Mobileye Vision Technologies Ltd.

Anna Clarke

Amnon Shashua

Gideon Stein

Yoav Taieb

Eyal Bagon

David Huberman

Itai Ben Shalom

Gali Nir

Igor Tubis

Shai Shalev-Schwarz

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

Systems and methods for navigating a vehicle among encroaching vehicles

Systems and methods for vehicle braking

A system for a vehicle is provided. The system may include a memory and at least one processor configured to: access a plurality of images of a forward-facing view from the vehicle, the plurality of images corresponding to image data obtained by a camera; determine from the images a first lane marking on a first side of a lane, the lane through which the vehicle can navigate, and a second lane marking on a second side of the lane opposite of the first side; navigate the vehicle autonomously relatively centered between the first and second lane markings; determine from the plurality of images that an object is on the first side or the second side of the lane, and the object beyond the first or second lane marking; and navigate the vehicle autonomously to travel over a driving path that is offset from a center of the lane.

Systems and methods for vehicle offset navigation

An autonomous vehicle control system is provided. The control system may include a plurality of cameras to acquire a plurality of images of an area in a vicinity of a vehicle; and at least one processing device configured to: recognize a curve to be navigated based on map data and vehicle position information; determine an initial target velocity for the vehicle based on at least one characteristic of the curve as reflected in the map data; adjust a velocity of the vehicle to the initial target velocity; determine, based on the plurality of images, observed characteristics of the curve; determine an updated target velocity based on the observed characteristics of the curve; and adjust the velocity of the vehicle to the updated target velocity.

Image-based velocity control for a turning vehicle

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a primary vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: locate in the plurality of images a leading vehicle; determine, based on the plurality of images, at least one action taken by the leading vehicle; and cause the primary vehicle to mimic the at least one action of the leading vehicle.

Systems and methods for mimicking a leading vehicle

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system is provided for a vehicle. The system may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the vehicle; a data interface; and at least one processing device. The at least one processing device may be configured to: receive the plurality of images via the data interface; determine from the plurality of images a current lane of travel from among a plurality of available travel lanes; and cause the vehicle to change lanes if the current lane of travel is not the same as a predetermined default travel lane.

Systems and methods for navigating a vehicle to a default lane

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; determining, based on the plurality of images, whether an encroaching vehicle is approaching from a side of the user vehicle; and causing the user vehicle to maintain a current velocity and to travel within the first and second lane constraints such that a first distance, on the side of the user vehicle that the encroaching vehicle is approaching from, is greater than a second distance.

Systems and methods for detecting and responding to traffic laterally encroaching upon a vehicle

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a driver assist navigation system for a primary vehicle may include at least one image capture device configured to acquire a plurality of images of an area in a vicinity of the primary vehicle; a data interface; and at least one processing device. The at least processing device may be configured to: receive the plurality of images via the data interface; identify a target object within the plurality of images; monitor, via the plurality of images, a motion of the target object and a distance between the primary vehicle and the target object; determine an indicator of an intercept time between the primary vehicle and the target object based on the monitored motion and the distance between the primary vehicle and the target object; and cause a response in the primary vehicle based on a comparison of the intercept time to a plurality of predetermined intercept thresholds.

Multi-threshold reaction zone for autonomous vehicle navigation

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method is provided for navigating a vehicle. The method may include acquiring, using at least one image capture device, a plurality of images of an area in the vicinity of the vehicle; and determining from the plurality of images a first lane constraint on a first side of the vehicle and a second lane constraint on a second side of the vehicle opposite to the first side of the vehicle. The method may further include causing the vehicle to travel within the first and second lane constraints based on the area in the vicinity of the vehicle.

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.

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Har Adar, Israel

Anna Clarke