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    • 1. 发明授权
    • Procedure for automatically landing an aircraft
    • 自动降落飞机的程序
    • US09443437B2
    • 2016-09-13
    • US12883845
    • 2010-09-16
    • Manfred Hiebl
    • Manfred Hiebl
    • G08G5/02G08G7/00G05D1/06G08G5/00
    • G08G5/025G05D1/0684G08G5/0013G08G5/0069G08G7/00
    • A procedure and system are provided for automatically landing an aircraft, particularly an unmanned aircraft on a moving, particularly floating landing platform, for example, on an aircraft carrier, the aircraft being equipped with an automatic navigation device and an automatic landing control device. The procedure includes detecting the position of an intended landing spot, detecting motion data of the landing platform, determining at least one imminent point in time at which the landing spot takes up a reference position, transmitting the point in time and the reference position of the landing spot to the landing control device of the aircraft, and controlling the aircraft such that it reaches the landing spot at the point in time.
    • 提供了一种程序和系统,用于自动着陆飞机,特别是在移动的,特别是浮动的着陆平台上的无人飞机,例如在航空母舰上,飞行器配备有自动导航装置和自动着陆控制装置。 该过程包括检测预期着陆点的位置,检测着陆平台的运动数据,确定着陆点占据参考位置的至少一个迫在眉睫的时间点,将时间点和 着陆点到飞机的着陆控制装置,并控制飞机,使其在该时间点到达着陆点。
    • 2. 发明授权
    • Method for identifying and classifying an object
    • 识别和分类对象的方法
    • US09542464B2
    • 2017-01-10
    • US13202265
    • 2010-02-09
    • Manfred Hiebl
    • Manfred Hiebl
    • G06F17/30G06K9/62
    • G06F17/30575G06K9/6293
    • In a method for identifying and classifying an object, an object is detected by at least one physical detector tuned for it, the object is evaluated from the output signal of the detector and by an evaluation unit, and the object is identified and/or classified on the basis of predefinable properties from the output signal. A number of different physical features of the object are derived from the output signal, and the object is assigned to one of N predetermined basic classes on the basis of the derived physical features. The N basic classes are arranged in a predetermined order to form an N-dimensional vector V, which is assigned to the object, such that the elements v1, . . . , vN of the vector V indicate that the object belongs to the respective basic class. The object is then assigned to a derived class, which is taken from a reference data base, as a function of the vector V.
    • 在用于识别和分类对象的方法中,通过为其调谐的至少一个物理检测器检测对象,根据检测器的输出信号和评估单元评估对象,并且对象被识别和/或分类 在输出信号的预定属性的基础上。 从输出信号导出对象的多个不同物理特征,并且基于导出的物理特征将对象分配给N个预定基本类中的一个。 N个基本类以预定顺序排列以形成分配给对象的N维向量V,使得元素v1,...。 。 。 ,矢量V的vN表示对象属于各自的基本类。 然后将对象分配给从参考数据库取得的派生类,作为向量V的函数。
    • 5. 发明授权
    • Method for entropy-based determination of object edge curves
    • 基于熵的物体边缘曲线确定方法
    • US08682067B2
    • 2014-03-25
    • US13202246
    • 2010-02-09
    • Manfred Hiebl
    • Manfred Hiebl
    • G06K9/00
    • G06K9/4609G06K9/0063G06T7/13G06T7/143G06T2207/10024G06T2207/10036G06T2207/10048G06T2207/20012G06T2207/20076G06T2207/30184G06T2207/30212G06T2207/30252
    • In a method for determining object edge curves in a recorded image of a multispectral camera, the image recorded is converted into a false color image, hue value from the HSV color space is assigned to each pixel in the false color image such that the hue value corresponds to a hue angle on a predetermined color circle, and the pixels are classified as object pixels and background pixels, such that those pixels with hue values that are within a predetermined value range are defined as the object pixels. An entropy profile is then determined by way of a displaceable evaluation window, such that the entropy of mixing S is calculated for each pixel from the object pixels and background pixels according to the equation: S = - k ⁡ ( n A ⁢ ln ⁢ n A n A + n B + n B ⁢ ln ⁢ n B n A + n B ) where nA denotes the number of object pixels within the evaluation window, nB denotes the number of background pixels within the evaluation window and k is a proportionality factor.
