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
Nonlinear Pedestrian Tracking by Unscented Particle Filter ..:
, In:
2023 23rd International Conference on Control, Automation and Systems (ICCAS)
,
Yang, Jin Ho
;
Seo, Ju Won
;
Chung, Chung Choo
- p. 1112-1118 , 2023
Link:
https://doi.org/10.23919/ICCAS59377.2023.10316894
RT T1 <cTitle>2023 23rd International Conference on Control, Automation and Systems (ICCAS)</cTitle>: T1 <Title>Nonlinear Pedestrian Tracking by Unscented Particle Filter for Autonomous Vehicle Under Existence of Non-Gaussian Distributed Uncertainty</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10316894&Exemplar=1&LAN=DE A1 Yang, Jin Ho A1 Seo, Ju Won A1 Chung, Chung Choo YR 2023 SN 2642-3901 K1 Pedestrians K1 Uncertainty K1 Measurement uncertainty K1 Nonlinear filters K1 Sensor phenomena and characterization K1 Particle measurements K1 Particle filters K1 Autonomous vehicle K1 Pedestrian perception K1 Object tracking K1 Nonlinear state estimation K1 Unscented particle filter K1 Non-Gaussian uncertainty SP 1112 OP 1118 LK http://dx.doi.org/https://doi.org/10.23919/ICCAS59377.2023.10316894 DO https://doi.org/10.23919/ICCAS59377.2023.10316894 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
