Mobileye Vision Technologies Ltd.

Tomer Baba

Erez Dagan

Amnon Shashua

Jack Kario

David Aloni

Jacob Bentolila

Idan Geller

Yossi Hollander

Yoni Myers

Ofer Finelt

Dmitry Kirzhner

Ariel Benou

Lior Regev

Hananel Byk

Systems and methods are provided for vehicle navigation. In one implementation, a navigation system for a host vehicle may include at least one processor programmed to receive from a camera onboard the host vehicle at least one captured image representative of an environment of the vehicle; detect a pedestrian represented in the at least one captured image; analyze the at least one captured image to determine an indicator of angular rotation and an indicator of pitch angle associated with a head of the pedestrian represented in the at least one captured image; and cause at least one navigational action by the host vehicle based on the indicator of angular rotation and the indicator of pitch angle associated with the head of a pedestrian.

Determination of free space around a vehicle

Systems and methods are disclosed for navigating a host vehicle. In one implementation, at least one processor may be programmed to receive images representative of an environment of the host vehicle; identify an oncoming target vehicle associated with a projected trajectory indicated by an aspect of the oncoming target vehicle in the images; determine that a planned trajectory for the host vehicle crosses the projected trajectory of the oncoming target vehicle and indicates a potential turn-across-path event; determine a remedial action for the host vehicle in response to the oncoming target vehicle and the potential turn-across-path event; implement the remedial action if the oncoming target vehicle is determined to be not approaching a road feature that negates the potential turn-across-path event; and forego the remedial action if the oncoming target vehicle is determined to be approaching a road feature that negates the potential turn-across-path event.

Navigation in vehicle crossing scenarios

Systems and methods are provided for augmenting upright object detection. In one implementation, a system for augmenting detection of objects in an environment of a vehicle may include at least one processing device. The at least one processing device may be programmed to: receive, from an image capture device, a first image frame, the first image frame including an attention area associated with a suspected upright object indication; warp, using a level road plane model, an area in a second earlier image frame that corresponds to the attention area; track a plurality of image patches across the warped area and the attention area; compute a road plane model fit to the tracked image patches; and determine whether to suppress the upright object indication based on the tracked image patches being more consistent with a road plane model than with an upright object model.

Systems and methods for augmenting upright object detection

Systems and methods are provided for detecting an object in front of a vehicle. In one implementation, an object detecting system includes an image capture device configured to acquire a plurality of images of an area, a data interface, and a processing device programmed to compare a first image to a second image to determine displacement vectors between pixels, to search for a region of coherent expansion that is a set of pixels in at least one of the first image and the second image, for which there exists a common focus of expansion and a common scale magnitude such that the set of pixels satisfy a relationship between pixel positions, displacement vectors, the common focus of expansion, and the common scale magnitude, and to identify presence of a substantially upright object based on the set of pixels.

Systems and methods for detecting an object

Systems and methods are disclosed for navigating a host vehicle. In one implementation, at least one processor may be programmed to obtain images representative of an environment of a host vehicle; identify, from the images, a feature of a roadway used to navigate the host vehicle on a path, the identified feature of the roadway having an ambiguity along the path; obtain map data associated with the environment to resolve the ambiguity of the identified feature; and generate a trajectory to navigate the host vehicle on the roadway, using the map data associated with the environment.

Systems and methods for augmentating upright object detection

Systems and methods are provided for detecting an object in front of a vehicle. In one implementation, an object detecting system includes an image capture device configured to acquire a plurality of images of an area, a data interface, and a processing device programmed to compare a first image to a second image to determine displacement vectors between pixels. The processing device is also programmed to search for a region of coherent expansion that is a set of pixels in at least one of the first image and the second image, for which there exists a common focus of expansion and a common scale magnitude such that the set of pixels satisfy a relationship between pixel positions, displacement vectors, the common focus of expansion, and the common scale magnitude. The processing device is further programmed to identify presence of a substantially upright object based on the set of pixels.

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Jerusalem, Israel

Tomer Baba