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    • 1. 发明申请
    • Headlight, Taillight And Streetlight Detection
    • 大灯,尾灯和路灯检测
    • US20070221822A1
    • 2007-09-27
    • US11689523
    • 2007-03-22
    • Gideon P. SteinOfer HadassiNoam Ben HaimUri Wolfovitz
    • Gideon P. SteinOfer HadassiNoam Ben HaimUri Wolfovitz
    • G01J1/32
    • G06K9/00825B60Q1/143B60Q2300/3321B60Q2300/41B60Q2300/42B60Q2300/45G06K9/00818G08G1/165G08G1/166G08G1/167
    • A method in a computerized system including an image sensor mounted in a moving vehicle. The image sensor captures image frames consecutively in real time. In one of the image flames, a spot is detected of measurable brightness; the spot is matched in subsequent image frames. The image frames are available for sharing between the computerized system and another vehicle control system. The spot and the corresponding spot are images of the same object. The object is typically one or more of headlights from an oncoming vehicle, taillights of a leading vehicle, streetlights, street signs and/or traffic signs. Data is acquired from the spot and from the corresponding spot. By processing the data, the object (or spot) is classified. producing an object classification. The vehicle control system controls preferably headlights of the moving vehicle based on the object classification. The other vehicle control system using the image frames is one or more of: lane departure warning system, collision warning system and/or ego-motion estimation system.
    • 一种包括安装在移动车辆中的图像传感器的计算机化系统中的方法。 图像传感器实时捕获图像帧。 在其中一个图像火焰中,检测到可测量亮度的斑点; 该点在随后的图像帧中匹配。 图像帧可用于计算机化系统与另一车辆控制系统之间的共享。 斑点和相应的斑点是同一物体的图像。 该物体通常是一个或多个来自迎面而来的车辆的前灯,领先车辆的尾灯,路灯,路牌和/或交通标志。 数据是从现场和相应的地点获取的。 通过处理数据,对象(或点)进行分类。 产生一个对象分类。 基于对象分类,车辆控制系统优选地控制移动车辆的前灯。 使用图像帧的其他车辆控制系统是车道偏离警告系统,碰撞警告系统和/或自主运动估计系统中的一个或多个。
    • 2. 发明授权
    • Headlight, taillight and streetlight detection
    • 大灯,尾灯和路灯检测
    • US07566851B2
    • 2009-07-28
    • US11689523
    • 2007-03-22
    • Gideon P. SteinOfer HadassiNoam Ben HaimUri Wolfovitz
    • Gideon P. SteinOfer HadassiNoam Ben HaimUri Wolfovitz
    • H01L27/00B60Q1/02
    • G06K9/00825B60Q1/143B60Q2300/3321B60Q2300/41B60Q2300/42B60Q2300/45G06K9/00818G08G1/165G08G1/166G08G1/167
    • A method in a computerized system including an image sensor mounted in a moving vehicle. The image sensor captures image frames consecutively in real time. In one of the image flames, a spot is detected of measurable brightness; the spot is matched in subsequent image frames. The image frames are available for sharing between the computerized system and another vehicle control system. The spot and the corresponding spot are images of the same object. The object is typically one or more of headlights from an oncoming vehicle, taillights of a leading vehicle, streetlights, street signs and/or traffic signs. Data is acquired from the spot and from the corresponding spot. By processing the data, the object (or spot) is classified. producing an object classification. The vehicle control system controls preferably headlights of the moving vehicle based on the object classification. The other vehicle control system using the image frames is one or more of: lane departure warning system, collision warning system and/or ego-motion estimation system.
