SYSTEM AND METHOD FOR LOCALIZING A TRACKEE AT A LOCATION AND MAPPING THE LOCATION USING SIGNAL-BASED FEATURES
    1.
    发明申请
    SYSTEM AND METHOD FOR LOCALIZING A TRACKEE AT A LOCATION AND MAPPING THE LOCATION USING SIGNAL-BASED FEATURES 审中-公开
    用于使用位置定位轨道并使用基于信号的特征映射位置的系统和方法

    公开(公告)号:US20150285638A1

    公开(公告)日:2015-10-08

    申请号:US14262627

    申请日:2014-04-25

    CPC classification number: G01C21/206 G01C21/00 G01C21/165 G01S19/13 G01S19/39

    Abstract: A system and method for recognizing features for location correction in Simultaneous Localization And Mapping operations, thus facilitating longer duration navigation, is provided. The system may detect features from magnetic, inertial, GPS, light sensors, and/or other sensors that can be associated with a location and recognized when revisited. Feature detection may be implemented on a generally portable tracking system, which may facilitate the use of higher sample rate data for more precise localization of features, improved tracking when network communications are unavailable, and improved ability of the tracking system to act as a smart standalone positioning system to provide rich input to higher level navigation algorithms/systems. The system may detect a transition from structured (such as indoors, in caves, etc.) to unstructured (such as outdoor) environments and from pedestrian motion to travel in a vehicle. The system may include an integrated self-tracking unit that can localize and self-correct such localizations.

    Abstract translation: 提供了一种用于在同时定位和映射操作中识别位置校正的特征的系统和方法,从而促进更长的持续时间导航。 该系统可以检测来自磁性,惯性,GPS,光传感器和/或可以与位置相关联并在重新访问时识别的其它传感器的特征。 特征检测可以在通常便携式的跟踪系统上实现,这可以促进使用更高的采样率数据来更精确地定位特征,当网络通信不可用时改进的跟踪以及跟踪系统作为智能独立的改进的能力 定位系统为更高级别的导航算法/系统提供丰富的输入。 系统可以检测从结构化(例如室内,洞穴等)到非结构化(例如室外)环境和从行人运动到车辆行驶的过渡。 该系统可以包括集成的自我跟踪单元,其可以本地化和自校正这样的定位。

    SYSTEM AND METHOD FOR LOCALIZING A TRACKEE AT A LOCATION AND MAPPING THE LOCATION USING INERTIAL SENSOR INFORMATION
    3.
    发明申请
    SYSTEM AND METHOD FOR LOCALIZING A TRACKEE AT A LOCATION AND MAPPING THE LOCATION USING INERTIAL SENSOR INFORMATION 有权
    在位置上定位轨道并使用惯性传感器信息映射位置的系统和方法

    公开(公告)号:US20130332064A1

    公开(公告)日:2013-12-12

    申请号:US13852649

    申请日:2013-03-28

    CPC classification number: G01C21/206 G01C21/00 G01C21/165 G01S19/13 G01S19/39

    Abstract: A system and method for recognizing features for location correction in Simultaneous Localization And Mapping operations, thus facilitating longer duration navigation, is provided. The system may detect features from magnetic, inertial, GPS, light sensors, and/or other sensors that can be associated with a location and recognized when revisited. Feature detection may be implemented on a generally portable tracking system, which may facilitate the use of higher sample rate data for more precise localization of features, improved tracking when network communications are unavailable, and improved ability of the tracking system to act as a smart standalone positioning system to provide rich input to higher level navigation algorithms/systems. The system may detect a transition from structured (such as indoors, in caves, etc.) to unstructured (such as outdoor) environments and from pedestrian motion to travel in a vehicle. The system may include an integrated self-tracking unit that can localize and self-correct such localizations.

    Abstract translation: 提供了一种用于在同时定位和映射操作中识别位置校正的特征的系统和方法,从而促进更长的持续时间导航。 该系统可以检测来自磁性,惯性,GPS,光传感器和/或可以与位置相关联并在重新访问时识别的其它传感器的特征。 特征检测可以在通常便携式的跟踪系统上实现,这可以促进使用更高的采样率数据来更精确地定位特征,当网络通信不可用时改进的跟踪以及跟踪系统作为智能独立的改进的能力 定位系统为更高级别的导航算法/系统提供丰富的输入。 系统可以检测从结构化(例如室内,洞穴等)到非结构化(例如室外)环境和从行人运动到车辆行驶的过渡。 该系统可以包括集成的自我跟踪单元,其可以本地化和自校正这样的定位。

    Wi-Fi enhanced tracking algorithms
    7.
    发明授权
    Wi-Fi enhanced tracking algorithms 有权
    Wi-Fi增强跟踪算法

    公开(公告)号:US09297658B2

    公开(公告)日:2016-03-29

    申请号:US13916390

    申请日:2013-06-12

    Abstract: Disclosed herein is the use of Wi-Fi based location estimates of a mobile device to provide global offset corrections (including automated initialization) and enhanced navigation accuracy through delivery of heading corrections. In an embodiment, dead reckoning tracking data may be received for a tracked subject. The tracking data includes a plurality of tracking points forming a tracking path of the tracked subject. A Wi-Fi position system location estimate is also obtained. The Wi-Fi position system location estimate is one of a plurality of Wi-Fi position system location estimates correlated to the dead reckoning tracking data. And a tracking related parameter is determined based on the correlation of the dead reckoning tracking data to the Wi-Fi position system location estimate.

