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公开(公告)号：US10513269B2
公开(公告)日：2019-12-24
申请号：US15891365
申请日：2018-02-07
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Gideon Stein , Itay Blumenthal , Nadav Shaag
IPC: B60W40/06 , B60W50/00 , B62D15/02 , B60G17/018 , G05D1/02 , G06K9/46 , G06T3/40 , B60T8/172 , G06T7/55 , G06K9/00
Abstract: Systems and methods are provided for determining a road profile along a predicted path. In one implementation, a system includes at least one image capture device configured to acquire a plurality of images of an area in a vicinity of a user vehicle; a data interface; and at least one processing device configured to receive the plurality of images captured by the image capture device through the data interface; and compute a profile of a road along one or more predicted paths of the user vehicle. At least one of the one or more predicted paths is predicted based on image data.
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公开(公告)号：US20190034739A1
公开(公告)日：2019-01-31
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: G06K9/00 , G06T7/40 , G06T7/13 , G06T7/73 , H04N7/18 , G06K9/52 , G06T7/60 , G06K9/46 , G06T7/20 , G06T5/00
CPC classification number: G06K9/00791 , G06K9/4604 , G06K9/52 , G06T5/006 , G06T7/13 , G06T7/20 , G06T7/40 , G06T7/60 , G06T7/74 , G06T2207/30252 , H04N7/18
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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公开(公告)号：US20180162408A1
公开(公告)日：2018-06-14
申请号：US15891365
申请日：2018-02-07
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Gideon Stein , Itay Blumenthal , Nadav Shaag
IPC: B60W40/06 , G06K9/46 , B62D15/02 , B60T8/172 , G06T7/55 , B60W50/00 , B60G17/018 , G05D1/02 , G06T3/40
Abstract: Systems and methods are provided for determining a road profile along a predicted path. In one implementation, a system includes at least one image capture device configured to acquire a plurality of images of an area in a vicinity of a user vehicle; a data interface; and at least one processing device configured to receive the plurality of images captured by the image capture device through the data interface; and compute a profile of a road along one or more predicted paths of the user vehicle. At least one of the one or more predicted paths is predicted based on image data.
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公开(公告)号：US12135742B1
公开(公告)日：2024-11-05
申请号：US18222693
申请日：2023-07-17
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Abraham Hendler , Yonatan Shemesh , Gal Alkon , Tomer Hochbaum , Nadav Shaag , Ofer Moshe Springer , Ishay Levi , Yahel Guberman , Nir Zabari , Jeremy Atlan , Paz Lavi Bunis , Mordechai Ben Zecharia , Ido Kenan , Noa Schaffer
IPC: G06F16/58 , G06F3/0482 , G06F16/583
Abstract: The present disclosure is directed to searching an image database. A system may include at least one processor comprising circuitry and a memory, wherein the memory includes instructions that, when executed by the circuitry cause the at least one processor to: receive a first user input including one or more scenario descriptors, identify in a database an initial plurality of images based on the first user input and display the initial plurality of images to a user. The processor may be further configured to receive a second user input wherein the second user input identifies at least one of the initial plurality of images. The at least one processor may identify a refined plurality of images in the database based on the one or more scenario descriptors in combination with the second user input and display the refined plurality of images to the user.
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公开(公告)号：US12112497B2
公开(公告)日：2024-10-08
申请号：US17809612
申请日：2022-06-29
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Chaim Blau , Ofer Springer , Kevin Rosenblum , Alon Ziv , Erez Dagan , David Boublil , Nadav Shaag , David Neuhof , Jeffrey Moskowitz , Gal Topel , Yotam Stern
IPC: G01S17/42 , B60W10/04 , B60W10/18 , B60W10/20 , B60W30/09 , B60W60/00 , G01B11/22 , G01C21/00 , G01C21/16 , G01C21/30 , G01S7/481 , G01S17/58 , G01S17/86 , G01S17/89 , G01S17/931 , G06T7/55 , H04N23/698 , H04N23/90
CPC classification number: G06T7/55 , B60W10/04 , B60W10/18 , B60W10/20 , B60W30/09 , B60W60/001 , G01B11/22 , G01C21/1652 , G01C21/1656 , G01C21/30 , G01C21/3885 , G01S7/4817 , G01S17/42 , G01S17/58 , G01S17/86 , G01S17/89 , G01S17/931 , H04N23/698 , H04N23/90 , B60W2420/403 , B60W2420/408 , B60W2554/20 , B60W2554/4042 , B60W2554/802 , B60W2556/45 , B60W2720/10 , B60W2720/24 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
Abstract: A navigation system for a host vehicle may include a processor programmed to: receive from a camera onboard the host vehicle at least one captured image representative of an environment of the host vehicle, wherein the camera is positioned at a first location relative to the host vehicle; receive point cloud information from a LIDAR system onboard the host vehicle, wherein the LIDAR system is positioned at a second location relative to the host vehicle; analyze the at least one captured image and the received point cloud information to detect one or more objects in the shared field of view region; determine whether a vantage point difference between the first location of the camera and the second location of the LIDAR system accounts for the one or more detected objects being represented in only one of the at least one captured image or the received point cloud information.
