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    • 1. 发明申请
    • Active adaptation of vehicle restraints for enhanced performance robustness
    • 主动适应车辆限制,提高性能鲁棒性
    • US20060052924A1
    • 2006-03-09
    • US10935926
    • 2004-09-08
    • Kwaku Prakah-AsanteManoharprasad RaoGary Strumolo
    • Kwaku Prakah-AsanteManoharprasad RaoGary Strumolo
    • B60R21/32
    • B60R21/0134B60R2021/0002B60R2021/003
    • A vehicle crash safety system includes a pre-crash sensing system generating an object threat assessment and vehicle dynamics data, an occupant sensing system generating occupant characteristic data, and an Occupant Safety Reference Model (OSRM) controller for generating a reference safety restraint deployment profile as a function of the object threat assessment, vehicle dynamics data and occupant characteristic data. An active restraint adaptation (ARA) controller in operative communication with the OSRM controller and a decentralized restraint controller. The ARA controller sends restraint deployment targets, and the safety restraint deployment profile to the decentralized restraint controller. The ARA controller may modify input signals to the decentralized controller based on the real-time occupant position trajectory. The decentralized restraint controller is adapted to operate the restraint system as a function of signals from the ARA controller and real-time occupant-restraint system interactions.
    • 车辆碰撞安全系统包括产生对象威胁评估和车辆动力学数据的预碰撞感测系统,产生乘员特征数据的乘员感知系统以及乘员安全参考模型(OSRM)控制器,用于生成参考安全约束部署简档作为 对象威胁评估,车辆动力学数据和乘员特征数据的功能。 与OSRM控制器和分散式约束控制器可操作通信的主动约束适配(ARA)控制器。 ARA控制器向分散式约束控制器发送约束部署目标和安全约束部署配置文件。 ARA控制器可以基于实时乘员位置轨迹来修改分散控制器的输入信号。 分散式约束控制器适用于作为来自ARA控制器的信号和实时乘员约束系统相互作用的功能来操作约束系统。
    • 9. 发明申请
    • SYSTEM AND METHOD FOR DETECTING PRESENCE OF A HUMAN IN A VEHICLE
    • 用于检测车辆中的人的存在的系统和方法
    • US20060089753A1
    • 2006-04-27
    • US10904124
    • 2004-10-25
    • Charles EagenLee FeldkampSam EbensteinKwaku Prakah-AsanteYelena RodinGreg Smith
    • Charles EagenLee FeldkampSam EbensteinKwaku Prakah-AsanteYelena RodinGreg Smith
    • G06F17/00
    • B60R25/1004G08B13/1663
    • A system for detecting the presence of a human in a vehicle is provided. The system includes a vibration sensor that is configured to detect vibrations of the vehicle, and to output signals related to the sensed vibrations. A processor is configured to receive the signals output from the vibration sensor. The processor also operates a neural network that has a plurality of nodes, at least some of which are recurrent. The use of the recurrent nodes allows the output of a recurrent node to be fed back into itself, or another node. In addition, the output that is fed back can be combined with other inputs entering the node. In this way, the neural network can quickly learn to distinguish between various conditions, including an occupied state and an unoccupied state of the vehicle. The neural network provides an output indicating whether the vehicle is occupied.
    • 提供一种用于检测车辆中人的存在的系统。 该系统包括被配置为检测车辆的振动并输出与感测到的振动有关的信号的振动传感器。 处理器被配置为接收从振动传感器输出的信号。 处理器还操作具有多个节点的神经网络,其中至少一些节点是循环的。 使用循环节点允许将循环节点的输出反馈到其自身或另一个节点。 此外,反馈的输出可以与进入节点的其他输入进行组合。 以这种方式,神经网络可以快速学习区分包括占用状态和车辆未占用状态的各种状况。 神经网络提供指示车辆是否被占用的输出。