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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: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: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:US20180024568A1
公开(公告)日:2018-01-25
申请号:US15656223
申请日:2017-07-21
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Ofer Fridman
CPC classification number: G05D1/0251 , G01C21/28 , G01C21/32 , G05D1/0088 , G05D1/0221 , G05D1/0231 , G05D1/0246 , G05D1/0274 , G05D1/0278 , G05D2201/0213 , G06K9/00791 , G06K9/00798 , G06T7/11 , G06T7/12 , G06T7/337 , G06T7/37 , G06T7/70 , G06T7/74 , G06T11/60 , G06T2207/10024 , G06T2207/10032 , G06T2207/30256 , G08G1/096708 , G08G1/096725 , H04N5/247 , H04N7/18 , H04N13/239 , H04N2013/0081
Abstract: Systems and methods are provided for crowdsourcing a sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium may include a sparse map for autonomous vehicle navigation along a road segment. The sparse map may include at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature, and wherein the road surface feature is identified through image analysis of a plurality of images acquired as one or more vehicles traverse the road segment and a plurality of landmarks associated with the road segment.
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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:US10962982B2
公开(公告)日:2021-03-30
申请号:US15656380
申请日:2017-07-21
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Ofer Fridman
IPC: G06K9/00 , G05D1/02 , H04N7/18 , G06T7/12 , H04N13/239 , G01C21/28 , G01C21/00 , G06T7/70 , G01C21/32 , G08G1/0967 , H04N5/247 , G06T11/60 , G06T7/73 , G06T7/11 , G06T7/33 , G06T7/37 , H04N13/00 , G05D1/00
Abstract: Systems and methods are provided for crowdsourcing road surface information collection. In one implementation, a method of collecting road surface information for a road segment may include receiving at least one image representative of a portion of the road segment, identifying in the at least one image at least one road surface feature along the portion of the road segment, determining a plurality of locations associated with the road surface feature according to a local coordinate system of the vehicle, and transmitting the determined plurality of locations from the vehicle to a server. The determined locations may be configured to enable determination by the server of a line representation of the road surface feature extending along the road segment.
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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:US20180025235A1
公开(公告)日:2018-01-25
申请号:US15656380
申请日:2017-07-21
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Ofer Fridman
CPC classification number: G05D1/0251 , G01C21/28 , G01C21/32 , G05D1/0088 , G05D1/0221 , G05D1/0231 , G05D1/0246 , G05D1/0274 , G05D1/0278 , G05D2201/0213 , G06K9/00791 , G06K9/00798 , G06T7/11 , G06T7/12 , G06T7/337 , G06T7/37 , G06T7/70 , G06T7/74 , G06T11/60 , G06T2207/10024 , G06T2207/10032 , G06T2207/30256 , G08G1/096708 , G08G1/096725 , H04N5/247 , H04N7/18 , H04N13/239 , H04N2013/0081
Abstract: Systems and methods are provided for crowdsourcing road surface information collection. In one implementation, a method of collecting road surface information for a road segment may include receiving at least one image representative of a portion of the road segment, identifying in the at least one image at least one road surface feature along the portion of the road segment, determining a plurality of locations associated with the road surface feature according to a local coordinate system of the vehicle, and transmitting the determined plurality of locations from the vehicle to a server. The determined locations may be configured to enable determination by the server of a line representation of the road surface feature extending along the road segment.
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公开(公告)号:US20180023960A1
公开(公告)日:2018-01-25
申请号:US15656314
申请日:2017-07-21
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Ofer Fridman
IPC: G01C21/32 , G06K9/00 , G06T11/60 , G05D1/02 , G08G1/0967
CPC classification number: G05D1/0251 , G01C21/28 , G01C21/32 , G05D1/0088 , G05D1/0221 , G05D1/0231 , G05D1/0246 , G05D1/0274 , G05D1/0278 , G05D2201/0213 , G06K9/00791 , G06K9/00798 , G06T7/11 , G06T7/12 , G06T7/337 , G06T7/37 , G06T7/70 , G06T7/74 , G06T11/60 , G06T2207/10024 , G06T2207/10032 , G06T2207/30256 , G08G1/096708 , G08G1/096725 , H04N5/247 , H04N7/18 , H04N13/239 , H04N2013/0081
Abstract: Systems and methods are provided for distributing a crowdsourced sparse map for autonomous vehicle navigation. In one implementation, a method of generating a road navigation model for use in autonomous vehicle navigation may include receiving navigation information associated with a common road segment from a plurality of vehicles; storing the navigation information associated with the common road segment; generating at least a portion of an autonomous vehicle road navigation model for the common road segment based on the navigation information; and distributing the autonomous vehicle road navigation model to one or more autonomous vehicles for use in autonomously navigating along the common road segment. The autonomous vehicle road navigation model may include at least one line representation of a road surface feature extending along the common road segment, and each line representation may representing a path along the common road segment substantially corresponding with the road surface feature.
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公开(公告)号:US20230136710A1
公开(公告)日:2023-05-04
申请号:US17978258
申请日:2022-11-01
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: YAHEL GUBERMAN , Ofer Fridman , Itai Ben Shalom , Ilia Barahovsky , Maxim Schwartz , Yoram Gdalyahu
IPC: G01C21/00 , G06V10/764 , G06V20/60 , G06V20/56
Abstract: Systems and methods for harvesting images for vehicle navigation are disclosed. In one implementation, a system includes a processor configured to receive an image having been captured by a camera of a vehicle from an environment of the vehicle during a first time period; during a second time period after the first time period: use a first object model to identify a representation of a first object in the image and localize the image relative to a map database based on the representation of the first object; and store the image in the map database based on the localization; and during a third time period after the second time period, use a second object model to identify a representation of a second object in the image, wherein the second object model was not available to the system during the second time period.
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