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公开(公告)号:US20150317525A1
公开(公告)日:2015-11-05
申请号:US14798575
申请日:2015-07-14
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Gideon Stein , Amnon Shashua
IPC: G06K9/00 , G06K9/46 , B60W40/076
CPC classification number: H04N7/18 , B60W40/076 , B60W2420/42 , B60W2550/142 , G06K9/00798 , G06K9/46 , G06K2009/4666
Abstract: Various driver assistance systems mountable in a host vehicle and computerized methods for detecting a vertical deviation of a road surface. The driver assistance system includes a camera operatively connectible to a processor. Multiple consecutive image frames are captured from the camera including a first image of the road and a second image of the road. Based on the host vehicle motion, the second image is warped toward the first image to produce thereby a warped second image. Image points of the road in the first image and corresponding image points of the road in the warped second image are tracked. Optical flow is computed between the warped second image to the first image. The optical flow is compared with an optical flow based on a road surface model to produce a residual optical flow. The vertical deviation is computed from the residual optical flow.
Abstract translation: 可安装在主车辆中的各种驾驶员辅助系统和用于检测路面垂直偏差的计算机化方法。 驾驶员辅助系统包括可操作地连接到处理器的照相机。 从相机捕获多个连续的图像帧,包括道路的第一图像和道路的第二图像。 基于主车辆运动,第二图像朝向第一图像翘曲,从而产生翘曲的第二图像。 跟踪第一图像中道路的图像点和扭曲的第二图像中道路的对应图像点。 在翘曲的第二图像与第一图像之间计算光流。 将光流与基于路面模型的光流进行比较以产生残余光流。 从残余光流量计算垂直偏差。
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公开(公告)号:US09168868B2
公开(公告)日:2015-10-27
申请号:US13874041
申请日:2013-04-30
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Gideon Stein , Erez Dagan , Ofer Mano , Amnon Shashua
CPC classification number: G06K9/00805 , B60Q9/008 , B60T7/22 , G06T7/248 , G06T7/337 , G06T7/74 , G06T2207/10004 , G06T2207/30232 , G06T2207/30236 , G06T2207/30241 , G06T2207/30252 , G06T2207/30256 , G08G1/16 , G08G1/161 , G08G1/166
Abstract: A method of estimating a time to collision (TTC) of a vehicle with an object comprising: acquiring a plurality of images of the object; and determining a TTC from the images that is responsive to a relative velocity and relative acceleration between the vehicle and the object.
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公开(公告)号:US20150085119A1
公开(公告)日:2015-03-26
申请号:US14378798
申请日:2013-02-13
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Erez Dagan , Noam Kahlon , Micky Latowicki , Gideon Stein
CPC classification number: G06K9/00805 , G06T7/20 , G06T2207/10016 , G06T2207/10021 , G06T2207/30252 , G06T2207/30261
Abstract: Computing a time-to-contact (TTC) of a vehicle with an object. The object includes a light source. The system mountable in the vehicle includes a camera and a processor configured to capture images of the object. The processor is operable to track a spot between the images to produce a tracked spot. The spot includes an image of the light source. The processor is operable to compute time-to-contact (TTC) responsive to changes in brightness of the tracked spot.
