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Description
  • 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.
  • 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. (en)
Title
  • Vehicle position estimation using GPS/CAN data based on nonlinear programming
  • Vehicle position estimation using GPS/CAN data based on nonlinear programming (en)
skos:prefLabel
  • Vehicle position estimation using GPS/CAN data based on nonlinear programming
  • Vehicle position estimation using GPS/CAN data based on nonlinear programming (en)
skos:notation
  • RIV/67985556:_____/11:00361020!RIV12-AV0-67985556
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), P(GA102/08/0567), Z(AV0Z10750506)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 238104
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/11:00361020
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • nonlinear state-space model; state filtering; incomplete data; bounded noise; vehicle position estimation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [DBBE31E0E1F2]
http://linked.open...v/mistoKonaniAkce
  • Cambridge
http://linked.open...i/riv/mistoVydani
  • Cambridge
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 13th IASTED International Conference on Intelligent Systems and Control
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pavelková, Lenka
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IASTED
https://schema.org/isbn
  • 978-0-88986-889-2
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