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    FINETUNING FOR MULTI-TASK LEARNING
    1.
    发明公开
    FINETUNING FOR MULTI-TASK LEARNING 审中-公开

    公开(公告)号：US20240256860A1

    公开(公告)日：2024-08-01

    申请号：US18424024

    申请日：2024-01-26

    Applicant: Mobileye Vision Technologies Ltd.

    Inventor： Shai Shalev-Shwartz ,  Eran Malach ,  Gal Kaplun ,  Andrey Gurevich ,  Mazor David ,  Tal Swisa

    IPC: G06N3/08

    CPC classification number: G06N3/08

    Abstract: Systems and methods generate an extended trained model. In one implementation, a method includes obtaining a preexisting trained model, the preexisting trained model including a plurality of preexisting weights, wherein each of the plurality of preexisting weights is associated with a preexisting value; identifying a subset of the plurality of preexisting weights; generating a plurality of extended weights based on a training process using duplicates of the subset of the plurality of preexisting weights; and generating the extended trained model, wherein the extended trained model includes the plurality of preexisting weights and the plurality of extended weights.

    NAVIGATION RELATIVE TO PEDESTRIANS AT CROSSWALKS
    7.
    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.

    Constraint relaxation in a navigational system
    8.
    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.

    Constraint augmentation in a navigational system
    9.
    发明授权
    Constraint augmentation in a navigational system 有权

    公开(公告)号：US10649462B2

    公开(公告)日：2020-05-12

    申请号：US16019892

    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 ,  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.

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