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    • 1. 发明公开
    • STATE INFERENCE IN A HETEROGENEOUS SYSTEM
    • EINEM异构体系中的ZUSTANDSINTERFERENZ
    • EP2585957A1
    • 2013-05-01
    • EP10853566.7
    • 2010-06-24
    • Valtion Teknillinen Tutkimuskeskus
    • LÖTJÖNEN, JyrkiKOIKKALAINEN, JuhaMATTILA, Jussi
    • G06F19/00G06Q50/00G06F17/18G06Q10/00
    • G06F17/00G06F7/24G06F17/18G06F17/30961G06F19/00G06K9/6253G06K9/6265G06K9/6296G06N7/005G16H50/20G16H50/30
    • The invention relates to inferring the state of a system of interest having a plurality of indicator values and possibly being heterogeneous in nature. A number of indicator values from a control state and from a comparison state are gathered. From these indicator values, classification power between the control and comparison states (measure of goodness) is computed. Difference values are computed for the indicator values from the system of interest based on the difference to the indicator values from control and comparison states. From a number of these indicators, composite indicators are formed, and composite measures of goodness and composite difference values are computed. A plurality of composite indicators may be formed at different levels. These indicators may be represented as a tree and grouped according to content, and at the same time they may be arranged according to the measure of goodness or some other value. The indicators, measures of goodness, and difference values may be visualized and shown to a user, who may use such a representation for inferring the state of the system.
    • 本发明涉及推断具有多个指标值并且本质上可能是异质的感兴趣系统的状态。 收集来自控制状态和比较状态的多个指标值。 根据这些指标值,计算控制和比较状态之间的分类能力(量度)。 基于与控制和比较状态的指标值的差异,根据感兴趣系统的指标值计算差值。 从多项指标出发,形成综合指标,计算出良好和复合差值的综合指标。 多个复合指示器可以形成在不同的水平。 这些指标可以表示为一棵树,并根据内容进行分组,同时它们可以根据善意度量或某种其他价值进行排列。 指标,善意度和差异值可以被可视化并显示给可以使用这样的表示来推断系统的状态的用户。
    • 7. 发明公开
    • A method for road condition recognition
    • Verfahren zur Erkennung desStraßenzustands
    • EP2216659A1
    • 2010-08-11
    • EP09397523.3
    • 2009-09-09
    • VALTION TEKNILLINEN TUTKIMUSKESKUS
    • Viikari, VilleVarpula, Timo
    • G01S7/02G01S7/41G01N22/00
    • G01S7/025G01S7/4004G01S7/41G01S13/88G01S13/931G01S2013/9321G01S2013/9332G01S2013/9357G01S2013/9375G01S2013/9378
    • Automotive radar technology for detecting low-friction spots caused by water, ice or snow on asphalt. Low friction spots can be detected with radar by comparing backscattered signals at different polarizations. Requirements for the radar are considered and 24 GHz radar for road condition recognition is found feasible.
      Automotive radars are expected to increase safety and drivers□comfort by improving drivers□ability to perceive objects in low - visibility conditions or objects hidden in blind spots. It is invented, that automotive radars could also be used for detecting road conditions, such as lowered friction due to water or ice on the road. Currently water and ice is detected with infrared optical sensors which are not cost effective for ordinary passenger cars. The advantage of radar sensors over optical would be that forward looking radars could detect low friction spots from a long range whereas optical sensors detection range is a few meters only. In addition, when using multipurpose radar sensors the total number of sensors is not increased giving also cost benefits.
    • 用于检测沥青上水,冰或雪引起的低摩擦点的汽车雷达技术。 通过比较不同极化的反向散射信号,可以用雷达检测低摩擦点。 考虑到雷达的要求,发现道路状况识别的24 GHz雷达是可行的。 汽车雷达预计会通过改善驾驶员 - 在低能见度条件下隐藏对象或隐藏在盲点中的物体来增加驾驶员的安全性和驾驶员感觉。 发明的是,汽车雷达也可用于检测道路状况,例如由于路面上的水或冰引起的摩擦降低。 目前使用红外光学传感器检测到水和冰,对于普通乘用车而言,这并不具有成本效益。 雷达传感器在光学上的优势将是前瞻性雷达可以从远距离检测低摩擦点,而光学传感器检测范围仅为几米。 另外,当使用多用途雷达传感器时,传感器总数不增加,同时也带来成本效益。