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    • 1. 发明申请
    • TIERED DELIVERY OF LOCATION DATA
    • 定位数据交付
    • WO2014120468A1
    • 2014-08-07
    • PCT/US2014/011921
    • 2014-01-16
    • APPLE INC.
    • MARTI, Lukas M.MAYOR, RobertMA, Shannon M.
    • G01S5/02H04W4/02H04W64/00
    • H04W4/025G01S5/0236G01S5/0252H04W4/043H04W4/046H04W64/00
    • Techniques of delivering location data are described. A location server can receive, from a mobile device, a request for location data for determining a location of the mobile device at a venue. The request can include an estimated location of the mobile device. The location server can provide to the mobile device coarse location data for each venue that is located within a threshold distance to the estimated location of the mobile device. The coarse location data can include a list of coarse tiles at each venue, and parameters of a probability distribution function for determining in which tile of the venue the mobile device is located based on signals detected by the mobile device. The location server can the provide location fingerprint data associated with the tile and neighboring tiles to the mobile device. The mobile can use the location fingerprint data to determine a more detailed location.
    • 描述了传送位置数据的技术。 位置服务器可以从移动设备接收用于确定移动设备在场地的位置的位置数据的请求。 该请求可以包括移动设备的估计位置。 位置服务器可以向移动设备提供位于距移动设备的估计位置的阈值距离内的每个场所的粗略位置数据。 粗略位置数据可以包括每个场地的粗瓦片的列表,以及用于基于由移动设备检测到的信号来确定移动设备所在场所的哪个瓦片的概率分布功能的参数。 位置服务器可以向移动设备提供与瓦片和相邻瓦片相关联的位置指纹数据。 移动台可以使用位置指纹数据来确定更详细的位置。
    • 2. 发明申请
    • LOCATION DETERMINATION USING A STATE SPACE ESTIMATOR
    • 使用状态空间估计器的位置确定
    • WO2014092995A1
    • 2014-06-19
    • PCT/US2013/071637
    • 2013-11-25
    • APPLE INC.
    • MARTI, Lukas M.MAYOR, RobertMA, Shannon M.
    • G01S5/02
    • H04W4/025G01S5/0252G01S5/0278G01S5/0294
    • Methods, program products, and systems for using a location fingerprint database to determine a location of a mobile device are described. A mobile device can use location fingerprint data and readings of a sensor to obtain a location observation. The mobile device can use the location observation in a particle filter for determining a location of the mobile device at a venue. Using state of movement of the mobile device and a map of the venue, the mobile device can determine one or more candidate locations of the device. The mobile device can then update the candidate locations using a next observation, and determine a probability density function based on the candidate locations. The mobile device can then present to a user a most probable location as a current location of the device in the venue.
    • 描述了使用位置指纹数据库来确定移动设备的位置的方法,程序产品和系统。 移动设备可以使用位置指纹数据和传感器的读数来获得位置观察。 移动设备可以使用粒子滤波器中的位置观测来确定移动设备在场地的位置。 使用移动设备的移动状态和场所的地图,移动设备可以确定设备的一个或多个候选位置。 然后,移动设备可以使用下一个观察来更新候选位置,并且基于候选位置来确定概率密度函数。 然后,移动设备可以将最可能的位置呈现给用户作为场地中设备的当前位置。
    • 3. 发明申请
    • REDUCTION OF THE IMPACT OF HARD LIMIT CONSTRAINTS IN STATE SPACE MODELS
    • 减少硬限制在国家空间模型中的影响
    • WO2014085137A1
    • 2014-06-05
    • PCT/US2013/070738
    • 2013-11-19
    • APPLE INC.
    • MARTI, Lukas M.MA, Shannon M.
    • G01S5/02
    • G01C21/00G01S5/0252G01S5/0278G01S5/0294
    • Location of mobile device in venue is estimated by using state space estimator to determine candidate locations of the mobile device at first time point based on previous candidate positions conditioned upon observation of one or more environmental variables. Second observation is received at second time point, and the state space estimator performs propagation step to determine the candidate locations at the second time point based on the candidate locations at the first time point and the second observation. The propagation step includes sub-propagation steps in which time length between the sub-propagation steps is a fraction of the time length between the first and second time points, and at each sub-propagation step each candidate location is propagated according to a stochastic process. The location of the mobile device at the second time point is determined based on the candidate locations at the second time point.
    • 通过使用状态空间估计器来估计移动设备在场地中的位置,以基于观察一个或多个环境变量的先前候选位置,在第一时间点确定移动设备的候选位置。 在第二时间点接收到第二次观察,状态空间估计器基于第一时间点和第二次观察时的候选位置,执行传播步骤,确定第二时间点的候选位置。 传播步骤包括子传播步骤,其中子传播步骤之间的时间长度是第一和第二时间点之间的时间长度的一部分,并且在每个子传播步骤中,每个候选位置根据随机过程传播 。 基于第二时间点的候选位置来确定移动设备在第二时间点的位置。
    • 4. 发明申请
    • DETERMINING PREFERENTIAL DEVICE BEHAVIOR
    • 确定优先设备行为
    • WO2014074841A1
    • 2014-05-15
    • PCT/US2013/069183
    • 2013-11-08
    • APPLE INC.