Abstract translation: 计算具有物体的车辆的时间 - 接触(TTC)。 物体包括光源。 可安装在车辆中的系统包括相机和被配置为捕获对象的图像的处理器。 处理器可操作地跟踪图像之间的点以产生跟踪点。 现场包括光源的图像。 处理器可操作以响应跟踪点的亮度变化来计算时间 - 接触(TTC)。
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公开(公告)号:US12242287B2
公开(公告)日:2025-03-04
申请号:US18613373
申请日:2024-03-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Dor Eagelberg , Gideon Stein , Yoav Taieb , Yoram Gdalyahu , Ofer Fridman
IPC: G05D1/43 , B60W30/09 , G01C21/34 , G05D1/00 , G05D1/249 , G05D1/81 , G06N3/045 , G06V20/56 , G06V20/58
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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公开(公告)号:US12114056B2
公开(公告)日:2024-10-08
申请号:US17811735
申请日:2022-07-11
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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公开(公告)号:US20240286649A1
公开(公告)日:2024-08-29
申请号:US18654371
申请日:2024-05-03
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Gideon Stein
IPC: B60W60/00 , G06V20/56 , G06V20/58 , G08G1/0962 , G08G1/16
CPC classification number: B60W60/00274 , B60W60/0016 , G06V20/58 , G06V20/588 , G08G1/09623 , G08G1/09626 , G08G1/167 , B60W2420/403 , B60W2552/53
Abstract: A vehicle navigation system for detecting and responding to a cut-in by a target vehicle is disclosed. The vehicle navigation system includes at least one processor configured to receive image data captured by an image capture device of the host vehicle; identify, based on analysis of the image data, a target vehicle traveling in a lane adjacent to a lane in which the host vehicle is traveling; determine, based on analysis of the image data, that a predetermined cut in sensitivity change factor is present; and based on the determination that the predetermined cut in sensitivity change factor is present, cause a navigational response in the host vehicle.
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公开(公告)号:US20240132154A1
公开(公告)日:2024-04-25
申请号:US18535458
申请日:2023-12-11
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Gideon Stein , Itay Blumenthal , Nadav Shaag
IPC: B62D15/02 , B60G17/0165 , B60G17/018 , B60G17/019 , B60T8/172 , B60W40/06 , B60W50/00 , G06T3/40 , G06T7/55 , G06V10/40 , G06V20/56
CPC classification number: B62D15/025 , B60G17/0165 , B60G17/0182 , B60G17/019 , B60T8/172 , B60W40/06 , B60W50/0097 , B62D15/021 , B62D15/0295 , G06T3/40 , G06T7/55 , G06V10/40 , G06V20/588 , B60T2201/08 , B60T2201/083 , B60T2210/32 , G06T2207/10021 , G06T2207/20084 , G06T2207/30241 , G06T2207/30256
Abstract: Systems and methods are provided for navigating a host vehicle. A navigation system for the host vehicle may include at least one processor programmed to receive an image representative of an environment of a host vehicle; analyze the image to determine a predicted path of the host vehicle; determine, based on the image, an indicator of comfort associated with the predicted path; identify, based on the indicator of comfort, an alternative path of the host vehicle; and output a control signal configured to modify an operation of a component of the host vehicle to follow the alternative path of the host vehicle.
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公开(公告)号:US11763571B2
公开(公告)日:2023-09-19
申请号:US17366377
申请日:2021-07-02
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Oded Berberian , Gideon Stein
IPC: G06K9/00 , H04N13/271 , G06V20/58 , G06V20/56
CPC classification number: G06V20/58 , G06V20/588 , H04N13/271
Abstract: Detection of three dimensional obstacles 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, an imaged feature is detected of an object in the environment of the vehicle. The image frames are portioned locally around the imaged feature to produce imaged portions of the image frames including the imaged feature. The image frames are processed to compute a depth map locally around the detected imaged feature in the image portions. Responsive to the depth map, it is determined if the object is an obstacle to the motion of the vehicle.
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公开(公告)号:US20220366706A1
公开(公告)日:2022-11-17
申请号:US17841937
申请日:2022-06-16
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Gideon Stein , Itay Blumenthal , Jeffrey Moskowitz , Nadav Shaag , Natalie Carlebach
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:US11263770B2
公开(公告)日:2022-03-01
申请号:US16520295
申请日:2019-07-23
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Gideon Stein
Abstract: Systems and methods for navigating a host vehicle. The system may perform operations comprising receiving, from an image capture device, a plurality of images representative of an environment of the host vehicle; analyzing at least one of the plurality of images to identify a first object in the environment of the vehicle, wherein the first object and a road on which the first object is located are at least partially obscured by a second object in the environment of the vehicle; determining scale change information for the first object based on at least two of the plurality of images; determining, based on the determined scale change information for the first object, a lane position of the first object relative to a lane of the road on which the first object is located; and determining a navigational action for the host vehicle based on the determined lane position.
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