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    • 1. 发明授权
    • Method of operation for a vision-based occupant classification system
    • 基于视觉的乘员分类系统的操作方法
    • US07308349B2
    • 2007-12-11
    • US11145708
    • 2005-06-06
    • Hongzhi KongJohn R. Bailey
    • Hongzhi KongJohn R. Bailey
    • B60R22/00E05F15/00
    • B60R21/01538G06K9/00369
    • A vision-based occupant classification method utilizes a static classification routine for achieving highly accurate occupant classification, a dynamic detection routine for quickly responding to changes in occupant position, and a category state change routine for detecting potential changes in occupant category. The static classification routine determines an initial classification of the occupant, after which the dynamic detection routine monitors for changes in occupant position and the category state change routine monitors for a potential change in occupant category. If category state change routine detects a potential change in occupant category, the static classification routine is re-executed to re-classify the occupant. The category state change routine identifies a composite optical flow vector associated with occupant movement, and detects a potential change in occupant category when the composite flow vector crosses one or more pre-defined entry/exit motion gates.
    • 基于视觉的乘员分类方法利用静态分类程序实现高精度乘客分类,用于快速响应乘员位置变化的动态检测程序,以及用于检测乘员类别潜在变化的类别状态变化例程。 静态分类程序确定乘员的初始分类,之后动态检测程序监测乘员位置的变化和类别状态变化例程监视乘员类别的潜在变化。 如果类别状态改变例程检测到乘员类别的潜在变化,则重新执行静态分类例程以对乘员进行重新分类。 类别状态变化例程识别与占用者移动相关联的复合光学流向量,并且当复合流向量与一个或多个预定义的入口/出口运动门交叉时,检测乘员类别的潜在变化。
    • 4. 发明授权
    • Confidence boost for automotive occupant classifications
    • 汽车乘员分类的置信度提升
    • US07623950B2
    • 2009-11-24
    • US11149816
    • 2005-06-09
    • Hongzhi KongWilliam A. BausonQin Sun
    • Hongzhi KongWilliam A. BausonQin Sun
    • G05D1/00
    • B60R21/01538
    • The present invention relates to systems for determining the position and the type of an occupant in a vehicle. More specifically, the present invention provides an occupant position and type classification system including an occupant detection module, a processor in communication with the occupant detection module, and memory accessible by the processor and storing program instructions executable by the processor to perform the steps of categorizing the occupant into one of a plurality of static categories, each of the static categories including at least one class indicative of the occupant's type or position in the vehicle, and classifying the occupant into one of the classes.
    • 本发明涉及用于确定车辆中的乘客的位置和类型的系统。 更具体地,本发明提供了一种乘员位置和类型分类系统,包括乘员检测模块,与乘员检测模块通信的处理器以及由处理器可访问的存储器,并且存储可由处理器执行的程序指令,以执行分类步骤 乘客进入多个静态类别中的一个,每个静态类别包括指示乘客在车辆中的类型或位置的至少一个类别,并且将乘客分类为其中一个类别。
    • 5. 发明授权
    • Method of classifying vehicle occupants
    • 车辆乘员分类方法
    • US07472007B2
    • 2008-12-30
    • US11219233
    • 2005-09-02
    • Hongzhi KongQin SunDavid L. EicheVictor M. Nieto
    • Hongzhi KongQin SunDavid L. EicheVictor M. Nieto
    • B60R21/015
    • B60R21/01538G06K9/00369
    • 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.
    • 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。
    • 6. 发明授权
    • Vision-based occupant classification method and system for controlling airbag deployment in a vehicle restraint system
    • 基于视觉的乘员分类方法和系统,用于控制车辆约束系统中的安全气囊展开
    • US07505841B2
    • 2009-03-17
    • US11218671
    • 2005-09-02
    • Qin SunHongzhi KongDavid L. EicheVictor M. Nieto
    • Qin SunHongzhi KongDavid L. EicheVictor M. Nieto
    • G06K9/46G06K9/62G06G7/00G06F7/00G06F17/00
    • G06K9/00362B60R21/01538G06K9/00832
    • A vehicle restraint system has a vision-based occupant classification system for control of airbag deployment during a crash scenario. The classification system utilizes two imaging sensors which together create a stream of paired images received and stored by an occupant classification controller. A computer program product of the controller utilizes the paired images to extract disparity/range features and stereo-vision differential edge density features. Moreover, the controller extracts wavelet features from one of the two paired images. All three features or maps are classified amongst preferably seven classifications by algorithms of the computer program product producing class confidence data fed to a sensor fusion engine of the controller for processing and output of an airbag control signal input into a restraint controller of the vehicle restraint system.
