Altitude Estimation Using A Probability Density Function
    32.
    发明申请
    Altitude Estimation Using A Probability Density Function 审中-公开
    使用概率密度函数进行海拔估计

    公开(公告)号:US20170013589A1

    公开(公告)日:2017-01-12

    申请号:US15273632

    申请日:2016-09-22

    Applicant: Apple Inc.

    Abstract: Methods, program products, and systems of location estimation using a probability density function are disclosed. In general, in one aspect, a server can estimate an effective altitude of a wireless access gateway using harvested data. The server can harvest location data from multiple mobile devices. The harvested data can include a location of each mobile device and an identifier of a wireless access gateway that is located within a communication range of the mobile device. The server can calculate an effective altitude of the wireless access gateway using a probability density function of the harvested data. The probability density function can be a sufficient statistic of the received set of location coordinates for calculating an effective altitude of the wireless access gateway. The server can send the effective altitude of the wireless access gateway to other mobile devices for estimating altitudes of the other mobile devices.

    Abstract translation: 公开了使用概率密度函数的方法,程序产品和位置估计系统。 通常,在一个方面,服务器可以使用收获的数据估计无线接入网关的有效高度。 服务器可以从多个移动设备收集位置数据。 所收获的数据可以包括每个移动设备的位置和位于移动设备的通信范围内的无线接入网关的标识符。 服务器可以使用收获的数据的概率密度函数来计算无线接入网关的有效高度。 概率密度函数可以是用于计算无线接入网关的有效高度的所接收的位置坐标集合的足够的统计量。 服务器可以将无线接入网关的有效高度发送到其他移动设备,以估计其他移动设备的高度。

    CORRECTING IN-VENUE LOCATION ESTIMATION USING STRUCTURAL INFORMATION
    34.
    发明申请
    CORRECTING IN-VENUE LOCATION ESTIMATION USING STRUCTURAL INFORMATION 有权
    使用结构信息校正室内位置估计

    公开(公告)号:US20160360380A1

    公开(公告)日:2016-12-08

    申请号:US14866424

    申请日:2015-09-25

    Applicant: Apple Inc.

    Abstract: Methods, systems, and computer program products for correcting in-venue location estimation using structural information are described. A mobile device can use wireless location technologies and dead reckoning to determine an estimated location of the mobile device in a venue. The mobile device can compare the estimated location with a map of the venue. Upon determining that the estimated location conflicts with a structural constraint, the mobile device can adjust the location estimation using the structural information. Adjusting the location estimation can include adjusting a statistical filter that provides estimation of the location and changing a heading of the mobile device used in the dead reckoning.

    Abstract translation: 描述了使用结构信息来校正场内位置估计的方法,系统和计算机程序产品。 移动设备可以使用无线定位技术和航位推算来确定移动设备在场地中的估计位置。 移动设备可以将估计的位置与场地的地图进行比较。 在确定估计位置与结构约束相冲突时,移动设备可以使用结构信息来调整位置估计。 调整位置估计可以包括调整统计滤波器,其提供对位置的估计和改变在推算中使用的移动设备的航向。

    Power management in crowd-sourced lost-and-found service
    36.
    发明授权
    Power management in crowd-sourced lost-and-found service 有权
    人群来源不明的服务中的电源管理

    公开(公告)号:US09479920B1

    公开(公告)日:2016-10-25

    申请号:US14871809

    申请日:2015-09-30

    Applicant: Apple Inc.

    Inventor: Robert Mayor

    Abstract: Power management techniques for crowd-sourced lost-and-found service are described. A mobile device participating in the crowd-sourced lost-and-found service can monitor signals from an electronic tag using a first subsystem that has low power consumption. The mobile device can monitor wireless signals from wireless access points (APs) using a second subsystem that has low power consumption. Identifiers of detected tags and APs are stored locally in the respective subsystems. At pre-specified intervals, the subsystems can submit the stored identifiers to an application processor of the mobile device. The application processor can be activated to determine the location of the tags using known location of the APs. The application processor can be deactivated after the location of the tags are determined. The mobile device can then submit the location to a remote server. The remote server can provide the location to an owner of an item attached to the tag.

