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    Method for observation of a person in an industrial environment
    1.
    发明授权
    Method for observation of a person in an industrial environment 有权
    在工业环境中观察人的方法

    公开(公告)号：US08154590B2

    公开(公告)日：2012-04-10

    申请号：US12362745

    申请日：2009-01-30

    申请人： Ulrich Kressel ,  Lars Krueger ,  Werner Progscha ,  Christian Woehler ,  Franz Kummert ,  Joachim Schmidt ,  Rainer Ott ,  Gerhard Sagerer

    发明人： Ulrich Kressel ,  Lars Krueger ,  Werner Progscha ,  Christian Woehler ,  Franz Kummert ,  Joachim Schmidt ,  Rainer Ott ,  Gerhard Sagerer

    IPC分类号： G06K9/00

    CPC分类号： F16P3/142 ,  G05B2219/40202 ,  G06K9/00201 ,  G06K9/00342

    摘要： A method for observing a person in an industrial environment using a multicamera system to acquire image data about the position and alignment of a person, including a person's body parts. These image data are then examined with regard to the imaging of a person so that whenever a person has been detected in the image data, an articulated virtual 3D model of the human body is matched to this person hypothesis. Subsequently, this virtual body model is continuously matched to the movement behavior of the person detected in the image data. A hazard potential is determined using knowledge of the position and the movement behavior of the virtual body model in space. The hazard potential thus determined is subjected to a threshold value comparison in order to act upon the movement control of the machine or the machine part in the event of this threshold value being exceeded.

    摘要翻译： 一种使用多摄像系统观察工业环境中的人的方法，用于获取关于包括人体部分在内的人的位置和位置的图像数据。 然后，关于人的成像检查这些图像数据，使得每当在图像数据中检测到人时，将人体的关节虚拟3D模型与该人假设相匹配。 随后，该虚拟身体模型与图像数据中检测到的人的运动行为连续匹配。 使用空间中的虚拟身体模型的位置和运动行为的知识来确定危险潜力。 如此确定的危险潜力经受阈值比较，以便在超过该阈值的情况下对机器或机器部件的移动控制起作用。

    METHOD AND DEVICE FOR IDENTIFYING TRAFFIC-RELEVANT INFORMATION
    2.
    发明申请
    METHOD AND DEVICE FOR IDENTIFYING TRAFFIC-RELEVANT INFORMATION 有权
    用于识别交通相关信息的方法和装置

    公开(公告)号：US20100241605A1

    公开(公告)日：2010-09-23

    申请号：US12601062

    申请日：2008-05-16

    申请人： Stephan Groitzsch ,  Matthias Schorn ,  Thomas Fechner ,  Ulrich Kressel

    发明人： Stephan Groitzsch ,  Matthias Schorn ,  Thomas Fechner ,  Ulrich Kressel

    IPC分类号： G06N5/02 ,  G01C21/26 ,  G08G1/0967

    CPC分类号： G01C21/26 ,  G06K9/00818 ,  G08G1/163

    摘要： A device is arranged to carry out a method for identifying traffic-relevant information in a moving vehicle, wherein image data of a visual sensor and map data of a navigation system are each pre-evaluated for the identification and the results of the pre-evaluation are combined and interpreted. The image and map data is scanned for traffic-relevant information and compacted to relevant image and map data in a first and second scene interpretations, and the relevant image and map data is supplied to a rule engine and to a state machine for interpreting the image and map data. The rule engine evaluates the image and map data and transmits an action to be executed to the state machine which carries out a transition in its state space including pre-defined states and outputs information which is assigned to the state or to the transition.

    摘要翻译： 一种装置被设置为执行用于识别移动车辆中的交通相关信息的方法，其中每个预先评估导航系统的视觉传感器和地图数据的图像数据以用于识别和预评估的结果 被组合和解释。 扫描图像和地图数据以获取交通相关信息，并将其压缩成相关图像并在第一和第二场景解释中映射数据，并将相关图像和地图数据提供给规则引擎和用于解释图像的状态机 和地图数据。 规则引擎对图像和地图数据进行评估，并将要执行的动作发送到状态机，该状态机在包括预定义状态的状态空间中进行转换，并输出分配给该状态或转移的信息。

    Method and device for identifying traffic-relevant information
    3.
    发明授权
    Method and device for identifying traffic-relevant information 有权
    用于识别交通相关信息的方法和设备

    公开(公告)号：US08346706B2

    公开(公告)日：2013-01-01

    申请号：US12601062

    申请日：2008-05-16

    申请人： Stephan Groitzsch ,  Matthias Schorn ,  Thomas Fechner ,  Ulrich Kressel

    发明人： Stephan Groitzsch ,  Matthias Schorn ,  Thomas Fechner ,  Ulrich Kressel

    IPC分类号： G06N5/02 ,  G01C21/26 ,  G08G1/0967

    CPC分类号： G01C21/26 ,  G06K9/00818 ,  G08G1/163

    摘要： A device is arranged to carry out a method for identifying traffic-relevant information in a moving vehicle, wherein image data of a visual sensor and map data of a navigation system are each pre-evaluated for the identification and the results of the pre-evaluation are combined and interpreted. The image and map data is scanned for traffic-relevant information and compacted to relevant image and map data in a first and second scene interpretations, and the relevant image and map data is supplied to a rule engine and to a state machine for interpreting the image and map data. The rule engine evaluates the image and map data and transmits an action to be executed to the state machine which carries out a transition in its state space including pre-defined states and outputs information which is assigned to the state or to the transition.