    • 在用于确定多光谱照相机的记录图像中的物体边缘曲线的方法中,将记录的图像转换为假彩色图像,将来自HSV颜色空间的色调值分配给伪彩色图像中的每个像素,使得色相值 对应于预定颜色圆上的色调角,并且将像素分类为对象像素和背景像素,使得具有在预定值范围内的色调值的那些像素被定义为对象像素。 然后通过可移位的评估窗口确定熵曲线,使得根据以下等式从对象像素和背景像素计算每个像素的混合熵::S = - k⁡(n A ln n A n A + n B + n B ln n B n A + n B)其中n A表示评估窗口内的对象像素的数量,nB表示评估窗口内的背景像素的数量,k是比例因子 。
    • 6. 发明授权
    • Method for object recognition
    • 对象识别方法
    • US08639448B2
    • 2014-01-28
    • US12782414
    • 2010-05-18
    • Manfred Hiebl
    • Manfred Hiebl
    • G06F19/00G06K9/00
    • G06K9/626G01S7/412G01S13/726G06K9/6229
    • A method for recognizing an object that has a plurality of expressions of abstract object characteristics, and is associated with an object characteristic class of a hierarchical system of object characteristic classes stored in a first memory. The method includes i) observing at least one location at which the object is presumed to be present, using a plurality of sensors in a sensor population, each of said sensors responding to at least one object characteristic and accordingly emitting a sensor signal; ii) checking whether each of the emitted sensor signals exceeds a specified threshold value for the sensor signals, and accepting sensor signals which exceed the threshold value; iii) pairing combinations of the sensor characteristics, for the accepted sensor signals obtained in ii) to form identification characteristic pairs; iv) comparing the population of identification characteristic pairs obtained in iii) to the object characteristic classes stored in the first memory; and v) identifying the object, based on the object characteristic class, whose object characteristic pairs are identical to the identification characteristic pairs obtained in iii).
    • 一种用于识别具有抽象对象特征的多个表达的对象的方法,并且与存储在第一存储器中的对象特征类的分层系统的对象特征类相关联。 该方法包括:i)使用传感器群体中的多个传感器来观察至少一个假定存在对象的位置,每个所述传感器响应于至少一个对象特征并因此发射传感器信号; ii)检查每个发射的传感器信号是否超过传感器信号的指定阈值,并且接受超过阈值的传感器信号; iii)对于在ii)中获得的所接受的传感器信号,对传感器特性的组合进行配对以形成识别特征对; iv)将在iii)中获得的识别特征对的总体与存储在第一存储器中的对象特征类别进行比较; 以及v)基于对象特征等级来识别对象,其对象特征对与在iii)中获得的识别特征对相同。
    • 7. 发明申请
    • Method for The Identification of Objects
    • 物体识别方法
    • US20110311106A1
    • 2011-12-22
    • US13145472
    • 2010-01-19
    • Manfred Hiebl
    • Manfred Hiebl
    • G06K9/62
    • G06K9/0063G06T17/05
    • A method for the identification of objects in a predetermined target area involves recording a first and a second height profile of the target area, wherein the two height profiles are recorded at a predeterminable time interval. A height difference profile is determined from the first and the second height profile. The height difference profile is subdivided in equidistant horizontal height sections. The positions of the centroids of the surface areas enclosed by the respective contour lines of the horizontal height sections are calculated and the determined height difference profile and the calculated centroids of the surface areas are supplied to a system for classifying objects.
    • 用于识别预定目标区域中的物体的方法包括记录目标区域的第一和第二高度轮廓,其中以可预定的时间间隔记录两个高度轮廓。 从第一和第二高度轮廓确定高差差分布。 高差差剖面细分为等距水平高度段。 计算由水平高度部分的相应轮廓线包围的表面区域的质心的位置,并且将确定的高度差分布和所计算的表面积的质心提供给用于分类物体的系统。
    • 10. 发明申请
    • Camera System for Recording and Tracking Remote Moving Objects
    • 用于记录和跟踪远程移动物体的相机系统
    • US20130329055A1
    • 2013-12-12
    • US13983422
    • 2012-02-02
    • Manfred HieblHans-Wolfgang Pongratz
    • Manfred HieblHans-Wolfgang Pongratz
    • H04N5/232
    • H04N5/23296G01S3/786G01S17/66
    • A camera system for detecting and tracking moving objects located at a great distance includes a camera having a camera lens system, and a position stabilizing device. The camera includes a first image sensor and a second image sensor. The camera lens system includes optical elements for focusing incident radiation onto a radiation sensitive surface of the first image sensor and/or the second image sensor with a reflecting telescope arrangement and a target tracking mirror arrangement, and a drive device for a movable element of the target tracking mirror arrangement and with a control system for the drive device. The optical elements includes a first subassembly of optical elements having a first focal length and associated with the first image sensor, and a second subassembly of optical elements having a second focal length that is shorter than the first focal length and associated with the second image sensor.
    • 用于检测和跟踪位于较远距离的移动物体的照相机系统包括具有照相机镜头系统的照相机和位置稳定装置。 相机包括第一图像传感器和第二图像传感器。 相机透镜系统包括用于将入射辐射聚焦到第一图像传感器和/或第二图像传感器的辐射敏感表面的光学元件,其具有反射望远镜布置和目标跟踪反射镜装置,以及用于可移动元件的驱动装置 目标跟踪镜布置和驱动装置的控制系统。 光学元件包括具有第一焦距并与第一图像传感器相关联的光学元件的第一子组件和具有比第一焦距短并且与第二图像传感器相关联的第二焦距的第二子组件 。