Method for step detection and gait direction estimation
    4.
    发明授权
    Method for step detection and gait direction estimation 有权
    步进检测和步态方向估计方法

    公开(公告)号:US08930163B2

    公开(公告)日:2015-01-06

    申请号:US13827506

    申请日:2013-03-14

    CPC classification number: G01C22/006 G06F17/10

    Abstract: A method for detecting a human's steps and estimating the horizontal translation direction and scaling of the resulting motion relative to an inertial sensor is described. When a pedestrian takes a sequence of steps the displacement can be decomposed into a sequence of rotations and translations over each step. A translation is the change in the location of pedestrian's center of mass and a rotation is the change along z-axis of the pedestrian's orientation. A translation can be described by a vector and a rotation by an angle.

    Abstract translation: 描述了一种用于检测人的步骤并估计相对于惯性传感器的所得运动的水平平移方向和缩放的方法。 当步行者采取一系列步骤时,可以通过每个步骤将位移分解成一系列旋转和翻译。 翻译是行人中心位置的变化,旋转是沿着行人方向的z轴的变化。 翻译可以通过向量和旋转来描述一个角度。

    METHODS FOR GENERATING AND UPDATING BUILDING MODELS

    公开(公告)号:US20220139031A1

    公开(公告)日:2022-05-05

    申请号:US17475935

    申请日:2021-09-15

    Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

    Crowd sourced mapping with robust structural features

    公开(公告)号:US11268818B2

    公开(公告)日:2022-03-08

    申请号:US16387483

    申请日:2019-04-17

    Abstract: A location and mapping service is described that creates a global database of indoor navigation maps through crowd-sourcing and data fusion technologies. The navigation maps consist of a database of geo-referenced, uniquely described features in the multi-dimensional sensor space (e.g., including structural, RF, magnetic, image, acoustic, or other data) that are collected automatically as a tracked mobile device is moved through a building (e.g. a person with a mobile phone or a robot). The feature information can be used to create building models as one or more tracked devices traverse a building.

    Mapping complex building models
    7.
    发明授权

    公开(公告)号:US10740965B2

    公开(公告)日:2020-08-11

    申请号:US16428519

    申请日:2019-05-31

    Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

    Methods for improved heading estimation

    公开(公告)号:US09739635B2

    公开(公告)日:2017-08-22

    申请号:US13915998

    申请日:2013-06-12

    CPC classification number: G01C25/00 G01C17/38

    Abstract: Methods for calibrating a body-worn magnetic sensor by spinning the magnetic sensor 360 degrees to capture magnetic data; if the spin failed to produce a circle contained in an x-y plane fit a sphere to the captured data; determining offsets based on the center of the sphere; and removing the offsets that are in the z-direction. Computing a magnetic heading reliability of a magnetic sensor by determining an orientation of the sensor at one location; transforming the orientation between two reference frames; measuring a first vector associated with the magnetic field of Earth at the location; processing the first vector to generate a virtual vector when a second location is detected; measuring a second vector associated with the magnetic field of Earth at the second location; and calculating the magnetic heading reliability at the second location based on a comparison of the virtual vector and the second vector.

    Crowd sourced mapping with robust structural features
    10.
    发明授权
    Crowd sourced mapping with robust structural features 有权
    拥有强大结构特征的人群采集映射

    公开(公告)号:US09395190B1

    公开(公告)日:2016-07-19

    申请号:US14714212

    申请日:2015-05-15

    CPC classification number: G01C21/206 G01C21/165 G01C21/32 G01S5/0252 G01S19/13

    Abstract: A location and mapping service is described that creates a global database of indoor navigation maps through crowd-sourcing and data fusion technologies. The navigation maps consist of a database of geo-referenced, uniquely described features in the multi-dimensional sensor space (e.g., including structural, RF, magnetic, image, acoustic, or other data) that are collected automatically as a tracked mobile device is moved through a building (e.g. a person with a mobile phone or a robot). The feature information can be used to create building models as one or more tracked devices traverse a building.

    Abstract translation: 描述了一个位置和地图服务,通过群众采集和数据融合技术创建了室内导航地图的全球数据库。 导航地图包括由跟踪的移动设备自动收集的多维传感器空间(例如,包括结构,RF,磁性,图像,声学或其他数据)中的地理参考的,独特描述的特征的数据库 移动通过建筑物(例如具有移动电话或机器人的人)。 当一个或多个跟踪设备穿过建筑物时,特征信息可用于创建建筑模型。

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