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公开(公告)号:US10012997B2
公开(公告)日:2018-07-03
申请号:US15197112
申请日:2016-06-29
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Itai Ben Shalom , Shai Shalev-Shwartz , Eyal Bagon , Yoav Taieb , Amnon Shashua , David Huberman
IPC: G06T7/00 , G05D1/02 , B60W30/00 , G06K9/00 , B60T7/12 , B62D6/00 , B60W10/20 , B60K31/00 , B60W30/09 , B60W30/14 , G01S19/42 , G05D1/00 , H04N7/18 , G08G1/095 , G06T7/62 , B60W30/12
Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, a traffic light detection system is provided for a vehicle. One or more processing devices associated with the system receive at least one image of an area forward of the vehicle via a data interface, with the area including at least one traffic lamp fixture having at least one traffic light. The processing device(s) determine, based on at least one indicator of vehicle position, whether the vehicle is in a turn lane. Also, the processing device(s) process the received image(s) to determine the status of the traffic light, including whether the traffic light includes an arrow. Further, the system may cause a system response based on the determination of the status of the traffic light, whether the traffic light includes an arrow, and whether the vehicle is in a turn lane.
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公开(公告)号:US20180120859A1
公开(公告)日:2018-05-03
申请号:US15799428
申请日:2017-10-31
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Dor Eagelberg , Gideon Stein , Yoav Taieb , Yoram Gdalyahu , Ofer Fridman
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:US20170336792A1
公开(公告)日:2017-11-23
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
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 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: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:US12146757B2
公开(公告)日:2024-11-19
申请号:US17455545
申请日:2021-11-18
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Yoav Taieb , Yuval Hochman , Chagay Ki-Tov
IPC: B60W60/00 , B60W30/14 , B60W30/18 , B60W40/04 , B60W40/105 , G01C21/36 , G05D1/00 , G06F18/25 , G06V10/80 , G06V20/56 , G06V20/58 , G08G1/01 , H04N23/90
Abstract: Systems and methods are provided for vehicle navigation. The systems and methods may detect traffic lights. For example, one or more traffic lights may be detected using detection-redundant camera detection paths, a fusion of information from a traffic light transmitter and one or more cameras, based on contrast enhancement for night images, and based on low resolution traffic light candidate identification followed by high resolution candidate analysis. Additionally, the systems and methods may navigation based on a worst time to red estimation.
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公开(公告)号:US20210072765A1
公开(公告)日:2021-03-11
申请号:US16939359
申请日:2020-07-27
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Dor Eagelberg , Gideon Stein , Yoav Taieb , Yoram Gdalyahu , Ofer Fridman
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:US10860017B2
公开(公告)日:2020-12-08
申请号:US15673345
申请日:2017-08-09
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Yoav Taieb , Daniel Braunstein
IPC: G01C21/36 , G06K9/00 , 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 , G01C21/16 , G08G1/01 , B60W30/14 , G08G1/0968 , H04L29/08 , G06T7/00 , G01S19/10
Abstract: Systems and methods are provided for determining a lane assignment for an autonomous vehicle along a road segment. In one implementation, at least one image representative of an environment of the vehicle is received from a camera. The at least one image may be analyzed to identify at least one recognized landmark, and an indicator of a lateral offset distance between the vehicle and the at least one recognized landmark may be determined. Moreover, a lane assignment of the vehicle along the road segment may be determined based on the indicator of the lateral offset distance between the vehicle and the at least one recognized landmark.
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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: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:US20170364082A1
公开(公告)日:2017-12-21
申请号:US15673345
申请日:2017-08-09
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Yoav Taieb , 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: Systems and methods are provided for determining a lane assignment for an autonomous vehicle along a road segment. In one implementation, at least one image representative of an environment of the vehicle is received from a camera. The at least one image may be analyzed to identify at least one recognized landmark, and an indicator of a lateral offset distance between the vehicle and the at least one recognized landmark may be determined. Moreover, a lane assignment of the vehicle along the road segment may be determined based on the indicator of the lateral offset distance between the vehicle and the at least one recognized landmark.
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