公开(公告)号：US20210072757A1

公开(公告)日：2021-03-11

申请号：US17096279

申请日：2020-11-12

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Dori SHAPIRA ,  Kfir VIENTE ,  Daniel BRAUNSTEIN ,  Bnaya CASPI ,  Iddo HANNIEL

IPC: G05D1/02 ,  G05D1/00 ,  G06K9/00 ,  B60W10/20 ,  B60W30/12

Abstract: A system for mapping a lane mark for use in autonomous vehicle navigation is provided. The system includes at least one processor programmed to receive two or more location identifiers associated with a detected lane mark, associate the detected lane mark with a corresponding road segment, update an autonomous vehicle road navigation model relative to the corresponding road segment based on the two or more location identifiers associated with the detected lane mark, and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

公开(公告)号：US20210025725A1

公开(公告)日：2021-01-28

申请号：US17061476

申请日：2020-10-01

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Daniel BRAUNSTEIN

IPC: G01C21/36 ,  G01C21/00

Abstract: Systems and methods may selectively collect information from a host vehicle. In one example, a method may include causing collection of navigational information associated with an environment traversed by the host vehicle; storing the collected navigational information; determining, based on an output of at least one navigational sensor, a location of the host vehicle; transmitting the determined location of the host vehicle to a server; receiving, from the server and in response to the transmitted determined location, a request for transmission of a selected subset of the navigational information collected by the host vehicle; and transmitting the selected subset of the navigational information to the server.

公开(公告)号：US20170248960A1

公开(公告)日：2017-08-31

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: G05D1/02 ,  G08G1/0967 ,  G01C21/32 ,  G08G1/0962 ,  G01C21/36 ,  G01C21/14

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 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.

公开(公告)号：US20170008521A1

公开(公告)日：2017-01-12

申请号：US15273060

申请日：2016-09-22

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Daniel BRAUNSTEIN ,  Yoram GDALYAHU ,  Sergey RUBINSKY

IPC: B60W30/18 ,  G08G1/0967 ,  G01C21/32 ,  G01C21/14 ,  G05D1/00 ,  G05D1/02

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: Systems and methods may calibrate an indicator of speed of an autonomous vehicle. In one implementation, a system may include at least one processor programmed to: receive from a camera at least a plurality of images representative of an environment of the vehicle; analyze the plurality of images to identify at least two recognized landmarks; determine, based on known locations of the two recognized landmarks, a value indicative of a distance between the at least two recognized landmarks; determine, based on an output of at least one sensor associated with the autonomous vehicle, a measured distance between the at least two landmarks; determine a correction factor for the at least one sensor based on a comparison of the value indicative of the distance between the at least to recognized landmarks and the measured distance between the at least two landmarks.

Abstract translation: 系统和方法可以校准自主车辆的速度指示器。 在一个实现中，系统可以包括至少一个处理器，其被编程为：从相机接收代表车辆环境的至少多个图像; 分析多个图像以识别至少两个识别的地标; 基于所述两个已识别地标的已知位置来确定指示所述至少两个识别的地标之间的距离的值; 基于与所述自主车辆相关联的至少一个传感器的输出，确定所述至少两个地标之间的测量距离; 基于指示所述至少被识别的地标之间的距离的值与所述至少两个地标之间的所测量的距离的比较来确定所述至少一个传感器的校正因子。

公开(公告)号：US20240059316A1

公开(公告)日：2024-02-22

申请号：US18457418

申请日：2023-08-29

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Dori SHAPIRA ,  Kfir VIENTE ,  Daniel BRAUNSTEIN ,  Bnaya CASPI ,  Iddo HANNIEL

IPC: B60W60/00 ,  G01C21/00 ,  B60W10/18 ,  B60W10/20 ,  B60W30/18 ,  G01C21/34 ,  G01C21/36 ,  G08G1/14 ,  G08G1/00 ,  B60T7/12 ,  B62D6/00 ,  G05D1/02 ,  G01C21/30 ,  B60W30/12 ,  G05D1/00 ,  G08G1/01 ,  G08G1/07 ,  G06V20/56 ,  G06V20/58

