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公开(公告)号:US20210110483A1
公开(公告)日:2021-04-15
申请号:US17132297
申请日:2020-12-23
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Shai Shalev-Shwartz , Amnon Shashua , Shaked Shammah
IPC: G06Q40/08 , B60W10/18 , B60W30/09 , G05D1/00 , G07C5/02 , G07C5/08 , B60W30/095 , G05D1/02 , G08G1/16 , B60W10/04 , B60W10/20 , B60W30/18 , G01C21/36 , G01C21/34 , G06Q10/00
Abstract: A computing device including interface for receiving from a sensor device sensor data representative of an environment surrounding a host vehicle, and a processor configured to obtain a planned driving action for accomplishing a navigational goal of a host vehicle operating in a first lane of a roadway, identify, from the sensor data, a moving target vehicle located in a second lane of the roadway, identify, based on the target vehicle speed and direction, the target vehicle predicted trajectory indicating a cut-in movement of the target vehicle from the second lane to the first lane, identify an intersection of a planned trajectory for the host vehicle with the predicted trajectory for the target vehicle, and determine a safety action of the host vehicle to respond to the movement of the target vehicle; and cause the safety action to be performed in the host vehicle.
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公开(公告)号:US20190286155A1
公开(公告)日:2019-09-19
申请号:US16433926
申请日:2019-06-06
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Gideon Stein , Shai Shalev-Shwartz , Shaked Shammah , Amnon Shashua
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: 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 present navigational state associated with the host vehicle; determine a first potential navigational action for the host vehicle based on the identified present navigational state; determine a first indicator of an expected reward based on the first potential navigational action and the identified present navigational state; predict a first future navigational state based on the first potential navigational action; determine a second indicator of an expected reward associated with at least one future action determined to be available to the host vehicle in response to the first future navigational state; determine a second potential navigational action for the host vehicle based on the identified present navigational state; determine a third indicator of an expected reward based on the second potential navigational action and the identified present navigational state; predict a second future navigational state based on the second potential navigational action; determine a fourth indicator of an expected reward associated with at least one future action determined to be available to the host vehicle in response to the second future navigational state; select the second potential navigational action based on a determination that, while the expected reward associated with the first indicator is greater than the expected reward associated with the third indicator, the expected reward associated with the fourth indicator is greater than the expected reward associated with the first indicator; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the selected second potential navigational action.
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公开(公告)号:US20190283746A1
公开(公告)日:2019-09-19
申请号:US16428810
申请日:2019-05-31
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Shai Shalev-Shwartz , Amnon Shashua , Shaked Shammah
IPC: B60W30/095 , G06K9/00 , B60W30/09 , G05D1/02
Abstract: The present disclosure relates to a navigation system for a host vehicle. The system may include a 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 at least one pedestrian in the environment of the host vehicle; cause at least one adjustment of a navigational system of the host vehicle to signal to the pedestrian a navigational intent of the host vehicle; analyze the plurality of images to detect a potential reaction of the pedestrian to the at least one adjustment of the navigational system of the host vehicle; determine a navigational action for the host vehicle based on a detected potential reaction of the pedestrian; and cause at least one adjustment of a navigational actuator of the host vehicle in response to the determined navigational action for the host vehicle.
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公开(公告)号:US20180376109A1
公开(公告)日:2018-12-27
申请号:US16124367
申请日:2018-09-07
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Gideon Stein , Amnon Shashua
IPC: H04N7/18 , B60W40/076 , G06K9/00 , G06K9/46
Abstract: Various driver assistance systems mountable in a host vehicle and computerized methods for detecting a vertical deviation of a road surface. The driver assistance system includes a camera operatively connectible to a processor. Multiple consecutive image frames are captured from the camera including a first image of the road and a second image of the road. Based on the host vehicle motion, the second image is warped toward the first image to produce thereby a warped second image. Image points of the road in the first image and corresponding image points of the road in the warped second image are tracked. Optical flow is computed between the warped second image to the first image. The optical flow is compared with an optical flow based on a road surface model to produce a residual optical flow. The vertical deviation is computed from the residual optical flow.
