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21. 发明授权

US07472007B2 Method of classifying vehicle occupants 有权
标题翻译：车辆乘员分类方法
公开(公告)号：US07472007B2
公开(公告)日：2008-12-30
申请号：US11219233
申请日：2005-09-02
申请人： Hongzhi Kong , Qin Sun , David L. Eiche , Victor M. Nieto
发明人： Hongzhi Kong , Qin Sun , David L. Eiche , Victor M. Nieto
IPC分类号： B60R21/015
CPC分类号： B60R21/01538 , G06K9/00369
摘要： A method of classifying vehicle occupants utilizes a neural network engine having a state machine for determining if an occupant has changed preferably between an adult and adult, an adult and child, and a child and child from a pair of images. If no change has occurred, the method utilizes the prior occupant type and then decides if the occupant has changed in position. If no, the occupant is deemed static and the prior type is valid as a classification or output to preferably a vehicle restraint system. If the occupant has changed in position, a dynamic classification process is initiated by either an adult or a child dynamic classifier as dictated by the state machine. Valid dynamic classifier outputs or classifications can be sent to the restraint system and invalid dynamic classifier outputs are sent to a static classifier for update of the occupant type.
摘要翻译：对车辆乘员进行分类的方法利用具有状态机的神经网络引擎，用于确定乘客是否优选地在成人和成人，成人和儿童之间以及来自一对图像的儿童和孩子之间进行改变。如果没有发生变化，则该方法利用先前的乘员类型，然后判定乘客是否已经改变了位置。如果否，乘客被认为是静止的，并且先前类型作为优选车辆约束系统的分类或输出是有效的。如果乘员位置发生变化，动态分类过程由成员或儿童动态分类器根据状态机发出。有效的动态分类器输出或分类可以发送到约束系统，无效的动态分类器输出被发送到静态分类器以更新乘员类型。

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