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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.
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公开(公告)号：US20150354976A1
公开(公告)日：2015-12-10
申请号：US14736057
申请日：2015-06-10
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Andras FERENCZ , Pini REISMAN
CPC classification number: G01C21/3602 , B60W30/12 , G05D1/0251 , G05D1/0253 , G05D2201/0213 , G06K9/00798 , G06K9/3241 , G06K9/6203
Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, top-down refinement in lane marking navigation is provided. The system may include one or more memories storing instructions and one or more processors configured to execute the instructions to cause the system to receive from one or more cameras one or more images of a roadway in a vicinity of a vehicle, the roadway comprising a lane marking comprising a dashed line, update a model of the lane marking based on odometry of the one or more cameras relative to the roadway, refine the updated model of the lane marking based on an appearance of dashes derived from the received one or more images and a spacing between dashes derived from the received one or more images, and cause one or more navigational responses in the vehicle based on the refinement of the updated model.
Abstract translation: 系统和方法使用相机提供自主导航功能。 在一个实现中，提供了车道标记导航的自上而下的细化。 该系统可以包括存储指令的一个或多个存储器和配置成执行指令的一个或多个处理器，以使系统从一个或多个摄像机接收车辆附近的道路的一个或多个图像，该道路包括车道 包括虚线的标记，基于相对于道路的一个或多个照相机的距离计算更新车道标记的模型，基于从所接收的一个或多个图像导出的破折号的外观来细化车道标记的更新模型，以及 从所接收的一个或多个图像导出的虚线之间的间隔，并且基于更新的模型的细化导致车辆中的一个或多个导航响应。
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公开(公告)号：US20240233404A9
公开(公告)日：2024-07-11
申请号：US18491409
申请日：2023-10-20
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Andras FERENCZ
CPC classification number: G06V20/588 , B60W60/0027 , G06V10/82
Abstract: Systems and methods for predicting drivable paths relative to road segments are disclosed. In one implementation, a system includes a processor programmed to access topographical information associated with a road segment; generate a topographical representation of the road segment based on the topographical information; input the topographical representation of the road segment to a trained model, wherein the trained model includes a graph neural network and is configured to predict at least one drivable path relative to the road segment based on the topographical representation of the road segment; receive, from the trained model, information identifying the drivable path; and store the information identifying the drivable path in a map.
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公开(公告)号：US20240135728A1
公开(公告)日：2024-04-25
申请号：US18491409
申请日：2023-10-19
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Andras FERENCZ
CPC classification number: G06V20/588 , B60W60/0027 , G06V10/82
Abstract: Systems and methods for predicting drivable paths relative to road segments are disclosed. In one implementation, a system includes a processor programmed to access topographical information associated with a road segment; generate a topographical representation of the road segment based on the topographical information; input the topographical representation of the road segment to a trained model, wherein the trained model includes a graph neural network and is configured to predict at least one drivable path relative to the road segment based on the topographical representation of the road segment; receive, from the trained model, information identifying the drivable path; and store the information identifying the drivable path in a map.
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