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公开(公告)号：US09383202B2
公开(公告)日：2016-07-05
申请号：US13796983
申请日：2013-03-12
Applicant: Google Inc.
Inventor： Shuchang Zhou , Edward Y. Chang
CPC classification number: G01C5/06 , G06F2200/1637
Abstract: Disclosed here are methods and systems that relate to determining an orientation of an object. The orientation of the object may be represented by an Euler angle which identifies a rotation of the object from a reference frame. The methods and systems may rely on readings collected from two or more barometric pressure sensors to estimate an altitude difference between the pressure sensors. The methods and systems may calculate the Euler angle based on the altitude difference.
Abstract translation: 这里公开的是与确定物体的取向有关的方法和系统。 对象的取向可以由标识对象从参考框架的旋转的欧拉角表示。 方法和系统可以依赖于从两个或更多个气压传感器收集的读数以估计压力传感器之间的高度差。 方法和系统可以基于高度差来计算欧拉角。
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公开(公告)号：US20160007317A1
公开(公告)日：2016-01-07
申请号：US14376717
申请日：2013-03-26
Applicant: GOOGLE INC.
Inventor： Qingxuan Yang , Edward Y. Chang
CPC classification number: H04W64/006 , G01P13/00 , G01P15/02 , G01P15/14 , H04M1/72569
Abstract: Disclosed here are methods and systems that relate to determining a moving direction of a mobile device user. The methods and systems relate to using an inertial navigation system such as an accelerometer and gyroscope to aid in the determination of the moving direction of the user. The methods and systems may receive an acceleration reading associated with the mobile device, and determine a step frequency of the user based on the acceleration reading. The methods and systems may determine a theoretical model to fit the acceleration reading, and may determine the moving direction of the user based on the theoretical model.
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公开(公告)号：US20170046330A1
公开(公告)日：2017-02-16
申请号：US15307185
申请日：2014-04-28
Applicant: Google Inc.
Inventor： Xiance Si , Edward Y. Chang
IPC: G06F17/27 , G06F3/0482
CPC classification number: G06F17/276 , G06F3/018 , G06F3/0236 , G06F3/0237 , G06F3/0482 , G06F3/04886 , G06F17/275 , G06F17/277
Abstract: A computer-implemented method can include receiving, at a computing device having one or more processors, a plurality of textual inputs. Each of the textual inputs can be received in association with an input field. The method can also include receiving, at the computing device, a plurality of unique identifiers. Each unique identifier can be associated one of the plurality of textual inputs and identify a type of the input field. The method can also include building, at the computing device, a language model associated with each particular unique identifier. Each language model can be based on the textual inputs associated with the particular unique identifier. Further, the method can include storing, at the computing device, the language models such that each particular language model can be retrieved based on its associated particular unique identifier.
Abstract translation: 计算机实现的方法可以包括在具有一个或多个处理器的计算设备处接收多个文本输入。 可以与输入字段相关联地接收每个文本输入。 该方法还可以包括在计算设备处接收多个唯一标识符。 每个唯一标识符可以与多个文本输入中的一个相关联，并且识别输入字段的类型。 该方法还可以包括在计算设备处建立与每个特定唯一标识符相关联的语言模型。 每个语言模型可以基于与特定唯一标识符相关联的文本输入。 此外，该方法可以包括在计算设备处存储语言模型，使得可以基于其相关联的特定唯一标识符来检索每个特定语言模型。
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公开(公告)号：US09547914B2
公开(公告)日：2017-01-17
申请号：US14169610
申请日：2014-01-31
Applicant: Google Inc.
Inventor： Zhiyu Wang , Edward Y. Chang
CPC classification number: G06T7/90 , G06K9/00684 , G06K9/4619 , G06K9/4623 , G06K9/4652 , G06K9/4671 , G06K9/623
Abstract: A computer-implemented technique for feature extraction includes obtaining an electronic image of an object and performing an edge detection algorithm on the electronic image. The technique further includes performing an edge pooling algorithm and sampling the electronic image edge patches, color patches and texture patches. A set of patches is selected from the edge patches, color patches and texture patches by selecting an (ith+1) patch to be within the set of patches based on a Euclidean distance from an ith patch of the set of patches for each of the set of edge patches, the set of color patches and the set of texture patches. A part selection algorithm and a part pooling algorithm is performed to obtain parts that are registered to the object.
