公开(公告)号：WO2014085137A1

公开(公告)日：2014-06-05

申请号：PCT/US2013/070738

申请日：2013-11-19

Applicant: APPLE INC.

Inventor： MARTI, Lukas M. ,  MA, Shannon M.

IPC: G01S5/02

CPC classification number: G01C21/00 ,  G01S5/0252 ,  G01S5/0278 ,  G01S5/0294

Abstract: 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.

Abstract translation: 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。

公开(公告)号：WO2014074841A1

公开(公告)日：2014-05-15

申请号：PCT/US2013/069183

申请日：2013-11-08

Applicant: APPLE INC.

Inventor： MARTI, Lukas M. ,  HUANG, Ronald Keryuan ,  MA, Shannon M.

IPC: G06N99/00

CPC classification number: G06N99/005

Abstract: 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.

Abstract translation: 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。

公开(公告)号：WO2015184184A2

公开(公告)日：2015-12-03

申请号：PCT/US2015/033049

申请日：2015-05-28

Applicant: APPLE INC.

Inventor： JENSEN, Bradley Joel ,  HUANG, Ronald K. ,  RHEE, Stephen J. ,  BRUINS, Jay N. ,  DRISCOLL, Adam M. ,  MARTI, Lukas M. ,  DAL SANTO, Michael P. ,  DILLON, Patrick Thomas ,  CAO, Lili

IPC: H04W4/02

CPC classification number: H04W4/029 ,  H04W4/021

Abstract: Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).

Abstract translation: 用于基于用户的日常移动例程由移动设备向用户提供服务的系统，方法和程序产品。 移动设备基于指示用户对集群中的位置的兴趣的一个或多个提示来确定位置集群是否指示用户的重要位置。 移动设备可以执行自适应聚类以基于多个位置在位置聚类中如何会聚来确定重要位置的面积的大小。 移动设备可以为日历项目提供基于位置的服务，包括预测到达日历项目的估计位置的时间。 移动设备可以通过应用编程接口（API）提供与移动设备的位置或用户的重要位置有关的各种服务。

公开(公告)号：WO2014120468A1

公开(公告)日：2014-08-07

申请号：PCT/US2014/011921

申请日：2014-01-16

Applicant: APPLE INC.

Inventor： MARTI, Lukas M. ,  MAYOR, Robert ,  MA, Shannon M.

IPC: G01S5/02 ,  H04W4/02 ,  H04W64/00

CPC classification number: H04W4/025 ,  G01S5/0236 ,  G01S5/0252 ,  H04W4/043 ,  H04W4/046 ,  H04W64/00

Abstract: 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.

Abstract translation: 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。

公开(公告)号：WO2014092995A1

公开(公告)日：2014-06-19

申请号：PCT/US2013/071637

申请日：2013-11-25

Applicant: APPLE INC.

Inventor： MARTI, Lukas M. ,  MAYOR, Robert ,  MA, Shannon M.

IPC: G01S5/02

CPC classification number: H04W4/025 ,  G01S5/0252 ,  G01S5/0278 ,  G01S5/0294

Abstract: 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.

Abstract translation: 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。

公开(公告)号：WO2015035185A1

公开(公告)日：2015-03-12

申请号：PCT/US2014/054320

申请日：2014-09-05

Applicant: APPLE INC.

Inventor： JOUAUX, Francois M. ,  CHITTA, Rama Krishna ,  MARTI, Lukas M. ,  DAL SANTO, Michael P. ,  HUANG, Ronald K.

