Coarse Location Estimation for Mobile Devices
    1.
    发明申请
    Coarse Location Estimation for Mobile Devices 审中-公开
    移动设备的粗位置估计

    公开(公告)号:US20160062949A1

    公开(公告)日:2016-03-03

    申请号:US14479228

    申请日:2014-09-05

    Applicant: Apple Inc.

    CPC classification number: H04W64/00 G01S5/0263 G01S5/0273 G01S19/48 H04W4/029

    Abstract: Coarse location estimation for mobile devices is disclosed for detecting mobile device presence at general locations of interest and switching operating modes and services for one or more location context aware applications. In some implementations, sensor data is received from a plurality of data sources at a location. For each data source, a first probability is estimated that the mobile device is at the location based on sensor data from the data sources. A second probability is estimated that the mobile device is not at the location based on sensor data from the data sources. The first and second estimated probabilities are statistically combined to generate a third estimated probability that the mobile device is at the location.

    Abstract translation: 公开了用于移动设备的粗位置估计,用于检测感兴趣的一般位置处的移动设备存在以及用于一个或多个位置上下文感知应用的切换操作模式和服务。 在一些实现中,在一个位置从多个数据源接收传感器数据。 对于每个数据源,估计基于来自数据源的传感器数据的移动设备处于该位置的第一概率。 估计基于来自数据源的传感器数据的移动设备不在该位置的第二概率。 第一和第二估计概率被统计组合以产生移动设备在该位置的第三估计概率。

    Coarse location estimation for mobile devices

    公开(公告)号:US10681666B2

    公开(公告)日:2020-06-09

    申请号:US14479228

    申请日:2014-09-05

    Applicant: Apple Inc.

    Abstract: Coarse location estimation for mobile devices is disclosed for detecting mobile device presence at general locations of interest and switching operating modes and services for one or more location context aware applications. In some implementations, sensor data is received from a plurality of data sources at a location. For each data source, a first probability is estimated that the mobile device is at the location based on sensor data from the data sources. A second probability is estimated that the mobile device is not at the location based on sensor data from the data sources. The first and second estimated probabilities are statistically combined to generate a third estimated probability that the mobile device is at the location.

    Location determination using dual statistical filters
    4.
    发明授权
    Location determination using dual statistical filters 有权
    使用双统计滤波器进行位置确定

    公开(公告)号:US09491585B2

    公开(公告)日:2016-11-08

    申请号:US14292859

    申请日:2014-05-31

    Applicant: Apple Inc.

    CPC classification number: H04W4/04

    Abstract: Methods, systems, and computer program product for location determination using dual statistical filters are described. A mobile device can determine a location of the mobile device using a particle filter and a Kalman filter. The particle filter can filter candidate locations of the mobile device using measurements of environment variables in the venue. The Kalman filter can filter inputs from a sensor of the mobile device for measuring angular movement of the mobile device. The particle filter and the Kalman filter can be linked by heading of the mobile device. Output of the Kalman filter can be used to determine where to place particles, or candidate locations, in a next iteration of the particle filter. Output from the particle filter can be used to determine a center mode of the Kalman filter and to determine a bias of the sensor for measuring angular movement.

    Abstract translation: 描述了使用双统计滤波器进行位置确定的方法,系统和计算机程序产品。 移动设备可以使用粒子滤波器和卡尔曼滤波器来确定移动设备的位置。 粒子滤波器可以使用场地中环境变量的测量来过滤移动设备的候选位置。 卡尔曼滤波器可以对来自移动设备的传感器的输入进行滤波,以测量移动设备的角度运动。 粒子滤波器和卡尔曼滤波器可以通过移动设备的标题链接。 可以使用卡尔曼滤波器的输出来确定在粒子滤波器的下一次迭代中放置颗粒或候选位置的位置。 可以使用粒子滤波器的输出来确定卡尔曼滤波器的中心模式,并确定用于测量角运动的传感器的偏置。

    Location Determination Using Dual Statistical Filters
    5.
    发明申请
    Location Determination Using Dual Statistical Filters 有权
    使用双统计滤波器的位置确定

    公开(公告)号:US20150350849A1

    公开(公告)日:2015-12-03

    申请号:US14292859

    申请日:2014-05-31

    Applicant: Apple Inc.

