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    • 2. 发明授权
    • Detecting and recognizing traffic signs
    • 检测和识别交通标志
    • US08064643B2
    • 2011-11-22
    • US11951405
    • 2007-12-06
    • Gideon P. SteinOri ShacharYoav TaiebUri Wolfovitz
    • Gideon P. SteinOri ShacharYoav TaiebUri Wolfovitz
    • G06K9/00
    • G08G1/0967G06K9/00818G08G1/096783
    • A method for detecting and identifying a traffic sign in a computerized system mounted on a moving vehicle. The system includes a camera mounted on the moving vehicle. The camera captures in real time multiple image frames of the environment in the field of view of the camera and transfers the image frames to an image processor. The processor is programmed for performing the detection of the traffic sign and for performing another driver assistance function. The image frames are partitioned into the image processor into a first portion of the image frames for the detection of the traffic sign and into a second portion of the image frames for the other driver assistance function. Upon detecting an image suspected to be of the traffic sign in at least one of said image frames of the first portion, the image is tracked in at least one of the image frames of the second portion.
    • 一种用于检测和识别安装在移动车辆上的计算机化系统中的交通标志的方法。 该系统包括安装在移动车辆上的摄像机。 摄像机在摄像机视野中实时拍摄环境的多个图像帧,并将图像帧传输到图像处理器。 处理器被编程为执行交通标志的检测和执行另一个驾驶员辅助功能。 图像帧被划分为图像处理器,以便图像帧的第一部分用于检测交通标志,并进入图像帧的第二部分以用于另一个驾驶员辅助功能。 在检测到怀疑是交通登记在第一部分的至少一个所述图像帧中的图像时,在第二部分的至少一个图像帧中跟踪图像。
    • 4. 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。
    • 5. 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。