会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明申请
    • METHOD AND APPARATUS FOR CROSS DEVICE AUTOMATIC CALIBRATION
    • 用于跨设备自动校准的方法和装置
    • WO2015099738A1
    • 2015-07-02
    • PCT/US2013/077841
    • 2013-12-26
    • INTEL CORPORATIONPAN, XiaoyongLIPMAN, JustinYANG, LeiYANG, XueJIANG, Yong Qually
    • PAN, XiaoyongLIPMAN, JustinYANG, LeiYANG, XueJIANG, Yong Qually
    • G01S5/02
    • G01S5/0252G01S5/021
    • The disclosure relates to automatic calibration for cross devices in Wi-Fi fingerprint based areas. In an exemplary embodiment, an online device scans and obtains multiple signal strength value (RSSI o i ) from local access points. The online device may access a fingerprint database and obtain a set of fingerprints. Each fingerprint includes a known location, a set of RSSI values (RSSI f i ) and optionally a device/model name. For each fingerprint, the online device: (1) calculates a fingerprint RSSI offset (fpOff) in real-time; (2) applies the fingerprint RSSI offset (fpOff) to the fingerprint RSSI values to determine adjusted fingerprint values. Then the online device identifies fingerprints with minimum Euclidean distance and uses their RSSI offset (fpOff) value to determine a device RSSI offset value. The device offset value can be used to calibrate the online device and to provide accurate location information.
    • 本公开涉及基于Wi-Fi指纹的区域中的交叉设备的自动校准。 在示例性实施例中,在线设备从本地接入点扫描并获得多个信号强度值(RSSIo i)。 在线设备可以访问指纹数据库并获得一组指纹。 每个指纹包括已知位置,一组RSSI值(RSSIf i)和可选的设备/型号名称。 对于每个指纹,在线设备:(1)实时计算指纹RSSI偏移(fpOff); (2)将指纹RSSI偏移(fpOff)应用于指纹RSSI值,以确定调整后的指纹值。 然后在线设备以最小欧几里得距离识别指纹,并使用其RSSI偏移(fpOff)值来确定设备RSSI偏移值。 设备偏移值可用于校准在线设备并提供准确的位置信息。
    • 3. 发明申请
    • POSITIONING AND MAPPING BASED ON VIRTUAL LANDMARKS
    • 基于虚拟地名的定位和映射
    • WO2014110204A1
    • 2014-07-17
    • PCT/US2014/010783
    • 2014-01-09
    • INTEL CORPORATIONYANG, XueYANG, Lei
    • YANG, XueYANG, Lei
    • G01S5/02G01S11/04
    • G01C21/206G01C21/005G01S5/0252
    • This disclosure is directed to positioning and mapping based on virtual landmarks. A space may include a plurality of signal sources (e.g., wireless access points (APs), cellular base stations, etc.). The space may be virtually divided into a plurality of regions, wherein each region in the space may be associated with a virtual landmark. Virtual landmarks may be identified by a signature comprised of measurements of wireless signals received from the plurality of access points when at the associated region. A device position may be approximated based on signal power magnitude and variance measurements for wireless signals received at the virtual landmark. Devices may employ an algorithm such as, for example, Simultaneous Localization and Mapping (SLAM) for positioning and map creation in the space without the need for GPS signals, specialized signaling equipment, pre-navigation device training, etc. Navigation/mapping may also account for space changes, signal source position changes, etc.
