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公开(公告)号：WO2017120336A3
公开(公告)日：2017-08-24
申请号：PCT/US2017012334
申请日：2017-01-05
Applicant: MOBILEYE VISION TECHNOLOGIES LTD , SHALEV-SHWARTZ SHAI , BEN-ZRIHEM NIR , COHEN AVIAD , SHASHUA AMNON , HUBERMAN DAVID , COHEN BARAK , STEIN GIDEON , SHAMMAH SHAKED , FRIDMAN OFER , BELLAICHE LEVI ITZHAK , EAGLEBERG DOR , TAIEB YOAV , GDALYAHU YORAM
Inventor： SHALEV-SHWARTZ SHAI , BEN-ZRIHEM NIR , COHEN AVIAD , SHASHUA AMNON , HUBERMAN DAVID , COHEN BARAK , STEIN GIDEON , SHAMMAH SHAKED , FRIDMAN OFER , BELLAICHE LEVI ITZHAK , EAGLEBERG DOR , TAIEB YOAV , GDALYAHU YORAM
CPC classification number: G05D1/0221 , B60W30/09 , G01C21/34 , G05D1/0088 , G05D1/0214 , G05D1/0231 , G05D1/0246 , G05D2201/0213 , G06K9/00791 , G06K9/00798 , G06N3/00 , G06N99/005
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.
Abstract translation: 提供了使用强化学习技术来导航自主车辆的系统和方法。 在一个实施方式中，用于主车辆的导航系统可以包括至少一个处理装置，该至少一个处理装置被编程为：从摄像机接收表示主车辆的环境的多个图像; 分析所述多个图像以识别与所述主车辆相关联的导航状态; 向导航系统提供导航状态; 从训练的导航系统接收用于由主车辆响应于所识别的导航状态而执行的期望的导航动作; 分析相对于一个或多个预定义的导航约束的期望的导航动作; 确定主车辆的实际导航动作，其中实际导航动作包括基于一个或多个预定义导航约束确定的期望导航动作的至少一个修改; 并且响应于所确定的主车辆的实际导航动作而导致主车辆的导航致动器的至少一个调整。
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公开(公告)号：WO2017120336A2
公开(公告)日：2017-07-13
申请号：PCT/US2017/012334
申请日：2017-01-05
Applicant: MOBILEYE VISION TECHNOLOGIES LTD. , SHALEV-SHWARTZ, Shai , BEN-ZRIHEM, Nir , COHEN, Aviad , SHASHUA, Amnon , HUBERMAN, David , COHEN, Barak , STEIN, Gideon , SHAMMAH, Shaked , FRIDMAN, Ofer , BELLAICHE, Levi Itzhak , EAGLEBERG, Dor , TAIEB, Yoav , GDALYAHU, Yoram
Inventor： SHALEV-SHWARTZ, Shai , BEN-ZRIHEM, Nir , COHEN, Aviad , SHASHUA, Amnon , HUBERMAN, David , COHEN, Barak , STEIN, Gideon , SHAMMAH, Shaked , FRIDMAN, Ofer , BELLAICHE, Levi Itzhak , EAGLEBERG, Dor , TAIEB, Yoav , GDALYAHU, Yoram
CPC classification number: G05D1/0221 , B60W30/09 , G01C21/34 , G05D1/0088 , G05D1/0214 , G05D1/0231 , G05D1/0246 , G05D2201/0213 , G06K9/00791 , G06K9/00798 , G06N3/00 , G06N99/005
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.
