公开(公告)号：US20070282506A1

公开(公告)日：2007-12-06

申请号：US11841056

申请日：2007-08-20

Applicant: David Breed ,  Tie-Qi Chen

Inventor： David Breed ,  Tie-Qi Chen

IPC: B60N2/02

CPC classification number: B60N2/028

Abstract: Arrangement and method for obtaining information about objects in an environment in or around a vehicle includes one or more optical imagers for obtaining images of the environment and a processor coupled to the imager(s) for obtaining information about an object in one or more images obtained by the imager(s). The processor is arranged to process the obtained images to determine edges of objects in the images and input data about the edges into a trained pattern recognition algorithm which has been trained to provide information about the object as output. The pattern recognition algorithm may include a neural network or variation thereof. The information about the object may be used to control a vehicular component such as an airbag or light filter.

Abstract translation: 用于获得关于车辆中或车辆周围的物体的信息的装置和方法包括用于获得环境图像的一个或多个光学成像器和耦合到成像器的处理器，用于获得获得的一个或多个图像中关于物体的信息 由成像师。 处理器被设置为处理所获得的图像以确定图像中的对象的边缘并且将关于边缘的数据输入到已经被训练以提供关于对象的信息作为输出的训练模式识别算法。 模式识别算法可以包括神经网络或其变体。 关于物体的信息可以用于控制诸如安全气囊或光过滤器的车辆部件。

公开(公告)号：US07009502B2

公开(公告)日：2006-03-07

申请号：US10644334

申请日：2003-08-20

Applicant: David S. Breed ,  Tie-Qi Chen ,  Ray Piirainen

Inventor： David S. Breed ,  Tie-Qi Chen ,  Ray Piirainen

IPC: B60Q1/00

CPC classification number: B60R21/01516 ,  B60R21/0153

Abstract: Method for controlling output of a classification algorithm which classifies an occupant of a seat including initially classifying the occupant and outputting the classification, subsequently periodically classifying the occupant and enabling a change in the classification of the occupant only upon obtaining evidence of a new classification which is greater than evidence of the current classification. The initial classification of the occupant may be conducted based on satisfaction of a condition such as the detection of closure of a door by, e.g., a sensor such as a door closure sensor, the detection of an empty seat by, e.g., an occupant presence sensor, weight sensor, electric field sensor, wave sensor, camera and the like, the detection of the switching on of the vehicle ignition by an appropriate sensor, motion or the absence of motion of the vehicle.

Abstract translation: 用于控制分类算法的输出的方法，其对包括初始对乘客进行分类并输出分类的座位的分类进行分类，随后周期性地对乘客进行分类，并且仅在获得新分类的证据后才能对乘客的分类进行改变， 大于当前分类的证据。 乘客的初始分类可以基于诸如通过例如门关闭传感器的传感器检测门的检测等的状况的满足，例如乘坐者的存在来检测空座位 传感器，重量传感器，电场传感器，波传感器，照相机等，通过适当的传感器检测车辆点火的开启，运动或车辆的运动。

公开(公告)号：US20100208034A1

公开(公告)日：2010-08-19

申请号：US12372677

申请日：2009-02-17

Applicant: Tie-Qi Chen

Inventor： Tie-Qi Chen

IPC: H04N13/00

CPC classification number: G06T7/97 ,  G06T7/85 ,  G06T2207/10021 ,  G06T2207/20016 ,  G06T2207/30252 ,  H04N13/239

Abstract: The present invention generally provides a method of performing dynamic calibration of a stereo vision system using a specific stereo disparity algorithm adapted to provide for the determination of disparity in two dimensions, X and Y. In one embodiment of the present invention, an X/Y disparity map may be calculated using this algorithm without having to perform pre-warping or first finding the epipolar directions. Thus information related to camera misalignment and/or distortion can be preserved in the resulting X/Y disparity map and later extracted.