CPC classification number: B60W60/001 ,  G01C21/3815 ,  G01C21/3885 ,  B60W10/18 ,  B60W10/20 ,  B60W30/18072 ,  G01C21/3407 ,  G01C21/3626 ,  G08G1/143 ,  G08G1/22 ,  B60T7/12 ,  B62D6/001 ,  G05D1/0246 ,  G05D1/0287 ,  G01C21/30 ,  G05D1/0214 ,  G05D1/0221 ,  G05D1/0278 ,  B60W30/18109 ,  B60W30/12 ,  G05D1/0088 ,  G01C21/3691 ,  G08G1/0112 ,  G08G1/07 ,  G06V20/56 ,  G06V20/584 ,  G06V20/588 ,  G01C21/3848 ,  B60W2552/53 ,  G07C5/0808

Abstract: Systems and methods are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.

公开(公告)号：US20220082403A1

公开(公告)日：2022-03-17

申请号：US17294984

申请日：2019-11-26

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Dori SHAPIRA ,  Daniel BRAUNSTEIN ,  Yoram GDALYAHU ,  Kfir VIENTE ,  Maxim SCHWARTZ ,  Eli PEKER ,  David HUBERMAN ,  Moshe LEVIN ,  Jonathan BARLEV ,  Ora ZACKAY ,  Adi HAYAT ,  Andras FERENCZ ,  Dor EAGELBERG

IPC: G01C21/36 ,  G01C21/00 ,  G06V10/762 ,  G06V10/80 ,  G06V20/56

Abstract: Systems and methods are disclosed for mapping lanes for use in vehicle navigation. In one implementation, at least one processing device may be programmed to receive navigational information from a first vehicle and a second vehicle that have navigated along a road segment including a lane split feature; receive at least one image associated with the road segment; determine, from the first navigational information, a first actual trajectory of the first vehicle and a second actual trajectory of the second vehicle; determine a divergence between the first actual trajectory and the second actual trajectory; determine, based on analysis of the at least one image, that the divergence between the first actual trajectory and the second actual trajectory is indicative of the lane split feature; and update a vehicle road navigation model to include a first target trajectory and a second target trajectory that branches from the first target trajectory after the lane split feature.

公开(公告)号：US20210103287A1

公开(公告)日：2021-04-08

申请号：US17126734

申请日：2020-12-18

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Dori SHAPIRA ,  Kfir VIENTE ,  Daniel BRAUNSTEIN ,  Bnaya CASPI ,  Iddo HANNIEL

IPC: G05D1/02 ,  G05D1/00 ,  B60W30/12 ,  B60W10/20 ,  G06K9/00

Abstract: A computing device configured to: obtain images representative of an environment of a host vehicle, the host vehicle traveling on a roadway; detect, from the images, a mark located on the roadway; identify, from the images, points corresponding to the mark on the roadway; identify the mark as a type of roadway marking, corresponding to the identified points, the type of roadway marking selected from multiple types of roadway markings; determine a position of the mark on the roadway relative to the host vehicle, using the identified points corresponding to the mark; and determine a trajectory to navigate the host vehicle on the roadway, based on the position of the mark within the roadway and the type of roadway marking.

公开(公告)号：US20170010618A1

公开(公告)日：2017-01-12

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: G05D1/02 ,  G06F17/30 ,  G08G1/0967 ,  G08G1/0968 ,  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: 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.

Abstract translation: 为自我感知自适应导航提供了系统和方法。 在一个实施方式中，用于车辆的导航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至少部分地基于车辆的运动相对于代表道路段的预定模型的比较来确定车辆的导航机动。 至少一个处理器可以进一步被编程为从相机接收代表车辆环境的至少一个图像。 所述至少一个处理器可进一步被编程为基于所述至少一个图像的分析来确定所述车辆环境中存在导航调节条件，使得所述车辆基于所述导航操作的存在来调整所述导航操作 导航调整条件，以及存储与导航调整条件有关的信息。