Abstract translation: 提供了使用强化学习技术来导航自主车辆的系统和方法。 在一个实施方式中，用于主车辆的导航系统可以包括至少一个处理装置，该至少一个处理装置被编程为：从摄像机接收表示主车辆的环境的多个图像; 分析所述多个图像以识别与所述主车辆相关联的导航状态; 向导航系统提供导航状态; 从训练的导航系统接收用于由主车辆响应于所识别的导航状态而执行的期望的导航动作; 分析相对于一个或多个预定义的导航约束的期望的导航动作; 确定主车辆的实际导航动作，其中实际导航动作包括基于一个或多个预定义导航约束确定的期望导航动作的至少一个修改; 并且响应于确定的主车辆的实际导航动作而导致主车辆的导航致动器的至少一个调节。
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公开(公告)号：WO2015175826A1
公开(公告)日：2015-11-19
申请号：PCT/US2015/030865
申请日：2015-05-14
Applicant: KAPACH, Yair , TAIEB, Yoav , KRUPNIK, Yoel
Inventor： KAPACH, Yair , TAIEB, Yoav , KRUPNIK, Yoel
CPC classification number: G06K9/00818 , B60R1/00 , G06K9/52 , G06K9/6202 , G06K9/6215
Abstract: Systems and methods are provided for detecting traffic signs. In one implementation, a traffic sign detection system for a vehicle include at least one image capture device configured to acquire at least one image of a scene including a traffic sign ahead of the vehicle. The traffic sign detection system also includes a data interface and at least one processing device programmed to receive the at least one image via the data interface, transform the at least one image, sample the transformed at least one image to generate a plurality of images having different sizes, convolve each of the plurality of images with a template image, compare each pixel value of each convolved image to a predetermined threshold, and select local maxima of pixel values within local regions of each convolved image as attention candidates, the local maxima being greater than the predetermined threshold.
Abstract translation: 提供了用于检测交通标志的系统和方法。 在一个实现中，用于车辆的交通标志检测系统包括至少一个图像捕获装置，其被配置为获取包括车辆前方的交通标志的场景的至少一个图像。 交通标志检测系统还包括数据接口和至少一个被编程为经由数据接口接收至少一个图像的处理装置，变换至少一个图像，对经变换的至少一个图像进行采样以产生具有 将多个图像中的每一个与模板图像进行卷积，将每个卷积图像的每个像素值与预定阈值进行比较，并且将每个卷积图像的局部区域内的像素值的局部最大值选择为注意候选，局部最大值为 大于预定阈值。
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公开(公告)号：WO2020165650A3
公开(公告)日：2020-08-20
申请号：PCT/IB2020/000115
申请日：2020-02-14
Applicant: MOBILEYE VISION TECHNOLOGIES LTD. , SCHWARTZ, Maxim , PEKER, Eli , SHAPIRA, Dori , BRAUNSTEIN, Daniel , GDALYAHU, Yoram , VIENTE, Kfir , COHEN MASLATON, Raz , BEN SHALOM, Itai , TAIEB, Yoav
Inventor： SCHWARTZ, Maxim , PEKER, Eli , SHAPIRA, Dori , BRAUNSTEIN, Daniel , GDALYAHU, Yoram , VIENTE, Kfir , COHEN MASLATON, Raz , BEN SHALOM, Itai , TAIEB, Yoav
Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a navigation system for a host vehicle includes at least one processor programmed to: receive, from a camera of the host vehicle, one or more images captured from an environment of the host vehicle; analyze the one or more images to detect an indicator of an intersection; determine, based on output received from at least one sensor of the host vehicle, a stopping location of the host vehicle relative to the detected intersection; analyze the one or more images to determine an indicator of whether one or more other vehicles are in front of the host vehicle; and send the stopping location of the host vehicle and the indicator of whether one or more other vehicles are in front of the host vehicle to a server for use in updating a road navigation model.
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Patent Agency Ranking
公开(公告)号：WO2015116950A1
公开(公告)日：2015-08-06
申请号：PCT/US2015/013812
申请日：2015-01-30
Applicant: CLARKE, Anna , BAGON, Eyal , TUBIS, Igor , STEIN, Gideon , SHASHUA, Amnon , BEN SHALOM, Itai , TAIEB, Yoav , SHALEV, Shai , HUBERMAN, David
Inventor： CLARKE, Anna , BAGON, Eyal , TUBIS, Igor , STEIN, Gideon , SHASHUA, Amnon , BEN SHALOM, Itai , TAIEB, Yoav , SHALEV, Shai , HUBERMAN, David
IPC: G06K9/00
CPC classification number: G05D1/0276 , B60K31/00 , B60T7/12 , B60W10/20 , B60W30/00 , B60W30/09 , B60W30/12 , B60W30/14 , B60W30/18163 , B60W2420/42 , B60W2550/10 , B60W2550/142 , B60W2550/146 , B60W2550/22 , B60W2550/30 , B60W2550/306 , B60W2710/207 , B62D6/00 , G01S19/42 , G05D1/0088 , G05D1/0246 , G06K9/00798 , G06K9/00805 , G06K9/00825 , G06T7/62 , G06T2207/30256 , G06T2207/30261 , G08G1/095 , H04N7/181 , H04N7/183
Abstract: Systems and methods use cameras to provide autonomous navigation features. In one implementation, a lane ending detection system is provided for a vehicle. One or more processing devices associated with the system receive at least one image via a data interface. The device(s) extract lane ending information from the road sign(s) included in the image data and determine, based on at least one indicator of position of the vehicle, a distance from the vehicle to one or more lane constraints associated with the current lane. The processing device(s) determine, based on the lane ending information and the vehicle position, whether a current lane in which the vehicle is traveling is ending. Further, the system may cause the vehicle to change lanes if the lane in which the vehicle is traveling is ending.
