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
Enhanced Normalized Mutual Information for Localization in ..:
, In:
2020 IEEE Applied Signal Processing Conference (ASPCON)
,
Todd Flanagan, Samuel
;
Khublani, Drupad K.
;
Chamberland, J. -F.
.. - p. 178-182 , 2020
Link:
https://doi.org/10.1109/ASPCON49795.2020.9276658
RT T1
2020 IEEE Applied Signal Processing Conference (ASPCON)
: T1
Enhanced Normalized Mutual Information for Localization in Noisy Environments
UL https://suche.suub.uni-bremen.de/peid=ieee-9276658&Exemplar=1&LAN=DE A1 Todd Flanagan, Samuel A1 Khublani, Drupad K. A1 Chamberland, J. -F. A1 Agarwal, Siddharth A1 Vora, Ankit YR 2020 K1 Cameras K1 Roads K1 Signal processing K1 Sensors K1 Autonomous vehicles K1 Signal to noise ratio K1 Signal processing algorithms K1 localization K1 normalized mutual information SP 178 OP 182 LK http://dx.doi.org/https://doi.org/10.1109/ASPCON49795.2020.9276658 DO https://doi.org/10.1109/ASPCON49795.2020.9276658 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)