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公开(公告)号：US20150153182A1
公开(公告)日：2015-06-04
申请号：US13761754
申请日：2013-02-07
Applicant: Google Inc.
Inventor： Laurent Tu , Brian Patrick Williams
IPC: G01C21/20 , G06F3/0484
CPC classification number: G01C21/206 , G01C25/00 , G06F1/1686 , G06F1/1694 , G06F3/011 , G06F3/0304 , G06F3/04847
Abstract: Systems and methods for calibrating a navigation heading are provided. A client device may display navigation information to a user. The client device may display a floor plan of a building with a navigation route superimposed on the floor plan. The client device may also display a video as received from a camera with the navigation route superimposed on the video. By displaying the route on the captured imagery, the client device may direct the user along the route without the user having knowledge of the direction in which they are facing when beginning the route. As the user travels along the route, the heading by which the client device directs the user may grow increasingly inaccurate. Therefore, the client device may include an interface to allow the user to recalibrate the heading (e.g., by straightening a displayed path) to ensure that an accurate navigation path is displayed.
Abstract translation: 提供了校准导航标题的系统和方法。 客户端设备可以向用户显示导航信息。 客户端设备可以显示具有重叠在平面图上的导航路线的建筑物的平面图。 客户端设备还可以显示从摄像机接收到的视频，导航路由叠加在视频上。 通过在捕获的图像上显示路线，客户端设备可以引导用户沿着路线，而不需要用户知道他们在开始路线时面向的方向。 当用户沿着路线行进时，客户端设备引导用户的标题可能越来越不准确。 因此，客户端设备可以包括允许用户重新校准标题的接口（例如，通过校直显示的路径），以确保显示精确的导航路径。
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12.发明申请Use of a trained classifier to determine if a pair of wireless scans came from the same location 有权使用训练有素的分类器来确定一对无线扫描是否来自同一位置公开(公告)号：US20150055491A1
公开(公告)日：2015-02-26
申请号：US13972713
申请日：2013-08-21
Applicant: Google Inc.
Inventor： Mohammed Waleed Kadous , Marc Stogaitis , Brian Patrick Williams , Etienne Le Grand
Abstract: The present disclosure describes methods, systems, and apparatuses for determining the likelihood that two wireless scans of a mobile computing device were performed in the same location. The likelihood is determined by scanning for wireless networks with a computing device. The scanning includes a receiving a plurality of network attributes for each wireless networks within the range of the mobile computing device. Further, the likelihood is determined by comparing the plurality of network attributes from the scanning with a reference set of network attributes. The comparing of network attributes is used to determine an attribute comparison. Finally, the likelihood between a position associated with the reference set of network attributes and the computing device, based on the attribute comparison, determines a position associated with the network.
Abstract translation: 本公开描述了用于确定在相同位置执行移动计算设备的两次无线扫描的可能性的方法，系统和装置。 通过用计算设备扫描无线网络来确定可能性。 扫描包括为移动计算设备的范围内的每个无线网络接收多个网络属性。 此外，通过将来自扫描的多个网络属性与网络属性的参考集进行比较来确定似然性。 网络属性的比较用于确定属性比较。 最后，基于属性比较，与参考网络属性集合相关联的位置与计算设备之间的可能性确定与网络相关联的位置。
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公开(公告)号：US10033941B2
公开(公告)日：2018-07-24
申请号：US14708955
申请日：2015-05-11
Applicant: Google Inc.
Inventor： Brian Patrick Williams , Ryan Michael Hickman
Abstract: A mobile device includes at least one imaging sensor to capture imagery of an environment of the mobile device, a privacy filter module, a spatial feature detection module, an assembly module, and a network interface. The privacy filter module is to perform at least one image-based privacy filtering process using the captured imagery to generate filtered imagery. The spatial feature detection module is to determine a set of spatial features in the filtered imagery. The assembly module is to generate an area description file representative of the set of spatial features. The network interface is to transmit the area description file to a remote computing system. The assembly module may select only a subset of the set of spatial features for inclusion in the area description file.
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公开(公告)号：US09880257B2
公开(公告)日：2018-01-30
申请号：US14843961
申请日：2015-09-02
Applicant: Google Inc.
