Mobileye Vision Technologies Ltd.

Igor Tubis

Amnon Shashua

Gideon Stein

Daniel Braunstein

Eyal Bagon

Yoav Taieb

Anna Clarke

Aran Reisman

Itai Ben Shalom

David Huberman

Dori Shapira

Uri Rokni

Nir Ratner

Shai Shalev-Schwarz

The present disclosure relates to systems and methods for aligning navigation information from a plurality of vehicles. In one implementation, at least one processing device may receive first navigational information from a first vehicle and second navigational information from a second vehicle. The first and second navigational information may be associated with a road segment. The processor may divide the first navigational information into at least a first portion and a second portion; divide the second navigational information into at least a first portion and a second portion; align the first portion of the first navigational information with the first portion of the second navigational information; align the second portion of the first navigational information with the second portion of the second navigational information; generate a road model based on the aligned portions; and send the road model to vehicles for use in navigating along the road segment.

Aligning road information for navigation

A system for navigating an autonomous vehicle along a road segment is disclosed. The system may have at least one processor. The processor may be programmed to receive from an image capture device, images representative of an environment of the autonomous vehicle. The processor may also be programmed to determine a travelled trajectory along the road segment based on analysis of the images. Further, the processor may be programmed to determine a current location of the autonomous vehicle along a predetermined road model trajectory based on analysis of one or more of the plurality of images. The processor may also be programmed to determine a heading direction based on the determined traveled trajectory. In addition, the processor may be programmed to determine a steering direction, relative to the heading direction, by comparing the traveled trajectory to the predetermined road model trajectory at the current location of the autonomous vehicle.

Autonomous vehicle tail alignment navigation

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a lane ending detection system is provided for a vehicle. One or more processing devices associated with the system receive at least one image via a data interface. The device(s) extract lane ending information from the road sign(s) included in the image data and determine, based on at least one indicator of position of the vehicle, a distance from the vehicle to one or more lane constraints associated with the current lane. The processing device(s) determine, based on the lane ending information and the vehicle position, whether a current lane in which the vehicle is traveling is ending. Further, the system may cause the vehicle to change lanes if the lane in which the vehicle is traveling is ending.

Systems and methods for lane end recognition

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Jerusalem, Israel

Igor Tubis