公开(公告)号：US20190291727A1

公开(公告)日：2019-09-26

申请号：US16425647

申请日：2019-05-29

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Shai Shalev-Shwartz ,  Amnon Shashua ,  Shaked Shammah

IPC: B60W30/09 ,  B60W30/095 ,  G08G1/16 ,  G05D1/02

Abstract: A navigation system includes a processing device programmed to receive, from an image capture device, at least one image of an environment of the host vehicle; determine, based on at least one driving policy, a navigational action for accomplishing a navigational goal of the host vehicle; analyze the at least one image to identify a target vehicle; test the navigational action against at least one accident liability rule for determining potential accident liability for the host vehicle relative to the target vehicle; if the test indicates that potential accident liability exists for the host vehicle if the navigational action is taken, then cause the host vehicle not to implement the navigational action; and if the test indicates that no accident liability would result for the host vehicle if the navigational action is taken, then cause the host vehicle to implement the navigational action.

公开(公告)号：US20190286156A1

公开(公告)日：2019-09-19

申请号：US16434050

申请日：2019-06-06

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Shai Shalev-Shwartz ,  Shaked Shammah ,  Amnon Shashua ,  Yoav Taieb ,  Gideon Stein

IPC: G05D1/02 ,  G06N20/00 ,  B60W30/095 ,  B60W50/04 ,  G01C21/36 ,  G06K9/00 ,  G05D1/00 ,  G06N3/00 ,  G01C21/34 ,  B60W30/09 ,  G06N5/04 ,  B60W50/00

Abstract: A navigation system for a host vehicle is provided. The system may comprise at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; determine a first predefined navigational constraint implicated by at least one aspect of the navigational state; identify, based on analysis of the plurality of images, a presence of at least one navigational constraint relaxation factor; determine a second navigational constraint based on identification of the at least one navigational constraint relaxation factor; determine, based on the identified navigational state, a navigational action for the host vehicle satisfying the second navigational constraint; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined navigational action.

公开(公告)号：US20190286154A1

公开(公告)日：2019-09-19

申请号：US16433824

申请日：2019-06-06

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Shai Shalev-Shwartz ,  Amnon Shashua ,  Shaked Shammah

IPC: G05D1/02 ,  G06N20/00 ,  B60W30/095 ,  B60W50/04 ,  G01C21/36 ,  G06K9/00 ,  G05D1/00 ,  G06N3/00 ,  G01C21/34 ,  B60W30/09 ,  G06N5/04 ,  B60W50/00

Abstract: A navigation system for a host vehicle is provided. The system may comprise at least one processing device programmed to receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; determine a first predefined navigational constraint and a second predefined navigational constraint implicated by the navigational state; determine, based on the identified navigational state, a first navigational action for the host vehicle where both the first predefined navigational constraint and the second predefined navigational constraint can be satisfied; determine, based on the identified navigational state, a second navigational action for the host vehicle where the first predefined navigational constraint and the second predefined navigational constraint cannot both be satisfied; and cause at least one adjustment of a navigational actuator of the host vehicle.

公开(公告)号：US10150473B2

公开(公告)日：2018-12-11

申请号：US14828112

申请日：2015-08-17

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Hila Aharony ,  Maria Dyshel ,  Amir Harel ,  Meital Rabani ,  Shaked Shammah ,  Kobi Horn

IPC: A01B69/00 ,  B62D6/00 ,  B62D11/00 ,  B62D12/00 ,  B63G8/20 ,  B63H25/04 ,  G05D1/00 ,  G06F7/00 ,  G06F17/00 ,  G06F19/00 ,  B60W30/095 ,  B60W10/20 ,  B60W10/18 ,  B60W10/04 ,  G06K9/00 ,  G08G1/0962

Abstract: Systems and methods use cameras to provide autonomous and/or driver-assist navigation features. In some implementations, techniques for predicting the location of first roadway lane constraints are provided. The system may receive multiple images of a roadway in a vicinity of a vehicle, recognize a first roadway lane constraint, and, when lane prediction conditions are determined to be satisfied, predict a location of a second roadway lane constraint. In some implementations, techniques for detecting and responding to construction zones are provided. The system may receive multiple images of a roadway in a vicinity of a vehicle, recognize indicators of a construction zone in the images, determine that the vehicle is proximate to a construction zone, and output a signal indicating that the vehicle is proximate to a construction zone.