Abstract translation: 系统和方法使用相机提供自主导航功能。 在一个实施方式中，为车辆提供车道结束检测系统。 与系统相关联的一个或多个处理设备经由数据接口接收至少一个图像。 该设备从包含在图像数据中的道路标志中提取车道结束信息，并且基于车辆的位置的至少一个指示符来确定从车辆到与该车辆相关联的一个或多个车道约束的距离 当前车道。 处理装置基于车道结束信息和车辆位置来确定车辆正在行驶的当前车道是否正在结束。 此外，如果车辆行驶的车道正在结束，则系统可能导致车辆改变车道。
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公开(公告)号：WO2020240274A1
公开(公告)日：2020-12-03
申请号：PCT/IB2020/000413
申请日：2020-05-28
Applicant: MOBILEYE VISION TECHNOLOGIES LTD. , MALACH, Eran , SHALEV-SHWARTZ, Shai , NOTI, Dor , COHEN, Ziv , TAIEB, Yoav , PEKER, Eli , BEN SHALOM, Itai , LANG BEN NUN, Nimrod
Inventor： MALACH, Eran , SHALEV-SHWARTZ, Shai , NOTI, Dor , COHEN, Ziv , TAIEB, Yoav , PEKER, Eli , BEN SHALOM, Itai , LANG BEN NUN, Nimrod
Abstract: Systems and methods are provided for vehicle navigation. In one implementation, at least one processor may receive, from a camera of a vehicle, at least one image captured from an environment of the vehicle. The processor may analyze the at least one image to identify a road topology feature in the environment of the vehicle represented in the at least one image and at least one point associated with the at least one image. Based on the identified road topology feature, the processor may determine an estimated path in the environment of the vehicle associated with the at least one point. The processor may further cause the vehicle to implement a navigational action based on the estimated path.
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公开(公告)号：WO2020165650A2
公开(公告)日：2020-08-20
申请号：PCT/IB2020/000115
申请日：2020-02-14
Applicant: MOBILEYE VISION TECHNOLOGIES LTD. , SCHWARTZ, Maxim , PEKER, Eli , SHAPIRA, Dori , BRAUNSTEIN, Daniel , GDALYAHU, Yoram , VIENTE, Kfir , COHEN MASLATON, Raz , BEN SHALOM, Itai , TAIEB, Yoav
Inventor： SCHWARTZ, Maxim , PEKER, Eli , SHAPIRA, Dori , BRAUNSTEIN, Daniel , GDALYAHU, Yoram , VIENTE, Kfir , COHEN MASLATON, Raz , BEN SHALOM, Itai , TAIEB, Yoav
Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a navigation system for a host vehicle includes at least one processor programmed to: receive, from a camera of the host vehicle, one or more images captured from an environment of the host vehicle; analyze the one or more images to detect an indicator of an intersection; determine, based on output received from at least one sensor of the host vehicle, a stopping location of the host vehicle relative to the detected intersection; analyze the one or more images to determine an indicator of whether one or more other vehicles are in front of the host vehicle; and send the stopping location of the host vehicle and the indicator of whether one or more other vehicles are in front of the host vehicle to a server for use in updating a road navigation model.
