Multi-axis atomic inertial sensor system
    1.
    发明授权
    Multi-axis atomic inertial sensor system 有权
    多轴原子惯性传感器系统

    公开(公告)号:US08860933B2

    公开(公告)日:2014-10-14

    申请号:US13661809

    申请日:2012-10-26

    Abstract: An inertial sensing system comprises a first multi-axis atomic inertial sensor, a second multi-axis atomic inertial sensor, and an optical multiplexer optically coupled to the first and second multi-axis atomic inertial sensors. The optical multiplexer is configured to sequentially direct light along different axes of the first and second multi-axis atomic inertial sensors. A plurality of micro-electrical-mechanical systems (MEMS) inertial sensors is in operative communication with the first and second multi-axis atomic inertial sensors. Output signals from the first and second multi-axis atomic inertial sensors aid in correcting errors produced by the MEMS inertial sensors by sequentially updating output signals from the MEMS inertial sensors.

    Abstract translation: 惯性感测系统包括第一多轴原子惯性传感器,第二多轴原子惯性传感器和与第一和第二多轴原子惯性传感器光耦合的光学多路复用器。 光复用器被配置为顺序地引导沿着第一和第二多轴原子惯性传感器的不同轴的光。 多个微机电系统(MEMS)惯性传感器与第一和第二多轴原子惯性传感器操作性地通信。 来自第一和第二多轴原子惯性传感器的输出信号有助于通过依次更新来自MEMS惯性传感器的输出信号来校正由MEMS惯性传感器产生的误差。

    System and methods for reducing the map search space requirements in a vision-inertial navigation system

    公开(公告)号:US10767996B2

    公开(公告)日:2020-09-08

    申请号:US15974629

    申请日:2018-05-08

    Abstract: A system and methods for reducing map search area requirements in a navigation system are disclosed. The system includes a vehicle, an imaging device onboard the vehicle configured to generate an image scan, receive at least one image responsive to the image scan, and a processing device configured to receive and store the at least one image. The system further includes a navigation system onboard the vehicle configured to store an image of a map, and a learning network associated with the navigation system and configured to divide the image of the map into a plurality of map subsections, recognize each one of a plurality of images of different landmarks on the map, generate a set of classifications for each map subsection, and associate each classification of the set of classifications with at least one landmark of the different landmarks on the map.

    Position and attitude determination method and system using edge images

    公开(公告)号:US10607364B2

    公开(公告)日:2020-03-31

    申请号:US15799444

    申请日:2017-10-31

    Abstract: A method of determining at least one of position and attitude in relation to an object is provided. The method includes capturing at least two images of the object with at least one camera. Each image is captured at a different position in relation to the object. The images are converted to edge images. The edge images of the object are converted into three-dimensional edge images of the object using positions of where the at least two images were captured. Overlap edge pixels in the at least two three-dimensional edge images are located to identify overlap points. A three dimensional edge candidate point image of the identified overlapped points in an evidence grid is built. The three dimensional candidate edge image in the evidence grid is compared with a model of the object to determine at least one of a then current position and attitude in relation to the object.

    EDGE DETECTION VIA WINDOW GRID NORMALIZATION

    公开(公告)号:US20230113059A1

    公开(公告)日:2023-04-13

    申请号:US16855518

    申请日:2020-04-22

    Abstract: In an embodiment, a method is provided. The method comprises extracting, from an image acquired with a first image-capture device, an image portion having dimensions of an extent of a second image-capture device. The method further comprises normalizing a parameter of the image portion. The method further comprises determining at least one edge of at least one object in the image portion; and generating, in response to the determined at least one edge, an edge map corresponding to the image portion.

    System and methods for reducing the map search space requirements in a vision-inertial navigation system

    公开(公告)号:US10731989B2

    公开(公告)日:2020-08-04

    申请号:US15974629

    申请日:2018-05-08

    Abstract: A system and methods for reducing map search area requirements in a navigation system are disclosed. The system includes a vehicle, an imaging device onboard the vehicle configured to generate an image scan, receive at least one image responsive to the image scan, and a processing device configured to receive and store the at least one image. The system further includes a navigation system onboard the vehicle configured to store an image of a map, and a learning network associated with the navigation system and configured to divide the image of the map into a plurality of map subsections, recognize each one of a plurality of images of different landmarks on the map, generate a set of classifications for each map subsection, and associate each classification of the set of classifications with at least one landmark of the different landmarks on the map.

    Compressing data points into polygons

    公开(公告)号:US10540785B2

    公开(公告)日:2020-01-21

    申请号:US15993294

    申请日:2018-05-30

    Abstract: A method for compressing three-dimensional data points is disclosed. The method includes measuring a plurality of three-dimensional data points using one or more sensors communicatively coupled to the computing device, where each three-dimensional data point represents a point in a three-dimensional environment. The method also includes dividing the three-dimensional environment into a plurality of spatial cubes, wherein each three-dimensional data point is mapped to one spatial cube. The method also includes, for each spatial cube, converting the three-dimensional data points in the respective spatial cube to a two-dimensional plane based on a number of three-dimensional data points in the respective spatial cube. The method also includes, for each two-dimensional plane, determining polygon vertices of a planar polygon at points where an edge of an associated spatial cube intersects the respective two-dimensional plane. The method also includes sending the polygon vertices of each planar polygon to a ground station.

    COMPRESSING DATA POINTS INTO POLYGONS
    8.
    发明申请

    公开(公告)号:US20190371007A1

    公开(公告)日:2019-12-05

    申请号:US15993294

    申请日:2018-05-30

    Abstract: A method for compressing three-dimensional data points is disclosed. The method includes measuring a plurality of three-dimensional data points using one or more sensors communicatively coupled to the computing device, where each three-dimensional data point represents a point in a three-dimensional environment. The method also includes dividing the three-dimensional environment into a plurality of spatial cubes, wherein each three-dimensional data point is mapped to one spatial cube. The method also includes, for each spatial cube, converting the three-dimensional data points in the respective spatial cube to a two-dimensional plane based on a number of three-dimensional data points in the respective spatial cube. The method also includes, for each two-dimensional plane, determining polygon vertices of a planar polygon at points where an edge of an associated spatial cube intersects the respective two-dimensional plane. The method also includes sending the polygon vertices of each planar polygon to a ground station.

    POSITION AND ATTITUDE DETERMINATION METHOD AND SYSTEM USING EDGE IMAGES

    公开(公告)号:US20190130595A1

    公开(公告)日:2019-05-02

    申请号:US15799444

    申请日:2017-10-31

    Abstract: A method of determining at least one of position and attitude in relation to an object is provided. The method includes capturing at least two images of the object with at least one camera. Each image is captured at a different position in relation to the object. The images are converted to edge images. The edge images of the object are converted into three-dimensional edge images of the object using positions of where the at least two images were captured. Overlap edge pixels in the at least two three-dimensional edge images are located to identify overlap points. A three dimensional edge candidate point image of the identified overlapped points in an evidence grid is built. The three dimensional candidate edge image in the evidence grid is compared with a model of the object to determine at least one of a then current position and attitude in relation to the object.

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