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
Edge Based Obstacle Detection Model for Outdoor Type Obstac..:
, In:
2019 International UNIMAS STEM 12th Engineering Conference (EnCon)
,
Za'aba, Khairul Azim Bin
;
Theng, Lau Bee
- p. 28-33 , 2019
Link:
https://doi.org/10.1109/EnCon.2019.8861265
RT T1
2019 International UNIMAS STEM 12th Engineering Conference (EnCon)
: T1
Edge Based Obstacle Detection Model for Outdoor Type Obstacles
UL https://suche.suub.uni-bremen.de/peid=ieee-8861265&Exemplar=1&LAN=DE A1 Za'aba, Khairul Azim Bin A1 Theng, Lau Bee YR 2019 K1 Image edge detection K1 Mobile handsets K1 Lighting K1 Cameras K1 Adaptation models K1 Real-time systems K1 Sensitivity K1 Optical imaging K1 visual impairment K1 obstacle detection K1 android K1 monocular camera SP 28 OP 33 LK http://dx.doi.org/https://doi.org/10.1109/EnCon.2019.8861265 DO https://doi.org/10.1109/EnCon.2019.8861265 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)