Abstract translation: 用于特征提取的计算机实现技术包括获得对象的电子图像并对电子图像执行边缘检测算法。 该技术还包括执行边缘合并算法并对电子图像边缘补丁，色块和纹理补丁进行采样。 基于从该组补丁的第i个补丁的欧几里德距离，通过选择在该组补丁内的第（i + 1）个补丁，从边缘补丁，色块和纹理补丁中选择一组补丁 一组边缘补丁，一组颜色补丁和一组纹理补丁。 执行部分选择算法和部分合并算法以获得注册到对象的部分。
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公开(公告)号：US09295027B2
公开(公告)日：2016-03-22
申请号：US14376717
申请日：2013-03-26
Applicant: Google Inc.
Inventor： Qingxuan Yang , Edward Y. Chang
CPC classification number: H04W64/006 , G01P13/00 , G01P15/02 , G01P15/14 , H04M1/72569
Abstract: Disclosed here are methods and systems that relate to determining a moving direction of a mobile device user. The methods and systems relate to using an inertial navigation system such as an accelerometer and gyroscope to aid in the determination of the moving direction of the user. The methods and systems may receive an acceleration reading associated with the mobile device, and determine a step frequency of the user based on the acceleration reading. The methods and systems may determine a theoretical model to fit the acceleration reading, and may determine the moving direction of the user based on the theoretical model.
Abstract translation: 这里公开了与确定移动设备用户的移动方向有关的方法和系统。 所述方法和系统涉及使用诸如加速度计和陀螺仪的惯性导航系统来帮助确定用户的移动方向。 方法和系统可以接收与移动设备相关联的加速度读数，并且基于加速度读数来确定用户的步进频率。 方法和系统可以确定用于拟合加速度读数的理论模型，并且可以基于理论模型来确定用户的移动方向。
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Patent Agency Ranking
公开(公告)号：US20160018225A1
公开(公告)日：2016-01-21
申请号：US14375711
申请日：2013-03-26
Applicant: GOOGLE INC.
Inventor： Qingxuan Yang , Edward Y. Chang
CPC classification number: G01C21/16 , G01C22/006 , H04W88/02
Abstract: Disclosed here are methods and systems that relate to determining a moving direction of a mobile device user. The methods and systems relate to using an inertial navigation system such as an accelerometer and gyroscope to aid in the determination of the moving direction of the user. The methods and systems may receive an acceleration reading associated with the mobile device, and determine a step frequency of the user based on the acceleration reading. The methods and systems may determine a theoretical model to fit the acceleration reading, and may determine the moving direction of the user based on the theoretical model.
Abstract translation: 这里公开了与确定移动设备用户的移动方向有关的方法和系统。 所述方法和系统涉及使用诸如加速度计和陀螺仪的惯性导航系统来帮助确定用户的移动方向。 方法和系统可以接收与移动设备相关联的加速度读数，并且基于加速度读数来确定用户的步进频率。 方法和系统可以确定用于拟合加速度读数的理论模型，并且可以基于理论模型来确定用户的移动方向。
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公开(公告)号：US20150153171A1
公开(公告)日：2015-06-04
申请号：US13796983
申请日：2013-03-12
Applicant: Google Inc.
Inventor： Shuchang Zhou , Edward Y. Chang
IPC: G01C5/06
CPC classification number: G01C5/06 , G06F2200/1637
Abstract: Disclosed here are methods and systems that relate to determining an orientation of an object. The orientation of the object may be represented by an Euler angle which identifies a rotation of the object from a reference frame. The methods and systems may rely on readings collected from two or more barometric pressure sensors to estimate an altitude difference between the pressure sensors. The methods and systems may calculate the Euler angle based on the altitude difference.