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公开(公告)号:US20180307240A1
公开(公告)日:2018-10-25
申请号:US16019825
申请日:2018-06-27
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Shai Shalev-Shwartz , Amnon Shashua , Shaked Shammah
CPC classification number: G05D1/0246 , B60W30/09 , B60W30/0953 , B60W30/0956 , B60W50/0097 , B60W2050/0088 , B60W2420/42 , G01C21/34 , G01C21/3453 , G05D1/0088 , G05D1/0214 , G05D1/0221 , G05D1/0231 , G05D2201/0213 , G06K9/00791 , G06K9/00798 , 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.
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公开(公告)号:US10084992B2
公开(公告)日:2018-09-25
申请号:US15794506
申请日:2017-10-26
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Gideon Stein , Amnon Shashua
IPC: H04N7/18 , G06K9/00 , B60W40/076 , G06K9/46
CPC classification number: H04N7/18 , B60W40/076 , B60W2420/42 , B60W2550/142 , G06K9/00798 , G06K9/46 , G06K2009/4666
Abstract: Various driver assistance systems mountable in a host vehicle and computerized methods for detecting a vertical deviation of a road surface. The driver assistance system includes a camera operatively connectible to a processor. Multiple consecutive image frames are captured from the camera including a first image of the road and a second image of the road. Based on the host vehicle motion, the second image is warped toward the first image to produce thereby a warped second image. Image points of the road in the first image and corresponding image points of the road in the warped second image are tracked. Optical flow is computed between the warped second image to the first image. The optical flow is compared with an optical flow based on a road surface model to produce a residual optical flow. The vertical deviation is computed from the residual optical flow.
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公开(公告)号:US09946260B2
公开(公告)日:2018-04-17
申请号:US15272624
申请日:2016-09-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
IPC: G05D1/00 , G05D1/02 , G01C21/32 , G08G1/0967 , G08G1/0968 , G06F17/30 , B60W30/18 , G01C21/14 , B62D15/02 , G08G1/0962 , G08G1/16 , G01C21/34 , G01C21/36 , G06K9/00 , G01C21/16 , G08G1/01 , B60W30/14 , H04L29/08 , G06T7/00 , G01S19/10
CPC classification number: G05D1/0088 , B60W30/14 , B60W30/18 , B60W2420/42 , B60W2550/22 , B60W2710/18 , B60W2710/20 , B60W2720/10 , B62D15/025 , G01C21/14 , G01C21/165 , G01C21/32 , G01C21/34 , G01C21/3407 , G01C21/3476 , G01C21/36 , G01C21/3602 , G01C21/3623 , G01C21/3644 , G01C21/3691 , G01S19/10 , G05D1/0212 , G05D1/0219 , G05D1/0221 , G05D1/0246 , G05D1/0251 , G05D1/0253 , G05D1/0278 , G05D1/0287 , G05D2201/0213 , G06F17/30241 , G06F17/30377 , G06K9/00791 , G06K9/00798 , G06K9/00818 , G06K9/00825 , G06K9/3258 , G06T7/00 , G06T2207/20081 , G06T2207/30256 , G06T2207/30261 , G08G1/0112 , G08G1/09623 , G08G1/096725 , G08G1/096805 , G08G1/167 , H04L67/12
Abstract: A system for sparse map autonomous navigation of a vehicle along a road segment may include at least one processor. The at least one processor may be programmed to receive a sparse map of the road segment. The sparse map may have a data density of no more than 1 megabyte per kilometer. The at least one processor may be programmed to receive from a camera, at least one image representative of an environment of the vehicle, and determine an autonomous navigational response for the vehicle based on the analysis of the sparse map and the at least one image received from the camera.
