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1. 发明授权

US07623950B2 Confidence boost for automotive occupant classifications 有权
标题翻译：汽车乘员分类的置信度提升
公开(公告)号：US07623950B2
公开(公告)日：2009-11-24
申请号：US11149816
申请日：2005-06-09
申请人： Hongzhi Kong , William A. Bauson , Qin Sun
发明人： Hongzhi Kong , William A. Bauson , Qin Sun
IPC分类号： G05D1/00
CPC分类号： B60R21/01538
摘要： 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.
摘要翻译：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。

2. 发明申请

US20070055427A1 Vision-based occupant classification method and system for controlling airbag deployment in a vehicle restraint system 有权
标题翻译：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
公开(公告)号：US20070055427A1
公开(公告)日：2007-03-08
申请号：US11218671
申请日：2005-09-02
申请人： Qin Sun , Hongzhi Kong , David Eiche , Victor Nieto
发明人： Qin Sun , Hongzhi Kong , David Eiche , Victor Nieto
IPC分类号： E05F15/00
CPC分类号： G06K9/00362 , B60R21/01538 , G06K9/00832
摘要： 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.
摘要翻译：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。

3. 发明申请

US20070052839A1 Method of exposure control for an imaging system 有权
标题翻译：成像系统的曝光控制方法
公开(公告)号：US20070052839A1
公开(公告)日：2007-03-08
申请号：US11222285
申请日：2005-09-08
申请人： Hongzhi Kong , Qin Sun
发明人： Hongzhi Kong , Qin Sun
IPC分类号： H04N5/238
CPC分类号： G03B7/08 , G03B7/09979 , H04N5/2351 , H04N5/2353
摘要： A method of exposure control for an imaging system. A predetermined number of images are captured by one or more imagers, wherein the images are defined by an image resolution matrix. The images are masked to establish a region of interest within the image resolution matrix and brightness of the images is analyzed within the region of interest. An exposure time is calculated for a subsequent image capturing step based on the brightness analysis, and an exposure time setting of the imager(s) is adjusted during the subsequent image capturing step based on the calculated exposure time.
摘要翻译：一种用于成像系统的曝光控制的方法。一个或多个成像器捕获预定数量的图像，其中图像由图像分辨率矩阵定义。图像被掩蔽以在图像分辨率矩阵内建立感兴趣区域，并且在感兴趣的区域内分析图像的亮度。基于亮度分析计算后续图像拍摄步骤的曝光时间，并且基于所计算的曝光时间在随后的图像拍摄步骤期间调整成像器的曝光时间设置。

4. 发明申请

US20050185194A1 Identification and labeling of beam images of a structured beam matrix 有权
标题翻译：结构束矩阵的束图像的识别和标记
公开(公告)号：US20050185194A1
公开(公告)日：2005-08-25
申请号：US10784648
申请日：2004-02-23
申请人： Hongzhi Kong , Qin Sun , Stephen Kiselewich
发明人： Hongzhi Kong , Qin Sun , Stephen Kiselewich
IPC分类号： G01B11/25 , G06T5/00 , G01B11/24
CPC分类号： G06K9/2036 , B60R21/01534 , B60R21/01538 , G01B11/2513 , G06T7/521 , G06T7/80 , G06T2207/10016 , G06T2207/30208
摘要： A technique for identifying beam images of a beam matrix includes a number of steps. Initially, a plurality of light beams of a beam matrix, which are arranged in rows and columns, are received after reflection from a surface of a target. Next, a reference light beam is located in the beam matrix. Then, a row pivot beam is located in the beam matrix based on the reference beam. Next, remaining reference row beams of a reference row that includes the row pivot beam and the reference beam are located. Then, a column pivot beam in the beam matrix is located based on the reference beam. Next, remaining reference column beams of a reference column that includes the column pivot beam and the reference beam are located. Finally, remaining ones of the light beams in the beam matrix are located.
摘要翻译：用于识别波束矩阵的波束图像的技术包括多个步骤。最初，从目标表面反射之后，接收以行和列排列的多个束矩阵的光束。接下来，参考光束位于光束矩阵中。然后，基于参考光束，行摆动光束位于光束矩阵中。接下来，定位包括行摆动光束和参考光束的参考行的剩余参考行光束。然后，基于参考光束定位在光束矩阵中的列枢转光束。接下来，定位包括列枢转光束和参考光束的参考列的剩余参考列光束。最后，光束矩阵中剩余的一束光束被定位。

