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    • 2. 发明申请
    • TARGET PREDICTION AND COLLISION WARNING SYSTEM
    • 目标预测和碰撞警告系统
    • WO1997001106A1
    • 1997-01-09
    • PCT/US1996010584
    • 1996-06-19
    • AIL SYSTEMS, INC.
    • AIL SYSTEMS, INC.WANG, C., David
    • G01S13/04
    • G01S13/931G01J3/453G01S7/021G01S7/2921G01S7/417G01S13/24G01S13/348G01S13/726G01S17/95G01S2007/2883G01S2013/9375G01S2013/9378G01S2013/9385G06N3/0472G06N3/049Y02A90/19Y10S706/905
    • A target prediction and collision warning system (2) for tracking objects in a region proximate to a vehicle. The system (2) includes a signal transmitter (4) for producing first and second detection signals, a signal receiver (12) for receiving the reflected detection signals corresponding to first and second parameter signals, a Fourier transform circuit (20) for receiving the first and second parameter signals and generating first and second Fourier transform object parameter signals corresponding to relative range and velocity of the target being tracked. The system (2) further preferably includes a probabilistic neural network (28) which sorts the first and second Fourier transform object parameter signals and provides them to a target tracker circuit (30) which generates an output signal indicative of a prediction of regression parameters of a second order or higher order equation that characterizes the change in relative range and velocity of the target being tracked.
    • 一种用于在靠近车辆的区域中跟踪物体的目标预测和碰撞预警系统(2)。 系统(2)包括用于产生第一和第二检测信号的信号发射器(4),用于接收对应于第一和第二参数信号的反射检测信号的信号接收器(12),用于接收 第一和第二参数信号,并产生对应于被跟踪的目标的相对范围和速度的第一和第二傅里叶变换对象参数信号。 系统(2)进一步优选地包括概率神经网络(28),其对第一和第二傅立叶变换对象参数信号进行分类,并将其提供给目标跟踪器电路(30),该目标跟踪器电路产生指示预测回归参数的输出信号 描述正在被跟踪的目标的相对范围和速度的变化的二阶或更高阶方程。
    • 5. 发明申请
    • SITUATION AWARENESS PROCESSOR
    • 情况意识处理者
    • WO0195141A9
    • 2003-02-06
    • PCT/US0118717
    • 2001-06-11
    • AUTOMOTIVE SYSTEMS LAB
    • CONG SHANBEHR LEONARD WEBLING JAMES P
    • G09B29/10G01C21/00G01S13/72G08G1/0969G08G1/16G06F17/00G01C21/26G06G7/76G06G7/78G08G1/04G08G1/0968G08G1/097
    • G01S13/723G06N7/005Y10S706/905
    • A plurality of events (S) representative of a situation in which the host vehicle (16) is operated are selected, including at least one set of related events (S eta ). Input data (ei) is provided to an inference engine from either a first set of data representative of a target (18) in a field of view of the host vehicle (16), a second set of data representative of the position or motion of the host vehicle (16), or a third set of data is representative of an environment (30) of said host vehicle (16). The inference engine operates in accordance with an inference method to generate an output representative of a probability of occurrence of at least one event (S )of the set of events, responsive to the input data (ei), and possibly to one or more outputs (Pk-1) at a past time (k-1). A countermeasure (34) may be invoked responsive to one or more outputs (pk) from one or more inference engines.