    CPC classification number: H04W4/04

    Abstract: Methods, systems, and computer program product for location determination using dual statistical filters are described. A mobile device can determine a location of the mobile device using a particle filter and a Kalman filter. The particle filter can filter candidate locations of the mobile device using measurements of environment variables in the venue. The Kalman filter can filter inputs from a sensor of the mobile device for measuring angular movement of the mobile device. The particle filter and the Kalman filter can be linked by heading of the mobile device. Output of the Kalman filter can be used to determine where to place particles, or candidate locations, in a next iteration of the particle filter. Output from the particle filter can be used to determine a center mode of the Kalman filter and to determine a bias of the sensor for measuring angular movement.

    Abstract translation: 描述了使用双统计滤波器进行位置确定的方法,系统和计算机程序产品。 移动设备可以使用粒子滤波器和卡尔曼滤波器来确定移动设备的位置。 粒子滤波器可以使用场地中环境变量的测量来过滤移动设备的候选位置。 卡尔曼滤波器可以对来自移动设备的传感器的输入进行滤波,以测量移动设备的角度运动。 粒子滤波器和卡尔曼滤波器可以通过移动设备的标题链接。 可以使用卡尔曼滤波器的输出来确定在粒子滤波器的下一次迭代中放置颗粒或候选位置的位置。 可以使用粒子滤波器的输出来确定卡尔曼滤波器的中心模式,并确定用于测量角运动的传感器的偏置。

    Deduplicating Location Fingerprint Data
    6.
    发明申请
    Deduplicating Location Fingerprint Data 有权
    重复数据删除位置指纹数据

    公开(公告)号:US20150346317A1

    公开(公告)日:2015-12-03

    申请号:US14292853

    申请日:2014-05-31

    Applicant: Apple Inc.

    CPC classification number: G01S5/0289 G01S5/0252 G01S5/0284 G01S5/0294 H04W4/02

    Abstract: Methods, systems, and computer program product for deduplicating location fingerprint data for a venue are described. A system including a location server, or a mobile device, or both, can deduplicate the location fingerprint data. Deduplicating the location fingerprint data can include identifying correlated signal sources the signals of which are mutually dependent such that measurements of one signal source can be used to predict measurements of another. The system can determine a mutual information entropy value for each pair of signal sources, and identify the correlated signal sources based on high mutual information entropy value. The system can adjust weights of the correlated signal sources in location determination

    Abstract translation: 描述了用于对场地进行重复数据删除位置指纹数据的方法,系统和计算机程序产品。 包括位置服务器或移动设备或两者的系统可以对位置指纹数据进行重复数据删除。 对位置指纹数据进行重复数据删除可以包括识别信号相互依赖的相关信号源,使得可以使用一个信号源的测量来预测另一信号源的测量。 该系统可以确定每对信号源的互信息熵值,并且基于高互信息熵值来识别相关信号源。 该系统可以在位置确定中调整相关信号源的权重

    Deduplicating location fingerprint data
    8.
    发明授权
    Deduplicating location fingerprint data 有权
    复制位置指纹数据

    公开(公告)号:US09304185B2

    公开(公告)日:2016-04-05

    申请号:US14292853

    申请日:2014-05-31

    Applicant: Apple Inc.

