公开(公告)号：US10101744B2

公开(公告)日：2018-10-16

申请号：US15272893

申请日：2016-09-22

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Aran Reisman ,  Ori Buberman

IPC: G01C21/36 ,  G05D1/00 ,  G01C21/32 ,  G06F17/30 ,  B60W30/18 ,  G01C21/14 ,  G05D1/02 ,  G08G1/0967 ,  B62D15/02 ,  G08G1/0962 ,  G08G1/16 ,  G01C21/34 ,  G06K9/00 ,  G01C21/16 ,  G08G1/01 ,  B60W30/14 ,  G08G1/0968 ,  H04L29/08 ,  G06T7/00 ,  G01S19/10

Abstract: A navigation system for a vehicle is provided. The system includes at least one processor programmed to receive, from one or more sensors, outputs indicative of a motion of the vehicle. The at least one processor is also programmed to determine an actual trajectory of the vehicle based on the outputs from the one or more sensors; receive, from a camera, at least one environmental image associated with the vehicle; and analyze the at least one environmental image to determine information associated with at least one navigational constraint. The at least one processor is further programmed to determine a target trajectory, including the actual trajectory of the vehicle and one or more modifications to the actual trajectory based on the determined information associated with the at least one navigational constraint; and transmit the target trajectory from the vehicle to a server.

公开(公告)号：US10162355B2

公开(公告)日：2018-12-25

申请号：US15273640

申请日：2016-09-22

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Gaby Hayon ,  Yoram Gdalyahu ,  Gideon Stein ,  Ori Buberman

IPC: G01C21/26 ,  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 ,  G06K9/32 ,  H04L29/08 ,  G06T7/00 ,  G01S19/10

Abstract: Systems and methods are provided for interacting with a plurality of autonomous vehicles. In one implementation, a navigation system for a vehicle may include a memory including a predetermined road model representative of at least one road segment and at least one processor. The at least one processor may be programmed to selectively receive, from the plurality of autonomous vehicles, road environment information based on navigation by the plurality of autonomous vehicles through their respective road environments, determine whether one or more updates to the predetermined road model are required based on the road environment information, and update the predetermined road model to include the one or more updates.

公开(公告)号：US10795375B2

公开(公告)日：2020-10-06

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: G05D1/02 ,  G06F17/00 ,  B60R1/00 ,  B60W30/095 ,  B60R21/00 ,  B60R22/00 ,  G06N20/00 ,  B60W30/09 ,  G01C21/34 ,  G05D1/00 ,  G06K9/00 ,  G06N3/00 ,  G06N3/08 ,  G06N7/00 ,  G06N3/04 ,  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.

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.

公开(公告)号：US20170010124A1

公开(公告)日：2017-01-12

申请号：US15272893

申请日：2016-09-22

Applicant: MOBILEYE VISION TECHNOLOGIES LTD.

Inventor： Aran Reisman ,  Ori Buberman

IPC: G01C21/36 ,  G01C21/16

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 navigation system for a vehicle is provided. The system includes at least one processor programmed to receive, from one or more sensors, outputs indicative of a motion of the vehicle. The at least one processor is also programmed to determine an actual trajectory of the vehicle based on the outputs from the one or more sensors; receive, from a camera, at least one environmental image associated with the vehicle; and analyze the at least one environmental image to determine information associated with at least one navigational constraint. The at least one processor is further programmed to determine a target trajectory, including the actual trajectory of the vehicle and one or more modifications to the actual trajectory based on the determined information associated with the at least one navigational constraint; and transmit the target trajectory from the vehicle to a server.

Abstract translation: 提供了一种用于车辆的导航系统。 该系统包括被编程为从一个或多个传感器接收指示车辆运动的输出的至少一个处理器。 至少一个处理器还被编程为基于来自一个或多个传感器的输出来确定车辆的实际轨迹; 从相机接收与所述车辆相关联的至少一个环境图像; 并且分析所述至少一个环境图像以确定与至少一个导航约束相关联的信息。 所述至少一个处理器被进一步编程以基于与所述至少一个导航约束相关联的所确定的信息来确定包括所述车辆的实际轨迹和对所述实际轨迹的一个或多个修改的目标轨迹; 并将目标轨迹从车辆传输到服务器。