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Patent Agency Ranking
公开(公告)号：US20240177417A1
公开(公告)日：2024-05-30
申请号：US17777212
申请日：2021-03-01
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Gideon Stein , Itay Blumenthal , Jeffrey Moskowitz , Nadav Shaag , Natalie Carlebach
CPC classification number: G06T17/05 , G06T3/18 , G06T5/50 , G06T5/60 , G06T2207/20081 , G06T2207/20084
Abstract: System and techniques for vehicle environment modeling with a camera are described herein. A device for modeling an environment comprises: a hardware sensor interface to obtain a sequence of unrectified images representative of a road environment, the sequence of unrectified images including a first unrectified image, a previous unrectified image, and a previous-previous unrectified image; and processing circuitry to: provide the first unrectified image, the previous unrectified image, and the previous-previous unrectified image to an artificial neural network (ANN) to produce a three-dimensional structure of a scene; determine a selected homography; and apply the selected homography to the three-dimensional structure of the scene to create a model of the road environment.
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公开(公告)号：US11869253B2
公开(公告)日：2024-01-09
申请号：US18095626
申请日：2023-01-11
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Gideon Stein , Itay Blumenthal , Jeffrey Moskowitz , Nadav Shaag , Natalie Carlebach
CPC classification number: G06V20/588 , B60W40/06 , G06T7/50 , B60W2420/42 , G06T2207/20081 , G06T2207/20084
Abstract: System and techniques for vehicle environment modeling with a camera are described herein. A device for modeling an environment comprises: a hardware sensor interface to obtain a sequence of unrectified images representative of a road environment, the sequence of unrectified images including a first unrectified image, a previous unrectified image, and a previous-previous unrectified image; and processing circuitry to: provide the first unrectified image, the previous unrectified image, and the previous-previous unrectified image to an artificial neural network (ANN) to produce a three-dimensional structure of a scene; determine a selected homography; and apply the selected homography to the three-dimensional structure of the scene to create a model of the road environment.
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公开(公告)号：US11816991B2
公开(公告)日：2023-11-14
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: G06K9/00 , G08G1/16 , G06T7/55 , B60W40/06 , G06T7/246 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/58
CPC classification number: G08G1/166 , B60W40/06 , G06T7/248 , G06T7/55 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/58 , G08G1/165 , B60W2420/42 , G06T2207/10016 , G06T2207/10028 , G06T2207/20084 , G06T2207/30252
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.
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公开(公告)号：US11734848B2
公开(公告)日：2023-08-22
申请号：US17809641
申请日：2022-06-29
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Ofer Springer , David Neuhof , Jeffrey Moskowitz , Gal Topel , Nadav Shaag , Yotam Stern , Roy Lotan , Shahar Harouche , Daniel Einy
IPC: G01S17/86 , G01C21/30 , G06T7/55 , G01S17/931 , B60W60/00 , G01B11/22 , G01S17/89 , B60W10/04 , B60W10/18 , B60W10/20 , B60W30/09 , G01C21/00 , G01C21/16 , G01S7/481 , G01S17/42 , G01S17/58 , H04N23/90 , H04N23/698
CPC classification number: G06T7/55 , B60W10/04 , B60W10/18 , B60W10/20 , B60W30/09 , B60W60/001 , G01B11/22 , G01C21/1652 , G01C21/1656 , G01C21/30 , G01C21/3885 , G01S7/4817 , G01S17/42 , G01S17/58 , G01S17/86 , G01S17/89 , G01S17/931 , H04N23/698 , H04N23/90 , B60W2420/42 , B60W2420/52 , B60W2554/20 , B60W2554/4042 , B60W2554/802 , B60W2556/45 , B60W2720/10 , B60W2720/24 , G06T2207/10028 , G06T2207/20081 , G06T2207/20084 , G06T2207/30252
Abstract: A navigation system for a host vehicle may include a processor programmed to: receive from a center camera onboard the host vehicle a captured center image including a representation of at least a portion of an environment of the host vehicle, receive from a left surround camera onboard the host vehicle a captured left surround image including a representation of at least a portion of the environment of the host vehicle, and receive from a right surround camera onboard the host vehicle a captured right surround image including a representation of at least a portion of the environment of the host vehicle; provide the center image, the left surround image, and the right surround image to an analysis module configured to generate an output relative to the at least one captured center image; and cause a navigational action by the host vehicle based on the generated output.
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公开(公告)号：US11192557B2
公开(公告)日：2021-12-07
申请号：US16667884
申请日：2019-10-29
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Gideon Stein , Itay Blumenthal , Nadav Shaag
IPC: B60W40/06 , B60W50/00 , B62D15/02 , B60G17/018 , G05D1/02 , G06K9/46 , G06T3/40 , B60T8/172 , G06T7/55 , G06K9/00
Abstract: Systems and methods are provided for determining a road profile along a predicted path. In one implementation, a system includes at least one image capture device configured to acquire a plurality of images of an area in a vicinity of a user vehicle; a data interface; and at least one processing device configured to receive the plurality of images captured by the image capture device through the data interface; and compute a profile of a road along one or more predicted paths of the user vehicle. At least one of the one or more predicted paths is predicted based on image data.
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