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公开(公告)号：US11993290B2
公开(公告)日：2024-05-28
申请号：US17710177
申请日：2022-03-31
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Gideon Stein
CPC classification number: B60W60/00274 , B60W60/0016 , G05D1/0246 , G05D1/0251 , G06V20/58 , G06V20/588 , G08G1/09623 , G08G1/09626 , G08G1/167 , B60W2420/403 , B60W2552/53
Abstract: A vehicle navigation system may comprise a memory including instructions and circuitry configured by the instructions to identify a target vehicle in an environment of a vehicle that includes the vehicle navigation system. The circuitry may receive image data of the target vehicle from an image capture device of the vehicle; identify, based on analysis of the image data, a situational characteristic of the target vehicle including an indication that the target vehicle is traveling behind an additional vehicle traveling slower than the target vehicle; and change a navigational state of the vehicle to allow an action of the target vehicle. The vehicle may be configured to cause the change in the navigational state based on a determination that the situational characteristic indicates that the target vehicle would benefit from the change in the navigational state.
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公开(公告)号：US20240161622A1
公开(公告)日：2024-05-16
申请号：US18373528
申请日：2023-09-27
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Gideon Stein , Itay Blumenthal , Nadav Shaag , Jeffrey Moskowitz
CPC classification number: G08G1/166 , B60W40/06 , G06T7/248 , G06T7/55 , G06V10/764 , G06V10/82 , G06V20/56 , G06V20/58 , G08G1/165 , B60W2420/403 , 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：US20240161331A1
公开(公告)日：2024-05-16
申请号：US18423640
申请日：2024-01-26
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Gideon Stein
IPC: G06T7/70 , G01C21/00 , G01C21/16 , G01C21/32 , G01C21/36 , G06V10/772 , G06V20/56 , G06V20/58 , G08G1/16
CPC classification number: G06T7/70 , G01C21/005 , G01C21/16 , G01C21/32 , G01C21/3658 , G01C21/3837 , G01C21/3844 , G06V10/772 , G06V20/584 , G06V20/588 , G08G1/167 , G06T2207/30244 , G06T2207/30261
Abstract: Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive images captured over a time period; analyze images to identify a target vehicle; receive map information associated including a plurality of target trajectories; determine, based on a size of a representation of the target vehicle in the plurality of images, first and second estimated positions of the target vehicle within the time period, determine, based on the first and second estimated positions, a trajectory of the target vehicle over the time period; compare the determined trajectory to the plurality of target trajectories to identify a target trajectory traversed by the target vehicle; determine, based on the identified target trajectory, a position of the target vehicle; and determine a navigational action for the host vehicle based on the determined position.
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公开(公告)号：US11854272B2
公开(公告)日：2023-12-26
申请号：US17207206
申请日：2021-03-19
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Gideon Stein , Erez Dagan
CPC classification number: G06V20/58 , G06T7/248 , G06T7/40 , G06V20/588 , H04N7/183 , G06T2207/10016 , G06T2207/30256 , G06T2207/30261
Abstract: Computerized methods are performable by a driver assistance system while the host vehicle is moving. The driver assistance system includes a camera connectible to a processor. First and second image frames are captured from the field of view of the camera. Corresponding image points of the road are tracked from the first image frame to the second image frame. Image motion between the corresponding image points of the road is processed to detect a hazard in the road. The corresponding image points are determined to be of a moving shadow cast on the road to avoid a false positive detection of a hazard in the road or the corresponding image points are determined not to be of a moving shadow cast on the road to verify detection of a hazard in the road.
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公开(公告)号：US11463610B2
公开(公告)日：2022-10-04
申请号：US16611667
申请日：2018-05-10
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Gideon Stein , Ori Eytan , Efim Belman , Moshe Katiee
Abstract: An imaging system is provided for a vehicle. In one implementation, the imaging system includes an imaging module, a first camera coupled to the imaging module, a second camera coupled to the imaging module, and a mounting assembly configured to attach the imaging module to the vehicle such that the first and second camera face outward with respect to the vehicle. The first camera has a first field of view and a first optical axis, and the second camera has a second field of view and a second optical axis. The first optical axis crosses the second optical axis in at least one crossing point of a crossing plane. The first camera is focused a first horizontal distance beyond the crossing point of the crossing plane and the second camera is focused a second horizontal distance beyond the crossing point of the crossing plane.
