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公开(公告)号：US20250067572A1
公开(公告)日：2025-02-27
申请号：US18947717
申请日：2024-11-14
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Yoav Taieb , Raz Cohen Maslaton , Maxim Schwartz , Kfir Viente
IPC: G01C21/00 , B60W10/18 , B60W30/18 , G01C21/36 , G06T7/00 , G06T7/246 , G06T7/32 , G06T7/70 , G06T7/73 , G06V10/46 , G06V20/56 , G06V20/58 , G06V20/64 , G06V40/10
Abstract: A system for correlating information collected from a plurality of vehicles relative to a common road segment is disclosed. The vehicle system includes at least one processor programmed to receive a first set of drive information from a first vehicle including first and second indicators of position associated with detected semantic and non-semantic road features; receive a second set of drive information from a second vehicle including third and fourth indicators of position associated with the detected semantic and non-semantic road features; correlate the first and second sets of drive information by determining a refined position of the detected semantic road feature based on the first and third indicators and a refined position of the detected non-semantic road feature based on the second and forth indicators; store the refined positions of the detected semantic and non-semantic road features in a map; and distribute the map to one or more vehicles.
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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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公开(公告)号：US11953340B2
公开(公告)日：2024-04-09
申请号：US17400252
申请日：2021-08-12
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Yoav Taieb , Itai Ben Shalom
IPC: G01C21/00 , B60W10/18 , B60W30/18 , G01C21/36 , G06T7/00 , G06T7/246 , G06T7/32 , G06T7/70 , G06T7/73 , G06V20/56 , G06V20/58 , G06V20/64 , G06V40/10 , G06V10/46
CPC classification number: G01C21/3807 , B60W10/18 , B60W30/181 , B60W30/18154 , G01C21/3602 , G01C21/3815 , G01C21/3841 , G06T7/246 , G06T7/32 , G06T7/70 , G06T7/73 , G06T7/97 , G06V20/582 , G06V20/584 , G06V20/588 , G06V20/64 , G06V40/103 , B60W2554/802 , B60W2556/40 , B60W2556/50 , G06T2207/30252 , G06T2207/30256 , G06T2207/30261 , G06V10/462 , G06V20/58 , G06V2201/07 , G06V2201/08
Abstract: A navigation system may include a processor programmed to analyze a first image to identify a non-semantic road feature; identify a first image location, in the first image, of one point associated with the non-semantic road feature; analyze a second image to identify a representation of the non-semantic road feature in the second image; identify a second image location, in the second image, of the one point associated with the non-semantic road feature; determine, based on a difference between the first and second image locations and based on motion information for a vehicle between a capture of the first image and a capture of the second image, three-dimensional coordinates for the one point associated with the non-semantic road feature; and send the three-dimensional coordinates for the one point associated with the non-semantic road feature to a server for use in updating a road navigation model.
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公开(公告)号：US20220383545A1
公开(公告)日：2022-12-01
申请号：US17824264
申请日：2022-05-25
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor： Gideon Wachtel , Yoav Taieb , Yahel Guberman , Ofer Fridman , Raz Cohen Maslaton , Moshe Shenfeld , Ori Segel , Ofer Springer
Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.
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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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Patent Agency Ranking
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：US20220282989A1
公开(公告)日：2022-09-08
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
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：US10606278B2
公开(公告)日：2020-03-31
申请号：US16019883
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 , 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：US20190286156A1
公开(公告)日：2019-09-19
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 , 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 relaxation factor; determine a second navigational constraint based on identification of the at least one navigational constraint relaxation 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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