    • MARTI, Lukas M.HUANG, Ronald KeryuanMA, Shannon M.
    • G06N99/00
    • G06N99/005
    • Systems, methods and computer program products are disclosed for machine learning to determine preferential device behavior. In some implementations, a server receives inputs, including attributes from a client device, crowd-sourced data from a number of other devices and a priori knowledge. The server includes a concept engine that applies machine-learning process to the inputs. The output of the machine learning process is transported to the client device. At the client device, a client engine associates attributes observed at the device to the machine learning output to determine a user profile. Applications may access the user profile to determine preferential device behavior, such as provide targeted information to the user or take action on the device that is personalized to the user of the device.
    • 公开了用于机器学习的系统,方法和计算机程序产品以确定优先设备行为。 在一些实现中,服务器接收来自客户端设备的输入,来自多个其他设备的来源数据和先验知识的输入。 服务器包括一个将机器学习过程应用于输入的概念引擎。 机器学习过程的输出被传送到客户端设备。 在客户端设备中,客户端引擎将设备观察到的属性与机器学习输出相关联,以确定用户配置文件。 应用程序可以访问用户简档以确定优先的设备行为,例如向用户提供有针对性的信息或对设备的用户个性化的设备采取行动。
    • 6. 发明申请
    • PROXIMITY FENCE
    • 临近性
    • WO2014151089A1
    • 2014-09-25
    • PCT/US2014/024958
    • 2014-03-12
    • APPLE INC.
    • MARTI, Lukas M.MA, Shannon M.MAYOR, RobertPRATS, AugustinEDMONDS, Christopher J.TUCKER, Brian J.LINDE, JoakimKAZEMI, Pejman Lotfali
    • H04W4/02
    • H04W4/021H04B17/318H04W4/023H04W4/80H04W8/18H04W40/244H04W88/02
    • 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.
    • 靠近栅栏可以是由不具有地理位置信息的信号源定义的不可知位置。 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。
    • 7. 发明申请
    • REDUCING LOCATION SEARCH SPACE
    • 减少位置搜索空间
    • WO2014120469A1
    • 2014-08-07
    • PCT/US2014/011922
    • 2014-01-16
    • APPLE INC.
    • MARTI, Lukas M.MAYOR, RobertMA, Shannon M.
    • G01S5/02H04W4/02H04W64/00
    • H04W4/04G01S5/0236G01S5/0252H04W4/025H04W64/00
    • 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.
    • 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。
    • 9. 发明申请
    • RANGE-FREE PROXIMITY DETERMINATION
    • 无范围的近似确定
    • WO2015109114A1
    • 2015-07-23
    • PCT/US2015/011641
    • 2015-01-15
    • APPLE INC.
    • KAZEMI, Pejman LotfaliMARTI, Lukas M.MAYOR, RobertMA, Shannon M.HUANG, Ronald K.
    • G01S5/02
    • H04W4/022G01S5/02G01S5/0252H04W64/006
    • Techniques of range free proximity determination are described. A mobile device can determine an entry into or exit from a proximity fence upon determining that the mobile device is sufficiently close to a signal source. The proximity fence can be a virtual fence defined by the signal source and associated with a service. The mobile device can detect signals from multiple signal sources. The mobile device can determine that, among the signal sources, one or more signal sources are located closest to the mobile device based on a ranking of the signal sources using signal strength. The mobile device can determine a probability indicating a confident level of the ranking. The mobile device can determine that the mobile device entered or exited a proximity fence associated with a highest ranked signal source satisfying a confidence threshold.
    • 描述了无范围测距的技术。 在确定移动设备足够接近信号源之后,移动设备可以确定进入或离开邻近栅栏的入口。 邻近栅栏可以是由信号源定义并与服务相关联的虚拟栅栏。 移动设备可以检测来自多个信号源的信号。 移动设备可以基于使用信号强度的信号源的等级来确定信号源中的一个或多个信号源位于最靠近移动设备的位置。 移动设备可以确定指示排名的可信度水平的概率。 移动设备可以确定移动设备进入或退出与满足置信阈值的最高排名信号源相关联的接近栅栏。
    • 10. 发明申请
    • CATEGORY-BASED FENCE
    • 基于类别的科学
    • WO2014197320A1
    • 2014-12-11
    • PCT/US2014/040265
    • 2014-05-30
    • APPLE INC.
    • MARTI, Lukas M.MA, Shannon M.
    • G06F9/48H04W4/02
    • H04M1/72572G06F8/00G06F9/445G06F9/4843H04W4/021H04W4/043H04W4/06H04W4/33H04W4/50H04W4/80H04W24/02Y02D10/43
    • 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.
    • 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。