Mobileye Vision Technologies Ltd.

Eli Peker

Yoram Gdalyahu

Daniel Braunstein

Kfir Viente

Maoz Madmony

David Huberman

Maxim Schwartz

Iddo Hanniel

Andras Ferencz

Dori Shapira

Dor Eagelberg

Nimrod Nehushtan

Ouriel Barzilay

Ora Zackay

Bnaya Caspi

Ishay Levi

Achiya Tal Tamir

Avigdor Eldar

Matan Sulami

Jonathan Barlev

Adi Hayat

Matan Argaman

Moshe Levin

Efrat Rosenberg-biton

Ariel Cohen

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.

Navigation and mapping based on detected arrow orientation

A system for vehicle navigation is provided. The system includes at least one processing circuitry programmed to receive via a data interface one or more images captured by one or more cameras representative of an environment of a vehicle, identify, based on analysis of the one or more images, at least one direction of at least one directional arrow on a road surface in the one or more images, determine a direction of travel for the vehicle based on the at least one direction of the at least one directional arrow on the road surface, determine at least one navigational action for the vehicle based on the determined direction of travel for the vehicle, and cause one or more actuator systems of the vehicle to implement the determined at least one navigational action for the vehicle.

A system for mapping traffic lights and for determining traffic light relevancy for use in autonomous vehicle navigation. The system may include at least one processor programmed to: receive at least one location identifier associated with a traffic light; receive a state identifier associated with the traffic light; receive navigational information indicative of one or more aspects of motion of the first vehicle along the road segment, and determine, based on the navigational information, a lane of travel traversed by the first vehicle along the road segment. The processor may also determine whether the traffic light is relevant to the lane of travel traversed by the first vehicle; update an autonomous vehicle road navigation model relative to the road segment; and distribute the updated autonomous vehicle road navigation model to a plurality of autonomous vehicles.

Relevant traffic light mapping and navigation

Growing community of inventors

Jerusalem, Israel

Eli Peker