bibtype C - Conference Paper (international conference)
ARLID 0361020
utime 20240103195334.9
mtime 20110719235959.9
title (primary) (eng) Vehicle position estimation using GPS/CAN data based on nonlinear programming
specification
page_count 8 s.
media_type CD
serial
ARLID cav_un_epca*0361019
ISBN 978-0-88986-889-2
title Proceedings of the 13th IASTED International Conference on Intelligent Systems and Control
page_num 208-215
publisher
place Cambridge
name IASTED
year 2011
editor
name1 Whidborne
name2 J. F.
editor
name1 Willis
name2 P.
keyword nonlinear state-space model
keyword state filtering
keyword incomplete data
keyword bounded noise
keyword vehicle position estimation
author (primary)
ARLID cav_un_auth*0101175
name1 Pavelková
name2 Lenka
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2011/AS/pavelkova-vehicle position estimation using gps-can data based on nonlinear programming.pdf
cas_special
project
project_id 1M0572
agency GA MŠk
country CZ
ARLID cav_un_auth*0001814
project
project_id GA102/08/0567
agency GA ČR
ARLID cav_un_auth*0239566
research CEZ:AV0Z10750506
abstract (eng) The paper solves a problem of the estimation of the moving vehicle position. The position is measured by global position system (GPS) but outages sometimes occur in the measurements. During these outages, the actual position is estimated using data from vehicle sensors. A moving vehicle is described by a discrete-time state-space model with bounded noise. This model is constructed using kinematics laws and it can be used for arbitrary type of ground vehicle. Bayesian approach is applied to obtain position estimates. The maximum a posteriori (MAP) estimation converts to the nonlinear programming. The paper also discusses a setting of initial conditions for successful running of estimation process.
action
ARLID cav_un_auth*0273076
name 13th IASTED International Conference on Intelligent Systems and Control
place Cambridge
dates 11.07.2011-13.07.2011
country GB
reportyear 2012
RIV BC
permalink http://hdl.handle.net/11104/0198436
arlyear 2011
mrcbU63 cav_un_epca*0361019 Proceedings of the 13th IASTED International Conference on Intelligent Systems and Control 978-0-88986-889-2 208 215 Proceedings of the 13th IASTED International Conference on Intelligent Systems and Control Cambridge IASTED 2011
mrcbU67 Whidborne J. F. 340
mrcbU67 Willis P. 340