    摘要翻译： 一种装置被设置为执行用于识别移动车辆中的交通相关信息的方法，其中每个预先评估导航系统的视觉传感器和地图数据的图像数据以用于识别和预评估的结果 被组合和解释。 扫描图像和地图数据以获取交通相关信息，并将其压缩成相关图像并在第一和第二场景解释中映射数据，并将相关图像和地图数据提供给规则引擎和用于解释图像的状态机 和地图数据。 规则引擎对图像和地图数据进行评估，并将要执行的动作发送到状态机，该状态机在包括预定义状态的状态空间中进行转换，并输出分配给该状态或转移的信息。

    METHOD FOR OBSERVATION OF A PERSON IN AN INDUSTRIAL ENVIRONMENT
    4.
    发明申请
    METHOD FOR OBSERVATION OF A PERSON IN AN INDUSTRIAL ENVIRONMENT 有权
    在工业环境中观察人的方法

    公开(公告)号：US20090237499A1

    公开(公告)日：2009-09-24

    申请号：US12362745

    申请日：2009-01-30

    申请人： Ulrich Kressel ,  Lars Krueger ,  Werner Progscha ,  Christian Woehler ,  Franz Kummert ,  Joachim Schmidt ,  Rainer Ott

    发明人： Ulrich Kressel ,  Lars Krueger ,  Werner Progscha ,  Christian Woehler ,  Franz Kummert ,  Joachim Schmidt ,  Rainer Ott

    IPC分类号： H04N7/18

    CPC分类号： F16P3/142 ,  G05B2219/40202 ,  G06K9/00201 ,  G06K9/00342

    摘要： Manufacturing processes profit greatly from a close collaboration between human and machine. Whereas a human behaves flexibly and adaptively but is inclined to make mistakes during repetitive work operations, machines operate quickly and exactly but are static and not very flexible. In order to enable an improved hazard protection in the context of a safe human-machine interaction, a spatial- and time-dependent variable degree of hazard is allocated to monitored spatial areas as a function of the current position and the current movement state of a machine or a machine element, as well as of the observed person. For this purpose, a multicamera system is used to acquire image data of the person in order to obtain the most detailed information possible about the position and alignment of a person, in particular also with reference to the body parts thereof, in an industrial environment. These image data are then examined with regard to the imaging of a person so that whenever a person has been detected in the image data, an articulated virtual 3D model of the human body is matched to this person hypothesis. Subsequently, this virtual body model is continuously matched to the movement behavior of the person detected in the image data. A hazard potential is determined using knowledge of the position and the movement behavior of the virtual body model in space. The hazard potential thus determined is subjected to a threshold value comparison in order to act upon the movement control of the machine or the machine part in the event of this threshold value being exceeded.

    摘要翻译： 制造流程从人与机器之间的密切合作中获益良多。 虽然人类的行为灵活自适，但倾向于在重复的作业过程中发生错误，机器运行速度快，但静止而且不是很灵活。 为了在安全的人机交互的背景下实现改进的危害保护，将空间和时间依赖的可变危险程度分配给监视的空间区域作为当前位置和当前运动状态的函数 机器或机器元件，以及观察者。 为此目的，使用多面体系统来获取人的图像数据，以便在工业环境中获得关于人的位置和排列的最详细信息，特别是参考其身体部分。 然后，关于人的成像检查这些图像数据，使得每当在图像数据中检测到人时，将人体的关节虚拟3D模型与该人假设相匹配。 随后，该虚拟身体模型与图像数据中检测到的人的运动行为连续匹配。 使用空间中的虚拟身体模型的位置和运动行为的知识来确定危险潜力。 如此确定的危险潜力经受阈值比较，以便在超过该阈值的情况下对机器或机器部件的移动控制起作用。

    Classification system with reject class
    6.
    发明授权
    Classification system with reject class 失效
    分类系统与拒绝类

    公开(公告)号：US06690829B1

    公开(公告)日：2004-02-10

    申请号：US09654694

    申请日：2000-09-05

    申请人： Ulrich Kressel ,  Frank Lindner ,  Christian Wöhler

    发明人： Ulrich Kressel ,  Frank Lindner ,  Christian Wöhler

    IPC分类号： G06K962

    CPC分类号： G06K9/6273 ,  G06K9/00818 ,  G08G1/015

    摘要： A process for the processing of signals by which signal S is optimally verified for association with objects of a desired class Zk (wherein (with 1

    摘要翻译： 用于处理信号的过程，通过该信号处理信号S被最佳地验证以与期望类Zk的对象相关联（其中（其中（1≤k≤=不同类别的数量）并且与不期望的对象不同）一个或多个类ZA 不需要的对象，除此之外，作为附加类，定义了拒绝类别R，所有信号被分配给哪个不能被清楚地分配给类别Zk或ZA中的一个。这里将信号S分配给 拒绝类R是输出值Preject与由分类算法提供的可调阈值t的比较。