Data driven composite location system using modeling and inference methods
    1.
    发明授权
    Data driven composite location system using modeling and inference methods 有权
    数据驱动复合定位系统采用建模和推理方法

    公开(公告)号:US09507747B2

    公开(公告)日:2016-11-29

    申请号:US13289543

    申请日:2011-11-04

    摘要: Embodiments respond to a position inference request from a computing device to determine a location of a computing device. The position inference request received from the computing device identifies a set of beacons observed by the computing device. A geographic area is estimated in which the computing device is located using the set of beacons. At least one location method is selected to identify a location of the computing device within the geographic area. In some cases two or more location methods may be employed and their results combined using, for example, a weighting function. The location of the computing device is determined within the geographic area using the set of beacons and the selected location method(s). The location that is determined is communicated to the computing device.

    摘要翻译: 实施例响应来自计算设备的位置推断请求以确定计算设备的位置。 从计算设备接收的位置推断请求标识由计算设备观察到的一组信标。 使用一组信标估计计算设备所在的地理区域。 选择至少一个位置方法来识别该地理区域内的计算设备的位置。 在一些情况下,可以使用两个或多个位置方法,并且使用例如加权函数将它们的结果组合。 使用一组信标和所选择的位置方法在地理区域内确定计算设备的位置。 确定的位置被传送到计算设备。

    MODELING AND LOCATION INFERENCE BASED ON ORDERED BEACON SETS
    2.
    发明申请
    MODELING AND LOCATION INFERENCE BASED ON ORDERED BEACON SETS 有权
    基于订单BEACON集的建模和位置推理

    公开(公告)号:US20120286997A1

    公开(公告)日:2012-11-15

    申请号:US13106874

    申请日:2011-05-13

    IPC分类号: G01S5/02

    CPC分类号: G01S5/0252

    摘要: Embodiments order observed beacons based on relative signal strength to create a correspondence between beacon sets and positions. A computing device such as a mobile device provides a positioned observation including a plurality of observed beacons and a position of the mobile device during observation. The observed beacons are ordered based on quality indicators such as signal strength relative to each other. A set of the beacons are selected based on the ordering (e.g., the beacons with the strongest signal strength are selected in order). The position of the observing mobile device is associated with the beacon set to enable location inference for other devices providing observations including the same beacon set.

    摘要翻译: 实施例基于相对信号强度的观察信标,以产生信标集和位置之间的对应关系。 诸如移动设备的计算设备在观察期间提供包括多个观察到的信标的定位观察和移动设备的位置。 观察到的信标是基于诸如信号强度相对于彼此的质量指标来排序的。 基于排序来选择一组信标(例如,按顺序选择具有最强信号强度的信标)。 观察移动设备的位置与信标集合相关联,以便为提供包括相同信标集的观察的其他设备启用位置推断。

    Modeling and location inference based on ordered beacon sets
    3.
    发明授权
    Modeling and location inference based on ordered beacon sets 有权
    基于有序信标集的建模和位置推理

    公开(公告)号:US08665154B2

    公开(公告)日:2014-03-04

    申请号:US13106874

    申请日:2011-05-13

    IPC分类号: G01S3/02

    CPC分类号: G01S5/0252

    摘要: Embodiments order observed beacons based on relative signal strength to create a correspondence between beacon sets and positions. A computing device such as a mobile device provides a positioned observation including a plurality of observed beacons and a position of the mobile device during observation. The observed beacons are ordered based on quality indicators such as signal strength relative to each other. A set of the beacons are selected based on the ordering (e.g., the beacons with the strongest signal strength are selected in order). The position of the observing mobile device is associated with the beacon set to enable location inference for other devices providing observations including the same beacon set.

    摘要翻译: 实施例基于相对信号强度的观察信标,以产生信标集和位置之间的对应关系。 诸如移动设备的计算设备在观察期间提供包括多个观察到的信标的定位观察和移动设备的位置。 观察到的信标是基于诸如信号强度相对于彼此的质量指标来排序的。 基于排序来选择一组信标(例如,按顺序选择具有最强信号强度的信标)。 观察移动设备的位置与信标集合相关联,以便为提供包括相同信标集的观察的其他设备启用位置推断。