Inventor： Brian John Julian , Brian Patrick Williams , Etienne Le Grand
CPC classification number: G01S5/0278 , G01S5/0036 , G01S5/0252
Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on trained Gaussian processes modeling signals of wireless signal emitters. A computing device can determine first and second trained Gaussian processes. The respective first and second Gaussian processes can be based on first and second hyperparameter values related to first and second wireless signal emitters. The computing device can determine first and second sets of comparison hyperparameter values of the respective first and second hyperparameter values, and then determine whether the first and second sets of comparison hyperparameter values are within one or more threshold values. After determining that the first and second sets of comparison hyperparameter values are within the threshold(s), the computing device can determine the first and second Gaussian processes are dependent and then provide an estimated-location output based on a representative Gaussian process based on the first and the second Gaussian processes.
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公开(公告)号：US09769624B1
公开(公告)日：2017-09-19
申请号：US14749450
申请日：2015-06-24
Applicant: Google Inc.
Inventor： Nadav Aharony , Andrew Ames Bunner , Alan Lee Gardner, III , Mohammed Waleed Kadous , Brian Patrick Williams , Marc Stogaitis , Brian Duff , Pascal Tom Getreuer , Zhentao Sun , Daniel Estrada Alva , Ami Patel , Benjamin Razon , Richard Daniel Webb , Tony Weber , Thomas Yuchin Chao , Ralph Jacob Cressman , Denise Ho , Liem Tran , Joseph A. Farfel
Abstract: The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to receive user input regarding copresence detection settings for a first user device, the copresence detection settings comprising a location and/or a user access control list, and determine a current location of the first user device. The system may determine whether copresence detection of the first user device is enabled at the current location based on the copresence detection settings and the current location. Based on determining that copresence detection is enabled, the system may refine copresence and perform an action based on fine grain copresence of the first and second user device.
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Patent Agency Ranking
公开(公告)号：US20150230183A1
公开(公告)日：2015-08-13
申请号：US14698362
申请日：2015-04-28
Applicant: Google Inc.
Inventor： Marc Stogaitis , Brian Patrick Williams
IPC: H04W52/02
CPC classification number: H04W52/0254 , A61B5/1116 , A61B5/1123 , A61B5/6898 , A61B2560/0209 , A63B24/0062 , G06F1/1626 , G06F1/1694 , G06F1/3206 , G06F1/3262 , G06F3/0346 , Y02D70/142 , Y02D70/144 , Y02D70/166 , Y02D70/26
Abstract: In one example, a method includes determining, by a processor operating in a first power mode and based on first motion data, a first activity of a user, transitioning from operating in the first power mode to operating in a second power mode, wherein the processor consumes less power while operating in the second power mode than in the first power mode, responsive to determining, while the processor is operating in the second power mode and based on second motion data, that a change in an angle relative to gravity satisfies a threshold, transitioning from operating in the second power mode to operating in the first power mode, determining, by the processor and based on second motion data, a second activity of the user, and, responsive to determining that the second activity is different from the first activity, performing an action.
Abstract translation: 在一个示例中，一种方法包括由处理器以第一功率模式操作并基于第一运动数据确定用户的第一活动，从在第一功率模式中的操作转变为以第二功率模式操作，其中， 响应于在处理器以第二功率模式操作并且基于第二运动数据的情况下确定相对于重力的角度的变化满足一定的要求，处理器在第二功率模式下比在第一功率模式中消耗更少的功率 阈值，从在第二功率模式下运行转换到在第一功率模式下工作，由处理器和基于第二运动数据确定用户的第二活动，并且响应于确定第二活动不同于 第一个活动，执行一个动作。
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公开(公告)号：US09042912B1
公开(公告)日：2015-05-26
申请号：US14313949
申请日：2014-06-24
Applicant: Google Inc.
Inventor： Andrew Ames Bunner , Alan Lee Gardner, III , Mohammed Waleed Kadous , Brian Patrick Williams , Marc Stogaitis , Nadav Aharony , Brian Duff , Pascal Tom Getreuer , Zhentao Sun , Daniel Estrada Alva , Ami Patel , Benjamin Razon , Richard Daniel Webb , Tony Weber , Thomas Yuchin Chao , Ryan Michael Rifkin , Richard Francis Lyon , Liem Tran , Joseph A. Farfel
Abstract: The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to: process one or more signals to determine coarse grain location information of a first device and a second device; determine whether the first device and the second device are copresent based on the coarse grain location information; in response to determining that the first device and the second device are copresent based on the coarse grain location information, transmit a signal to the second device to alert the second device to listen for a fine grain copresence token from the first device; and refine copresence based on receiving an indication that the second device has received the fine grain copresence token.
