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    Generating a Navigational Map
    11.
    发明申请
    Generating a Navigational Map 有权

    公开(公告)号：US20220282990A1

    公开(公告)日：2022-09-08

    申请号：US17825758

    申请日：2022-05-26

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Nadav Reuveni ,  Ben-Tzion Lifshitz ,  Ofer Eliassaf ,  Ofer Fridman ,  Yahel Guberman

    IPC: 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.

    FULLY ALIGNED JUNCTIONS
    12.
    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.

    CROWD-SOURCED 3D POINTS AND POINT CLOUD ALIGNMENT
    18.
    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.

    SYSTEMS AND METHODS FOR NAVIGATING LANE MERGES AND LANE SPLITS
    19.
    发明申请
    SYSTEMS AND METHODS FOR NAVIGATING LANE MERGES AND LANE SPLITS 有权

    公开(公告)号：US20220283591A1

    公开(公告)日：2022-09-08

    申请号：US17824508

    申请日：2022-05-25

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Dor Eagelberg ,  Gideon Stein ,  Yoav Taieb ,  Yoram Gdalyahu ,  Ofer Fridman

    IPC: G05D1/02 ,  G01C21/34 ,  B60W30/09 ,  G06V20/58 ,  G06V20/56 ,  G05D1/00

    Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system includes a processing device programmed to receive a plurality of images representative of an environment of the host vehicle. The environment includes a road on which the host vehicle is traveling. The at least one processing device is further programmed to analyze the images to identify a target vehicle traveling in a lane of the road different from a lane in which the host vehicle is traveling; analyze the images to identify a lane mark associated with the lane in which the target vehicle is traveling; detect lane mark characteristics of the identified lane mark; use the detected lane mark characteristics to determine a type of the identified lane mark; determine a characteristic of the target vehicle; and determine a navigational action for the host vehicle based on the determined lane mark type and the determined characteristic of the target vehicle.

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