    • 选择代表主车辆(16)的操作状况的多个事件(S),其包括至少一组相关事件(S eta)。 输入数据(ei)从主车辆(16)的视野中的表示目标(18)的第一组数据提供给推理机,第二组数据表示主车辆(16)的位置或运动 主车辆(16)或第三组数据代表所述主车辆(16)的环境(30)。 推理机根据推理方法进行操作,以响应于输入数据(ei)产生代表该组事件的至少一个事件(Sλ)的发生概率的输出,并且可能响应于一个 或更多的输出(Pk-1)(k-1)。 可以响应于来自一个或多个推理机的一个或多个输出(pk)来调用对策(34)。
    • 7. 发明申请
    • METHOD AND APPARATUS FOR ADAPTIVE CONTROL OF HUMAN-MACHINE SYSTEMS EMPLOYING DISTURBANCE RESPONSE
    • 人机系统自适应控制的方法与装置应对干扰响应
    • WO1995012171A2
    • 1995-05-04
    • PCT/US1994012179
    • 1994-10-24
    • THE REGENTS OF THE UNIVERSITY OF MICHIGAN
    • THE REGENTS OF THE UNIVERSITY OF MICHIGANBELL, David, A.BELL, Lon, E.LEVINE, SimonKOREN, Yoram
    • G06F17/00
    • B60W40/08A61G5/04A61G2203/14B60W2300/38Y10S180/907Y10S297/04Y10S706/905
    • Adaptive control of a system with a human in the loop is accomplished by sensing human operator reactions to a disturbance in the system and characterizing the operator response to the disturbance. The operator response is characterized in one of several forms by predicting a response based on a model quantifying a response based on statistics or merely measuring a response for accumulation of data to be employed by an artificial intelligent system. The disturbance which provides the human operator reaction, is applied or occurs naturally based on other stimulus and is measured by the system. Quantifying the results of the disturbance and the operator response comparison allows selection of a control mode by identifying one or more categories of reactions response or a graduated modification of the control law employed in the system. Various modes or categories for control of the system incorporate different sensitivities on a macro scale or an entirely different control algorithm. Graduated adaptation alters sensitivity or other perimeters in the system at a micro level incrementally throughout given ranges of control.
    • 通过感测人类操作员对系统中的干扰的反应并表征操作者对干扰的响应来实现对环路中的人的系统的自适应控制。 操作员响应以几种形式之一表征,通过基于基于统计量量化响应的模型来预测响应,或者仅测量人造智能系统将要使用的数据的累积响应。 提供人员操作反应的干扰,以其他刺激为基础自然发生,并由系统测量。 量化干扰的结果和操作者响应比较允许通过识别系统中使用的控制规则的一个或多个类别的反应响应或分级修改来选择控制模式。 用于系统控制的各种模式或类别在宏观尺度或完全不同的控制算法上包含不同的灵敏度。 渐变自适应在给定的控制范围内以微观级别改变系统中的灵敏度或其他周长。
    • 9. 发明申请
    • METHOD OF CONTROLLING THE DRIVE OF A COMPUTER-CONTROLLED CONVEYOR DEVICE
    • 一种用于控制计算机控制搬运设备操作员
    • WO1997019889A1
    • 1997-06-05
    • PCT/EP1996005343
    • 1996-12-02
    • SIEMAG TRANSPLAN GMBHSCHNEIDER, Volker, RainerSCHÜLL, EckhardBEEWEN, Uwe
    • SIEMAG TRANSPLAN GMBH
    • B66F09/07
    • G05B19/19B66F9/07Y10S706/905
    • A method is disclosed of controlling the drive of computer-controlled conveyor devices, in particular crane facilities with lifting winches and a mast on a moving frame on which are mounted shelf operator devices provided with load-carrying means and a lifting platform and comprising a current regulator circuit (7), a drive regulator circuit which includes a speed regulator circuit (6) and a position regulator circuit (5). The proposed method extends the possibilities of intervention where the instantaneous dynamic behaviour of the conveyor device (2) is calculated from an available data tree of a state and disruption monitor-regulator module (8) using available measurement and setting values containing information on the dynamics of the device and based on coefficient-characteristic fields. The latter incorporate structural details and dynamic characteristics of the conveyor device and proceed from a base setting of the variables of the shelf operator device and an iterative approximation algorithm (10) of a regulator module (9) which performs an automatic self-teaching coefficient identification. On the basis of the mathematical equations of the dynamic behaviour, vibrations in the conveyor are actively damped.
    • 一种用于控制的计算机控制,材料处理设备,具有曳引绞车并具有其上设置有桅杆上的底盘框架上特别起重机,设置有负载接收的驱动方法装置起重具有存储平台和检索装置,其包括一电流控制电路(7),一速度控制环包围(6)驱动控制电路 和一位置控制环(5),膨胀干预的可能性,如果包括约系统动力学的状态和Störbeobachterreglermoduls(8),使用现有的测量和控制变量,该信息的一个现有的数据干线输送装置(2)的瞬时动态行为, 和系数特性字段的基础上进行计算,其中,所述映射包括与结构细节或输送装置的动态特性,从所述堆装起重机的所述幅度的基本设置和迭代Schätzalgorit开始 hmus(10)由一个自动自学习系数识别由领先调节器模块(9)确定,并且积极地阻尼输送装置的动态行为的振动的数学方程的基础上。