公开(公告)号：US20220222981A1

公开(公告)日：2022-07-14

申请号：US17148643

申请日：2021-01-14

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Xinyu DU ,  Zhongyu YANG ,  Joshua J. SANCHEZ ,  Kevin M. CORR ,  Yilu ZHANG ,  Mateusz M. NOWAK

IPC: G07C5/08

Abstract: A controller processes data from one or more sensors of a subsystem of a vehicle. The processing includes smoothing the data and calculating a mean of the data. The controller identifies a transition point in the processed data where a moving average of the data is less than the mean by a predetermined amount indicating a trend. The controller selects a segment of the processed data subsequent to the transition point, detects the trend in the segment using regression, and extrapolates the detected trend to reach a predetermined fault threshold. The controller predicts a failure of the subsystem based on a slope of the extrapolated trend and provides an indication of the prediction based on the slope to schedule a service for the subsystem.

公开(公告)号：US20230192103A1

公开(公告)日：2023-06-22

申请号：US17557156

申请日：2021-12-21

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Wen-Chiao LIN ,  Zhongyu YANG ,  Yao HU ,  Xinyu DU ,  Yilu ZHANG

IPC: B60W50/02 ,  B60W30/12

CPC classification number: B60W50/02 ,  B60W30/12 ,  B60W2050/0072

Abstract: A system for a vehicle includes a plurality of sensors onboard the vehicle and a controller. A first sensor of the plurality of sensors is configured to detect lane markings on a roadway. The controller is configured to store data from the plurality of sensors. In response to receiving an indication indicating a misdetection of lane markings on the roadway based on data received from the first sensor, the controller is configured to execute in parallel a plurality of procedures configured to detect a plurality of causes for the misdetection of lane markings, respectively, based on the stored data; isolate one of the causes as a root cause for the misdetection of lane markings; and provide a response for mitigating the misdetection of lane markings on the roadway based on the root cause for the misdetection of lane markings.