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    Predicting and responding to cut in vehicles and altruistic responses
    111.
    发明授权
    Predicting and responding to cut in vehicles and altruistic responses 有权

    公开(公告)号：US10209712B2

    公开(公告)日：2019-02-19

    申请号：US15360277

    申请日：2016-11-23

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Gideon Stein

    IPC: G05D1/00 ,  G05D1/02 ,  B60W30/16 ,  G06K9/00 ,  G08G1/16 ,  G08G1/0962

    Abstract: Systems and methods are provided for detecting and responding to cut in vehicles, and for navigating while taking into consideration an altruistic behavior parameter. In one implementation, a navigation system for a host vehicle may include a data interface and at least one processing device. The at least one processing device may be programmed to receive, via the data interface, a plurality of images from at least one image capture device associated with the host vehicle; identify, based on analysis of the plurality of images, at least one target vehicle in an environment of the host vehicle; determine, based on analysis of the plurality of images, one or more situational characteristics associated with the target vehicle; determine a current value associated with an altruistic behavior parameter; and determine based on the one or more situational characteristics associated with the target vehicle that no change in a navigation state of the host vehicle is required, but cause at least one navigational change in the host vehicle based on the current value associated with the altruistic behavior parameter and based on the one or more situational characteristics associated with the target vehicle.

    Building night vision and other driver assistance systems (DAS) using near infra-red (NIR) illumination and a rolling shutter
    113.
    发明授权
    Building night vision and other driver assistance systems (DAS) using near infra-red (NIR) illumination and a rolling shutter 有权

    公开(公告)号：US10129465B2

    公开(公告)日：2018-11-13

    申请号：US15787480

    申请日：2017-10-18

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Gideon Stein ,  Efim Belman

    IPC: H04N5/00 ,  H04N5/232 ,  H04N5/353 ,  H04N5/235 ,  H04N5/225 ,  B60R1/00 ,  H04N5/33

    Abstract: A system mountable in a motor vehicle. The system includes a camera and a processor configured to receive image data from the camera. The camera includes a rolling shutter configured to capture the image data during a frame period and to scan and to read the image data into multiple image frames. A near infra-red illuminator may be configured to provide a near infra-red illumination cone in the field of view of the camera. The near infra-red illumination oscillates with an illumination period. A synchronization mechanism may be configured to synchronize the illumination period to the frame period of the rolling shutter. The frame period may be selected so that the synchronization mechanism provides a spatial profile of the near infra-red illumination cone which may be substantially aligned vertically to a specific region, e.g. near the center of the image frame.

    Safety system for a vehicle to detect and warn of a potential collision
    114.
    发明授权
    Safety system for a vehicle to detect and warn of a potential collision 有权

    公开(公告)号：US10127464B2

    公开(公告)日：2018-11-13

    申请号：US15158294

    申请日：2016-05-18

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Yaniv Elimalech ,  Gideon Stein

    IPC: G06K9/00 ,  G08G1/16 ,  B60Q9/00 ,  B60R1/00 ,  G06K9/32 ,  H04N5/232 ,  H04N7/18

    Abstract: A system mountable in a vehicle to provide object detection in the vicinity of the vehicle. The system includes a camera operatively attached to a processor. The camera is mounted externally at the rear of the vehicle. The field of view of the camera is substantially in the forward direction of travel of the vehicle along the side of the vehicle. Multiple image frames are captured from the camera. Yaw of the vehicle may be input or the yaw may be computed from the image frames. Respective portions of the image frames are selected responsive to the yaw of the vehicle. The image frames are processed to detect thereby an object in the selected portions of the image frames.

    NAVIGATING A VEHICLE BASED ON PREDICTIVE AGGRESSION OF OTHER VEHICLE
    115.
    发明申请
    NAVIGATING A VEHICLE BASED ON PREDICTIVE AGGRESSION OF OTHER VEHICLE 审中-公开

    公开(公告)号：US20180304889A1

    公开(公告)日：2018-10-25

    申请号：US16021488

    申请日：2018-06-28

    Applicant: Mobileye Vision Technologies Ltd.

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

    IPC: B60W30/095 ,  B60W30/09 ,  G06K9/00 ,  G05D1/00

    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 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.

    ROAD VERTICAL CONTOUR DETECTION
    116.
    发明申请
    ROAD VERTICAL CONTOUR DETECTION 审中-公开

    公开(公告)号：US20180048867A1

    公开(公告)日：2018-02-15

    申请号：US15794506

    申请日：2017-10-26

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Gideon Stein ,  Amnon Shashua

    IPC: H04N7/18 ,  B60W40/076 ,  G06K9/46 ,  G06K9/00

    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.

    Road vertical contour detection
    117.
    发明授权
    Road vertical contour detection 有权

    公开(公告)号：US09826199B2

    公开(公告)日：2017-11-21

    申请号：US14798575

    申请日：2015-07-14

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Gideon Stein ,  Amnon Shashua

    IPC: H04N7/18 ,  B60W40/076 ,  G06K9/46 ,  G06K9/00

    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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