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    NAVIGATION RELATIVE TO PEDESTRIANS AT CROSSWALKS
    8.
    发明申请
    NAVIGATION RELATIVE TO PEDESTRIANS AT CROSSWALKS 有权

    公开(公告)号：US20210162995A1

    公开(公告)日：2021-06-03

    申请号：US17174689

    申请日：2021-02-12

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Shai Shalev-Shwartz ,  Shaked Shammah ,  Amnon Shashua ,  Barak Cohen ,  Zeev Adelman

    IPC: B60W30/09 ,  G05D1/02 ,  B60W60/00 ,  G06K9/00 ,  G06T7/70 ,  G06T7/20

    Abstract: Systems and methods are provided for navigating a host vehicle. At least one processing device may be programmed to receive an image of an environment of the host vehicle; detect, based on analysis of the image, a pedestrian crosswalk in the image; detect a presence of a traffic light and determine whether the traffic light is relevant to the host vehicle and the pedestrian crosswalk; determine a state of the traffic light; determine, when a pedestrian appears in the image, a proximity of the pedestrian relative to the pedestrian crosswalk; determine a planned navigational action for navigating the host vehicle relative to the pedestrian crosswalk based on a driving policy, the state of the traffic light and the proximity of the pedestrian relative to the pedestrian crosswalk; and cause one or more actuator systems of the host vehicle to implement the planned navigational action.

    PRIORITIZED CONSTRAINTS FOR A NAVIGATIONAL SYSTEM
    9.
    发明申请
    PRIORITIZED CONSTRAINTS FOR A NAVIGATIONAL SYSTEM 有权

    公开(公告)号：US20210034068A1

    公开(公告)日：2021-02-04

    申请号：US17075147

    申请日：2020-10-20

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： SHAI SHALEV-SHWARTZ ,  Amnon Shashua ,  Shaked Shammah

    IPC: G05D1/02 ,  G06N20/00 ,  B60W30/09 ,  G01C21/34 ,  G05D1/00 ,  G06K9/00 ,  G06N3/00 ,  G06N3/08 ,  G06N7/00 ,  G06N3/04 ,  B60W30/095 ,  B60W50/00 ,  G06N5/04 ,  B60W50/04 ,  G01C21/36

    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.

    Constraint relaxation in a navigational system
    10.
    发明授权
    Constraint relaxation in a navigational system 有权

    公开(公告)号：US10782703B2

    公开(公告)日：2020-09-22

    申请号：US16434050

    申请日：2019-06-06

    Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

    Inventor： Shai Shalev-Shwartz ,  Shaked Shammah ,  Amnon Shashua ,  Yoav Taieb ,  Gideon Stein

    IPC: G05D1/02 ,  G05D1/00 ,  G01C21/34 ,  G06N20/00 ,  B60W30/09 ,  G06K9/00 ,  G06N3/00 ,  G06N3/08 ,  G06N7/00 ,  G06N3/04 ,  B60W30/095 ,  B60W50/00 ,  G06N5/04 ,  B60W50/04 ,  G01C21/36

    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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