10256561 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)