Mobileye Vision Technologies Ltd.

Adi Hayat

Yoram Gdalyahu

Daniel Braunstein

Kfir Viente

David Huberman

Maxim Schwartz

Dori Shapira

Andras Ferencz

Dor Eagelberg

Ora Zackay

Eli Peker

Moshe Levin

Jonathan Barlev

Systems and methods are provided for generating a crowd-sourced map for use in vehicle navigation. In one implementation, a system may include at least one processor configured to receive drive information collected from vehicles that traversed a junction; aggregate the received drive information to determine positions of traffic lights and spline representations for drivable paths; input the determined positions and the spline representations to a trained model configured to generate a traffic light relevancy mapping indicating a traffic light relevancy for traffic light to drivable path pairs of the junction; input an observed vehicle behavior to the at least one trained model to generate an updated traffic light relevancy mapping; store in the crowd-sourced map the indicators of traffic light relevancy for the traffic light to drivable path pairs; and transmit the crowd-sourced map to a vehicle for use in navigating the road segment.

Machine learning-based traffic light relevancy mapping

Growing community of inventors

Modiin, Israel

Adi Hayat