    • 本公开涉及基于虚拟地标的定位和映射。 空间可以包括多个信号源(例如,无线接入点(AP),蜂窝基站等)。 空间可以被虚拟地分成多个区域,其中空间中的每个区域可以与虚拟地标相关联。 虚拟地标可以由包括在相关联的区域处从多个接入点接收的无线信号的测量组成的签名来识别。 可以基于在虚拟地标处接收的无线信号的信号功率幅度和方差测量近似设备位置。 设备可以采用诸如同时定位和映射(SLAM)的算法来在空间中定位和映射创建,而不需要GPS信号,专用信令设备,导航前设备训练等。导航/映射也可以 考虑空间变化,信号源位置变化等。
    • 8. 发明申请
    • LOCATION ESTIMATION USING A MOBILE DEVICE
    • 使用移动设备的位置估计
    • WO2014134401A1
    • 2014-09-04
    • PCT/US2014/019267
    • 2014-02-28
    • INTEL CORPORATIONYANG, XueYANG, LeiJUNKAR, MartinSENGUPTA, Uttam K.
    • YANG, XueYANG, LeiJUNKAR, MartinSENGUPTA, Uttam K.
    • G01S5/02G01S5/16
    • G01S5/0252G01C21/206
    • The present disclosure relates to computer-implemented systems and methods for location estimation using a mobile device. An example method may include receiving, at a device, one or more signature measurements associated with an indoor environment. Additionally, the device may be associated with a user. The method may also include receiving, at the device, one or more motion tracking measurements to measure relative motion associated with the device and the user. Furthermore, the method may include associating the one or more signature measurements with one or more virtual landmarks identified within the indoor environment. The method may further include determining a location of the user based on the one or more signature measurements, the one or more motion tracking measurements, and the one or more virtual landmarks.
    • 本公开涉及用于使用移动设备的位置估计的计算机实现的系统和方法。 示例性方法可以包括在设备处接收与室内环境相关联的一个或多个签名测量。 另外,设备可以与用户相关联。 该方法还可以包括在设备处接收一个或多个运动跟踪测量以测量与设备和用户相关联的相对运动。 此外,该方法可以包括将一个或多个签名测量与在室内环境中识别的一个或多个虚拟界标相关联。 该方法还可以包括基于一个或多个签名测量,一个或多个运动跟踪测量以及一个或多个虚拟界标来确定用户的位置。
    • 9. 发明申请
    • SYSTEMS AND METHODS FOR REDUCING VARIATIONS IN RECEIVED SIGNAL STRENGTH INDICATOR (RSSI) MEASUREMENTS FOR LOCATION SENSING
    • 用于减少接收信号强度指示(RSSI)位置传感测量值变化的系统和方法
    • WO2014105205A1
    • 2014-07-03
    • PCT/US2013/048560
    • 2013-06-28
    • INTEL CORPORATIONYANG, LeiYANG, Xue
    • YANG, LeiYANG, Xue
    • G01S11/06G01S5/04
    • G01S5/14G01S5/0215G01S5/0252G01S5/0273G01S11/06
    • Certain embodiments herein are directed to reducing variations in received signal strength indicator (RSSI) measurements that may be received by a wireless device over a network, such as a WiFi network including one or more access points. A signal sent from an access point may be received by a user device, where channel estimation results associated with the received signal may be analyzed to determine a more accurate location of the user device. The received signal may be converted to at least one of the time domain and the frequency domain, in which signal components associated with the received signal may be identified based on a determination that the signal components may be associated with multipath fading or other types of interference. Such identified signal components, whether in the frequency domain or the time domain) may be excluded from a determination of a signal strength measurement that may in turn be used to identify the location of the user device.
    • 这里的某些实施例旨在减少可由无线设备通过网络(诸如包括一个或多个接入点的WiFi网络)接收的接收信号强度指示符(RSSI)测量的变化。 从接入点发送的信号可以由用户设备接收,其中可以分析与接收信号相关联的信道估计结果,以确定用户设备的更准确的位置。 所接收的信号可以被转换成时域和频域中的至少一个,其中可以基于确定信号分量可能与多径衰落或其他类型的干扰相关联的信号来识别与接收信号相关联的信号分量 。 这样的识别的信号分量,无论是在频域还是时域中)可以被排除在信号强度测量的确定之外,信号强度测量可以用于识别用户设备的位置。