Abstract translation: 本发明总体上提供一种使用特定的立体视差算法来执行立体视觉系统的动态校准的方法，该算法适于提供两维X和Y中的视差的确定。在本发明的一个实施例中，X / Y 可以使用该算法计算视差图，而不必执行预翘曲或首先找到对极方向。 因此，可以在所得到的X / Y视差图中保留与相机未对准和/或失真相关的信息，并随后提取。

公开(公告)号：US07525442B1

公开(公告)日：2009-04-28

申请号：US11364901

申请日：2006-02-27

Applicant: David S. Breed ,  Tie-Qi Chen ,  Ray Piirainen

Inventor： David S. Breed ,  Tie-Qi Chen ,  Ray Piirainen

IPC: G08B21/00

CPC classification number: B60R21/01516 ,  B60R21/0153

Abstract: Method for controlling output of a classification algorithm which classifies an occupant of a seat in a vehicle in which a bladder or other type of weight sensor is arranged in a bottom cushion of the seat, data relating to the pressure exerted by the occupant on the bottom cushion is obtained from the weight sensor, the occupant is initially classified, a current classification is output using data from the weight sensor, the occupant is periodically re-classified using data from the weight sensor, and a classification change is allowed only upon obtaining evidence of a new classification which is greater than evidence of the current classification. The classification change may be enabled by determining a substantially consecutive period of time when the re-classification is unchanged and different from the current classification, and enabling the classification change upon when the consecutive period of time is greater than a threshold.

Abstract translation: 用于控制分类算法的输出的方法，其将车辆中的座椅的乘客分类，其中布置有气囊或其它类型的重量传感器的座椅的底部坐垫中，与乘客在底部施加的压力有关的数据 从重量传感器获得坐垫，乘员初始分类，使用来自重量传感器的数据输出当前分类，乘客使用来自重量传感器的数据进行周期性重新分类，并且仅在获得证据时允许分类改变 的新分类，大于当前分类的证据。 可以通过确定重新分类不变并且与当前分类不同的基本上连续的时间段来启用分类改变，并且在连续的时间段大于阈值时能够进行分类改变。

公开(公告)号：US20080051957A1

公开(公告)日：2008-02-28

申请号：US11870472

申请日：2007-10-11

Applicant: David Breed ,  Tie-Qi Chen

Inventor： David Breed ,  Tie-Qi Chen

IPC: G06F7/00

CPC classification number: B60R21/01552 ,  B60R21/0152 ,  B60R21/0153

Abstract: Vehicle including a compartment receivable of an object and a system for tracking the object includes at least one imaging device each arranged to receive an image of a portion of the compartment containing the object and a control unit coupled to each imaging device and which controls the imaging device to obtain a first set of images without the object and at least one second image including the object. The control unit analyzes the second image(s) in consideration of the first set of images to derive information about the object. This information may be the type, size and/or position of the object or a part thereof. The information may be used to control vehicular components which have a variable use based on the type, size or position of the object or part thereof.

Abstract translation: 包括可接收物体的车厢和用于跟踪物体的系统的车辆包括至少一个成像装置，每个成像装置被布置成接收包含物体的隔室的一部分的图像;以及控制单元，其耦合到每个成像装置，并且控制成像 设备以获得没有对象的第一组图像和包括对象的至少一个第二图像。 考虑到第一组图像，控制单元分析第二图像以得到关于对象的信息。 该信息可以是对象或其一部分的类型，大小和/或位置。 该信息可以用于控制基于对象或其一部分的类型，大小或位置具有可变使用的车辆部件。

公开(公告)号：US07676062B2

公开(公告)日：2010-03-09

申请号：US11870472

申请日：2007-10-11

Applicant: David S. Breed ,  Tie-Qi Chen

Inventor： David S. Breed ,  Tie-Qi Chen

IPC: G06K9/00 ,  G06F7/00

CPC classification number: B60R21/01552 ,  B60R21/0152 ,  B60R21/0153

Abstract: Vehicle including a compartment receivable of an object and a system for tracking the object includes at least one imaging device each arranged to receive an image of a portion of the compartment containing the object and a control unit coupled to each imaging device and which controls the imaging device to obtain a first set of images without the object and at least one second image including the object. The control unit analyzes the second image(s) in consideration of the first set of images to derive information about the object. This information may be the type, size and/or position of the object or a part thereof. The information may be used to control vehicular components which have a variable use based on the type, size or position of the object or part thereof.

