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公开(公告)号：US09998877B2
公开(公告)日：2018-06-12
申请号：US14981633
申请日：2015-12-28
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Shannon M. Ma
CPC classification number: H04W4/33 , G01C21/206 , G01S5/0252 , G01S5/0278 , G01S5/0294 , H04W4/043
Abstract: Methods, program products, and systems for estimating a location of a mobile device in a venue are provided. The venue can have pathways represented by a path network that includes segments connected by junctions. Estimating the location can include determining a first set of candidate locations for the mobile device, and mapping some of the candidate locations to updated candidate locations that are on or closer to one or more segments of the path network based on distances between the candidate locations and respective segments, resulting in a second set of candidate locations for the mobile device. The location of the mobile device can be derived from the second set of candidate locations.
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公开(公告)号：US09769107B2
公开(公告)日：2017-09-19
申请号：US14070341
申请日：2013-11-01
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Shannon M. Ma , Michael P. Dal Santo
CPC classification number: H04L51/32
Abstract: Techniques for lifestyle-based social groups are described. A user device can learn movement patterns of the user device. Based on the movement pattern, and a user activity history, a computer system can determine a lifestyle of a user, or a meaning of a location. The system can create a social group based on the lifestyle and the meaning of location. The system can designate the lifestyle or meaning as a theme of the social group. The social group can be an ad hoc social network. For example, the social group can be created without an explicit user request, can be anonymous, and can be lifestyle and location based.
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公开(公告)号：US09749797B2
公开(公告)日：2017-08-29
申请号：US15263248
申请日：2016-09-12
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Shannon M. Ma , Robert Mayor , Augustin Prats , Brian J. Tucker , Christopher J. Edmonds , Joakim Linde , Pejman Lotfali Kazemi
CPC classification number: H04W4/021 , H04B17/318 , H04W4/023 , H04W4/80 , H04W8/18 , H04W40/244 , H04W88/02
Abstract: A proximity fence can be a location-agnostic fence defined by signal sources having no geographic location information. The proximity fence can correspond to a group of signal sources instead of a point location fixed to latitude and longitude coordinates. A signal source can be a radio frequency (RF) transmitter broadcasting a beacon signal. The beacon signal can include a payload that includes an identifier indicating a category to which the signal source belongs, and one or more labels indicating one or more subcategories to which the signal source belongs. The proximity fence defined by the group of signal sources can trigger different functions of application programs associated with the proximity fence on a mobile device, when the mobile device moves within the proximity fence and enters and exits different parts of the proximity fence corresponding to the different subcategories.
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公开(公告)号：US09525771B2
公开(公告)日：2016-12-20
申请号：US14942907
申请日：2015-11-16
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Shannon M. Ma
CPC classification number: H04M1/72572 , G06F8/00 , G06F9/445 , G06F9/4843 , H04W4/021 , H04W4/043 , H04W4/06 , H04W4/33 , H04W4/50 , H04W4/80 , H04W24/02 , Y02D10/43
Abstract: Techniques of category-based fence are described. A category-based fence can correspond to a group of signal sources instead of a point location fixed to latitude and longitude coordinates. The group of signal sources can represent a category of entities, e.g., a particular business chain. The signal sources can be distributed to multiple discrete locations. A category-based fence associated with the group, accordingly, can correspond to multiple locations instead of a single point location and a radius. Each signal source in the group can be associated with a category identifier unique to the group and uniform among signal sources in the group. The category identifier can be programmed into each signal source. A mobile device can enter the category-based fence by entering any of the discrete locations when the mobile device detects the signal identifier. The mobile device can then execute an application program associated with the category-based fence.
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公开(公告)号：US09460388B2
公开(公告)日：2016-10-04
申请号：US13905552
申请日：2013-05-30
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Shannon M. Ma , Pejman Lotfali Kazemi
IPC: G06N5/02 , G01S11/06 , H04B17/26 , H04B17/27 , H04B17/318 , H04B17/391
CPC classification number: G06N5/02 , G01S11/06 , H04B17/26 , H04B17/27 , H04B17/318 , H04B17/3911
Abstract: Implementations are disclosed for obtaining a range state of a device operating in an indoor environment with radio frequency (RF) signal sources. In some implementations, windowed signal measurements obtained from RF signals transmitted by an RF signal source are classified into range classes that are defined by threshold values obtained from a RF signal propagation model. A range class observation is obtained by selecting a range class among a plurality of range classes based on a percentage of a total number of windowed signal measurements that are associated with the range class. The range class observation is provided as input to a state estimator that estimates a range class that accounts for process and/or measurement noise. The output of the state estimator is provided as input to a state machine.
