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    SUBOPTIMAL IMMEDIATE NAVIGATIONAL RESPONSE BASED ON LONG TERM PLANNING
    12.
    发明申请
    SUBOPTIMAL IMMEDIATE NAVIGATIONAL RESPONSE BASED ON LONG TERM PLANNING 审中-公开

    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.

    Navigation Based on Detected Response of a Pedestrian to Navigational Intent
    13.
    发明申请
    Navigation Based on Detected Response of a Pedestrian to Navigational Intent 审中-公开

    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.

    ROAD VERTICAL CONTOUR DETECTION
    14.
    发明申请
    ROAD VERTICAL CONTOUR DETECTION 审中-公开

    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.

    Road vertical contour detection
    16.
    发明授权
    Road vertical contour detection 有权

    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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