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- W3135944774 abstract "Training and test data for vehicle state estimator optimization and validation are included as MATLAB-files. The data was captured with the all-wheel drive electric vehicle “BugEE” of the Otto-von-Guericke-University Magdeburg and IKAM GmbH during different severe driving maneuvers on wet and dry road surfaces.Training data contains: Acceleration on wet road surface, slalom on wet road surface, steady state circular driving on dry road surface.Test data contains: Acceleration and emergency evasion on wet road surface, steady-state circular driving and slalom on dry road surface. Furthermore, results shown in “Optimization-Based Tuning of a Hybrid UKF State Estimator with Tire Model Adaption for an All Wheel Drive Electric Vehicle” are included." @default.
- W3135944774 created "2021-03-29" @default.
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- W3135944774 date "2021-01-01" @default.
- W3135944774 modified "2023-09-27" @default.
- W3135944774 title "Supplementary data for “Optimization-Based Tuning of a Hybrid UKF State Estimator with Tire Model Adaption for an All Wheel Drive Electric Vehicle”" @default.
- W3135944774 doi "https://doi.org/10.24352/ub.ovgu-2021-044" @default.
- W3135944774 hasPublicationYear "2021" @default.
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