An adaptive UKF algorithm and its application for vehicle integrated navigation system
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Year
: 2014DOI: 10.1109/ICMLA.2014.58
Keyword(s): Adaptation models,Approximation error,Computational modeling,Feature extraction,Motion segmentation,Surveillance,abnormal event detection,adaptive learning,low-rank approximation
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An adaptive UKF algorithm and its application for vehicle integrated navigation system
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date accessioned | 2020-03-12T23:31:09Z | |
date available | 2020-03-12T23:31:09Z | |
date issued | 2014 | |
identifier other | 6896727.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1114555?locale-attribute=en | |
format | general | |
language | English | |
publisher | IEEE | |
title | An adaptive UKF algorithm and its application for vehicle integrated navigation system | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8283868 | |
subject keywords | Adaptation models | |
subject keywords | Approximation error | |
subject keywords | Computational modeling | |
subject keywords | Feature extraction | |
subject keywords | Motion segmentation | |
subject keywords | Surveillance | |
subject keywords | abnormal event detection | |
subject keywords | adaptive learning | |
subject keywords | low-rank approximation | |
identifier doi | 10.1109/ICMLA.2014.58 | |
journal title | ontrol Conference (CCC), 2014 33rd Chinese | |
filesize | 417242 | |
citations | 0 | |
contributor rawauthor | Wu Xiao-yan , Song Chun-lei , Chen Jia-bin , Han Yong-qiang |