公开(公告)号：US20180314266A1

公开(公告)日：2018-11-01

申请号：US16019883

申请日：2018-06-27

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Shai Shalev-Shwartz ,  Shaked Shammah ,  Amnon Shashua ,  Yoav Taieb ,  Gideon Stein

IPC: G05D1/02 ,  G05D1/00 ,  G01C21/36 ,  B60W50/04

CPC classification number: G05D1/0246 ,  B60W30/09 ,  B60W30/0953 ,  B60W30/0956 ,  B60W50/0097 ,  B60W2050/0088 ,  B60W2420/42 ,  G01C21/34 ,  G01C21/3453 ,  G05D1/0055 ,  G05D1/0088 ,  G05D1/0214 ,  G05D1/0221 ,  G05D1/0231 ,  G05D1/0253 ,  G05D2201/0213 ,  G06F15/18 ,  G06K9/00791 ,  G06K9/00798 ,  G06K9/00805 ,  G06K9/00825 ,  G06N3/00 ,  G06N5/046 ,  G06N99/005

Abstract: Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to: receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; provide the navigational state to a trained navigational system; receive, from the trained navigational system, a desired navigational action for execution by the host vehicle in response to the identified navigational state; analyze the desired navigational action relative to one or more predefined navigational constraints; determine an actual navigational action for the host vehicle, wherein the actual navigational action includes at least one modification of the desired navigational action determined based on the one or more predefined navigational constraints; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined actual navigational action for the host vehicle.

公开(公告)号：US20180307229A1

公开(公告)日：2018-10-25

申请号：US16021533

申请日：2018-06-28

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Gideon Stein ,  Shai Shalev-Shwartz ,  Shaked Shammah ,  Amnon Shashua

IPC: G05D1/00 ,  G05D1/02 ,  B60W50/00 ,  G06N5/04

Abstract: Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to: receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; provide the navigational state to a trained navigational system; receive, from the trained navigational system, a desired navigational action for execution by the host vehicle in response to the identified navigational state; analyze the desired navigational action relative to one or more predefined navigational constraints; determine an actual navigational action for the host vehicle, wherein the actual navigational action includes at least one modification of the desired navigational action determined based on the one or more predefined navigational constraints; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined actual navigational action for the host vehicle.

公开(公告)号：US09977430B2

公开(公告)日：2018-05-22

申请号：US15702753

申请日：2017-09-12

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Shai Shalev-Shwartz ,  Amnon Shashua ,  Shaked Shammah

IPC: G06N99/00 ,  G05D1/02 ,  G01C21/34 ,  G05D1/00 ,  G06K9/00 ,  B60W30/09

CPC classification number: G05D1/0221 ,  B60W30/09 ,  G01C21/34 ,  G05D1/0088 ,  G05D1/0214 ,  G05D1/0231 ,  G05D1/0246 ,  G05D2201/0213 ,  G06K9/00791 ,  G06K9/00798 ,  G06N3/00 ,  G06N99/005

Abstract: Systems and methods are provided for navigating an autonomous vehicle using reinforcement learning techniques. In one implementation, a navigation system for a host vehicle may include at least one processing device programmed to: receive, from a camera, a plurality of images representative of an environment of the host vehicle; analyze the plurality of images to identify a navigational state associated with the host vehicle; provide the navigational state to a trained navigational system; receive, from the trained navigational system, a desired navigational action for execution by the host vehicle in response to the identified navigational state; analyze the desired navigational action relative to one or more predefined navigational constraints; determine an actual navigational action for the host vehicle, wherein the actual navigational action includes at least one modification of the desired navigational action determined based on the one or more predefined navigational constraints; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined actual navigational action for the host vehicle.