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公开(公告)号：US10317903B2
公开(公告)日：2019-06-11
申请号：US15586243
申请日：2017-05-03
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
IPC: G05D1/00 , G06F16/29 , G06F16/23 , G01C21/32 , 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 , G06K9/32 , H04L29/08 , G06T7/00 , G01S19/10
Abstract: A non-transitory computer-readable medium is provided. The computer-readable medium includes a sparse map for autonomous vehicle navigation along a road segment. The sparse map includes a polynomial representation of a target trajectory for the autonomous vehicle along the road segment, and a plurality of predetermined landmarks associated with the road segment. The plurality of predetermined landmarks are spaced apart by at least 50 meters, and the sparse map has a data density of no more than 1 megabyte per kilometer.
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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：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：US20240345593A1
公开(公告)日：2024-10-17
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
CPC classification number: G05D1/43 , B60W30/09 , G01C21/34 , G05D1/249 , G05D1/81 , G06V20/58 , G06V20/588 , 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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Patent Agency Ranking
公开(公告)号：US11972022B2
公开(公告)日：2024-04-30
申请号：US17522512
申请日：2021-11-09
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Kfir Viente , Eli Harel , Achiya Tal Tamir , Maxim Schwartz , Dori Shapira , Nimrod Nehushtan , Yoram Gdalyahu , Daniel Braunstein
IPC: G06F21/62 , G01C21/36 , G05D1/00 , G05D1/02 , G06K9/00 , G06V20/56 , G06V20/58 , H04W4/02 , H04W4/44
CPC classification number: G06F21/6254 , G01C21/3602 , G05D1/0088 , G05D1/0212 , G05D1/0253 , G06V20/582 , G06V20/588 , H04W4/027 , H04W4/44
Abstract: Systems and methods are provided for collecting anonymized drive information. A processing device may be configured to receive outputs from one or more sensors; determine at least one motion representation for the host vehicle based on the outputs; receive at least one image representative of an environment of the host vehicle; analyze the at least one image to determine at least one road characteristic associated with a road section; assemble first road segment information relative to a first portion of the road section, wherein the first portion of the road section is separated from a starting point associated with a route traveled by the host vehicle; assemble second road segment information relative to a second portion of the road section; and cause transmission of the first road segment information and the second road segment information to a server for assembly of an autonomous vehicle road navigation model.
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公开(公告)号：US20220283591A1
公开(公告)日：2022-09-08
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
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：US10739782B2
公开(公告)日：2020-08-11
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：US10025998B1
公开(公告)日：2018-07-17
申请号：US14858798
申请日：2015-09-18
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Yoram Gdalyahu , Harel Livyatan , Oded Schwarz , Yoav Taieb , Gideon P. Stein , Kfir Viente
Abstract: Classification of an object in the field of view of a camera. A processor is configured to capture multiple image frames from the camera. A candidate image is detected in the image frames. Alignment of the candidate image is determined relative to at least one previously known training image by inputting the candidate image into a trained alignment classifier and outputting one or more alignment variables therefrom associated with the candidate image. The candidate image and the alignment variable(s) are input into a trained object classifier. The object is classified responsive to the alignment variable(s).
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公开(公告)号：US09946260B2
公开(公告)日：2018-04-17
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: G05D1/00 , G05D1/02 , G01C21/32 , G08G1/0967 , G08G1/0968 , G06F17/30 , B60W30/18 , G01C21/14 , B62D15/02 , G08G1/0962 , G08G1/16 , G01C21/34 , G01C21/36 , G06K9/00 , G01C21/16 , G08G1/01 , B60W30/14 , 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 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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