Automatic detection of overhead obstructions

    公开(公告)号:US11119192B2

    公开(公告)日:2021-09-14

    申请号:US16213261

    申请日:2018-12-07

    Abstract: Methods, apparatuses, and systems are provided for detecting overhead obstructions along a path segment. One exemplary method includes receiving three-dimensional data collected by a depth sensing device traveling along a path segment, wherein the three-dimensional data comprises point cloud data positioned above a ground plane of the path segment. The method further includes identifying data points of the point cloud data positioned within a corridor positioned above the ground plane. The method further includes projecting the identified data points onto a plane. The method further includes detecting the overhead obstruction based on a concentration of point cloud data positioned within a plurality of cells of the plane. The method further includes storing the detected overhead obstruction above the path segment within a map database.

    Segmented path coordinate system
    12.
    发明授权

    公开(公告)号:US11022445B2

    公开(公告)日:2021-06-01

    申请号:US16216491

    申请日:2018-12-11

    Abstract: A method for constructing a coordinate system relative to a vehicle traveling along a path includes receiving location data, dividing the path into path segments, matching a portion of the location data to a path segment, and determining a registration of the portion of the location data relative to the path segment. The registration may be organized by non-cartesian coordinates relative to a path point lying on the path segment.

    Local window-based 2D occupancy grids for localization of autonomous vehicles

    公开(公告)号:US10809073B2

    公开(公告)日:2020-10-20

    申请号:US16210553

    申请日:2018-12-05

    Abstract: Embodiments include apparatus and methods for automatic generation of local window-based 2D occupancy grids that represent roadside objects at a region of a roadway and automatic localization based on the 2D occupancy grids. 2D occupancy grids are generated based on an altitude threshold for point cloud data and grid cell occupancy for grid cells of local windows associated with the region of the roadway. The 2D occupancy grids are stored in a database and associated with the region of the roadway. Sensor data from a user located at the region of the roadway is received. The accessed 2D occupancy grids and the received sensor data are compared. Based on the comparison, localization of the user located at the region of the roadway is performed.

    AUTOMATIC LOCALIZATION GEOMETRY DETECTION
    15.
    发明申请

    公开(公告)号:US20180340781A1

    公开(公告)日:2018-11-29

    申请号:US16036091

    申请日:2018-07-16

    Abstract: Embodiments include apparatus and methods for generating a localization geometry or occupancy grid for a geographic location. Point cloud that describes a vicinity of a pathway is collected by a distance sensor and describing a vicinity of the pathway. The point cloud data is reduced or filtered to a predetermined volume with respect to the roadway. The remaining point cloud data is projected onto a two-dimensional plane including at least one pixel formation. A volumetric grid is defined according to the at least one pixel formation, and a voxel occupancy for each of a voxels forming the volumetric grid is determined. The arrangement of the voxel occupancies or a sequence of data describing the voxel occupancies is a localization geometry that describes the geographic location of the pathway.

    AUTOMATIC POSITIONING OF 2D IMAGE SIGN SIGHTINGS IN 3D SPACE

    公开(公告)号:US20210303884A1

    公开(公告)日:2021-09-30

    申请号:US17344297

    申请日:2021-06-10

    Abstract: An apparatus for sign detection includes a point cloud analysis module, an image analysis module, a frustum comparison module, and a sign detector. The point cloud analysis module is configured to receive point cloud data associated with a geographic region and classify at least one point neighborhood in the point cloud data as planar and a sign position candidate. The image analysis module is configured to receive image data associated with the geographic region and calculate a sighting frustum from the image data. The frustum comparison module is configured to perform a comparison of the sighting frustum to the sign position candidate having at least one point neighborhood classified as planar. The sign detector is configured to provide a location for the sign detection in response to the comparison of the sighting frustum to the sign position candidate.

    Automatic identification of roadside objects for localization

    公开(公告)号:US11093759B2

    公开(公告)日:2021-08-17

    申请号:US15913432

    申请日:2018-03-06

    Abstract: Embodiments include apparatus and methods for automatic generation of object polylines that represent roadside objects at a region of a roadway and automatic localization based on the object polylines. Object polylines are generated based on occupied voxels closest to the roadway of one or more voxel occupancy grids associated with the region of the roadway. The object polylines are stored in a database and associated with the region of the roadway. Sensor data from a user located at the region of the roadway is received. The accessed object polylines and the received sensor data are compared. Based on the comparison, localization of the user located at the region of the roadway is performed.

    Automatic positioning of 2D image sign sightings in 3D space

    公开(公告)号:US11055546B2

    公开(公告)日:2021-07-06

    申请号:US16223679

    申请日:2018-12-18

    Abstract: An apparatus for sign detection includes a point cloud analysis module, an image analysis module, a frustum comparison module, and a sign detector. The point cloud analysis module is configured to receive point cloud data associated with a geographic region and classify at least one point neighborhood in the point cloud data as planar and a sign position candidate. The image analysis module is configured to receive image data associated with the geographic region and calculate a sighting frustum from the image data. The frustum comparison module is configured to perform a comparison of the sighting frustum to the sign position candidate having at least one point neighborhood classified as planar. The sign detector is configured to provide a location for the sign detection in response to the comparison of the sighting frustum to the sign position candidate.

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