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8.发明申请SPARSE MAP FOR AUTONOMOUS VEHICLE NAVIGATION 审中-公开用于自动车辆导航的空间地图（SPARSE MAP FOR AUTONOMOUS VEHICLE NAVIGATION）
公开(公告)号：WO2016130719A3
公开(公告)日：2016-09-15
申请号：PCT/US2016017411
申请日：2016-02-10
Applicant: SHASHUA AMNON , GDALYAHU YORAM , SPRINGER OFER , REISMAN ARAN , BRAUNSTEIN DANIEL , BUBERMAN ORI , SHALEV-SHWARTZ SHAI , TAIEB YOAV , TUBIS IGOR , HUBERMAN DAVID , BELLAICHE LEVI , STEIN GIDEON , FERENCZ ANDRAS , HAYON GABY , RUBINSKY SERGEY , LIVYATAN HAREL , AVIEL YUVAL
Inventor： SHASHUA AMNON , GDALYAHU YORAM , SPRINGER OFER , REISMAN ARAN , BRAUNSTEIN DANIEL , BUBERMAN ORI , SHALEV-SHWARTZ SHAI , TAIEB YOAV , TUBIS IGOR , HUBERMAN DAVID , BELLAICHE LEVI , STEIN GIDEON , FERENCZ ANDRAS , HAYON GABY , RUBINSKY SERGEY , LIVYATAN HAREL , AVIEL YUVAL
CPC classification number: G05D1/0278 , 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 , G05D1/0088 , G05D1/0212 , G05D1/0219 , G05D1/0221 , G05D1/0246 , G05D1/0251 , G05D1/0253 , 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: Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium includes a sparse map for autonomous vehicle navigation along a road segment. The sparse map includes a polynomial representation of a target trajectory for the autonomous vehicle along the road segment and a plurality of predetermined landmarks associated with the road segment, wherein the plurality of predetermined landmarks are spaced apart by at least 50 meters. The sparse map has a data density of no more than 1 megabyte per kilometer.
Abstract translation: 提供了用于构建，使用和更新用于自主车辆导航的稀疏图的系统和方法。 在一个实现中，非暂时计算机可读介质包括用于沿着道路段自主车辆导航的稀疏地图。 稀疏映射包括沿着道路段的自主车辆的目标轨迹的多项式表示和与道路段相关联的多个预定地标，其中多个预定地标间隔开至少50米。 稀疏地图的数据密度每公里不超过1兆字节。
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公开(公告)号：WO2016130719A2
公开(公告)日：2016-08-18
申请号：PCT/US2016/017411
申请日：2016-02-10
Applicant: SHASHUA, Amnon , GDALYAHU, Yoram , SPRINGER, Ofer , REISMAN, Aran , BRAUNSTEIN, Daniel , BUBERMAN, Ori , SHALEV-SHWARTZ, Shai , TAIEB, Yoav , TUBIS, Igor , HUBERMAN, David , BELLAICHE, Levi , STEIN, Gideon , FERENCZ, Andras , HAYON, Gaby , RUBINSKY, Sergey , LIVYATAN, Harel , AVIEL, Yuval
Inventor： SHASHUA, Amnon , GDALYAHU, Yoram , SPRINGER, Ofer , REISMAN, Aran , BRAUNSTEIN, Daniel , BUBERMAN, Ori , SHALEV-SHWARTZ, Shai , TAIEB, Yoav , TUBIS, Igor , HUBERMAN, David , BELLAICHE, Levi , STEIN, Gideon , FERENCZ, Andras , HAYON, Gaby , RUBINSKY, Sergey , LIVYATAN, Harel , AVIEL, Yuval
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: Systems and methods are provided for constructing, using, and updating the sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium includes a sparse map for autonomous vehicle navigation along a road segment. The sparse map includes a polynomial representation of a target trajectory for the autonomous vehicle along the road segment and a plurality of predetermined landmarks associated with the road segment, wherein the plurality of predetermined landmarks are spaced apart by at least 50 meters. The sparse map has a data density of no more than 1 megabyte per kilometer.
Abstract translation: 系统和方法被提供用于构建，使用和更新用于自主车辆导航的稀疏映射。 在一个实现中，非暂时性计算机可读介质包括用于沿着道路段的自主车辆导航的稀疏映射。 稀疏映射包括沿路段的自主车辆的目标轨迹的多项式表示以及与路段相关联的多个预定界标，其中多个预定界标间隔至少50米。 稀疏地图的数据密度不超过每公里1兆字节。
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