    Abstract translation: 这里公开的是使用基于Wi-Fi的移动设备的位置估计来提供全局偏移校正(包括自动初始化)和通过提供标题校正来增强导航精度。 在一个实施例中,可以为跟踪的对象接收航位推算跟踪数据。 跟踪数据包括形成跟踪对象的跟踪路径的多个跟踪点。 还获得Wi-Fi位置系统位置估计。 Wi-Fi位置系统位置估计是与航位推算跟踪数据相关联的多个Wi-Fi位置系统位置估计之一。 并且基于航位推算跟踪数据与Wi-Fi位置系统位置估计的相关性来确定跟踪相关参数。

    SYSTEM AND METHOD FOR LOCALIZING A TRACKEE AT A LOCATION AND MAPPING THE LOCATION USING TRANSITIONS
    9.
    发明申请
    SYSTEM AND METHOD FOR LOCALIZING A TRACKEE AT A LOCATION AND MAPPING THE LOCATION USING TRANSITIONS 有权
    用于在位置上定位轨迹并使用转换映射位置的系统和方法

    公开(公告)号:US20150285636A1

    公开(公告)日:2015-10-08

    申请号:US14262618

    申请日:2014-04-25

    CPC classification number: G01C21/206 G01C21/00 G01C21/165 G01S19/13 G01S19/39

    Abstract: A system and method for recognizing features for location correction in Simultaneous Localization And Mapping operations, thus facilitating longer duration navigation, is provided. The system may detect features from magnetic, inertial, GPS, light sensors, and/or other sensors that can be associated with a location and recognized when revisited. Feature detection may be implemented on a generally portable tracking system, which may facilitate the use of higher sample rate data for more precise localization of features, improved tracking when network communications are unavailable, and improved ability of the tracking system to act as a smart standalone positioning system to provide rich input to higher level navigation algorithms/systems. The system may detect a transition from structured (such as indoors, in caves, etc.) to unstructured (such as outdoor) environments and from pedestrian motion to travel in a vehicle. The system may include an integrated self-tracking unit that can localize and self-correct such localizations.

    Abstract translation: 提供了一种用于在同时定位和映射操作中识别位置校正的特征的系统和方法,从而促进更长的持续时间导航。 该系统可以检测来自磁性,惯性,GPS,光传感器和/或可以与位置相关联并在重新访问时识别的其它传感器的特征。 特征检测可以在通常便携式的跟踪系统上实现,这可以促进使用更高的采样率数据来更精确地定位特征,当网络通信不可用时改进的跟踪以及跟踪系统作为智能独立的改进的能力 定位系统为更高级别的导航算法/系统提供丰富的输入。 系统可以检测从结构化(例如室内,洞穴等)到非结构化(例如室外)环境和从行人运动到车辆行驶的过渡。 该系统可以包括集成的自我跟踪单元,其可以本地化和自校正这样的定位。

    System and method for localizing a trackee at a location and mapping the location using transitions
    10.
    发明授权
    System and method for localizing a trackee at a location and mapping the location using transitions 有权
    用于在一个位置处本地化跟踪者的系统和方法,并使用转换映射位置

    公开(公告)号:US09146113B1

    公开(公告)日:2015-09-29

    申请号:US14262618

    申请日:2014-04-25

    CPC classification number: G01C21/206 G01C21/00 G01C21/165 G01S19/13 G01S19/39

    Abstract: A system and method for recognizing features for location correction in Simultaneous Localization And Mapping operations, thus facilitating longer duration navigation, is provided. The system may detect features from magnetic, inertial, GPS, light sensors, and/or other sensors that can be associated with a location and recognized when revisited. Feature detection may be implemented on a generally portable tracking system, which may facilitate the use of higher sample rate data for more precise localization of features, improved tracking when network communications are unavailable, and improved ability of the tracking system to act as a smart standalone positioning system to provide rich input to higher level navigation algorithms/systems. The system may detect a transition from structured (such as indoors, in caves, etc.) to unstructured (such as outdoor) environments and from pedestrian motion to travel in a vehicle. The system may include an integrated self-tracking unit that can localize and self-correct such localizations.

    Abstract translation: 提供了一种用于在同时定位和映射操作中识别位置校正的特征的系统和方法,从而促进更长的持续时间导航。 该系统可以检测来自磁性,惯性,GPS,光传感器和/或可以与位置相关联并在重新访问时识别的其它传感器的特征。 特征检测可以在通常便携式的跟踪系统上实现,这可以促进使用更高的采样率数据来更精确地定位特征,当网络通信不可用时改进的跟踪以及跟踪系统作为智能独立的改进的能力 定位系统为更高级别的导航算法/系统提供丰富的输入。 系统可以检测从结构化(例如室内,洞穴等)到非结构化(例如室外)环境和从行人运动到车辆行驶的过渡。 该系统可以包括集成的自我跟踪单元,其可以本地化和自校正这样的定位。

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