Overhead View Image Generation
    1.
    发明申请

    公开(公告)号:US20220020177A1

    公开(公告)日:2022-01-20

    申请号:US17215733

    申请日:2021-03-29

    IPC分类号: G06T7/90 G06T7/73

    摘要: The present invention relates to a method of generating an overhead view image of an area. More particularly, the present invention relates to a method of generating a contextual multi-image based overhead view image of an area using ground map data and field of view image data.
    Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to receive a plurality of images of the geographical area, determine a ground map of the geographical area, divide the ground map into a plurality of sampling points of the geographical area; and determine a color for each of the plurality of sampling points, wherein the color of each of the sampling points is determined by determining a correlation between the sampling points of the geographical area and color of the sampling points captured in at least one of the plurality of images.

    Systems and methods for automated image labeling for images captured from vehicles

    公开(公告)号:US11163998B2

    公开(公告)日:2021-11-02

    申请号:US16167170

    申请日:2018-10-22

    摘要: Systems, methods, and non-transitory computer-readable media can determine a first label at a first position in a first image captured from a vehicle, the first label indicating that a first object is depicted in the first image at the first position, wherein the first image is a two-dimensional image. The first object is identified in a three-dimensional coordinate space representative of an environment of the vehicle based on the first position of the first label within the first image. A second label is automatically generated at a second position in a second image captured from the vehicle based on simultaneous localization and mapping (SLAM) information associated with the vehicle. The second label indicates that the first object is depicted in the second image at the second position.

    SYSTEMS AND METHODS FOR ALIGNING MAP DATA

    公开(公告)号:US20210365682A1

    公开(公告)日:2021-11-25

    申请号:US17323461

    申请日:2021-05-18

    摘要: Systems, methods, and non-transitory computer-readable media can receive a geometric map and a semantic map associated with a geographic area, the semantic map comprising semantic data associated with vehicle navigation. A first semantic position estimate associated with a first piece of semantic data contained in the semantic map is generated based on semantic data location information associated with the first piece of semantic data. A final position for the first semantic position estimate is received. One or more three-dimensional semantic labels are applied to the geometric map based on the final position of the first semantic position estimate. A warped semantic map is generated. Generating the warped semantic map comprises warping the semantic map based on the one or more three-dimensional semantic labels.

    Overhead view image generation
    5.
    发明授权

    公开(公告)号:US11727601B2

    公开(公告)日:2023-08-15

    申请号:US17215733

    申请日:2021-03-29

    IPC分类号: G06T7/90 G06T7/73

    摘要: The present invention relates to a method of generating an overhead view image of an area. More particularly, the present invention relates to a method of generating a contextual multi-image based overhead view image of an area using ground map data and field of view image data.
    Various embodiments of the present technology can include methods, systems and non-transitory computer readable media and computer programs configured to receive a plurality of images of the geographical area, determine a ground map of the geographical area, divide the ground map into a plurality of sampling points of the geographical area; and determine a color for each of the plurality of sampling points, wherein the color of each of the sampling points is determined by determining a correlation between the sampling points of the geographical area and color of the sampling points captured in at least one of the plurality of images.