    Filtering and clustering crowd-sourced data for determining beacon positions

    公开(公告)号:US08577389B2

    公开(公告)日:2013-11-05

    申请号:US13185520

    申请日:2011-07-19

    IPC分类号: H04W68/00

    摘要: Embodiments analyze crowd-sourced data to identify a moved or moving beacon. The crowd-sourced data involving a particular beacon is filtered based on a cluster start time associated with the beacon. A clustering analysis groups the filtered crowd-sourced data for the beacon into a plurality of clusters based on spatial distance. Timestamps associated with the crowd-sourced data in the clusters are compared to select one of the clusters. The crowd-sourced data associated with the selected cluster is used to determine position information for the moved beacon. The cluster start time for the beacon is adjusted based on the earliest timestamp associated with the positioned observations corresponding to the selected cluster. Adjusting the cluster start time removes from a subsequent analysis the positioned observations associated with one or more prior positions of the beacon.

    Location determination based on weighted received signal strengths
    5.
    发明授权
    Location determination based on weighted received signal strengths 有权
    基于加权接收信号强度的位置确定

    公开(公告)号:US08559975B2

    公开(公告)日:2013-10-15

    申请号:US13252605

    申请日:2011-10-04

    IPC分类号: H04W24/00

    CPC分类号: G01S5/0252 G01S5/021

    摘要: Training datasets and test datasets consisting of observations (i.e., RSS measurements) partitioned per a mapping tile system are used to evaluate possible RSS weighting functions for each such tile. The observations from the training dataset are used to determine an optimal weighting function based on the training dataset that minimizes the error for the test data, wherein the error may be a function of the deltas between GPS positions of observations in the test dataset and predicted positions from the RSS weighted functions applied to test data. The accuracy of the optimal weighted function for each tile is characterized to determine whether to use the weighted function or an alternative (such as a non-weighted function) for subsequent inquiries.

    摘要翻译: 训练数据集和测试数据集被用于评估每个这样的瓦片可能的RSS加权函数,每个测绘数据集和测试数据集由每个映射瓦片系统划分的观测(即RSS测量)组成。 训练数据集的观测值用于确定基于最小化测试数据误差的训练数据集的最优加权函数,其中误差可以是测试数据集中观测值的GPS位置与预测位置之间的差值的函数 从RSS加权函数应用于测试数据。 每个瓦片的最佳加权函数的准确性的特征在于确定是否使用加权函数或替代(例如非加权函数)用于随后的查询。

    LOCATION DETERMINATION BASED ON WEIGHTED RECEIVED SIGNAL STRENGTHS
    6.
    发明申请
    LOCATION DETERMINATION BASED ON WEIGHTED RECEIVED SIGNAL STRENGTHS 有权
    基于加权信号强度的位置确定

    公开(公告)号:US20130023282A1

    公开(公告)日:2013-01-24

    申请号:US13252605

    申请日:2011-10-04

    IPC分类号: H04W24/00

    CPC分类号: G01S5/0252 G01S5/021

    摘要: Training datasets and test datasets consisting of observations (i.e., RSS measurements) partitioned per a mapping tile system are used to evaluate possible RSS weighting functions for each such tile. The observations from the training dataset are used to determine an optimal weighting function based on the training dataset that minimizes the error for the test data, wherein the error may be a function of the deltas between GPS positions of observations in the test dataset and predicted positions from the RSS weighted functions applied to test data. The accuracy of the optimal weighted function for each tile is characterized to determine whether to use the weighted function or an alternative (such as a non-weighted function) for subsequent inquiries.

    摘要翻译: 训练数据集和测试数据集被用于评估每个这样的瓦片可能的RSS加权函数,每个测绘数据集和测试数据集由每个映射瓦片系统划分的观测(即RSS测量)组成。 训练数据集的观测值用于确定基于最小化测试数据误差的训练数据集的最优加权函数,其中误差可以是测试数据集中观测值的GPS位置与预测位置之间的差值的函数 从RSS加权函数应用于测试数据。 每个瓦片的最佳加权函数的准确性的特征在于确定是否使用加权函数或替代(例如非加权函数)用于随后的查询。

    DATA DRIVEN COMPOSITE LOCATION SYSTEM USING MODELING AND INFERENCE METHODS
    7.
    发明申请
    DATA DRIVEN COMPOSITE LOCATION SYSTEM USING MODELING AND INFERENCE METHODS 有权
    使用建模和推理方法的数据驱动复合位置系统

    公开(公告)号:US20130116965A1

    公开(公告)日:2013-05-09

    申请号:US13289543

    申请日:2011-11-04

    IPC分类号: G06F15/00

    摘要: Embodiments respond to a position inference request from a computing device to determine a location of a computing device. The position inference request received from the computing device identifies a set of beacons observed by the computing device. A geographic area is estimated in which the computing device is located using the set of beacons. At least one location method is selected to identify a location of the computing device within the geographic area. In some cases two or more location methods may he employed and their results combined using, for example, a weighting function. The location of the computing device is determined within the geographic area using the set of beacons and the selected location method(s). The location that is determined is communicated to the computing device.