    • 一种包括安装在移动车辆中的图像传感器的计算机化系统中的方法。 图像传感器实时捕获图像帧。 在其中一个图像火焰中,检测到可测量亮度的斑点; 该点在随后的图像帧中匹配。 图像帧可用于计算机化系统与另一车辆控制系统之间的共享。 斑点和相应的斑点是同一物体的图像。 该物体通常是一个或多个来自迎面而来的车辆的前灯,领先车辆的尾灯,路灯,路牌和/或交通标志。 数据是从现场和相应的地点获取的。 通过处理数据,对象(或点)进行分类。 产生一个对象分类。 基于对象分类,车辆控制系统优选地控制移动车辆的前灯。 使用图像帧的其他车辆控制系统是车道偏离警告系统,碰撞警告系统和/或自主运动估计系统中的一个或多个。
    • 5. 发明申请
    • Transportation Information Systems and Methods Associated With Degradation Modes
    • 与降解模式相关的交通信息系统与方法
    • US20120232776A1
    • 2012-09-13
    • US13228225
    • 2011-09-08
    • Alex GontmakherFrederick Peter BrewinNoam Ben Haim
    • Alex GontmakherFrederick Peter BrewinNoam Ben Haim
    • G08G1/123
    • G08G1/127G01C21/3423G01C21/3438G06Q10/025G06Q10/047G06Q50/30
    • An exemplary method includes determining whether real-time vehicle location information deviates from at least one of historical real-time vehicle location information or scheduled vehicle location information. The exemplary method further includes generating a schedule degradation mode based on a deviation of real-time vehicle location information from at least one of historical real-time vehicle location information or scheduled vehicle location information. The exemplary method also includes generating first scheduling information for a user based on the user data and public transportation data when the deviation does not exceed a threshold. The exemplary method farther includes generating second scheduling information, different from the first scheduling information, that includes an indication of the schedule degradation mode for the user based on user data, public transportation data, and the deviation when the deviation exceeds the threshold.
    • 一种示例性方法包括确定实时车辆位置信息是否偏离历史实时车辆位置信息或调度车辆位置信息中的至少一个。 该示例性方法还包括基于实时车辆位置信息与历史实时车辆位置信息或调度车辆位置信息中的至少一个的偏差来生成调度退化模式。 该示例性方法还包括当偏差不超过阈值时,基于用户数据和公共交通数据为用户生成第一调度信息。 该示例性方法还包括生成与第一调度信息不同的第二调度信息,其包括基于用户数据,公共交通数据以及当偏差超过阈值时的偏差的用户的调度退化模式的指示。
    • 6. 发明授权
    • Transportation information systems and methods associated with degradation modes
    • 与降解模式相关的运输信息系统和方法
    • US08645050B2
    • 2014-02-04
    • US13228225
    • 2011-09-08
    • Alex GontmakherFrederick Peter BrewinNoam Ben Haim
    • Alex GontmakherFrederick Peter BrewinNoam Ben Haim
    • G06G7/70
    • G08G1/127G01C21/3423G01C21/3438G06Q10/025G06Q10/047G06Q50/30
    • An exemplary method includes determining whether real-time vehicle location information deviates from at least one of historical real-time vehicle location information or scheduled vehicle location information. The exemplary method further includes generating a schedule degradation mode based on a deviation of real-time vehicle location information from at least one of historical real-time vehicle location information or scheduled vehicle location information. The exemplary method also includes generating first scheduling information for a user based on the user data and public transportation data when the deviation does not exceed a threshold. The exemplary method farther includes generating second scheduling information, different from the first scheduling information, that includes an indication of the schedule degradation mode for the user based on user data, public transportation data, and the deviation when the deviation exceeds the threshold.
    • 一种示例性方法包括确定实时车辆位置信息是否偏离历史实时车辆位置信息或调度车辆位置信息中的至少一个。 该示例性方法还包括基于实时车辆位置信息与历史实时车辆位置信息或调度车辆位置信息中的至少一个的偏差来生成调度退化模式。 该示例性方法还包括当偏差不超过阈值时,基于用户数据和公共交通数据为用户生成第一调度信息。 该示例性方法还包括生成与第一调度信息不同的第二调度信息,其包括基于用户数据,公共交通数据以及当偏差超过阈值时的偏差的用户的调度退化模式的指示。