Vehicle sideslip is an important input parameter that can be used to improve vehicle stability control. The sideslip angle is seen as a measure of vehicle lateral stability. This paper presents an inexpensive sideslip angle measurement algorithm which incorporates direct measurements and a kinematics-based model for sideslip estimation. The estimation algorithm uses Digital Image Correlation (DIC), to directly measure sideslip with a real-time sparse optical flow algorithm, and an Unscented Kalman Filter (UKF) to remove drift from the kinematics-based estimator. The method smooths the direct measurements from the DIC and other sensors while being independent of vehicle geometry.
Sideslip Angle Estimation Using a Kinematics Based Unscented Kalman Filter and Digital Image Correlation
Lect.Notes Mechanical Engineering
The IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks ; 2019 ; Gothenburg, Sweden August 12, 2019 - August 16, 2019
2020-02-13
8 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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