IPC: G06Q90/00

CPC classification number: G01S5/0294 ,  G01C21/26 ,  G01C21/3691 ,  G06Q10/047 ,  G06Q10/101 ,  G06Q90/00 ,  G08G1/0112 ,  G08G1/0125 ,  G08G1/0141 ,  G08G1/123 ,  H04W4/023 ,  H04W4/029 ,  H04W4/046 ,  H04W88/005

Abstract: Methods, systems, and computer program products for determining transit routes through crowd-sourcing, for determining an estimated time of arrival (ETA) of a vehicle of the transit route at a given location, and for providing predictive reminders to a user for catching a vehicle of the transit route. A server receives signal source information about wireless signal sources detected by user devices, including information about a first wireless signal source detected by some devices. The server determines that the first wireless signal source is moving. The server determines that the first wireless signal source is associated with a public transit route upon determining that the signal source information satisfies one or more selection criteria. The server stores information associating the first wireless signal source with the public transit route as transit movement data corresponding to the public transit route.

Abstract translation: 用于通过人群来确定过境路线的方法，系统和计算机程序产品，用于确定在给定位置处的运输路线的车辆的估计到达时间（ETA），并且用于向用户提供预测提醒以捕获 过境路线的车辆。 服务器接收关于用户设备检测到的无线信号源的信号源信息，包括有关某些设备检测到的第一无线信号源的信息。 服务器确定第一个无线信号源正在移动。 在确定信号源信息满足一个或多个选择标准之后，服务器确定第一无线信号源与公共交通路线相关联。 服务器存储将第一无线信号源与公共交通路线相关联的信息作为与公共交通路线对应的过境运动数据。

公开(公告)号：WO2014092997A1

公开(公告)日：2014-06-19

申请号：PCT/US2013/071661

申请日：2013-11-25

Applicant: APPLE INC.

Inventor： MAYOR, Robert ,  MARTI, Lukas M. ,  SHIMADA, Tadaaki ,  GROSMAN, Yefim

IPC: G01S5/14 ,  H04W64/00

CPC classification number: H04W4/023 ,  G01S5/0252 ,  G01S5/14 ,  H04W64/00

Abstract: A server can receive, from a mobile device, a reference location and one or more measurements of signal from signal sources. Each signal source is associated with a signal source location in a location database. The server can use the measurements and the signal source locations to validate the reference location. The server can use the validated reference location to validate the signal source locations, including detecting moved signal sources.

Abstract translation: 服务器可以从移动设备接收来自信号源的参考位置和信号的一个或多个测量值。 每个信号源与位置数据库中的信号源位置相关联。 服务器可以使用测量和信号源位置来验证参考位置。 服务器可以使用经过验证的参考位置来验证信号源位置，包括检测移动的信号源。

公开(公告)号：WO2012166920A1

公开(公告)日：2012-12-06

申请号：PCT/US2012/040209

申请日：2012-05-31

Applicant: APPLE INC. ,  MARTI, Lukas M. ,  MAYOR, Robert ,  HUANG, Ronald K. ,  MACGOUGAN, Glenn Donald ,  DERE, Jason ,  GROSMAN, Yefim

Inventor： MARTI, Lukas M. ,  MAYOR, Robert ,  HUANG, Ronald K. ,  MACGOUGAN, Glenn Donald ,  DERE, Jason ,  GROSMAN, Yefim

IPC: H04W24/00

CPC classification number: H04W64/006 ,  H04W4/029

Abstract: Methods, program products, and systems of location estimation using multiple wireless access gateways are disclosed. In general, in one aspect, a mobile device can scan and detect multiple wireless access gateways. The mobile device can determine an initial estimate of distance between the mobile device and each wireless access gateway. The mobile device can receive, from a server, location data of the detected wireless access gateways. The location data can include an estimated location of each wireless access gateway, an uncertainty of the estimated location, and a reach of each wireless access gateway. The mobile device can assign a weight to each estimated location using the uncertainty, the reach, and the initial estimate. The mobile device can estimate the location of the mobile device using the weighted locations.

