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    • 1. 发明授权
    • Vehicle rollover detection method
    • 车辆翻转检测方法
    • US07403848B2
    • 2008-07-22
    • US10919162
    • 2004-08-16
    • Peter J. SchubertChad M. Aeschliman
    • Peter J. SchubertChad M. Aeschliman
    • G05D1/00
    • B60R21/0132B60R2021/0018B60R2021/01327
    • Impending rollover events are detected based on vehicle roll rate, roll angle and lateral acceleration, and an assessment of the relative polarities of vehicle roll rate and lateral acceleration. When the vehicle roll rate and lateral acceleration are opposite in polarity, the roll rate vs. roll angle thresholds used to distinguish between rollover events and non-rollover events are more sensitive than for conditions for which the vehicle roll rate and lateral acceleration are of the same polarity. Additionally, the roll rate vs. roll angle thresholds are adaptively modified based on roll angle and lateral acceleration to provide increased detection sensitivity under conditions that typically precede a rollover event, and reduced detection sensitivity under conditions for which a rollover event is unlikely.
    • 根据车辆滚动速度,滚动角度和横向加速度检测到碰撞事件,以及评估车辆滚动速率和横向加速度的相对极性。 当车辆滚动速率和横向加速度极性相反时,用于区分翻转事件和非翻转事件的滚转速率对滚动角度阈值比对于车辆滚动速率和横向加速度为 相同的极性。 另外,基于滚动角度和横向加速度自适应地修改滚动速率对滚动角度阈值,以在通常在翻滚事件之前的条件下提供增加的检测灵敏度,并且在不可能的翻滚事件的条件下降低检测灵敏度。
    • 2. 发明授权
    • Multiple algorithm event discrimination method
    • 多算法事件判别方法
    • US07269483B2
    • 2007-09-11
    • US10921722
    • 2004-08-19
    • Peter J. SchubertChad M. AeschlimanBenjamin C. Wiles
    • Peter J. SchubertChad M. AeschlimanBenjamin C. Wiles
    • B60R21/00G06F17/00
    • G05B23/024G05B23/0281
    • An event discrimination methodology executes multiple versions of the same or different event discrimination algorithms and logically or arithmetically combines their outputs to distinguish between specified events and non-events. One given algorithm is repeatedly executed with different sets of calibration data, or alternately, a number of different algorithms are executed. In cases where the algorithm results are arithmetically combined, the weights accorded to each algorithm result are dynamically adjusted based on driver input or vehicle dynamic behavior data to accord highest weight to the algorithm(s) calibrated to identify events associated with the detected driver input or vehicle dynamic behavior.
    • 事件辨别方法执行相同或不同事件识别算法的多个版本,并在逻辑上或算术上组合其输出以区分指定的事件和非事件。 使用不同的校准数据集重复执行一个给定的算法,或者替代地,执行多个不同的算法。 在算法结果被算术组合的情况下,根据驱动器输入或车辆动态行为数据动态地调整与每个算法结果相符的权重,以对被校准的用于识别与检测到的驾驶员输入相关联的事件的算法赋予最大权重,或者 车辆动态行为。