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公开(公告)号:US11960293B2
公开(公告)日:2024-04-16
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
CPC classification number: G05D1/0246 , B60W30/09 , G01C21/34 , G05D1/0088 , G06V20/58 , G06V20/588 , G05D2201/0213 , G06N3/045
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:US09690293B2
公开(公告)日:2017-06-27
申请号:US15273044
申请日:2016-09-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Amnon Shashua , Aran Reisman , Daniel Braunstein , Yoav Taieb , Igor Tubis
IPC: G05D1/00 , G05D1/02 , G01C21/32 , G06F17/30 , B60W30/18 , G01C21/14 , G08G1/0967 , B62D15/02 , G08G1/0962 , G08G1/16 , G01C21/34 , G01C21/36 , G06K9/00 , G01C21/16 , G08G1/01 , B60W30/14 , G08G1/0968 , H04L29/08 , G06T7/00 , G01S19/10
CPC classification number: G05D1/0088 , B60W30/14 , B60W30/18 , B60W2420/42 , B60W2550/22 , B60W2710/18 , B60W2710/20 , B60W2720/10 , B62D15/025 , G01C21/14 , G01C21/165 , G01C21/32 , G01C21/34 , G01C21/3407 , G01C21/3476 , G01C21/36 , G01C21/3602 , G01C21/3623 , G01C21/3644 , G01C21/3691 , G01S19/10 , G05D1/0212 , G05D1/0219 , G05D1/0221 , G05D1/0246 , G05D1/0251 , G05D1/0253 , G05D1/0278 , G05D1/0287 , G05D2201/0213 , G06F17/30241 , G06F17/30377 , G06K9/00791 , G06K9/00798 , G06K9/00818 , G06K9/00825 , G06K9/3258 , G06T7/00 , G06T2207/20081 , G06T2207/30256 , G06T2207/30261 , G08G1/0112 , G08G1/09623 , G08G1/096725 , G08G1/096805 , G08G1/167 , H04L67/12
Abstract: A system for navigating an autonomous vehicle along a road segment is disclosed. The system may have at least one processor. The processor may be programmed to receive from an image capture device, images representative of an environment of the autonomous vehicle. The processor may also be programmed to determine a travelled trajectory along the road segment based on analysis of the images. Further, the processor may be programmed to determine a current location of the autonomous vehicle along a predetermined road model trajectory based on analysis of one or more of the plurality of images. The processor may also be programmed to determine a heading direction based on the determined traveled trajectory. In addition, the processor may be programmed to determine a steering direction, relative to the heading direction, by comparing the traveled trajectory to the predetermined road model trajectory at the current location of the autonomous vehicle.
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公开(公告)号:US20170010105A1
公开(公告)日:2017-01-12
申请号:US15272789
申请日:2016-09-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Yoram Gdalyahu , Amnon Shashua , Yoav Taieb , Daniel Braunstein , David Huberman , Levi Bellaiche
CPC classification number: G05D1/0088 , B60W30/14 , B60W30/18 , B60W2420/42 , B60W2550/22 , B60W2710/18 , B60W2710/20 , B60W2720/10 , B62D15/025 , G01C21/14 , G01C21/165 , G01C21/32 , G01C21/34 , G01C21/3407 , G01C21/3476 , G01C21/36 , G01C21/3602 , G01C21/3623 , G01C21/3644 , G01C21/3691 , G01S19/10 , G05D1/0212 , G05D1/0219 , G05D1/0221 , G05D1/0246 , G05D1/0251 , G05D1/0253 , G05D1/0278 , G05D1/0287 , G05D2201/0213 , G06F17/30241 , G06F17/30377 , G06K9/00791 , G06K9/00798 , G06K9/00818 , G06K9/00825 , G06K9/3258 , G06T7/00 , G06T2207/20081 , G06T2207/30256 , G06T2207/30261 , G08G1/0112 , G08G1/09623 , G08G1/096725 , G08G1/096805 , G08G1/167 , H04L67/12
Abstract: A system for autonomously navigating a vehicle along a road segment may be based on a predetermined landmark location. The system may include at least one processor programmed to receive from a camera, at least one image representative of an environment of the vehicle, and determine a position of the vehicle along a predetermined road model trajectory associated with the road segment based, at least in part, on information associated with the at least one image. The at least one processor may be further programmed to identify a recognized landmark forward of the vehicle based on the determined position, wherein the recognized landmark is beyond a sight range of the camera, and determine a current distance between the vehicle and the recognized landmark by comparing the determined position of the vehicle with a predetermined position of the recognized landmark. The at least one processor may also be programmed to determine an autonomous navigational response for the vehicle based on the determined current distance.
Abstract translation: 用于沿道路段自主地导航车辆的系统可以基于预定的地标位置。 系统可以包括至少一个处理器,其被编程为从照相机接收至少一个代表车辆环境的图像,并且至少基于以下方式确定车辆沿着与道路段相关联的预定道路模型轨迹的位置 关于与所述至少一个图像相关联的信息的部分。 所述至少一个处理器可以进一步被编程为基于所确定的位置来识别车辆前方的识别的地标,其中所识别的地标超出所述摄像机的视野范围,并且通过以下方式确定所述车辆与所识别的地标之间的当前距离 将所确定的车辆位置与所识别的地标的预定位置进行比较。 所述至少一个处理器还可以被编程为基于所确定的当前距离来确定车辆的自主导航响应。
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公开(公告)号:US12264936B2
公开(公告)日:2025-04-01
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 , B60R1/22 , B60W30/095 , B60W60/00 , G01C21/30 , G01S19/45 , G05D1/00 , G06T7/73 , G06V10/44 , G06V20/58 , G08G1/04
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.
