CROWD-SOURCED 3D POINTS AND POINT CLOUD ALIGNMENT

    公开(公告)号:US20220383545A1

    公开(公告)日:2022-12-01

    申请号:US17824264

    申请日:2022-05-25

    Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.

    Fully aligned junctions
    3.
    发明授权

    公开(公告)号:US12264936B2

    公开(公告)日:2025-04-01

    申请号:US17824305

    申请日:2022-05-25

    Abstract: Systems and methods for creating maps used in navigating autonomous vehicles are disclosed. In one implementation at least one processor is programmed to receive drive information from each of a plurality of vehicles that traverse different entrance-exit combinations of a road junction; for each of the entrance-exit combinations, align three-dimensional feature points in the drive information to generate a plurality of aligned three-dimensional feature point groups, one for each entrance-exit combination of the road junction; correlate one or more three-dimensional feature points in each of the plurality of aligned three-dimensional feature point groups with one or more three-dimensional feature points included in every other aligned three-dimensional feature point group from among the plurality of aligned three-dimensional feature point groups; and generate a sparse map based on the correlation, the sparse map including a target trajectory associated with each of the entrance-exit combinations.

    BATCH ALIGNMENT FOR NAVIGATION
    4.
    发明申请

    公开(公告)号:US20200089232A1

    公开(公告)日:2020-03-19

    申请号:US16694596

    申请日:2019-11-25

    Abstract: Systems and methods are provided for aligning navigation information from a plurality of vehicles. A server may be configured to receive navigation information from a plurality of vehicles, wherein the navigation information is associated with a common road segment. The server may align the navigation information within a coordinate system local to the common road segment, wherein the local coordinate system comprises a coordinate system based on a plurality of images captured by image sensors included on the plurality of vehicles; store the aligned navigational information in association with the common road segment; and distribute the aligned navigational information to one or more autonomous vehicles for use in autonomously navigating the one or more autonomous vehicles along the common road segment.

    Generating a Navigational Map
    5.
    发明申请

    公开(公告)号:US20220282990A1

    公开(公告)日:2022-09-08

    申请号:US17825758

    申请日:2022-05-26

    Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.

    FULLY ALIGNED JUNCTIONS
    6.
    发明申请

    公开(公告)号:US20220282989A1

    公开(公告)日:2022-09-08

    申请号:US17824305

    申请日:2022-05-25

    Abstract: Systems and methods for creating maps used in navigating autonomous vehicles are disclosed. In one implementation at least one processor is programmed to receive drive information from each of a plurality of vehicles that traverse different entrance-exit combinations of a road junction; for each of the entrance-exit combinations, align three-dimensional feature points in the drive information to generate a plurality of aligned three-dimensional feature point groups, one for each entrance-exit combination of the road junction; correlate one or more three-dimensional feature points in each of the plurality of aligned three-dimensional feature point groups with one or more three-dimensional feature points included in every other aligned three-dimensional feature point group from among the plurality of aligned three-dimensional feature point groups; and generate a sparse map based on the correlation, the sparse map including a target trajectory associated with each of the entrance-exit combinations.

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