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公开(公告)号:US06300866B1
公开(公告)日:2001-10-09
申请号:US09443458
申请日:1999-11-19
申请人: Petra Foith , Peter Bachmaier , Michael Holzner , Martin Peller , Andreas Kuhn
发明人: Petra Foith , Peter Bachmaier , Michael Holzner , Martin Peller , Andreas Kuhn
IPC分类号: B60Q100
CPC分类号: B60R21/01338 , B60R21/0132
摘要: A method is provided for determining the severity and pattern of a vehicle collision. A plurality of crash sensors are located in various points in the vehicle. Output signals from the crash sensors are fed to an evaluation unit. The output signals of the crash sensors are related to a system of coordinates that is invariable relative to the vehicle. Information about the movement of the sensor locations and the system of coordinates is obtained from the output signals.
摘要翻译: 提供了一种用于确定车辆碰撞的严重性和模式的方法。 多个碰撞传感器位于车辆的各个点上。 来自碰撞传感器的输出信号被馈送到评估单元。 碰撞传感器的输出信号与相对于车辆不变的坐标系相关。 从输出信号获得关于传感器位置的运动和坐标系的信息。
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公开(公告)号:US06600984B1
公开(公告)日:2003-07-29
申请号:US09856698
申请日:2001-08-17
申请人: Michael Holzner , Andreas Kuhn
发明人: Michael Holzner , Andreas Kuhn
IPC分类号: B60R2132
CPC分类号: B60R21/0132 , B60R21/0133 , B60R2021/01034
摘要: Like in a conventional crash detection algorithm, a crash is detected if a threshold value of an acceleration or an integrated acceleration is exceeded. Various characteristic values for characterizing the sensor signal paths are collected and supplied to the neural network. Said neural network returns the characteristic values for the seriousness of the crash, thereby facilitating the various retention systems to reaction individually. The invention provides a method for reliably, simply and quickly making statements regarding the seriousness and the course of a motor vehicle crash and for controlling occupant protection systems according to demand.
摘要翻译: 像传统的碰撞检测算法一样,如果超过了加速度或积分加速度的阈值,则会检测到碰撞。 用于表征传感器信号路径的各种特征值被收集并提供给神经网络。 所述神经网络返回了碰撞严重性的特征值,从而促使各种保留系统单独反应。 本发明提供了一种可靠,简单,快速地发出关于机动车辆碰撞的严重性和过程以及根据需要控制乘员保护系统的陈述的方法。
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