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公开(公告)号:US20170336794A1
公开(公告)日:2017-11-23
申请号:US15673343
申请日:2017-08-09
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
IPC: G05D1/00 , B62D15/02 , G01C21/14 , G05D1/02 , G08G1/0967 , G06K9/00 , G08G1/01 , G08G1/16 , G01C21/34
CPC classification number: G05D1/0088 , B60W30/14 , B60W30/18 , B60W2420/42 , B60W2550/22 , B60W2710/18 , B60W2710/20 , B60W2720/10 , B62D15/025 , G01C21/14 , G01C21/165 , G01C21/32 , G01C21/34 , G01C21/3407 , G01C21/3476 , G01C21/36 , G01C21/3602 , G01C21/3623 , G01C21/3644 , G01C21/3691 , G01S19/10 , G05D1/0212 , G05D1/0219 , G05D1/0221 , G05D1/0246 , G05D1/0251 , G05D1/0253 , G05D1/0278 , G05D1/0287 , G05D2201/0213 , G06F16/2379 , G06F16/29 , G06K9/00791 , G06K9/00798 , G06K9/00818 , G06K9/00825 , G06K9/3258 , G06T7/00 , G06T2207/20081 , G06T2207/30256 , G06T2207/30261 , G08G1/0112 , G08G1/09623 , G08G1/096725 , G08G1/096805 , G08G1/167 , H04L67/12
Abstract: Systems and methods navigate a vehicle on a road with snow covering at least some lane markings and road edges. In one implementation, a system may include at least one processor programmed to receive from an image capture device, at least one environmental image forward of the vehicle, including areas where snow covers at least some lane markings and road edges, identify, based on an analysis of the at least one image, at least a portion of the road that is covered with snow and probable locations for road edges bounding the at least a portion of the road that is covered with snow, and cause the vehicle to navigate a navigational path that includes the identified portion of the road and falls within the determined probable locations for the road edges.
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公开(公告)号:US20170336793A1
公开(公告)日:2017-11-23
申请号:US15673334
申请日:2017-08-09
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
CPC classification number: G05D1/0088 , B60W30/14 , B60W30/18 , B60W2420/42 , B60W2550/22 , B60W2710/18 , B60W2710/20 , B60W2720/10 , B62D15/025 , G01C21/14 , G01C21/165 , G01C21/32 , G01C21/34 , G01C21/3407 , G01C21/3476 , G01C21/36 , G01C21/3602 , G01C21/3623 , G01C21/3644 , G01C21/3691 , G01S19/10 , G05D1/0212 , G05D1/0219 , G05D1/0221 , G05D1/0246 , G05D1/0251 , G05D1/0253 , G05D1/0278 , G05D1/0287 , G05D2201/0213 , G06F16/2379 , G06F16/29 , G06K9/00791 , G06K9/00798 , G06K9/00818 , G06K9/00825 , G06K9/3258 , G06T7/00 , G06T2207/20081 , G06T2207/30256 , G06T2207/30261 , G08G1/0112 , G08G1/09623 , G08G1/096725 , G08G1/096805 , G08G1/167 , H04L67/12
Abstract: Systems and methods navigate a vehicle by determining a free space region in which the vehicle can travel. In one implementation, a system may include at least one processor programmed to receive from an image capture device, a plurality of images associated with the environment of a vehicle, analyze at least one of the plurality of images to identify a first free space boundary on a driver side of the vehicle and extending forward of the vehicle, a second free space boundary on a passenger side of the vehicle and extending forward of the vehicle, and a forward free space boundary forward of the vehicle and extending between the first free space boundary and the second free space boundary. The first free space boundary, the second free space boundary, and the forward free space boundary may define a free space region forward of the vehicle. The at least one processor of the system may be further programmed to determine a navigational path for the vehicle through the free space region and cause the vehicle to travel on at least a portion of the determined navigational path within the free space region forward of the vehicle.
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公开(公告)号:US20170243071A1
公开(公告)日:2017-08-24
申请号:US15589063
申请日:2017-05-08
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Gideon Stein , Erez Dagan , Ofer Mano , Amnon Shashua
CPC classification number: G06K9/00805 , B60Q9/008 , B60T7/22 , G06T7/248 , G06T7/337 , G06T7/74 , G06T2207/10004 , G06T2207/30232 , G06T2207/30236 , G06T2207/30241 , G06T2207/30252 , G06T2207/30256 , G08G1/16 , G08G1/161 , G08G1/166
Abstract: A method of estimating a time to collision (TTC) of a vehicle with an object comprising: acquiring a plurality of images of the object; and determining a TTC from the images that is responsive to a relative velocity and relative acceleration between the vehicle and the object.
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