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    CROWD-SOURCED 3D POINTS AND POINT CLOUD ALIGNMENT
    11.
    发明申请
    CROWD-SOURCED 3D POINTS AND POINT CLOUD ALIGNMENT 有权

    公开(公告)号：US20220383545A1

    公开(公告)日：2022-12-01

    申请号：US17824264

    申请日：2022-05-25

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Gideon Wachtel ,  Yoav Taieb ,  Yahel Guberman ,  Ofer Fridman ,  Raz Cohen Maslaton ,  Moshe Shenfeld ,  Ori Segel ,  Ofer Springer

    IPC: G06T7/73 ,  G01S19/45 ,  G06V20/58 ,  G06V10/44 ,  G08G1/04 ,  B60R1/22 ,  G01C21/00

    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.

    MAP FEATURES DELIVERED VIA AUGMENTED REALITY (AR)
    16.
    发明申请
    MAP FEATURES DELIVERED VIA AUGMENTED REALITY (AR) 有权

    公开(公告)号：US20250116523A1

    公开(公告)日：2025-04-10

    申请号：US18983866

    申请日：2024-12-17

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Eyal Bagon ,  Ofer Springer

    IPC: G01C21/30 ,  B60Q9/00 ,  B60R11/00 ,  B60R11/02 ,  G06F3/01 ,  G06T7/73 ,  G06T19/00

    Abstract: Techniques are disclosed for using augmented reality (AR) displays to convey graphical representations of different types of information to a user. The information may be obtained from various sources such as objects and/or features that are dynamically detected by a vehicle or user-generated content. The graphical representations may also be based upon information that may be obtained via the use of crowdsourced AV map data. The graphical representations may be presented in as an AR view in a medium (such as a vehicle windshield) that matches a field of view of a user, thus accurately blending holographic information with the physical objects in the scene.

    FULLY ALIGNED JUNCTIONS
    17.
    发明申请
    FULLY ALIGNED JUNCTIONS 有权

    公开(公告)号：US20220282989A1

    公开(公告)日：2022-09-08

    申请号：US17824305

    申请日：2022-05-25

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Yahel Guberman ,  Ofer Springer ,  Ofer Fridman ,  Yoav Taieb

    IPC: G01C21/00

    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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