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
Real-time on-board pedestrian detection using generic singl..:
Ortiz Castelló, Vicent
;
del Tejo Catalá, Omar
;
Salvador Igual, Ismael
.
International Journal of Advanced Robotic Systems. 17 (2020) 5 - p. 172988142092917 , 2020
Link:
https://doi.org/10.1177/1729881420929175
RT Journal T1
Real-time on-board pedestrian detection using generic single-stage algorithms and on-road databases
UL https://suche.suub.uni-bremen.de/peid=cr-10.1177_1729881420929175&Exemplar=1&LAN=DE A1 Ortiz Castelló, Vicent A1 del Tejo Catalá, Omar A1 Salvador Igual, Ismael A1 Perez-Cortes, Juan-Carlos PB SAGE Publications YR 2020 SN 1729-8814 SN 1729-8814 JF International Journal of Advanced Robotic Systems VO 17 IS 5 SP 172988142092917 LK http://dx.doi.org/https://doi.org/10.1177/1729881420929175 DO https://doi.org/10.1177/1729881420929175 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)