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Patent Agency Ranking
公开(公告)号：US11170466B2
公开(公告)日：2021-11-09
申请号：US16867059
申请日：2020-05-05
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Harel Livyatan , Oded Berberian , Barak Cohen , Gideon Stein
Abstract: Determining three-dimensional structure in a road environment using a system mountable in a host vehicle including a camera connectible to a processor. Multiple image frames are captured in the field of view of the camera. In the image frames, a line is selected below which the road is imaged. The line separates between upper images essentially excluding images of the road and lower images essentially including images of the road. One or more of the lower images is warped, according to a road homography to produce at least one warped lower image. The three-dimensional structure may be provided from motion of a matching feature within the upper images or from motion of a matching feature within at least one of the lower images and at least one warped lower image.
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公开(公告)号：US20200285864A1
公开(公告)日：2020-09-10
申请号：US16599837
申请日：2019-10-11
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Gideon Stein
Abstract: Driver assistance systems for detecting a structural barrier extending along a road. The driver assistance system may be mountable in a host vehicle. The camera may capture multiple image frames in the forward field of view of the camera. A processor may process motion of images of the barrier in the image frames. The camera may be a single camera. The motion of the images may be responsive to forward motion of the host vehicle and/or the motion of the images may be responsive to lateral motion of the host vehicle.
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公开(公告)号：US10698414B2
公开(公告)日：2020-06-30
申请号：US16021533
申请日：2018-06-28
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Gideon Stein , Shai Shalev-Shwartz , Shaked Shammah , Amnon Shashua
IPC: G05D1/00 , G05D1/02 , G06N20/00 , B60W30/09 , G01C21/34 , G06K9/00 , G06N3/00 , G06N3/08 , G06N7/00 , G06N3/04 , B60W30/095 , B60W50/00 , G06N5/04 , B60W50/04 , G01C21/36
Abstract: Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to: receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; provide the navigational state to a trained navigational system; receive, from the trained navigational system, a desired navigational action for execution by the host vehicle in response to the identified navigational state; analyze the desired navigational action relative to one or more predefined navigational constraints; determine an actual navigational action for the host vehicle, wherein the actual navigational action includes at least one modification of the desired navigational action determined based on the one or more predefined navigational constraints; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined actual navigational action for the host vehicle.
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公开(公告)号：US10685424B2
公开(公告)日：2020-06-16
申请号：US15957763
申请日：2018-04-19
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Harel Livyatan , Oded Berberian , Barak Cohen , Gideon Stein
Abstract: Determining three-dimensional structure in a road environment using a system mountable in a host vehicle including a camera connectable to a processor. Multiple image frames are captured in the field of view of the camera. In the image frames, a line is selected below which the road is imaged. The line separates between upper images essentially excluding images of the road and lower images essentially including images of the road. One or more of the lower images is warped, according to a road homography to produce at least one warped lower image. The three-dimensional structure may be provided from motion of a matching feature within the upper images or from motion of a matching feature within at least one of the lower images and at least one warped lower image.
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公开(公告)号：US10606278B2
公开(公告)日：2020-03-31
申请号：US16019883
申请日：2018-06-27
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Shai Shalev-Shwartz , Shaked Shammah , Amnon Shashua , Yoav Taieb , Gideon Stein
IPC: G05D1/02 , G05D1/00 , G01C21/34 , G06N20/00 , B60W30/09 , G06K9/00 , G06N3/00 , G06N3/08 , G06N7/00 , G06N3/04 , B60W30/095 , B60W50/00 , G06N5/04 , B60W50/04 , G01C21/36
Abstract: Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to: receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; provide the navigational state to a trained navigational system; receive, from the trained navigational system, a desired navigational action for execution by the host vehicle in response to the identified navigational state; analyze the desired navigational action relative to one or more predefined navigational constraints; determine an actual navigational action for the host vehicle, wherein the actual navigational action includes at least one modification of the desired navigational action determined based on the one or more predefined navigational constraints; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined actual navigational action for the host vehicle.
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