Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 13th International Symposium on Advanced Vehicle Control AVEC’16 |
| Editors | Johannes Edelmann, Manfred Plochl, Peter E. Pfeffer |
| Place of Publication | Munich, Germany |
| Pages | 515-520 |
| Number of pages | 6 |
| Publication status | Published - 2017 |
| Event | 13th International Symposium on Advanced Vehicle Control, AVEC 2016 - Munich, Germany Duration: 13 Sept 2016 → 16 Sept 2016 |
Publication series
| Name | Advanced Vehicle Control AVEC’16: Proceedings of the 13th International Symposium on Advanced Vehicle Control (AVEC'16) |
|---|
Abstract
Numerous advanced driver assistance systems rely on parametric models describing the vehicle’s behavior and stability. Accurate knowledge about the vehicle’s dynamics in terms of specific states has the potential to improve these systems’ performance drastically. Since several crucial states, e.g. side slip angle, cannot be measured directly, estimation methodologies were developed. In this paper a highly nonlinear model of the vehicle’s longitudinal and lateral dynamics, containing 13 states and 8 measurements is used within an unscented Kalman Filter. The estimation results are compared to high precision measurements taken using a Genesys ADMA inertial measurement unit on a Volkswagen Golf GTE Plug-In Hybrid during three different maneuvers.
ASJC Scopus subject areas
- Engineering(all)
- Automotive Engineering
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
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Proceedings of the 13th International Symposium on Advanced Vehicle Control AVEC’16. ed. / Johannes Edelmann; Manfred Plochl; Peter E. Pfeffer. Munich, Germany, 2017. p. 515-520 (Advanced Vehicle Control AVEC’16: Proceedings of the 13th International Symposium on Advanced Vehicle Control (AVEC'16)).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Unscented kalman filter for combined longitudinal and lateral vehicle dynamics
AU - Wielitzka, M.
AU - Eicke, S.
AU - Busch, A.
AU - Dagen, M.
AU - Ortmaier, T.
N1 - Funding information: The authors would like to thank the “Bundesministerium für Wirtschaft und Energie (BMWi)”, Germany, for founding this project.
PY - 2017
Y1 - 2017
N2 - Numerous advanced driver assistance systems rely on parametric models describing the vehicle’s behavior and stability. Accurate knowledge about the vehicle’s dynamics in terms of specific states has the potential to improve these systems’ performance drastically. Since several crucial states, e.g. side slip angle, cannot be measured directly, estimation methodologies were developed. In this paper a highly nonlinear model of the vehicle’s longitudinal and lateral dynamics, containing 13 states and 8 measurements is used within an unscented Kalman Filter. The estimation results are compared to high precision measurements taken using a Genesys ADMA inertial measurement unit on a Volkswagen Golf GTE Plug-In Hybrid during three different maneuvers.
AB - Numerous advanced driver assistance systems rely on parametric models describing the vehicle’s behavior and stability. Accurate knowledge about the vehicle’s dynamics in terms of specific states has the potential to improve these systems’ performance drastically. Since several crucial states, e.g. side slip angle, cannot be measured directly, estimation methodologies were developed. In this paper a highly nonlinear model of the vehicle’s longitudinal and lateral dynamics, containing 13 states and 8 measurements is used within an unscented Kalman Filter. The estimation results are compared to high precision measurements taken using a Genesys ADMA inertial measurement unit on a Volkswagen Golf GTE Plug-In Hybrid during three different maneuvers.
UR - http://www.scopus.com/inward/record.url?scp=85017014729&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85017014729
SN - 9781315265285
T3 - Advanced Vehicle Control AVEC’16: Proceedings of the 13th International Symposium on Advanced Vehicle Control (AVEC'16)
SP - 515
EP - 520
BT - Proceedings of the 13th International Symposium on Advanced Vehicle Control AVEC’16
A2 - Edelmann, Johannes
A2 - Plochl, Manfred
A2 - Pfeffer, Peter E.
CY - Munich, Germany
T2 - 13th International Symposium on Advanced Vehicle Control, AVEC 2016
Y2 - 13 September 2016 through 16 September 2016
ER -