Abstract translation: 本公开包括用于检测用户之间的细粒度共存的系统和方法。 该系统包括处理器和存储指令的存储器，所述指令在执行时导致系统：处理一个或多个信号以确定第一设备和第二设备的粗粒度位置信息; 基于粗粮位置信息来确定第一设备和第二设备是否共享; 响应于基于粗粒度位置信息确定第一设备和第二设备共同呈现，向第二设备发送信号以警告第二设备从第一设备收听细粒度共存令牌; 以及基于接收到所述第二设备已经接收到所述细粒度共存令牌的指示来优化共存。
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18.发明申请Use of a Trained Classifier to Predict Distance Based on a Pair of Wireless Scans 有权使用经过培训的分类器基于一对无线扫描来预测距离公开(公告)号：US20150057014A1
公开(公告)日：2015-02-26
申请号：US13972738
申请日：2013-08-21
Applicant: Google Inc.
Inventor： Mohammed Waleed Kadous , Brian Patrick Williams , Etienne Le Grand
IPC: H04W4/02
CPC classification number: H04W4/023
Abstract: The present disclosure describes methods, systems, and apparatuses for determining the distance between two wireless scans of a mobile computing device. The distance is determined by scanning for wireless networks with a computing device. The scanning includes a receiving a plurality of network attributes for each wireless networks within the range of the mobile computing device. Further, the distance is determined by comparing the plurality of network attributes from the scanning with a reference set of network attributes. The comparing of network attributes is used to determine an attribute comparison. Finally, the distance between a position associated with the reference set of network attributes and the computing device, based on the attribute comparison, determines a position associated with the network.
Abstract translation: 本公开描述了用于确定移动计算设备的两次无线扫描之间的距离的方法，系统和装置。 通过用计算设备扫描无线网络来确定距离。 扫描包括为移动计算设备的范围内的每个无线网络接收多个网络属性。 此外，通过将来自扫描的多个网络属性与网络属性的参考集进行比较来确定距离。 网络属性的比较用于确定属性比较。 最后，基于属性比较，与参考网络属性相关联的位置与计算设备之间的距离确定与网络相关联的位置。
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19.发明授权公开(公告)号：US08768618B1
公开(公告)日：2014-07-01
申请号：US13936202
申请日：2013-07-07
Applicant: Google Inc.
CPC classification number: G01S19/48 , G01S5/0257 , G01S5/0278
Abstract: Methods and systems for determining a location of a mobile device using a multi-modal Kalman filter are described. According to an example method, a mobile device may maintain multiple approximations of a location of a mobile device. Each approximation includes an estimated geographic location of the mobile device that is determined by filtering a respective subset of location estimates received by the mobile device using a respective Kalman filter, and one of the multiple approximations is designated as an active approximation. The method also involves receiving data indicating an estimate of a geographic location of the mobile device and, based on a distance between the estimate of the geographic location and a given approximation of the multiple approximations, updating the given approximation using the estimate of the geographic location. Additionally, the method involves providing for display a visual indication of an estimated geographic location associated with the active approximation.
Abstract translation: 描述了使用多模态卡尔曼滤波器来确定移动设备的位置的方法和系统。 根据示例性方法，移动设备可以维护移动设备的位置的多个近似。 每个近似包括通过使用相应的卡尔曼滤波器过滤由移动设备接收的位置估计的相应子集确定的移动设备的估计地理位置，并且将多个近似中的一个指定为主动近似。 该方法还包括接收指示移动设备的地理位置的估计的数据，并且基于地理位置的估计与多个近似的给定近似之间的距离，使用地理位置的估计来更新给定的近似 。 另外，该方法包括提供显示与主动近似相关联的估计地理位置的视觉指示。
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公开(公告)号：US09838847B2
公开(公告)日：2017-12-05
申请号：US14843955
申请日：2015-09-02
Applicant: Google Inc.
Inventor： Brian John Julian , Etienne Le Grand , Brian Patrick Williams
CPC classification number: H04W4/029 , H04L41/142 , H04L43/08 , H04W4/023
Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on trained Gaussian processes. A computing device can determine trained Gaussian processes related to wireless network signal strengths, where a particular trained Gaussian process is associated with one or more hyperparameters. The computing device can designate one or more hyperparameters. The computing device can determine a hyperparameter histogram for values of the designated hyperparameters of the trained Gaussian processes. The computing device can determine a candidate Gaussian process associated with one or more candidate hyperparameter value for the designated hyperparameters. The computing device can determine whether the candidate hyperparameter values are valid based on the hyperparameter histogram. The computing device can, after determining that the candidate hyperparameter values are valid, add the candidate Gaussian process to the trained Gaussian processes. The computing device can provide an estimated location output based on the trained Gaussian processes.
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