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    VEHICLE ENVIRONMENT MODELING WITH A CAMERA
    21.
    发明申请
    VEHICLE ENVIRONMENT MODELING WITH A CAMERA 有权

    公开(公告)号：US20210118161A1

    公开(公告)日：2021-04-22

    申请号：US17104572

    申请日：2020-11-25

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Gideon Stein ,  Itay Blumenthal ,  Nadav Shaag ,  Jeffrey Moskowitz

    IPC: G06T7/55 ,  B60W40/06 ,  G06T7/246 ,  G08G1/16

    Abstract: System and techniques for vehicle environment modeling with a camera are described herein. A time-ordered sequence of images representative of a road surface may be obtained. An image from this sequence is a current image. A data set may then be provided to an artificial neural network (ANN) to produce a three-dimensional structure of a scene. Here, the data set includes a portion of the sequence of images that includes the current image, motion of the sensor from which the images were obtained, and an epipole. The road surface is then modeled using the three-dimensional structure of the scene.

    Adversarial approach to usage of lidar supervision to image depth estimation
    22.
    发明授权
    Adversarial approach to usage of lidar supervision to image depth estimation 有权

    公开(公告)号：US12260573B2

    公开(公告)日：2025-03-25

    申请号：US17698344

    申请日：2022-03-18

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Nadav Shaag

    IPC: G06T7/521 ,  G01B11/22 ,  G01S17/89 ,  G01S17/931 ,  G06N3/08

    Abstract: Techniques are disclosed for improving upon the usage of Light Detection and Ranging (LIDAR) supervision to perform image depth estimation. The techniques use a generator and adversary network to generate respective models that “compete” against one another to enable the generator model to output a desired output image that compensates for a LIDAR image having a structured or lined data pattern. The techniques described herein may be suitable for use by vehicles and/or other agents operating in a particular environment as part of machine vision algorithms that are implemented to perform autonomous and/or semi-autonomous functions.

    STEREO-ASSIST NETWORK FOR DETERMINING AN OBJECT'S LOCATION
    23.
    发明公开
    STEREO-ASSIST NETWORK FOR DETERMINING AN OBJECT'S LOCATION 审中-公开

    公开(公告)号：US20240273753A1

    公开(公告)日：2024-08-15

    申请号：US18645962

    申请日：2024-04-25

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Nadav Shaag ,  Ofer Springer

    IPC: G06T7/70 ,  G06T7/80 ,  G06V20/56 ,  H04W4/46

    CPC classification number: G06T7/70 ,  G06T7/80 ,  G06V20/56 ,  H04W4/46 ,  G06T2207/20084

    Abstract: Systems and methods for navigating a host vehicle are disclosed. In one implementation at least one processor is programmed to receive a first signature encoding generated by a first trained model implemented by a first processor associated with a first camera; receive a second signature encoding generated by a second trained model implemented by a second processor associated with a second camera; input the first signature encoding and the second signature encoding into a third trained model, wherein the third trained model is configured to determine a location of an object represented in the first image and the second image; and receive an indicator of the location of the object determined by the third trained model.

    Stereo-assist network for determining an object's location
    24.
    发明授权
    Stereo-assist network for determining an object's location 有权

    公开(公告)号：US11858504B2

    公开(公告)日：2024-01-02

    申请号：US17974789

    申请日：2022-10-27

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Nadav Shaag ,  Ofer Springer

    IPC: G06V20/58 ,  B60W30/095

    CPC classification number: B60W30/095 ,  G06V20/58 ,  B60W2420/42 ,  B60W2554/4029 ,  B60W2554/4041 ,  B60W2554/4049

    Abstract: Systems and methods for navigating a host vehicle are disclosed. In one implementation, a system includes a processor configured to receive a first image acquired by a first camera and a second image acquired by a second camera onboard the host vehicle; identify a first representation of an object in the first image and a second representation of the object in the second image; input to a first trained model at least a portion of the first image; input to a second trained model at least a portion of the second image; receive the first signature encoding determined by the first trained model and the second signature encoding determined by the second trained model; input to a third trained model the first signature encoding and the second signature encoding; and receive an indicator of a location of the object determined by the third trained model.

