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公开(公告)号:US20240355153A1
公开(公告)日:2024-10-24
申请号:US18138314
申请日:2023-04-24
发明人: Shreshta Rajakumar Deshpande , Ala Eddine Omrani , Hassene Jammoussi , Michael George Lysenko , Daniel Slavin
CPC分类号: G07C5/0808 , G07C5/008 , G07C5/0841
摘要: A method of identifying parametric outliers associated with vehicle pull/drift compensation may include receiving fleet data from a plurality of vehicles, the fleet data including pull/drift steering data associated with the plurality of vehicles, processing the pull/drift steering data to generate cleaned pull/drift steering data, and employing a machine learning module to define, for each of a plurality of respective different vehicle classifications, an outlier threshold for comparison to the cleaned pull/drift steering data to identify parametric outliers, and to identify the parametric outliers within each vehicle classification based on the comparison.