Abstract translation: 公开了实现用于获得在具有射频（RF）信号源的室内环境中工作的设备的范围状态。 在一些实施方案中，从由RF信号源发送的RF信号获得的窗口信号测量被分类为由从RF信号传播模型获得的阈值定义的范围等级。 通过基于与范围类别相关联的窗口化信号测量的总数的百分比来选择多个范围类别中的范围类别来获得范围类观察。 范围类观察被提供给估计考虑过程和/或测量噪声的范围类的状态估计器的输入。 状态估计器的输出被提供给状态机的输入。
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Patent Agency Ranking
公开(公告)号：US09445235B2
公开(公告)日：2016-09-13
申请号：US14826172
申请日：2015-08-13
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Shannon M. Ma , Robert Mayor , Augustin Prats , Brian J. Tucker , Christopher J. Edmonds , Joakim Linde , Pejman Lotfali Kazemi
CPC classification number: H04W4/021 , H04B17/318 , H04W4/023 , H04W4/80 , H04W8/18 , H04W40/244 , H04W88/02
Abstract: A proximity fence can be a location-agnostic fence defined by signal sources having no geographic location information. The proximity fence can correspond to a group of signal sources instead of a point location fixed to latitude and longitude coordinates. A signal source can be a radio frequency (RF) transmitter broadcasting a beacon signal. The beacon signal can include a payload that includes an identifier indicating a category to which the signal source belongs, and one or more labels indicating one or more subcategories to which the signal source belongs. The proximity fence defined by the group of signal sources can trigger different functions of application programs associated with the proximity fence on a mobile device, when the mobile device moves within the proximity fence and enters and exits different parts of the proximity fence corresponding to the different subcategories.
Abstract translation: 靠近栅栏可以是由不具有地理位置信息的信号源定义的与位置无关的栅栏。 接近栅栏可以对应于一组信号源，而不是固定在纬度和经度坐标上的点位置。 信号源可以是广播信标信号的射频（RF）发射机。 信标信号可以包括包括指示信号源所属的类别的标识符和指示信号源所属的一个或多个子类别的一个或多个标签的有效载荷。 当移动设备在邻近围栏内移动并进入和离开对应于不同的邻近栅栏的不同部分时，由信号源组定义的邻近栅栏可以触发与移动设备上的邻近栅栏相关联的应用程序的不同功能 子类别。
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公开(公告)号：US20160142531A1
公开(公告)日：2016-05-19
申请号：US14942907
申请日：2015-11-16
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Shannon M. Ma
CPC classification number: H04M1/72572 , G06F8/00 , G06F9/445 , G06F9/4843 , H04W4/021 , H04W4/043 , H04W4/06 , H04W4/33 , H04W4/50 , H04W4/80 , H04W24/02 , Y02D10/43
Abstract: Techniques of category-based fence are described. A category-based fence can correspond to a group of signal sources instead of a point location fixed to latitude and longitude coordinates. The group of signal sources can represent a category of entities, e.g., a particular business chain. The signal sources can be distributed to multiple discrete locations. A category-based fence associated with the group, accordingly, can correspond to multiple locations instead of a single point location and a radius. Each signal source in the group can be associated with a category identifier unique to the group and uniform among signal sources in the group. The category identifier can be programmed into each signal source. A mobile device can enter the category-based fence by entering any of the discrete locations when the mobile device detects the signal identifier. The mobile device can then execute an application program associated with the category-based fence.