    • 车辆约束系统具有基于视觉的乘员分类系统,用于在碰撞场景期间控制气囊展开。 分类系统利用两个成像传感器,它们共同创建由乘员分类控制器接收和存储的配对图像流。 控制器的计算机程序产品利用配对图像来提取视差/范围特征和立体视差差边缘密度特征。 此外,控制器从两个配对图像之一中提取小波特征。 所有三个特征或地图通过计算机程序产品的算法被分类为优选的七个分类,所述计算机程序产品产生提供给控制器的传感器融合引擎的类别置信数据,用于处理和输出输入到车辆限制系统的约束控制器中的安全气囊控制信号 。
    • 9. 发明授权
    • Apparatus for fanning out near infrared radiation in an automotive occupant position restraint system
    • 用于在汽车乘员位置约束系统中扇出近红外辐射的装置
    • US07205527B2
    • 2007-04-17
    • US10730857
    • 2003-12-09
    • Jianhua LiHongzhi Kong
    • Jianhua LiHongzhi Kong
    • G06M7/00H01J40/14B60R21/16
    • B60R21/01534B60R21/01556G01S7/481G01S17/026G01S17/88
    • An automotive occupant position restraint apparatus senses a position of an occupant of a motor vehicle. The apparatus includes an optical energy source emitting a first beam of optical energy. A first optical arrangement is disposed in a path of the first beam of optical energy. The first optical arrangement expands the first beam of optical energy into a plurality of second beams of optical energy spanning across a first angle. A second optical arrangement is disposed in a path of the second beams of optical energy. The second optical arrangement expands the second beams of optical energy into a plurality of third beams of optical energy spanning across a second angle larger than the first angle. An optical energy receiver receives optical energy from the third beams, wherein the received optical energy has been reflected within a passenger compartment of the motor vehicle.
    • 汽车乘员位置限制装置感测机动车辆的乘员的位置。 该装置包括发射第一光能束的光能源。 第一光学布置设置在第一光束光束的路径中。 第一光学装置将第一光能束扩展成跨越第一角度的多个第二光束。 第二光学装置设置在第二光束光束的路径中。 第二光学装置将第二光能束扩展成跨越大于第一角度的第二角度的多个第三光束。 光能接收器从第三光束接收光能,其中所接收的光能已被反映在机动车辆的乘客舱内。
    • 10. 发明申请
    • Vision-based occupant classification method and system for controlling airbag deployment in a vehicle restraint system
    • 基于视觉的乘员分类方法和系统,用于控制车辆约束系统中的安全气囊展开
    • US20070055427A1
    • 2007-03-08
    • US11218671
    • 2005-09-02
    • Qin SunHongzhi KongDavid EicheVictor Nieto
    • Qin SunHongzhi KongDavid EicheVictor Nieto
    • E05F15/00
    • G06K9/00362B60R21/01538G06K9/00832
    • A vehicle restraint system has a vision-based occupant classification system for control of airbag deployment during a crash scenario. The classification system utilizes two imaging sensors which together create a stream of paired images received and stored by an occupant classification controller. A computer program product of the controller utilizes the paired images to extract disparity/range features and stereo-vision differential edge density features. Moreover, the controller extracts wavelet features from one of the two paired images. All three features or maps are classified amongst preferably seven classifications by algorithms of the computer program product producing class confidence data fed to a sensor fusion engine of the controller for processing and output of an airbag control signal input into a restraint controller of the vehicle restraint system.
    • 车辆约束系统具有基于视觉的乘员分类系统,用于在碰撞场景期间控制气囊展开。 分类系统利用两个成像传感器,它们共同创建由乘员分类控制器接收和存储的配对图像流。 控制器的计算机程序产品利用配对图像来提取视差/范围特征和立体视差差边缘密度特征。 此外,控制器从两个配对图像之一中提取小波特征。 所有三个特征或地图通过计算机程序产品的算法被分类为优选的七个分类,所述计算机程序产品产生提供给控制器的传感器融合引擎的类别置信数据,用于处理和输出输入到车辆限制系统的约束控制器中的安全气囊控制信号 。