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公开(公告)号:US11054827B2
公开(公告)日:2021-07-06
申请号:US15673323
申请日:2017-08-09
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Yoram Gdalyahu , Amnon Shashua , Yoav Taieb , Daniel Braunstein , David Huberman , Levi Bellaiche
IPC: G05D1/00 , G06F16/29 , G06F16/23 , G01C21/32 , G06K9/32 , B60W30/18 , G01C21/14 , G05D1/02 , G08G1/0967 , B62D15/02 , G08G1/0962 , G08G1/16 , G01C21/34 , G01C21/36 , G06K9/00 , G01C21/16 , G08G1/01 , B60W30/14 , G08G1/0968 , H04L29/08 , G06T7/00 , G01S19/10
Abstract: A system for autonomously navigating a vehicle through a road junction may include at least one processor programmed to receive from an image capture device at least one image representative of an environment of the vehicle. The processor may also be configured to analyze the image to identify two or more landmarks located in the environment of the vehicle and to determine, for each of the two or more landmarks, a directional indicator relative to the vehicle. The processor may be configured to determine a current location of the vehicle relative to the road junction based on an intersection of the directional indicators a heading for the vehicle based on the directional indicators for the two or more landmarks. The processor may be configured to determine a steering angle for the vehicle by comparing the vehicle heading with a predetermined road model trajectory at the current location of the vehicle.
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公开(公告)号:US10782703B2
公开(公告)日:2020-09-22
申请号:US16434050
申请日:2019-06-06
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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公开(公告)号:US10649462B2
公开(公告)日:2020-05-12
申请号:US16019892
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 , G06N20/00 , B60W30/09 , G01C21/34 , G05D1/00 , 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:US10514705B2
公开(公告)日:2019-12-24
申请号:US16434391
申请日:2019-06-07
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Shai Shalev-Shwartz , Shaked Shammah , Amnon Shashua , Yoav Taieb , Gideon Stein
IPC: G05D1/02 , G06N20/00 , B60W30/09 , G01C21/34 , G05D1/00 , G06K9/00 , G06N3/00 , B60W30/095 , B60W50/00 , G06N5/04 , B60W50/04 , G01C21/36
Abstract: A navigation system for a host vehicle is provided. The system may comprise 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; determine a first predefined navigational constraint implicated by at least one aspect of the navigational state; identify, based on analysis of the plurality of images, a presence of at least one navigational constraint augmentation factor; determine a second navigational constraint based on identification of the at least one navigational constraint augmentation factor; determine, based on the identified navigational state, a navigational action for the host vehicle satisfying the second navigational constraint; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined navigational action.
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公开(公告)号:US10133274B2
公开(公告)日:2018-11-20
申请号:US15273612
申请日:2016-09-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Yoav Taieb
IPC: G05D1/00 , B60W30/14 , B62D15/02 , G01C21/14 , G01C21/32 , G06F17/30 , B60W30/18 , G05D1/02 , G08G1/0967 , G08G1/0962 , G08G1/16 , G01C21/34 , G01C21/36 , G06K9/00 , G01C21/16 , G08G1/01 , G08G1/0968 , G06K9/32 , H04L29/08 , G06T7/00 , G01S19/10
Abstract: Systems and methods are provided for interacting with a plurality of autonomous vehicles. In one implementation, a system may include at least one processor. The at least one processor may be programmed to receive from each of the plurality of autonomous vehicles navigational situation information associated with an occurrence of an adjustment to a determined navigational maneuver, analyze the navigational situation information, determine, based on the analysis of the navigational situation information, whether the adjustment to the determined navigational maneuver was due to a transient condition, and update the predetermined model representative of the at least one road segment if the adjustment to the determined navigational maneuver was not due to a transient condition.
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公开(公告)号:US20180260639A1
公开(公告)日:2018-09-13
申请号:US15457336
申请日:2017-03-13
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: YAIR KAPACH , Yoav Taieb , Yoel Krupnik
CPC classification number: G06K9/00818 , G06K9/00798 , G06K9/00825 , G06K9/6202 , G06K9/6267 , G08G1/09623 , G08G1/166
Abstract: Systems and methods are provided for detecting traffic signs. In one implementation, a traffic sign detection system for a vehicle include at least one image capture device configured to acquire at least one image of a scene including a traffic sign ahead of the vehicle. The traffic sign detection system also includes a data interface and at least one processing device programmed to receive the at least one image via the data interface, transform the at least one image, sample the transformed at least one image to generate a plurality of images having different sizes, convolve each of the plurality of images with a template image, compare each pixel value of each convolved image to a predetermined threshold, and select local maxima of pixel values within local regions of each convolved image as attention candidates, the local maxima being greater than the predetermined threshold.
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