Abstract translation: 包括可接收物体的车厢和用于跟踪物体的系统的车辆包括至少一个成像装置，每个成像装置被布置成接收包含物体的隔室的一部分的图像;以及控制单元，其耦合到每个成像装置，并且控制成像 设备以获得没有对象的第一组图像和包括对象的至少一个第二图像。 考虑到第一组图像，控制单元分析第二图像以导出关于对象的信息。 该信息可以是对象或其一部分的类型，大小和/或位置。 该信息可以用于控制基于对象或其一部分的类型，大小或位置具有可变使用的车辆部件。

公开(公告)号：US06757602B2

公开(公告)日：2004-06-29

申请号：US10234436

申请日：2002-09-03

Applicant: David S. Breed ,  Wilbur E. DuVall ,  Wendell C. Johnson ,  Jeffrey L. Morin ,  Kunhong Xu ,  Michael E. Kussul ,  Tie-Qi Chen

Inventor： David S. Breed ,  Wilbur E. DuVall ,  Wendell C. Johnson ,  Jeffrey L. Morin ,  Kunhong Xu ,  Michael E. Kussul ,  Tie-Qi Chen

IPC: G06F700

CPC classification number: B60R21/01534 ,  B60R21/01516 ,  B60R21/01532 ,  B60R21/01536 ,  B60R21/0154 ,  B60R21/01546 ,  B60R21/01548 ,  B60R21/01554 ,  G01S15/04 ,  G01S15/42 ,  G01S15/88 ,  G06K9/00362

Abstract: Method for controlling an occupant protection device in a vehicle in which data is acquired from at least one sensor relating to an occupant in a seat to be protected by the occupant protection device, the type of occupant is classified based on the acquired data and when the occupant is classified as an empty seat or a rear-facing child seat, deployment of the occupant protection device is disabled or adjusted. Otherwise, the size of the occupant is classified based on the acquired data, the position of the occupant is determined by one of a plurality of algorithms selected based on the classified size of the occupant using the acquired data, each algorithm being applicable for a specific size of occupant. Deployment of the occupant protection device is disabled or adjusted when the determined position of the occupant is more likely to result in injury to the occupant if the occupant protection device were to deploy. The algorithms may be pattern recognition algorithms such as neural networks.

Abstract translation: 用于控制车辆中的乘员保护装置的方法，其中从与乘员保护装置要保护的座椅中的乘员有关的至少一个传感器获取数据，基于所获取的数据对乘客的类型进行分类， 乘员被分类为空座椅或后排儿童座椅，禁止或调整乘员保护装置的部署。 否则，基于获取的数据对占用者的大小进行分类，乘员的位置由使用所获取的数据的乘客的分类大小选择的多种算法中的一种确定，每种算法适用于特定的 乘客人数 当乘员保护装置要部署时，当乘客的确定位置更可能导致乘客受伤时，禁止或调整乘员保护装置的部署。 算法可以是诸如神经网络的模式识别算法。

公开(公告)号：US08120644B2

公开(公告)日：2012-02-21

申请号：US12372677

申请日：2009-02-17

Applicant: Tie-Qi Chen

Inventor： Tie-Qi Chen

IPC: H04N13/02

CPC classification number: G06T7/97 ,  G06T7/85 ,  G06T2207/10021 ,  G06T2207/20016 ,  G06T2207/30252 ,  H04N13/239

Abstract: The present invention generally provides a method of performing dynamic calibration of a stereo vision system using a specific stereo disparity algorithm adapted to provide for the determination of disparity in two dimensions, X and Y. In one embodiment of the present invention, an X/Y disparity map may be calculated using this algorithm without having to perform pre-warping or first finding the epipolar directions. Thus information related to camera misalignment and/or distortion can be preserved in the resulting X/Y disparity map and later extracted.