Abstract translation: 这里公开的是与确定物体的取向有关的方法和系统。 对象的取向可以由标识对象从参考框架的旋转的欧拉角表示。 方法和系统可以依赖于从两个或更多个气压传感器收集的读数来估计压力传感器之间的高度差。 方法和系统可以基于高度差来计算欧拉角。
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公开(公告)号：US20140147039A1
公开(公告)日：2014-05-29
申请号：US14169610
申请日：2014-01-31
Applicant: GOOGLE INC.
Inventor： Zhiyu Wang , Edward Y. Chang
CPC classification number: G06T7/90 , G06K9/00684 , G06K9/4619 , G06K9/4623 , G06K9/4652 , G06K9/4671 , G06K9/623
Abstract: A computer-implemented technique for feature extraction includes obtaining an electronic image of an object and performing an edge detection algorithm on the electronic image. The technique further includes performing an edge pooling algorithm and sampling the electronic image edge patches, color patches and texture patches. A set of patches is selected from the edge patches, color patches and texture patches by selecting an (ith+1) patch to be within the set of patches based on a Euclidean distance from an ith patch of the set of patches for each of the set of edge patches, the set of color patches and the set of texture patches. A part selection algorithm and a part pooling algorithm is performed to obtain parts that are registered to the object.
Abstract translation: 用于特征提取的计算机实现技术包括获得对象的电子图像并对电子图像执行边缘检测算法。 该技术还包括执行边缘合并算法并对电子图像边缘补丁，色块和纹理补丁进行采样。 基于从该组补丁的第i个补丁的欧几里德距离，通过选择在该组补丁内的第（i + 1）个补丁，从边缘补丁，色块和纹理补丁中选择一组补丁 一组边缘补丁，一组颜色补丁和一组纹理补丁。 执行部分选择算法和部分合并算法以获得注册到对象的部分。
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9.发明授权Hardware attitude detection implementation of mobile devices with MEMS motion sensors 有权具有MEMS运动传感器的移动设备的硬件姿态检测实现公开(公告)号：US09135802B2
公开(公告)日：2015-09-15
申请号：US14149249
申请日：2014-01-07
Applicant: GOOGLE INC.
Inventor： Guanfeng Li , Edward Y. Chang
CPC classification number: G08B19/00 , G06F1/1694 , G06F3/017 , G06F3/0346 , G06F9/542
Abstract: Systems and methods for detecting an attitude of a device are disclosed. The system includes a processing system including at least a sensor processor and an application processor, which are distinct. The system further includes a memory system including one or more computer-readable media. The computer-readable media contains instructions that, if executed by the processing system, cause the system to perform operations. The operations include executing an application using the application processor, and receiving raw sensor readings from one or more sensors, using the sensor processor. The operations also include determining, using the sensor processor, a processed sensor metric comprising attitude data, and transmitting the processed sensor metric to the application.
Abstract translation: 公开了用于检测设备姿态的系统和方法。 该系统包括至少包括传感器处理器和应用处理器的处理系统，它们是不同的。 该系统还包括包括一个或多个计算机可读介质的存储器系统。 计算机可读介质包含指令，如果由处理系统执行，指令使系统执行操作。 这些操作包括使用应用处理器执行应用，并使用传感器处理器从一个或多个传感器接收原始传感器读数。 操作还包括使用传感器处理器来确定包括姿态数据的处理的传感器度量，并将处理的传感器度量传送到应用程序。
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公开(公告)号：US08798375B1
公开(公告)日：2014-08-05
申请号：US13891421
申请日：2013-05-10
Applicant: Google Inc.
Inventor： Edward Y. Chang , Zhiyu Wang , Dingyin Xia
CPC classification number: G06K9/6202 , G06K9/4628 , G06K9/6289
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for labeling images. In one aspect, a method includes automatically identifying an object in an image using a deep model-based and data-driven hybrid architecture.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的用于标记图像的计算机程序。 一方面，一种方法包括使用基于深度模型和数据驱动的混合架构自动识别图像中的对象。
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