    摘要翻译: 实施例响应来自计算设备的位置推断请求以确定计算设备的位置。 从计算设备接收的位置推断请求标识由计算设备观察到的一组信标。 使用一组信标估计计算设备所在的地理区域。 选择至少一个位置方法来识别该地理区域内的计算设备的位置。 在某些情况下,他可以采用两种或多种定位方法,并且使用例如加权函数来组合它们的结果。 使用一组信标和所选择的位置方法在地理区域内确定计算设备的位置。 确定的位置被传送到计算设备。

    FILTERING AND CLUSTERING CROWD-SOURCED DATA FOR DETERMINING BEACON POSITIONS
    8.
    发明申请
    FILTERING AND CLUSTERING CROWD-SOURCED DATA FOR DETERMINING BEACON POSITIONS 有权
    滤波和聚类用于确定信标位置的CROWD-SOURCED数据

    公开(公告)号:US20120184292A1

    公开(公告)日:2012-07-19

    申请号:US13185520

    申请日:2011-07-19

    IPC分类号: H04W24/00

    摘要: Embodiments analyze crowd-sourced data to identify a moved or moving beacon. The crowd-sourced data involving a particular beacon is filtered based on a cluster start time associated with the beacon. A clustering analysis groups the filtered crowd-sourced data for the beacon into a plurality of clusters based on spatial distance. Timestamps associated with the crowd-sourced data in the clusters are compared to select one of the clusters. The crowd-sourced data associated with the selected cluster is used to determine position information for the moved beacon. The cluster start time for the beacon is adjusted based on the earliest timestamp associated with the positioned observations corresponding to the selected cluster. Adjusting the cluster start time removes from a subsequent analysis the positioned observations associated with one or more prior positions of the beacon.

    摘要翻译: 实施例分析人群来源的数据以识别移动或移动的信标。 基于与信标相关联的群集开始时间来过滤涉及特定信标的人群来源的数据。 聚类分析基于空间距离将经滤波的信标源数据分组为多个聚类。 与群集中的人群来源的数据相关联的时间戳进行比较,以选择一个集群。 与所选择的群集相关联的人群来源的数据用于确定移动的信标的位置信息。 基于与所选择的集群对应的定位观察相关联的最早时间戳来调整信标的集群开始时间。 调整群集开始时间从随后的分析中移除与信标的一个或多个先前位置相关联的定位观察。

    Signaling support for sharer switching in application sharing
    9.
    发明授权
    Signaling support for sharer switching in application sharing 有权
    信令支持共享转换应用程序共享

    公开(公告)号:US08112480B2

    公开(公告)日:2012-02-07

    申请号:US12354792

    申请日:2009-01-16

    IPC分类号: G06F15/16

    摘要: Architecture for seamless role switching in application sharing. A multipoint control unit (MCU) can be used for connecting multiple clients over a network. An application sharing component establishes an application sharing session over the MCU, and application content is exchanged from a sharer client to one or more viewer clients. Each client can communicate a media connection preference to the session. Client sharer and viewer roles are defined during creation of the application sharing session. A client can seamlessly switch roles during the session from a viewer to a sharer, and vice-versa, so that different application content can be shared to the session viewers. The session can be restricted to only one sharer so that the viewing clients view one sharer client at a time.

    摘要翻译: 应用程序共享中无缝角色切换的架构。 多点控制单元(MCU)可用于通过网络连接多个客户端。 应用程序共享组件通过MCU建立应用程序共享会话,应用程序内容从共享者客户端交换到一个或多个查看器客户端。 每个客户端都可以向会话传递媒体连接首选项。 在创建应用程序共享会话期间定义客户端共享器和查看器角色。 客户端可以在会话期间将角色从查看器无缝切换到共享者,反之亦然,因此不同的应用程序内容可以共享给会话查看者。 会话只能被限制为一个共享者,以便查看客户端一次查看一个共享客户端。