Automatic detection of overhead obstructions

    公开(公告)号:US11782129B2

    公开(公告)日:2023-10-10

    申请号:US17409380

    申请日:2021-08-23

    CPC classification number: G01S7/4808 G01S17/89 G01S17/931

    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.

    LOCAL WINDOW-BASED 2D OCCUPANCY GRIDS FOR LOCALIZATION OF AUTONOMOUS VEHICLES

    公开(公告)号:US20200182626A1

    公开(公告)日:2020-06-11

    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.

    Distinguishable geographic area presentation

    公开(公告)号:US10444954B2

    公开(公告)日:2019-10-15

    申请号:US14076636

    申请日:2013-11-11

    Inventor: Xi Zhang Xin Chen

    Abstract: A method and apparatus for rendering geographic areas involves presenting at least part of the geographic area in a distinctive fashion. An area of interest is identified. A location of the area of interest as a geographic sub-area within a geographic area is determined. A representation of the area of interest within an electronic model of the geographic area is located. A view of the electronic model of the geographic area comprising the representation of the area of interest is selected, and the view of the electronic model with the area of interest having a different display characteristic than other geographic sub-areas shown in the view is presented. The different display characteristic distinguishes the area of interest from the other geographic sub-areas.

    AUTOMATIC IDENTIFICATION OF ROADSIDE OBJECTS FOR LOCALIZATION

    公开(公告)号:US20190279049A1

    公开(公告)日:2019-09-12

    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.

    Structure determination in a geographic area

    公开(公告)号:US10089417B2

    公开(公告)日:2018-10-02

    申请号:US14038322

    申请日:2013-09-26

    Inventor: Xi Zhang Xin Chen

    Abstract: Structure boundaries may be determined by receiving a plurality of three dimensional (3D) data points representing a geographic area. The 3D data points may be projected into a two dimensional (2D) grid comprised of area elements. A structure boundary may be determined based on an analysis of the area elements.

    Developing a panoramic image
    8.
    发明授权

    公开(公告)号:US09986154B2

    公开(公告)日:2018-05-29

    申请号:US14283566

    申请日:2014-05-21

    Abstract: Systems, apparatus, and methods are provided for producing an improved panoramic image. A three-dimensional point cloud image is generated from an optical distancing system. Additionally, at least one two-dimensional image is generated from at least one camera. The three-dimensional point cloud image is colorized with the at least one two-dimensional image, thereby forming a colorized three-dimensional point cloud image. An equal area projection panoramic image is synthesized from the colorized three-dimensional point cloud, wherein the panoramic image comprises a plurality of pixels, and each pixel in the plurality of pixels represents a same amount of area.

    Detecting road condition changes from probe data

    公开(公告)号:US09881497B2

    公开(公告)日:2018-01-30

    申请号:US15155701

    申请日:2016-05-16

    CPC classification number: G08G1/0112 G01C7/04 G08G1/0129 G08G1/0141

    Abstract: Systems, methods, and apparatuses are disclosed for identifying anomalies or changes in road conditions on a roadway location. An initial low rank data matrix of initial vehicle probe data at a plurality of different times for a roadway location is provided, where the initial low rank data matrix represents a baseline of road conditions for the roadway location. A plurality of additional vehicle probe data from at least one vehicle at the roadway location is received. The additional vehicle probe data is added to the initial vehicle probe data of the initial low rank data matrix. The updated data matrix with the compiled probe data is decomposed into a low rank data matrix and a sparse data matrix. A change at the roadway location is identified based on the probe data in the sparse data matrix.

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