Abstract translation: 公开了使用多个无线接入网关的方法，程序产品和位置估计系统。 通常，在一个方面，移动设备可以扫描和检测多个无线接入网关。 移动设备可以确定移动设备与每个无线接入网关之间的距离的初始估计。 移动设备可以从服务器接收检测到的无线接入网关的位置数据。 位置数据可以包括每个无线接入网关的估计位置，估计位置的不确定性以及每个无线接入网关的覆盖范围。 移动设备可以使用不确定性，覆盖范围和初始估计来为每个估计位置分配权重。 移动设备可以使用加权位置估计移动设备的位置。

公开(公告)号：WO2012166356A1

公开(公告)日：2012-12-06

申请号：PCT/US2012/038004

申请日：2012-05-15

Applicant: APPLE INC. ,  GROSMAN, Yefim ,  MARTI, Lukas M. ,  GRAINGER, Morgan ,  MAYOR, Robert ,  HUANG, Ronald K.

Inventor： GROSMAN, Yefim ,  MARTI, Lukas M. ,  GRAINGER, Morgan ,  MAYOR, Robert ,  HUANG, Ronald K.

IPC: H04W4/02

CPC classification number: H04M1/72572 ,  H04M2250/06 ,  H04M2250/10 ,  H04W48/16

Abstract: Methods, program products, and systems for monitoring geofence exits using wireless access points are disclosed. In general, in one aspect, a mobile device can detect one or more entry gateways that are wireless access points selected for monitoring a geofence. The mobile device can determine that the mobile device is located in the geofence based on the detection. The mobile device can monitor the entry gateways and one or more exit gateways, which can be wireless access points observable by the mobile device when the mobile device is in the geofence. When the mobile device determines, after a number of scans using a wireless processor, that the entry gateways and exit gateways are unobservable, the mobile device can use an application processor to determine whether the mobile device has exited from the geofence.

Abstract translation: 公开了使用无线接入点监测地理围栏出口的方法，程序产品和系统。 通常，在一个方面，移动设备可以检测作为用于监视地理围栏的无线接入点的一个或多个入口网关。 移动设备可以基于检测来确定移动设备位于地理栅栏中。 移动设备可以监视入口网关和一个或多个出口网关，当移动设备处于地理围栏中时，移动设备可以是移动设备可观察到的无线接入点。 当移动设备在使用无线处理器进行多次扫描之后确定入口网关和出口网关不可观察时，移动设备可以使用应用处理器来确定移动设备是否已经从地理围栏退出。

公开(公告)号：WO2012166355A1

公开(公告)日：2012-12-06

申请号：PCT/US2012/038002

申请日：2012-05-15

Applicant: APPLE INC. ,  GROSMAN, Yefim ,  MARTI, Lukas M. ,  GRAINGER, Morgan ,  MAYOR, Robert ,  HUANG, Ronald K.

Inventor： GROSMAN, Yefim ,  MARTI, Lukas M. ,  GRAINGER, Morgan ,  MAYOR, Robert ,  HUANG, Ronald K.

IPC: H04W4/02

CPC classification number: H04B7/2643 ,  H04M1/72577 ,  H04W4/021 ,  H04W48/20

Abstract: Methods, program products, and systems for monitoring geofence exits using wireless access points are disclosed. In general, in one aspect, the mobile device can select, from multiple wireless access points, one or more wireless access points for monitoring a geofence. Selecting the one or more wireless access points can include determining multiple geographic regions corresponding to the geofence. The mobile device can select the one or more wireless access points based on a maximum total number of wireless access points to be selected and an access point allowance for each of the geographic regions. The access point allowance can indicate a maximum number of wireless access points to be selected for the geographic region. The mobile device can detect a potential entry or exit of the geofence by monitoring the selected one or more wireless access points using a wireless processor.

Abstract translation: 公开了使用无线接入点监测地理围栏出口的方法，程序产品和系统。 通常，在一个方面，移动设备可以从多个无线接入点中选择用于监视地理围栏的一个或多个无线接入点。 选择一个或多个无线接入点可以包括确定与地理栅栏对应的多个地理区域。 移动设备可以基于要选择的无线接入点的最大总数和每个地理区域的接入点允许来选择一个或多个无线接入点。 接入点容限可以指示要为地理区域选择的无线接入点的最大数量。 移动设备可以通过使用无线处理器监视所选择的一个或多个无线接入点来检测地理栅栏的潜在进入或退出。