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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
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: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
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.
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公开(公告)号:US09857800B2
公开(公告)日:2018-01-02
申请号:US15176813
申请日:2016-06-08
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Itai Ben Shalom , Shai Shalev-Shwartz , Eyal Bagon , Yoav Taieb , Amnon Shashua
IPC: G06T7/00 , G05D1/02 , B60W30/00 , G06K9/00 , B60T7/12 , B62D6/00 , B60W10/20 , B60K31/00 , B60W30/09 , B60W30/14 , G01S19/42 , G05D1/00 , H04N7/18 , G08G1/095 , G06T7/62 , B60W30/12
CPC classification number: G05D1/0276 , B60K31/00 , B60T7/12 , B60W10/20 , B60W30/00 , B60W30/09 , B60W30/12 , B60W30/14 , B60W30/18163 , B60W2420/42 , B60W2550/10 , B60W2550/142 , B60W2550/146 , B60W2550/22 , B60W2550/30 , B60W2550/306 , B60W2710/207 , B62D6/00 , G01S19/42 , G05D1/0088 , G05D1/0246 , G06K9/00798 , G06K9/00805 , G06K9/00825 , G06T7/62 , G06T2207/30256 , G06T2207/30261 , G08G1/095 , H04N7/181 , H04N7/183
Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, a traffic light detection system is provided for a vehicle. One or more processing devices associated with the system receive at least one image of an area forward of the vehicle via a data interface, with the area including at least one traffic lamp fixture having at least one traffic light. The processing device(s) determine, based on at least one indicator of vehicle position, whether the vehicle is in a turn lane. Also, the processing device(s) process the received image(s) to determine the status of the traffic light, including whether the traffic light includes an arrow. Further, the system may cause a system response based on the determination of the status of the traffic light, whether the traffic light includes an arrow, and whether the vehicle is in a turn lane.
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公开(公告)号:US09760090B2
公开(公告)日:2017-09-12
申请号:US15272802
申请日:2016-09-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
IPC: G01C22/00 , G05D1/00 , G01C21/32 , G06F17/30 , B60W30/18 , G01C21/14 , G05D1/02 , G08G1/0967 , B62D15/02 , G08G1/0962 , G08G1/16 , G01C21/34 , G01C21/36 , G06K9/00 , G01C21/16 , G08G1/01 , B60W30/14 , G08G1/0968 , 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 method of processing vehicle navigation information for use in autonomous vehicle navigation is provided. The method includes receiving, by a server, navigation information from a plurality of vehicles. The navigation information from the plurality of vehicles is associated with a common road segment. The method also includes storing, by the server, the navigation information associated with the common road segment. The method also includes generating, by the server, at least a portion of an autonomous vehicle road navigation model for the common road segment based on the navigation information from the plurality of vehicles. The method further includes distributing, by the server, the autonomous vehicle road navigation model to one or more autonomous vehicles for use in autonomously navigating the one or more autonomous vehicles along the common road segment.
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公开(公告)号:US09709986B2
公开(公告)日:2017-07-18
申请号:US15272789
申请日:2016-09-22
Applicant: MOBILEYE VISION TECHNOLOGIES LTD.
Inventor: Yoram Gdalyahu , Amnon Shashua , Yoav Taieb , Daniel Braunstein , David Huberman , Levi Bellaiche
IPC: G01C22/00 , G05D1/00 , G01C21/32 , G06F17/30 , B60W30/18 , G01C21/14 , G05D1/02 , G08G1/0967 , B62D15/02 , G08G1/0962 , G08G1/16 , G01C21/34 , G01C21/36 , G06K9/00 , G01C21/16 , G08G1/01 , B60W30/14 , G08G1/0968 , 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 autonomously navigating a vehicle along a road segment may be based on a predetermined landmark location. The system may include at least one processor programmed to receive from a camera, at least one image representative of an environment of the vehicle, and determine a position of the vehicle along a predetermined road model trajectory associated with the road segment based, at least in part, on information associated with the at least one image. The at least one processor may be further programmed to identify a recognized landmark forward of the vehicle based on the determined position, wherein the recognized landmark is beyond a sight range of the camera, and determine a current distance between the vehicle and the recognized landmark by comparing the determined position of the vehicle with a predetermined position of the recognized landmark. The at least one processor may also be programmed to determine an autonomous navigational response for the vehicle based on the determined current distance.
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公开(公告)号:US09623905B2
公开(公告)日:2017-04-18
申请号:US15273030
申请日:2016-09-22
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 , 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 autonomously navigating a vehicle along a road segment is disclosed. The system may have at least one processor. The processor may be programmed to receive from an image capture device at least one image representative of an environment of the vehicle. The processor may also be programmed to analyze the at least one image to identify at least one recognized landmark. Further, the processor may be programmed to determine a current location of the vehicle relative to a predetermined road model trajectory associated with the road segment based, at least in part, on a predetermined location of the recognized landmark. In addition, the processor may be programmed to determine an autonomous steering action for the vehicle based on a direction of the predetermined road model trajectory at the determined current location of the vehicle relative to the predetermined road model trajectory.
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公开(公告)号:US09256791B2
公开(公告)日:2016-02-09
申请号:US14554500
申请日:2014-11-26
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Gideon Stein , Amnon Shashua
CPC classification number: G06K9/00798 , G06T7/344 , G06T2207/10004 , G06T2207/30256 , H04N7/183
Abstract: A driver assistance/control system includes a camera operatively connectable to a processor mountable in a host vehicle. A vertical deviation in road contour is detected while the host vehicle is moving. First, second and third images of the road are captured from the camera. By matching image points of the road in the first image and corresponding image points of the road in the second image, a first homography is computed which transforms the first image of the road to the second image of the road. A second homography is computed which transforms the second image of the road to the third image of the road. A chained homography is computed by chaining the first and second homographies. By using the chained homography as an initial guess, a third homography is computed which transforms the first image of the road to the third image of the road.
