Crowd sourced mapping with robust structural features

    公开(公告)号:US10852145B2

    公开(公告)日:2020-12-01

    申请号:US15987774

    申请日:2018-05-23

    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.

    Fusion of sensor and map data using constraint based optimization

    公开(公告)号:US10571270B2

    公开(公告)日:2020-02-25

    申请号:US15670881

    申请日:2017-08-07

    Abstract: Disclosed herein are methods and systems for fusion of sensor and map data using constraint based optimization. In an embodiment, a computer-implemented method may include obtaining tracking data for a tracked subject, the tracking data including data from a dead reckoning sensor; obtaining constraint data for the tracked subject; and using a convex optimization method based on the tracking data and the constraint data to obtain a navigation solution. The navigation solution may be a path and the method may further include propagating the constraint data by a motion model to produce error bounds that continue to constrain the path over time. The propagation of the constraint data may be limited by other sensor data and/or map structural data.

    Collaborative creation of indoor maps

    公开(公告)号:US10352707B2

    公开(公告)日:2019-07-16

    申请号:US15650747

    申请日:2017-07-14

    Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

    COLLABORATIVE CREATION OF INDOOR MAPS
    24.
    发明申请

    公开(公告)号:US20170370728A1

    公开(公告)日:2017-12-28

    申请号:US15650747

    申请日:2017-07-14

    CPC classification number: G01C21/206

    Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

    Collaborative creation of indoor maps

    公开(公告)号:US09733091B2

    公开(公告)日:2017-08-15

    申请号:US14178605

    申请日:2014-02-12

    CPC classification number: G01C21/206

    Abstract: This disclosure provides techniques for the creation of maps of indoor spaces. In these techniques, an individual or a team with no mapping or cartography expertise can contribute to the creation of maps of buildings, campuses or cities. An indoor location system can track the location of contributors in the building. As they walk through indoor spaces, an application may automatically create a map based on data from motion sensors by both tracking the location of the contributors and also inferring building features such as hallways, stairways, and elevators based on the tracked contributors' motions as they move through a structure. With these techniques, the process of mapping buildings can be crowd sourced to a large number of contributors, making the indoor mapping process efficient and easy to scale up.

    METHOD FOR STEP DETECTION AND GAIT DIRECTION ESTIMATION
    29.
    发明申请
    METHOD FOR STEP DETECTION AND GAIT DIRECTION ESTIMATION 审中-公开
    步骤检测方法和GAIT方向估计

    公开(公告)号:US20130311133A1

    公开(公告)日:2013-11-21

    申请号:US13791443

    申请日:2013-03-08

    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。

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