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    • 15. 发明授权
    • Method for assisting a user of a vehicle, control device for a driver-assistance system of a vehicle and vehicle having such a control device
    • 用于辅助车辆用户的方法,具有这种控制装置的车辆和车辆的驾驶员辅助系统的控制装置
    • US08615357B2
    • 2013-12-24
    • US12735365
    • 2008-11-11
    • Stephan Simon
    • Stephan Simon
    • G08G1/16
    • B60W30/16B60T2201/02B60T2201/022B60T2201/08B60T2201/089G08G1/165G08G1/167
    • A method for assisting a user of a vehicle, in which driving-condition variables (v, a, q, ω, n) are sensed or ascertained via sensors of the vehicle, and a camera of the vehicle covers a coverage area of a road scene at least in front of the vehicle and outputs image signals. Based on the image signals, it is determined whether a further vehicle which is outputting blinking signals is in the coverage area. As a function of the ascertained driving-condition variables (v, a, q, ω, n) of the vehicle and as a function of the determination as to whether other vehicles are indicating a change of direction, information signals, particularly warning signals, are able to be output to the user and/or an automatic driver-assistance control is able to be implemented in which control signals for interventions in a vehicle control for a longitudinal control and/or lateral control, especially a distance control, are output. In this context, in each case different possible control interventions are able to be ascertained and carried out. Furthermore, a corresponding control device and the vehicle thereby made possible are provided.
    • 一种用于辅助车辆的用户的方法,其中通过车辆的传感器感测或确定驾驶条件变量(v,a,q,ω,n),并且车辆的照相机覆盖道路的覆盖区域 场景至少在车辆前方输出图像信号。 基于图像信号,确定是否在覆盖区域中输出闪烁信号的另外的车辆。 作为车辆的确定的驾驶条件变量(v,a,q,ω,n)的函数,并且作为关于其他车辆是否指示方向改变的确定的函数的函数,信息信号,特别是警告信号, 能够输出到用户和/或能够实现自动驾驶员辅助控制,其中用于纵向控制和/或横向控制,特别是距离控制的车辆控制中的干预的控制信号被输出。 在这种情况下,在每种情况下,能够确定和执行不同的可能的控制干预措施。 此外,提供了相应的控制装置和由此制成的车辆。
    • 18. 发明申请
    • Method and device for detecting an interfering object in a camera image
    • 用于检测相机图像中的干扰物体的方法和装置
    • US20120008866A1
    • 2012-01-12
    • US13135012
    • 2011-06-22
    • Jad HalimehStephan Simon
    • Jad HalimehStephan Simon
    • G06K9/46G06T5/00
    • G06K9/00791G06T7/0002G06T2207/30168
    • A method for detecting an interfering object in a camera image of a camera image sequence includes: reading in a first pixel data value of a predetermined position in a first camera image obtained at a first point in time, a second pixel data value of the predetermined position in a second camera image obtained at a second point in time after the first point in time, and a third pixel data value of the predetermined position in a third camera image obtained at a third point in time after the second point in time; ascertaining a reference value on the basis of the second pixel data value and a comparison value on the basis of the first pixel data value and/or the third pixel data value; and detecting the interfering object at the predetermined position when the reference value is in a predefined relationship with the comparison value.
    • 一种用于检测相机图像序列的相机图像中的干涉对象的方法包括:读取在第一时间点获得的第一相机图像中的预定位置的第一像素数据值,预定的第二像素数据值 在第一时间点之后的第二时间点获得的第二相机图像中的位置和在第二时间点之后的第三时间点获得的第三相机图像中的预定位置的第三像素数据值; 基于第二像素数据值和基于第一像素数据值和/或第三像素数据值的比较值确定参考值; 以及当所述参考值与所述比较值处于预定关系时,检测所述预定位置处的所述干扰对象。
    • 19. 发明授权
    • Method for evaluation and stabilization over time of classification results
    • 分类结果随时间推移的评估和稳定方法
    • US07796820B2
    • 2010-09-14
    • US10573221
    • 2004-09-03
    • Stephan SimonSebastian LindnerHenning Voelz
    • Stephan SimonSebastian LindnerHenning Voelz
    • G06K9/64
    • G08G1/017G06K9/00771
    • Classification methods are described that proceed in computer-assisted fashion, and in particular a method for evaluation and stabilization over time of classification results is described in which objects to be classified are sensed using sensors over a period of time, and are repeatedly classified with the inclusion of specific quality parameters for each object class. To ensure better classification reliability, the following steps may be carried out: a) increasing the value of the confidence parameter if a subsequent classification confirms the result of a previous classification; b) decreasing the value of the confidence parameter if a subsequent classification does not confirm the result of a previous classification; and c) generating a final classification result including the confidence parameters that have been increased or decreased in value.
    • 描述了以计算机辅助方式进行的分类方法,并且特别地描述了分类结果随时间推移的评估和稳定的方法,其中使用传感器在一段时间内感测要分类的对象,并且被重复地分类为 包含每个对象类的特定质量参数。 为了确保更好的分类可靠性,可以执行以下步骤:a)如果后续分类确认先前分类的结果,则增加置信参数的值; b)如果后续分类未确认先前分类的结果,则降低置信参数的值; 以及c)产生最终分类结果,包括已经增加或减少的置信度参数。