Mobileye Vision Technologies Ltd.

Dor Eagelberg

Yoram Gdalyahu

Gideon Stein

Yoav Taieb

Ofer Fridman

Andras Ferencz

Daniel Braunstein

Kfir Viente

David Huberman

Maxim Schwartz

Dori Shapira

Ora Zackay

Eli Peker

Moshe Levin

Jonathan Barlev

Adi Hayat

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.

Lane mapping and navigation

Systems and methods for identifying lane marks in an environment of a host vehicle are disclosed. In one implementation, a system includes a processor configured to receive an image acquired by a camera onboard the host vehicle and analyze the image using a trained model. The trained model is configured to identify a plurality of candidate regions, each of the plurality of candidate regions corresponding to a representation of an object in the image; determine a plurality of scores, each of the plurality of scores indicating a degree to which a corresponding one of the plurality of candidate regions corresponds to a representation of a lane marking in the image; analyze the plurality of scores to select one of the plurality of candidate regions; and output an indicator of the selected candidate region.

Identifying lane markings using a trained model

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.

Systems and methods for navigating lane merges and lane splits

Growing community of inventors

Jerusalem, Israel

Dor Eagelberg