Validating and updating building models with path data

    公开(公告)号:US11443483B2

    公开(公告)日:2022-09-13

    申请号:US16989287

    申请日:2020-08-10

    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:US11359921B2

    公开(公告)日:2022-06-14

    申请号:US16387491

    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.

    Crowd sourced mapping with robust structural features

    公开(公告)号:US11156464B2

    公开(公告)日:2021-10-26

    申请号:US16128403

    申请日:2018-09-11

    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, to indicate signal strength throughout different parts of the building mode, and to illustrate a path of each tracked device associated with signal strength and other annotations.

    MAPPING COMPLEX BUILDING MODELS
    4.
    发明申请

    公开(公告)号:US20190371054A1

    公开(公告)日:2019-12-05

    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.

    COLLABORATIVE CREATION OF INDOOR MAPS
    5.
    发明申请

    公开(公告)号:US20180321043A1

    公开(公告)日:2018-11-08

    申请号:US16022526

    申请日:2018-06-28

    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.

    HEADING CONSTRAINTS IN A PARTICLE FILTER
    7.
    发明申请
    HEADING CONSTRAINTS IN A PARTICLE FILTER 有权
    颗粒过滤器中的头部约束

    公开(公告)号:US20160195391A1

    公开(公告)日:2016-07-07

    申请号:US14714216

    申请日:2015-05-15

    CPC classification number: G01C17/38 G01S5/0247 G01S5/0252 G01S5/0278 G01S19/42

    Abstract: A method for computing a correction to a compass heading for a portable device worn or carried by a user is described. The method involves determining a heading for the device based on a compass reading, collecting data from one or more sensors, determining if the device is indoors or outdoors based on the collected data, and correcting the heading based on the determination of whether the device is indoors or outdoors.

    Abstract translation: 描述了一种用于计算由用户佩戴或携带的便携式设备的罗盘方向的校正的方法。 该方法包括基于罗盘读数来确定设备的标题,从一个或多个传感器收集数据,基于收集的数据确定设备是否在室内或室外,以及基于确定设备是否是 室内或室外

    Collaborative creation of indoor maps

    公开(公告)号:US11199412B2

    公开(公告)日:2021-12-14

    申请号:US16022526

    申请日:2018-06-28

    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.

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