5. 发明授权

US07505841B2 Vision-based occupant classification method and system for controlling airbag deployment in a vehicle restraint system 有权
标题翻译：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
公开(公告)号：US07505841B2
公开(公告)日：2009-03-17
申请号：US11218671
申请日：2005-09-02
申请人： Qin Sun , Hongzhi Kong , David L. Eiche , Victor M. Nieto
发明人： Qin Sun , Hongzhi Kong , David L. Eiche , Victor M. Nieto
IPC分类号： G06K9/46 , G06K9/62 , G06G7/00 , G06F7/00 , G06F17/00
CPC分类号： G06K9/00362 , B60R21/01538 , G06K9/00832
摘要： 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.
摘要翻译：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。

6. 发明申请

US20060282201A1 Confidence boost for automotive occupant classifications 有权
公开(公告)号：US20060282201A1
公开(公告)日：2006-12-14
申请号：US11149816
申请日：2005-06-09
申请人： Hongzhi Kong , William Bauson , Qin Sun
发明人： Hongzhi Kong , William Bauson , Qin Sun
IPC分类号： G06F17/00
CPC分类号： B60R21/01538
摘要： 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.

7. 发明授权

US07002699B2 Identification and labeling of beam images of a structured beam matrix 有权
标题翻译：结构束矩阵的束图像的识别和标记
公开(公告)号：US07002699B2
公开(公告)日：2006-02-21
申请号：US10784648
申请日：2004-02-23
申请人： Hongzhi Kong , Qin Sun , Stephen J. Kiselewich
发明人： Hongzhi Kong , Qin Sun , Stephen J. Kiselewich
IPC分类号： G01B11/24 , G01J11/32 , G01N2/86
CPC分类号： G06K9/2036 , B60R21/01534 , B60R21/01538 , G01B11/2513 , G06T7/521 , G06T7/80 , G06T2207/10016 , G06T2207/30208
摘要： A technique for identifying beam images of a beam matrix includes a number of steps. Initially, a plurality of light beams of a beam matrix, which are arranged in rows and columns, are received after reflection from a surface of a target. Next, a reference light beam is located in the beam matrix. Then, a row pivot beam is located in the beam matrix based on the reference beam. Next, remaining reference row beams of a reference row that includes the row pivot beam and the reference beam are located. Then, a column pivot beam in the beam matrix is located based on the reference beam. Next, remaining reference column beams of a reference column that includes the column pivot beam and the reference beam are located. Finally, remaining ones of the light beams in the beam matrix are located.
摘要翻译：用于识别波束矩阵的波束图像的技术包括多个步骤。最初，从目标表面反射之后，接收以行和列排列的多个束矩阵光束。接下来，参考光束位于光束矩阵中。然后，基于参考光束，行摆动光束位于光束矩阵中。接下来，定位包括行摆动光束和参考光束的参考行的剩余参考行光束。然后，基于参考光束定位在光束矩阵中的列枢转光束。接下来，定位包括列枢转光束和参考光束的参考列的剩余参考列光束。最后，光束矩阵中剩余的一束光束被定位。

8. 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。

9. 发明授权

US07548270B2 Method of exposure control for an imaging system 有权
标题翻译：成像系统的曝光控制方法
公开(公告)号：US07548270B2
公开(公告)日：2009-06-16
申请号：US11222285
申请日：2005-09-08
申请人： Hongzhi Kong , Qin Sun
发明人： Hongzhi Kong , Qin Sun
IPC分类号： H04N5/238
CPC分类号： G03B7/08 , G03B7/09979 , H04N5/2351 , H04N5/2353
摘要： A method of exposure control for an imaging system. A predetermined number of images are captured by one or more imagers, wherein the images are defined by an image resolution matrix. The images are masked to establish a region of interest within the image resolution matrix and brightness of the images is analyzed within the region of interest. An exposure time is calculated for a subsequent image capturing step based on the brightness analysis, and an exposure time setting of the imager(s) is adjusted during the subsequent image capturing step based on the calculated exposure time.
摘要翻译：一种用于成像系统的曝光控制的方法。一个或多个成像器捕获预定数量的图像，其中图像由图像分辨率矩阵定义。图像被掩蔽以在图像分辨率矩阵内建立感兴趣区域，并且在感兴趣的区域内分析图像的亮度。基于亮度分析计算后续图像拍摄步骤的曝光时间，并且基于所计算的曝光时间在随后的图像拍摄步骤期间调整成像器的曝光时间设置。

10. 发明申请

US20070055428A1 Method of classifying vehicle occupants 有权
标题翻译：车辆乘员分类方法
公开(公告)号：US20070055428A1
公开(公告)日：2007-03-08
申请号：US11219233
申请日：2005-09-02
申请人： Hongzhi Kong , Qin Sun , David Eiche , Victor Nieto
发明人： Hongzhi Kong , Qin Sun , David Eiche , Victor Nieto
IPC分类号： B60R22/00
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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