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公开(公告)号：US20190295179A1
公开(公告)日：2019-09-26
申请号：US16425530
申请日：2019-05-29
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Shai Shalev-Shwartz , Amnon Shashua , Shaked Shammah
Abstract: An accident liability tracking system includes a processing device programmed to receive, from an image capture device, an image representative of an environment of the host vehicle, to analyze the image to identify a target vehicle in the environment of the host vehicle, and determine one or more characteristics of a navigational state of the target vehicle. The device is further programmed to compare the characteristics of the navigational state of the target vehicle to at least one accident liability rule, store one or more values indicative of potential accident liability on the part of the identified target vehicle based on the comparison of the characteristics of the navigational state of the identified target vehicle to the at least one accident liability rule, and output the one or more values, after an accident between the host vehicle and a target vehicle, for determining liability for the accident.
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公开(公告)号：US20190286157A1
公开(公告)日：2019-09-19
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 , B60W30/095 , B60W50/04 , G01C21/36 , G06K9/00 , G05D1/00 , G06N3/00 , G01C21/34 , B60W30/09 , G06N5/04 , B60W50/00
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：US10198001B2
公开(公告)日：2019-02-05
申请号：US15273581
申请日：2016-09-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
IPC: G05D1/00 , G01C21/32 , G06F17/30 , 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 , G06K9/32 , H04L29/08 , G06T7/00 , G01S19/10
Abstract: Systems and methods are provided for self-aware adaptive navigation. In one implementation, a navigation system for a vehicle may include at least one processor. The at least one processor may be programmed to determine a navigational maneuver for the vehicle based, at least in part, on a comparison of a motion of the vehicle with respect to a predetermined model representative of a road segment. The at least one processor may be further programmed to receive, from a camera, at least one image representative of an environment of the vehicle. The at least one processor may be further programmed to determine, based on analysis of the at least one image, an existence in the environment of the vehicle of an navigational adjustment condition, cause the vehicle to adjust the navigational maneuver based on the existence of the navigational adjustment condition, and store information relating to the navigational adjustment condition.
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公开(公告)号：US20180307239A1
公开(公告)日：2018-10-25
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
CPC classification number: G05D1/0246 , B60W30/09 , B60W30/0953 , B60W30/0956 , B60W50/0097 , B60W2050/0088 , B60W2420/42 , G01C21/34 , G01C21/3453 , G05D1/0088 , G05D1/0214 , G05D1/0221 , G05D1/0231 , G05D2201/0213 , G06K9/00791 , G06K9/00798 , G06K9/00825 , G06N3/00 , G06N5/046 , G06N99/005
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：US10082798B2
公开(公告)日：2018-09-25
申请号：US15673331
申请日：2017-08-09
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
IPC: G01C21/32 , G06F17/30 , G05D1/02 , G05D1/00 , G01C21/34 , G01C21/36 , G06K9/00 , G08G1/01 , G08G1/0967
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 , G06F16/2379 , G06F16/29 , 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 may include at least one processor. The processor may be programmed to receive a first navigational map associated with a first road segment and a second navigational map, different from the first navigational map, associated with a second road segment. The first road segment and the second road segment may overlap one another at an overlap segment. The processor may be programmed to determine at least a first autonomous navigational response for the vehicle along the first road segment based on analysis of the first navigational map; at least a second autonomous navigational response for the vehicle along the second road segment based on analysis of the second navigational map; and at least a third autonomous navigational response for the vehicle in the overlap segment based on at least one of the first navigational map and the second navigational map.
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Patent Agency Ranking
公开(公告)号：US20180217600A1
公开(公告)日：2018-08-02
申请号：US15936594
申请日：2018-03-27
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
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 , G06F16/2379 , G06F16/29 , 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 sparse map autonomous navigation of a vehicle along a road segment may include at least one processor. The at least one processor may be programmed to receive a sparse map of the road segment. The sparse map may have a data density of no more than 1 megabyte per kilometer. The at least one processor may be programmed to receive from a camera, at least one image representative of an environment of the vehicle, and determine an autonomous navigational response for the vehicle based on the analysis of the sparse map and the at least one image received from the camera.
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公开(公告)号：US09939813B2
公开(公告)日：2018-04-10
申请号：US15273190
申请日：2016-09-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Amnon Shashua , Yoram Gdalyahu , Daniel Braunstein
IPC: G01C21/36 , G05D1/00 , G01C21/32 , G06F17/30 , B60W30/18 , G01C21/14 , G05D1/02 , G08G1/0967 , B62D15/02 , G08G1/0962 , G08G1/16 , G01C21/34 , 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 is provided for determining a location of a landmark for use in navigation of an autonomous vehicle. The system includes a processor programmed to receive a measured position of the landmark. The processor is also programmed to determine a refined position of the landmark based on the measured position of the landmark and at least one previously acquired position for the landmark. The measured position and the previously acquired position are determined based on acquisition of an environmental image associated with the host vehicle, analysis of the environmental image to identify the landmark, reception of global positioning system (GPS) data representing a location of the host vehicle, analysis of the environmental image to determine a relative position of the identified landmark with respect to the host vehicle, and determination of a globally localized position of the landmark based on the GPS data and the relative position.
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公开(公告)号：US09916510B2
公开(公告)日：2018-03-13
申请号：US15589063
申请日：2017-05-08
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：US20170336801A1
公开(公告)日：2017-11-23
申请号：US15673331
申请日：2017-08-09
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
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 may include at least one processor. The processor may be programmed to receive a first navigational map associated with a first road segment and a second navigational map, different from the first navigational map, associated with a second road segment. The first road segment and the second road segment may overlap one another at an overlap segment. The processor may be programmed to determine at least a first autonomous navigational response for the vehicle along the first road segment based on analysis of the first navigational map; at least a second autonomous navigational response for the vehicle along the second road segment based on analysis of the second navigational map; and at least a third autonomous navigational response for the vehicle in the overlap segment based on at least one of the first navigational map and the second navigational map.
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公开(公告)号：US20170010617A1
公开(公告)日：2017-01-12
申请号：US15272624
申请日：2016-09-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
IPC: G05D1/02 , G08G1/0968 , G08G1/0967 , G05D1/00 , G01C21/32
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 sparse map autonomous navigation of a vehicle along a road segment may include at least one processor. The at least one processor may be programmed to receive a sparse map of the road segment. The sparse map may have a data density of no more than 1 megabyte per kilometer. The at least one processor may be programmed to receive from a camera, at least one image representative of an environment of the vehicle, and determine an autonomous navigational response for the vehicle based on the analysis of the sparse map and the at least one image received from the camera.
Abstract translation: 用于车辆沿着路段的稀疏地图自主导航的系统可以包括至少一个处理器。 至少一个处理器可以被编程为接收道路段的稀疏映射。 稀疏地图可能具有每公里不超过1兆字节的数据密度。 至少一个处理器可以被编程为从摄像机接收代表车辆环境的至少一个图像，并且基于对所接收到的稀疏映射和所述至少一个图像的分析来确定车辆的自主导航响应 从相机。
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