Abstract translation: 描述基于类别的围栏的技术。 基于类别的围栏可以对应于一组信号源，而不是固定在纬度和经度坐标上的点位置。 信号源组可以表示实体的类别，例如特定的业务链。 信号源可以分布到多个离散位置。 相应地，与组相关联的基于类别的栅栏可以对应于多个位置而不是单个点位置和半径。 组中的每个信号源可以与组中唯一的类别标识相关联，并且在组中的信号源之间是均匀的。 类别标识符可以编程到每个信号源中。 当移动设备检测到信号标识符时，移动设备可以通过输入任何离散位置来进入基于类别的围栏。 然后，移动设备可以执行与基于类别的围栏相关联的应用程序。
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公开(公告)号：US20160021514A1
公开(公告)日：2016-01-21
申请号：US14868732
申请日：2015-09-29
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Robert Mayor , Shannon M. Ma
CPC classification number: H04W4/04 , G01C21/206 , G01S5/0252 , G06F3/048 , H04M1/00 , H04W48/16 , H04W88/02 , H04W88/08
Abstract: Surveying techniques for generating location fingerprint data are described. A mobile device can survey a venue by measuring, at multiple locations at the venue, signals from one or more signal sources. At each location, the mobile device can take multiple measurements of signals. The mobile device can take each measurement at a distinct orientation. The measurements can be used to determine expected measurements of the signals at the venue. Differences between the multiple measurements of signals can be used to determine a variance of the expected measurements. The expected measurements and variance can be designated as location fingerprint data for the venue. The location fingerprint data can be used by mobile devices for determining a location at the venue.
Abstract translation: 描述了生成位置指纹数据的测量技术。 移动设备可以通过在场地的多个位置处测量来自一个或多个信号源的信号来测量场地。 在每个位置，移动设备可以进行多个信号测量。 移动设备可以以不同的方向进行每次测量。 测量可用于确定场地信号的预期测量。 信号的多重测量之间的差异可用于确定预期测量的方差。 预期的测量和方差可以被指定为场地的位置指纹数据。 位置指纹数据可以由移动设备用于确定场地的位置。
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公开(公告)号：US09226111B2
公开(公告)日：2015-12-29
申请号：US13683474
申请日：2012-11-21
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Shannon M. Ma
CPC classification number: H04W4/33 , G01C21/206 , G01S5/0252 , G01S5/0278 , G01S5/0294 , H04W4/043
Abstract: Methods, program products, and systems for estimating a location of a mobile device in a venue are provided. The venue can have pathways represented by a path network that includes segments connected by junctions. Estimating the location can include determining a first set of candidate locations for the mobile device, and mapping some of the candidate locations to updated candidate locations that are on or closer to one or more segments of the path network based on distances between the candidate locations and respective segments, resulting in a second set of candidate locations for the mobile device. The location of the mobile device can be derived from the second set of candidate locations.
Abstract translation: 提供了用于估计场地中的移动设备的位置的方法，程序产品和系统。 场地可以具有路径网络所代表的路径，该路径网络包括通过路口连接的段。 估计位置可以包括确定用于移动设备的候选位置的第一组，以及基于候选位置之间的距离，以及将候选位置中的某些候选位置映射到位于或接近路径网络的一个或多个段的更新候选位置 导致移动设备的第二组候选位置。 可以从第二组候选位置导出移动设备的位置。
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公开(公告)号：US09179265B2
公开(公告)日：2015-11-03
申请号：US13756470
申请日：2013-01-31
Applicant: Apple Inc.
Inventor： Lukas M. Marti , Robert Mayor , Shannon M. Ma
CPC classification number: H04W4/04 , G01S5/0236 , G01S5/0252 , H04W4/025 , H04W64/00
Abstract: Methods, program products, and systems for reducing a location search space are described. A mobile device, when arriving at a venue, can determine a location of the mobile device using signals from one or more signal sources associated with the venue. The mobile device can use a coarse location estimator to estimate a coarse location of the mobile device at the venue. The mobile device can request, from a server, detailed location data associated with the coarse location. The detailed location data can include location fingerprint data associated with a portion of the venue that includes the coarse location. The mobile device can determine an estimated location that has finer granularity than the coarse location using the location fingerprint data.
Abstract translation: 描述了用于减少位置搜索空间的方法，程序产品和系统。 移动设备在到达场地时可以使用来自与场地相关联的一个或多个信号源的信号来确定移动设备的位置。 移动设备可以使用粗略位置估计器来估计移动设备在场地的粗略位置。 移动设备可以从服务器请求与粗略位置相关联的详细位置数据。 详细的位置数据可以包括与包括粗略位置的场地的一部分相关联的位置指纹数据。 使用位置指纹数据，移动设备可以确定具有比粗略位置更精细的粒度的估计位置。
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