Design of a tracking filter suitable for 2D motion dynamics of an off-road target

Kangwagye Samuel, Jae Weon Choi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Two linear Kalman filters arranged in series with each other which are used to estimate the system states, with the first filter for turn rate and the second one for target states for an off-road vehicle with unpredicted maneuvers is proposed. A Coordinated Turn model with unknown turn rate is used as a system dynamic equation. The root mean square error for all the estimates is small which indicates accurate and reliable results. This algorithm can more accurately track unpredicted target maneuvers with minimized errors. In this paper, the state of tracked object consists both of its longitudinal and lateral positions, and velocities. The turn rate which is also an unknown parameter is estimated.

Original languageEnglish
Title of host publicationICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings
PublisherIEEE Computer Society
Pages379-382
Number of pages4
ISBN (Electronic)9788993215137
DOIs
StatePublished - 13 Dec 2017
Externally publishedYes
Event17th International Conference on Control, Automation and Systems, ICCAS 2017 - Jeju, Korea, Republic of
Duration: 18 Oct 201721 Oct 2017

Publication series

NameInternational Conference on Control, Automation and Systems
Volume2017-October
ISSN (Print)1598-7833

Conference

Conference17th International Conference on Control, Automation and Systems, ICCAS 2017
Country/TerritoryKorea, Republic of
CityJeju
Period18/10/1721/10/17

Keywords

  • Coordinated Turn Model
  • Kalman Filter
  • Turn Rate

Fingerprint

Dive into the research topics of 'Design of a tracking filter suitable for 2D motion dynamics of an off-road target'. Together they form a unique fingerprint.

Cite this