Abstract translation: 本发明总体上提供一种使用特定的立体视差算法来执行立体视觉系统的动态校准的方法，该算法适于提供两维X和Y中的视差的确定。在本发明的一个实施例中，X / Y 可以使用该算法计算视差图，而不必执行预翘曲或首先找到对极方向。 因此，可以在所得到的X / Y视差图中保留与相机未对准和/或失真相关的信息，并随后提取。

公开(公告)号：US08054193B1

公开(公告)日：2011-11-08

申请号：US12430417

申请日：2009-04-27

Applicant: David S. Breed ,  Tie-Qi Chen ,  Ray Piirainen

Inventor： David S. Breed ,  Tie-Qi Chen ,  Ray Piirainen

IPC: G08B21/00

CPC classification number: B60R21/01516 ,  B60R21/0153

Abstract: Method for controlling output of a classification algorithm which classifies an occupant of a seat in a vehicle in which a bladder or other type of weight sensor is arranged in a bottom cushion of the seat, data relating to the pressure exerted by the occupant on the bottom cushion is obtained from the weight sensor, the occupant is initially classified, a current classification is output using data from the weight sensor, the occupant is periodically re-classified using data from the weight sensor, and a classification change is allowed only upon obtaining evidence of a new classification which is greater than evidence of the current classification. The classification change may be enabled by determining a substantially consecutive period of time when the re-classification is unchanged and different from the current classification, and enabling the classification change upon when the consecutive period of time is greater than a threshold.

Abstract translation: 用于控制分类算法的输出的方法，其将车辆中的座椅的乘客分类，其中布置有气囊或其它类型的重量传感器的座椅的底部坐垫中，与乘客在底部施加的压力有关的数据 从重量传感器获得坐垫，乘员初始分类，使用来自重量传感器的数据输出当前分类，乘客使用来自重量传感器的数据进行周期性重新分类，并且仅在获得证据时允许分类改变 的新分类，大于当前分类的证据。 可以通过确定重新分类不变并且与当前分类不同的基本上连续的时间段来启用分类改变，并且在连续的时间段大于阈值时能够进行分类改变。

公开(公告)号：US07769513B2

公开(公告)日：2010-08-03

申请号：US11841056

申请日：2007-08-20

Applicant: David S. Breed ,  Tie-Qi Chen

Inventor： David S. Breed ,  Tie-Qi Chen

IPC: G06K9/00

CPC classification number: B60N2/028

Abstract: Arrangement and method for obtaining information about objects in an environment in or around a vehicle includes one or more optical imagers for obtaining images of the environment and a processor coupled to the imager(s) for obtaining information about an object in one or more images obtained by the imager(s). The processor is arranged to process the obtained images to determine edges of objects in the images and input data about the edges into a trained pattern recognition algorithm which has been trained to provide information about the object as output. The pattern recognition algorithm may include a neural network or variation thereof. The information about the object may be used to control a vehicular component such as an airbag or light filter.

Abstract translation: 用于获得关于车辆中或车辆周围的物体的信息的装置和方法包括用于获得环境图像的一个或多个光学成像器和耦合到成像器的处理器，用于获得获得的一个或多个图像中关于物体的信息 由成像师。 处理器被设置为处理所获得的图像以确定图像中的对象的边缘并且将关于边缘的数据输入到已经被训练以提供关于对象的信息作为输出的训练模式识别算法。 模式识别算法可以包括神经网络或其变体。 关于物体的信息可以用于控制诸如安全气囊或光过滤器的车辆部件。