Mobileye Vision Technologies Ltd.

Dassault Systemes Solidworks Corporation

Iddo Hanniel

Daniel Braunstein

Kfir Viente

Maoz Madmony

David Huberman

Maxim Schwartz

Dori Shapira

Nimrod Nehushtan

Moshe Shenfeld

Ouriel Barzilay

Eli Peker

Ishay Levi

Yael Hacohen

Achiya Tal Tamir

Ishay Golinsky

Bnaya Caspi

Kirk Haller

Avigdor Eldar

Matan Sulami

Matan Argaman

Jonathan Barlev

Efrat Rosenberg-biton

Ariel Cohen

Systems and methods are provided for autonomous vehicle navigation. The systems and methods may map a lane mark, may map a directional arrow, selectively harvest road information based on data quality, map road segment free spaces, map traffic lights and determine traffic light relevancy, and map traffic lights and associated traffic light cycle times.

Mapping lane marks and navigation based on mapped lane marks

Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive at least one image captured by an image capture device, the at least one image being representative of an enviromnent of the host vehicle; analyze the at least one image to identify an object in the environment of the host vehicle; determine a location of the host vehicle; receive map information associated with the determined location of the host vehicle, wherein the map information includes lane width information associated with a road in the environment of the host vehicle; determine a distance from the host vehicle to the object based on at least the lane width information; and determine a navigational action for the host vehicle based on the determined distance.

Using mapped lane width to determine navigational parameters

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.

A computing device configured to: obtain images representative of an environment of a host vehicle, the host vehicle traveling on a roadway; detect, from the images, a mark located on the roadway; identify, from the images, points corresponding to the mark on the roadway; identify the mark as a type of roadway marking, corresponding to the identified points, the type of roadway marking selected from multiple types of roadway markings; determine a position of the mark on the roadway relative to the host vehicle, using the identified points corresponding to the mark; and determine a trajectory to navigate the host vehicle on the roadway, based on the position of the mark within the roadway and the type of roadway marking.

Systems and methods for navigating a host vehicle. The system may perform operations including receiving, from an image capture device, at least one image representative of an environment of the host vehicle; analyzing the at least one image to identify an object in the environment of the host vehicle; determining a location of the host vehicle; receiving map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle; determining a distance from the host vehicle to the object based on at least the elevation information; and determining a navigational action for the host vehicle based on the determined distance.

Using mapped elevation to determine navigational parameters

A system for navigating a host vehicle may include at least one processing device. The at least one processing device may be programmed to receive, from an image capture device, images representative of an environment of the host vehicle. The at least one processing device may also be programmed to analyze the images to identify features within the environment of the host vehicle. The at least one processing device may also be programmed to: obtain map data corresponding to the environment of the host vehicle, the map data comprising information of the features. The at least one processing device may also be programmed to match the features identified from the images with information of the features within the environment, obtained from the map data; and localize a position of the host vehicle within a roadway using the matched features and elevation information associated with the roadway.

A system for identifying features of a roadway traversed by a host vehicle may include at least one processor programmed to: receive a plurality of images representative of an environment of the host vehicle; recognize in the plurality of images a presence of a road feature associated with the roadway; determine a location of a first point associated with the road feature relative to a curve representative of a path of travel of the host vehicle; determine a location of a second point associated with the road feature relative to the curve; and cause transmission to a server remotely located from the host vehicle of a representation of a series of points associated with locations along the road feature. The second point may be spaced apart from the first point, and the series of points may include at least the first point and the second point.

Systems and methods for compression of lane data

A computer-implemented method and system for rendering a computer-aided design model includes constructing a boundary representation data structure of the model comprising topological data for a face, constructing a data structure representing a parameter space of the face, and decomposing the parameter space into cells, where each cell indicates the presence of the face in the cell. The cells are encoded in a texture construct that is transmitted to a graphics processing unit where further processing renders the face on a computer monitor.

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Modiin, Israel

Iddo Hanniel