bibtype A - Abstract
ARLID 0333897
utime 20240111140730.6
mtime 20091218235959.9
title (primary) (eng) Vehicle attitude estimation with the aid of GPS/INS data
specification
page_count 1 s.
media_type www
serial
title Abstract of Contributions to 5th International Workshop on Data-Algorithms-Decision Making
page_num 18-18
publisher
place Praha
name ÚTIA AVČR v.v.i
year 2009
editor
name1 Janžura
name2 M.
editor
name1 Ivánek
name2 J.
title (cze) Odhad polohy vozidla při využití dat z GPS/INS
keyword vehicle attitude
keyword state model
keyword smoothing
keyword Kalman filtering
author (primary)
ARLID cav_un_auth*0101175
name1 Pavelková
name2 Lenka
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101167
name1 Nagy
name2 Ivan
institution UTIA-B
full_dept Department of Signal Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2009/AS/pavelkova-vehicle attitude estimation with the aid of gps-ins data.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
ARLID cav_un_auth*0001814
research CEZ:AV0Z10750506
abstract (eng) The attitude of a moving vehicle is determined by means of global positioning system (GPS) but the data set is incomplete. We aim to estimate the attitude within the GPS data fallouts. For this purpose, we can use an information from the inertial navigation system (INS) that includes a complete noisy information about vehicle velocity, yaw rate and acceleration. We focus on the off-line attitude estimation. We construct a state model describing the vehicle motion. It exploits a dependency among the vehicle attitude, velocity and acceleration. The estimation algorithm is based on the Kalman filtering and smoothing.
abstract (cze) Poloha jedoucího vozidla je určována pomocí globálního polohového systému (GPS), ale tato data jsou nekompletní. Pro určení polohy během výpadku signálu z GPS máme k dispozici informaci z inerciálního navigačního systému (INS), která obsahuje údaje o rychlosti a zrychlení vozidla a stáčivé rychlosti. Zaměřujeme se na off-line odhad. Stavový model popisující pohyb vozidla využívá vztahů z kinematiky. Použitý odhadovací algoritmus je založen na Kalmanovské filtraci a vyhlazování.
action
ARLID cav_un_auth*0256640
name 5th International Workshop on Data-Algorithms-Decision Making
place Plzeň
dates 29.11.2009-01.12.2009
country CZ
reportyear 2010
RIV BC
mrcbC52 4 O 4o 20231122133854.0
permalink http://hdl.handle.net/11104/0178772
arlyear 2009
mrcbTft \nSoubory v repozitáři: 0333897.pdf
mrcbU56 pdf
mrcbU63 Abstract of Contributions to 5th International Workshop on Data-Algorithms-Decision Making 18 18 Abstract of Contributions to 5th International Workshop on Data-Algorithms-Decision Making Praha ÚTIA AVČR v.v.i 2009
mrcbU67 Janžura M. 340
mrcbU67 Ivánek J. 340