    CPC classification number: G01S5/0289 G01S5/0252 G01S5/0284 G01S5/0294 H04W4/02

    Abstract: Methods, systems, and computer program product for deduplicating location fingerprint data for a venue are described. A system including a location server, or a mobile device, or both, can deduplicate the location fingerprint data. Deduplicating the location fingerprint data can include identifying correlated signal sources the signals of which are mutually dependent such that measurements of one signal source can be used to predict measurements of another. The system can determine a mutual information entropy value for each pair of signal sources, and identify the correlated signal sources based on high mutual information entropy value. The system can adjust weights of the correlated signal sources in location determination

    Abstract translation: 描述了用于对场地进行重复数据删除位置指纹数据的方法,系统和计算机程序产品。 包括位置服务器或移动设备或两者的系统可以对位置指纹数据进行重复数据删除。 对位置指纹数据进行重复数据删除可以包括识别信号相互依赖的相关信号源,使得可以使用一个信号源的测量来预测另一信号源的测量。 该系统可以确定每对信号源的互信息熵值,并且基于高互信息熵值来识别相关信号源。 该系统可以在位置确定中调整相关信号源的权重

    Deduplicating Location Fingerprint Data
    9.
    发明申请
    Deduplicating Location Fingerprint Data 有权
    重复数据删除位置指纹数据

    公开(公告)号:US20160021498A1

    公开(公告)日:2016-01-21

    申请号:US14868813

    申请日:2015-09-29

    Applicant: Apple Inc.

    CPC classification number: G01S5/0289 G01S5/0252 G01S5/0284 G01S5/0294 H04W4/02

    Abstract: Methods, systems, and computer program product for deduplicating location fingerprint data for a venue are described. A system including a location server, or a mobile device, or both, can deduplicate the location fingerprint data. Deduplicating the location fingerprint data can include identifying correlated signal sources the signals of which are mutually dependent such that measurements of one signal source can be used to predict measurements of another. The system can determine a mutual information entropy value for each pair of signal sources, and identify the correlated signal sources based on high mutual information entropy value. The system can adjust weights of the correlated signal sources in location determination.

    Abstract translation: 描述了用于对场地进行重复数据删除位置指纹数据的方法,系统和计算机程序产品。 包括位置服务器或移动设备或两者的系统可以对位置指纹数据进行重复数据删除。 对位置指纹数据进行重复数据删除可以包括识别信号相互依赖的相关信号源,使得可以使用一个信号源的测量来预测另一信号源的测量。 该系统可以确定每对信号源的互信息熵值,并且基于高互信息熵值来识别相关信号源。 该系统可以在位置确定中调整相关信号源的权重。

    Indoor Location Survey
    10.
    发明申请
    Indoor Location Survey 有权
    室内位置调查

    公开(公告)号:US20150350845A1

    公开(公告)日:2015-12-03

    申请号:US14503153

    申请日:2014-09-30

    Applicant: Apple Inc.

    CPC classification number: H04W4/029 G01S5/021 G01S5/0236 G01S5/0252 H04W4/04

    Abstract: Methods, systems, and computer program product for generating location fingerprint data for a venue are described. A sampling device surveying a venue can move inside the venue. While the sampling device moves, the sampling device can record environmental readings including, for example, strengths of signals from multiple radio signal sources. The sampling device can take the recording at fixed or various time intervals. Meanwhile, the sampling device can determine, based on a starting point and motion sensor readings, an estimated location of the mobile device for each time the sampling device takes the recordings. The sampling device can display a motion path of the estimated locations and a user interface item for receiving a user input for correcting the estimated locations. The sample device can tag the recorded environmental readings with the corrected locations, and submit the tagged readings to a server for determining a location fingerprint for the venue.

    Abstract translation: 描述了用于为场地生成位置指纹数据的方法,系统和计算机程序产品。 调查场地的抽样装置可以在场地内移动。 当取样装置移动时,采样装置可以记录环境读数,包括例如来自多个无线电信号源的信号的强度。 采样设备可以固定或不同的时间间隔进行记录。 同时,采样装置可以基于起点和运动传感器读数,每次采样装置进行记录时,确定移动装置的估计位置。 采样设备可以显示估计位置的运动路径和用于接收用户输入的用户界面项目,用于校正估计位置。 样品设备可以用修正的位置标记记录的环境读数,并将标记的读​​数提交给服务器,以确定场地的位置指纹。

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