Abstract translation: 驾驶员辅助/控制系统包括可操作地连接到可安装在主车辆中的处理器的照相机。 当主车辆移动时,检测道路轮廓的垂直偏差。 首先,从摄像机捕获道路的第二和第三图像。 通过将第一图像中的道路的图像点和第二图像中的道路的对应图像点匹配,计算将道路的第一图像变换到道路的第二图像的第一单应性。 计算将第二道路图像变换到道路的第三图像的第二单应性。 通过链接第一和第二同形异义来计算链接的单色。 通过使用链式单应性作为初始猜测,计算出将道路的第一图像变换到道路的第三图像的第三单应性。
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公开(公告)号:US20240359710A1
公开(公告)日:2024-10-31
申请号:US18405327
申请日:2024-01-05
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Shai Shalev-Shwartz , Shaked Shammah , Amnon Shashua
CPC classification number: B60W60/00276 , B60W30/0956 , B60W60/00274 , G01C21/3602 , G05D1/247 , G05D1/248 , G05D1/249 , G06V10/84 , G06V20/56 , B60W2420/403 , B60W2420/408 , B60W2552/53 , B60W2554/00 , B60W2554/20 , B60W2554/4029 , B60W2554/4041 , B60W2554/4045 , B60W2554/60 , B60W2554/802 , B60W2554/804 , B60W2556/50
Abstract: The present disclosure relates to navigational systems for vehicles. In one implementation, such a navigational system may a first output from a first sensor and a second output from a mapping system; identify a target object in the first output; and determine, based on the first output, a detected driving condition associated with the target object and whether the condition triggers a navigational constraint. If the navigational constraint is triggered, the system may cause a first navigational adjustment. If the navigational constraint is not triggered, the system may determine whether a representation of the target object is included in the second output. If the representation of the target object is included in the second output, the system may cause a second navigational adjustment. If the representation of the target object is not included in the second output, the system may forego any navigational adjustments.
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公开(公告)号:US20240255291A1
公开(公告)日:2024-08-01
申请号:US18626701
申请日:2024-04-04
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Amnon Shashua , Yoram Gdalyahu , Ofer Springer , Aran Reisman , Daniel Braunstein
IPC: G01C21/32 , B60W30/14 , B60W30/18 , B60W60/00 , B62D15/02 , G01C21/00 , G01C21/14 , G01C21/16 , G01C21/34 , G01C21/36 , G01S19/10 , G06F16/23 , G06F16/29 , G06T7/00 , G06V20/56 , G06V20/58 , G06V20/62 , G08G1/01 , G08G1/0962 , G08G1/0967 , G08G1/0968 , G08G1/16 , H04L67/12
CPC classification number: G01C21/32 , B60W30/14 , B60W30/18 , B60W60/00274 , B62D15/025 , G01C21/14 , G01C21/1652 , G01C21/1656 , G01C21/34 , G01C21/3407 , G01C21/3476 , G01C21/36 , G01C21/3602 , G01C21/3623 , G01C21/3644 , G01C21/3691 , G01C21/3896 , G06F16/2379 , G06F16/29 , G06V20/56 , G06V20/582 , G06V20/584 , G06V20/588 , G06V20/63 , G08G1/0112 , G08G1/09623 , G08G1/096725 , G08G1/096805 , G08G1/167 , B60W2420/403 , B60W2420/408 , B60W2552/53 , B60W2555/60 , B60W2556/35 , B60W2710/18 , B60W2710/20 , B60W2720/10 , G01C21/3811 , G01C21/3819 , G01C21/3822 , G01S19/10 , G06T7/00 , G06T2207/20081 , G06T2207/30256 , G06T2207/30261 , H04L67/12
Abstract: A non-transitory computer-readable medium is provided. The computer-readable medium includes a sparse map for autonomous vehicle navigation along a road segment. The sparse map includes a polynomial representation of a target trajectory for the autonomous vehicle along the road segment, and a plurality of predetermined landmarks associated with the road segment. The sparse map has a data density of no more than 1 megabyte per kilometer.
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公开(公告)号:US12037019B2
公开(公告)日:2024-07-16
申请号:US17174937
申请日:2021-02-12
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Shai Shalev-Shwartz , Shaked Shammah , Amnon Shashua , Barak Cohen , Zeev Adelman
IPC: B60W60/00 , B60W30/09 , B60W30/095 , B60W30/18 , B60W40/02 , B60W40/105 , B60W40/107 , G05D1/00 , G05D1/247 , G05D1/249 , G05D1/617 , G06T7/20 , G06T7/70 , G06V20/58 , G06V40/10
CPC classification number: B60W60/0016 , B60W30/09 , B60W30/0953 , B60W30/0956 , B60W30/181 , B60W30/18163 , B60W40/02 , B60W40/105 , B60W40/107 , B60W60/0015 , G05D1/0214 , G05D1/0231 , G05D1/0246 , G05D1/247 , G05D1/249 , G05D1/617 , G06T7/20 , G06T7/70 , G06V20/58 , G06V20/584 , G06V40/10 , B60W2420/403 , B60W2420/408 , B60W2510/18 , B60W2520/105 , B60W2520/12 , B60W2520/125 , B60W2520/14 , B60W2530/201 , B60W2552/45 , B60W2554/4029 , B60W2554/4041 , B60W2554/4042 , B60W2554/4043 , B60W2554/4044 , B60W2554/80 , B60W2554/801 , B60W2555/60 , B60W2720/10 , G06T2207/30196 , G06T2207/30261 , G06V2201/07
Abstract: Systems and methods are provided for navigating a host vehicle. A processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.
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