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.

    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.

    AUTOMATIC DETECTION AND POSITIONING OF STRUCTURE FACES

    公开(公告)号:US20210241007A1

    公开(公告)日:2021-08-05

    申请号:US17234411

    申请日:2021-04-19

    Abstract: An apparatus and method automatically detects and positions structure faces. After receiving data points describing a geographical area, neighborhoods are defined based on the data points and classified as linear, planar, or volumetric. Neighborhoods are merged into at least one cluster based on local surface normals. At least one bounding frame is fit to the at least one cluster and modified based on a field of interest.

    AUTOMATIC DETECTION AND POSITIONING OF STRUCTURE FACES

    公开(公告)号:US20200184234A1

    公开(公告)日:2020-06-11

    申请号:US16210181

    申请日:2018-12-05

    Abstract: An apparatus and method automatically detects and positions structure faces. After receiving data points describing a geographical area, neighborhoods are defined based on the data points and classified as linear, planar, or volumetric. Neighborhoods are merged into at least one cluster based on local surface normals. At least one bounding frame is fit to the at least one cluster and modified based on a field of interest.

    AUTOMATIC LOCALIZATION GEOMETRY DETECTION
    8.
    发明申请

    公开(公告)号:US20180058861A1

    公开(公告)日:2018-03-01

    申请号:US15248714

    申请日:2016-08-26

    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 detection and positioning of pole-like objects in 3D

    公开(公告)号:US11423677B2

    公开(公告)日:2022-08-23

    申请号:US17079107

    申请日:2020-10-23

    Abstract: Embodiments include apparatus and methods for automatic detection of pole-like objects for a location at a region of a roadway and automatic localization based on the detected pole-like objects. Pole-like objects are modeled as cylinders and the models are generated based on detected vertical clusters of point cloud data associated to corresponding regions along the region of the roadway. The modeled pole-like objects 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 pole-like object model is accessed and compared to the received sensor data. Based on the comparison, localization of the user located at the region of the roadway is performed.

Patent Agency Ranking