    Road vertical contour detection using a stabilized coordinate frame
    26.
    发明授权
    Road vertical contour detection using a stabilized coordinate frame 有权

    公开(公告)号：US10929691B2

    公开(公告)日：2021-02-23

    申请号：US16658360

    申请日：2019-10-21

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Gideon Stein ,  Itay Blumenthal ,  Nadav Shaag ,  Yaakov Kingsley

    IPC: H04N7/18 ,  G06K9/00 ,  G06T7/73 ,  G06T7/13 ,  G06K9/46 ,  G06K9/52 ,  G06T5/00 ,  G06T7/20 ,  G06T7/40 ,  G06T7/60

    Abstract: In some embodiments, a first homography, created from two images of a roadway, is decomposed to determine an ego-motion, and the ego-motion is used to adjust a previous estimate of a road plane. The adjusted previous estimate of the road plane is combined with the current estimate of the plane to create a second homography, and the second homography is used to determine residual motion and vertical deviation in the surface of the roadway. In some embodiments, multiple road profiles each corresponding to a common portion of a roadway are adjusted in slope and offset by optimizing a function having a data term, a smoothness term and a regularization term; and the adjusted road profiles are combined into a multi-frame road profile. In some embodiments, road profile information for a predetermined number of data points is transmitted in periodic data bursts, with more than one data point per data burst.

    VEHICLE ENVIRONMENT MODELING WITH A CAMERA
    27.
    发明申请
    VEHICLE ENVIRONMENT MODELING WITH A CAMERA 审中-公开

    公开(公告)号：US20190325595A1

    公开(公告)日：2019-10-24

    申请号：US16387969

    申请日：2019-04-18

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Gideon Stein ,  Itay Blumenthal ,  Nadav Shaag ,  Jeffrey Moskowitz

    IPC: G06T7/55 ,  B60W40/06 ,  G06T7/246 ,  G08G1/16

    Abstract: System and techniques for vehicle environment modeling with a camera are described herein. A time-ordered sequence of images representative of a road surface may be obtained. An image from this sequence is a current image. A data set may then be provided to an artificial neural network (ANN) to produce a three-dimensional structure of a scene. Here, the data set includes a portion of the sequence of images that includes the current image, motion of the sensor from which the images were obtained, and an epipole. The road surface is then modeled using the three-dimensional structure of the scene.

    Road vertical contour detection using a stabilized coordinate frame
    28.
    发明授权
    Road vertical contour detection using a stabilized coordinate frame 有权

    公开(公告)号：US10452928B2

    公开(公告)日：2019-10-22

    申请号：US16148817

    申请日：2018-10-01

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Gideon Stein ,  Itay Blumenthal ,  Nadav Shaag ,  Yaakov Kingsley

    IPC: H04N7/18 ,  G06K9/00 ,  G06T7/40 ,  G06T7/13 ,  G06T7/73 ,  G06K9/52 ,  G06T5/00 ,  G06K9/46 ,  G06T7/20 ,  G06T7/60

    Abstract: In some embodiments, a first homography, created from two images of a roadway, is decomposed to determine an ego-motion, and the ego-motion is used to adjust a previous estimate of a road plane. The adjusted previous estimate of the road plane is combined with the current estimate of the plane to create a second homography, and the second homography is used to determine residual motion and vertical deviation in the surface of the roadway. In some embodiments, multiple road profiles each corresponding to a common portion of a roadway are adjusted in slope and offset by optimizing a function having a data term, a smoothness term and a regularization term; and the adjusted road profiles are combined into a multi-frame road profile. In some embodiments, road profile information for a predetermined number of data points is transmitted in periodic data bursts, with more than one data point per data burst.

    Road vertical contour detection using a stabilized coordinate frame
    29.
    发明授权
    Road vertical contour detection using a stabilized coordinate frame 有权

    公开(公告)号：US10115024B2

    公开(公告)日：2018-10-30

    申请号：US15055322

    申请日：2016-02-26

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Gideon Stein ,  Itay Blumenthal ,  Nadav Shaag ,  Yaakov Kingsley

    IPC: H04N7/18 ,  G06K9/00 ,  G06K9/46 ,  G06K9/52 ,  G06T5/00 ,  G06T7/20 ,  G06T7/40 ,  G06T7/60 ,  G06T7/73 ,  G06T7/13

    Abstract: In some embodiments, a first homography, created from two images of a roadway, is decomposed to determine an ego-motion, and the ego-motion is used to adjust a previous estimate of a road plane. The adjusted previous estimate of the road plane is combined with the current estimate of the plane to create a second homography, and the second homography is used to determine residual motion and vertical deviation in the surface of the roadway. In some embodiments, multiple road profiles each corresponding to a common portion of a roadway are adjusted in slope and offset by optimizing a function having a data term, a smoothness term and a regularization term; and the adjusted road profiles are combined into a multi-frame road profile. In some embodiments, road profile information for a predetermined number of data points is transmitted in periodic data bursts, with more than one data point per data burst.

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