STATISTICAL VISUALIZATIONS AND ANOMALY DETECTION FOR VEHICLE CALIBRATION SETS

    公开(公告)号:US20250123348A1

    公开(公告)日:2025-04-17

    申请号:US18485840

    申请日:2023-10-12

    Abstract: A method for detecting anomalies in vehicle calibrations sets includes receiving a plurality of vehicle calibration sets, each vehicle calibration set including corresponding vehicle parameters, calculating, for each vehicle parameter of each vehicle calibration set, an anomaly score, detecting an anomaly associated with at least one vehicle parameter of a vehicle calibration set of the plurality of vehicle calibration sets based on the anomaly score for the vehicle parameter and a defined threshold, in response to detecting the anomaly, modifying the vehicle parameter of the vehicle calibration set, and transmitting the vehicle calibration set including the modified vehicle parameter to a vehicle control module associated with a vehicle for controlling at least one component of the vehicle. Other example methods and systems for detecting anomalies in vehicle calibrations sets are also disclosed.

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