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
Forward-Looking Sonar CNN-based Automatic Target Recognitio..:
, In:
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043)
,
Zacchini, Leonardo
;
Franchi, Matteo
;
Manzari, Vincenzo
... - p. 1-6 , 2020
Link:
https://doi.org/10.1109/AUV50043.2020.9267902
RT T1
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043)
: T1
Forward-Looking Sonar CNN-based Automatic Target Recognition: an experimental campaign with FeelHippo AUV
UL https://suche.suub.uni-bremen.de/peid=ieee-9267902&Exemplar=1&LAN=DE A1 Zacchini, Leonardo A1 Franchi, Matteo A1 Manzari, Vincenzo A1 Pagliai, Marco A1 Secciani, Nicola A1 Topini, Alberto A1 Stifani, Mirko A1 Ridolfi, Alessandro YR 2020 SN 2377-6536 K1 Task analysis K1 Sonar K1 Feature extraction K1 Training K1 Target recognition K1 Optical sensors K1 Optical imaging K1 Marine Robotics K1 Artificial Intelligence K1 Automatic Target Recognition K1 Autonomous Underwater Vehicles K1 Convolutional Neural Networks K1 Intelligent Robotics SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/AUV50043.2020.9267902 DO https://doi.org/10.1109/AUV50043.2020.9267902 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)