METHOD AND APPARATUS FOR STATE OF HEALTH ESTIMATION OF OBJECT SENSING FUSION SYSTEM
    1.
    发明申请
    METHOD AND APPARATUS FOR STATE OF HEALTH ESTIMATION OF OBJECT SENSING FUSION SYSTEM 有权
    对象感应融合系统健康状况估算方法与装置

    公开(公告)号:US20140142800A1

    公开(公告)日:2014-05-22

    申请号:US13679849

    申请日:2012-11-16

    Abstract: A method and system for estimating the state of health of an object sensing fusion system. Target data from a vision system and a radar system, which are used by an object sensing fusion system, are also stored in a context queue. The context queue maintains the vision and radar target data for a sequence of many frames covering a sliding window of time. The target data from the context queue are used to compute matching scores, which are indicative of how well vision targets correlate with radar targets, and vice versa. The matching scores are computed within individual frames of vision and radar data, and across a sequence of multiple frames. The matching scores are used to assess the state of health of the object sensing fusion system. If the fusion system state of health is below a certain threshold, one or more faulty sensors are identified.

    Abstract translation: 一种用于估计物体感测融合系统的健康状况的方法和系统。 由对象感测融合系统使用的来自视觉系统和雷达系统的目标数据也存储在上下文队列中。 上下文队列维护覆盖时间滑动窗口的许多帧的序列的视觉和雷达目标数据。 来自上下文队列的目标数据用于计算匹配分数,这表示视觉目标与雷达目标相关的程度如何,反之亦然。 匹配得分是在单独的视觉和雷达数据帧内以及跨多个帧的序列计算的。 匹配分数用于评估物体感知融合系统的健康状况。 如果融合系统的健康状况低于某个阈值,则识别出一个或多个故障传感器。

    FAULT ISOLATION AND MITIGATION UPON LANE MARKING MISDETECTION ON ROADWAYS

    公开(公告)号:US20230192103A1

    公开(公告)日:2023-06-22

    申请号:US17557156

    申请日:2021-12-21

    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.

    VEHICLE FAULT DIAGNOSTICS AND PROGNOSTICS USING AUTOMATIC DATA SEGMENTATION AND TRENDING

    公开(公告)号:US20220222981A1

    公开(公告)日:2022-07-14

    申请号:US17148643

    申请日:2021-01-14

    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.

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