    Abstract translation: 描述了针对人群丢失并发现服务的电源管理技术。 参与人群丢失并发现的服务的移动设备可以使用具有低功耗的第一子系统来监视来自电子标签的信号。 移动设备可以使用具有低功耗的第二子系统来监视来自无线接入点(AP)的无线信号。 检测到的标签和AP的标识符本地存储在相应的子系统中。 以预定的间隔,子系统可以将存储的标识符提交给移动设备的应用处理器。 应用处理器可以被激活以使用AP的已知位置来确定标签的位置。 在确定标签的位置之后,可以停用应用处理器。 然后,移动设备可以将该位置提交给远程服务器。 远程服务器可以向附加到标签的项目的所有者提供位置。

    Non-intrusive region notification
    38.
    发明授权
    Non-intrusive region notification 有权
    非侵入性区域通知

    公开(公告)号:US09307358B2

    公开(公告)日:2016-04-05

    申请号:US13913492

    申请日:2013-06-09

    Applicant: Apple Inc.

    Abstract: Techniques of non-intrusive region notification are described. A mobile device can be programmed to trigger an application program when the mobile device enters or exits a region. The region can be defined by various virtual fencing technologies. If, at the time of entry or exit of a region, the mobile device is in a power-saving operating mode, the mobile device can transition to an active operating mode temporarily, register a fence-crossing event (entry or exit of the region) with the application program, and then transition back to the power-saving operating mode. The mobile device can launch the registered application program in response to the mobile device receiving a user input to enter the active operating mode. The application program can provide a user interface associated with the region on a display surface of the mobile device in place of a home screen or other user interface.

    Abstract translation: 描述非侵入区域通知的技术。 当移动设备进入或离开区域时,移动设备可被编程为触发应用程序。 该区域可以通过各种虚拟围栏技术来定义。 如果在进入或退出区域时,移动设备处于节电操作模式,则移动设备可以临时转换到主动操作模式,注册篱笆交叉事件(进入或退出该区域 )与应用程序,然后转换回节电操作模式。 移动设备可以响应于接收用户输入的移动设备来启动注册的应用程序以进入主动操作模式。 应用程序可以在移动设备的显示表面上提供与区域相关联的用户界面来代替主屏幕或其他用户界面。

    REDUCED RESOLUTION LOCATION DETERMINATION FOR IMPROVED ANONYMITY OF USER LOCATION
    39.
    发明申请
    REDUCED RESOLUTION LOCATION DETERMINATION FOR IMPROVED ANONYMITY OF USER LOCATION 审中-公开
    减少用户位置改进的分辨率位置确定

    公开(公告)号:US20160066179A1

    公开(公告)日:2016-03-03

    申请号:US14502869

    申请日:2014-09-30

    Applicant: Apple Inc.

    Abstract: Reduced resolution location determination for improved anonymity of a user location is disclosed. In some implementations, a first location of a computing device operating in a geographic area is determined. A population density of the geographic area is estimated. A grid overlay is generated, including a number of cells based on the estimated population density. Using the grid overlay, a second location is generated for the computing device that is less precise than the first location. The less precise second location can be used in a local search or other application to improve the anonymity of the user location.

    Abstract translation: 公开了用于改善用户位置的匿名性的降低分辨率位置确定。 在一些实现中,确定在地理区域中操作的计算设备的第一位置。 估计地理区域的人口密度。 生成网格覆盖,包括基于估计的人口密度的多个单元格。 使用网格覆盖,生成比第一个位置更精确的计算设备的第二个位置。 可以在本地搜索或其他应用中使用较不精确的第二位置来改善用户位置的匿名性。

    Coarse Location Estimation for Mobile Devices
    40.
    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。

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