公开(公告)号：US10402665B2

公开(公告)日：2019-09-03

申请号：US15457336

申请日：2017-03-13

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Yair Kapach ,  Yoav Taieb ,  Yoel Krupnik

IPC: G06K9/00 ,  G06K9/62 ,  G08G1/0962 ,  G05D1/02 ,  G08G1/16

Abstract: Systems and methods are provided for detecting traffic signs. In one implementation, a traffic sign detection system for a vehicle include at least one image capture device configured to acquire at least one image of a scene including a traffic sign ahead of the vehicle. The traffic sign detection system also includes a data interface and at least one processing device programmed to receive the at least one image via the data interface, transform the at least one image, sample the transformed at least one image to generate a plurality of images having different sizes, convolve each of the plurality of images with a template image, compare each pixel value of each convolved image to a predetermined threshold, and select local maxima of pixel values within local regions of each convolved image as attention candidates, the local maxima being greater than the predetermined threshold.

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：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.

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.

公开(公告)号：US09619719B2

公开(公告)日：2017-04-11

申请号：US14929758

申请日：2015-11-02

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Yair Kapach ,  Yoav Taieb ,  Yoel Krupnik

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/52 ,  B60R1/00

CPC classification number: G06K9/00818 ,  B60R1/00 ,  G06K9/52 ,  G06K9/6202 ,  G06K9/6215

Abstract: Systems and methods are provided for detecting traffic signs. In one implementation, a traffic sign detection system for a vehicle include at least one image capture device configured to acquire at least one image of a scene including a traffic sign ahead of the vehicle. The traffic sign detection system also includes a data interface and at least one processing device programmed to receive the at least one image via the data interface, transform the at least one image, sample the transformed at least one image to generate a plurality of images having different sizes, convolve each of the plurality of images with a template image, compare each pixel value of each convolved image to a predetermined threshold, and select local maxima of pixel values within local regions of each convolved image as attention candidates, the local maxima being greater than the predetermined threshold.