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    • 3. 发明申请
    • CORRESPONDING POINT SEARCHING METHOD AND DISTANCE DETECTION DEVICE
    • 相应的点搜索方法和距离检测装置
    • US20160358325A1
    • 2016-12-08
    • US15171606
    • 2016-06-02
    • DENSO CORPORATIONTOYOTA SCHOOL FOUNDATION
    • Kazuhisa IshimaruNoriaki ShiraiHossein Tehrani NiknejadSeiichi MitaQiwei XieQian Long
    • G06T7/00G06K9/62G06K9/46
    • G06K9/6215G06K9/00805G06K9/4604G06K9/6202G06T7/593G06T2207/20016
    • A corresponding point searching method searches corresponding points in plural images, acquired by in-vehicle cameras, for each pixel in a reference image by using a predetermined first method, for example, the Viterbi algorithm. The method searches corresponding points in the plural images for each pixel in the reference image by using a predetermined second method, for example, an optical flow method. The method detects whether or not a search accuracy of the corresponding points in each region divided in the reference image obtained by the predetermined first method is not less than a reference value. When not less than the reference value, the method selects the corresponding points obtained by the predetermined first method. When less than the reference value, the searching method selects the corresponding points obtained by the predetermined second method. The searching method provides the corresponding points between the plural images with a high accuracy.
    • 相应的点搜索方法通过使用预定的第一种方法(例如维特比算法)来搜索参考图像中的每个像素的车载相机获取的多个图像中的相应点。 该方法通过使用预定的第二方法(例如光流法)来搜索参考图像中的每个像素的多个图像中的对应点。 该方法检测在通过预定的第一方法获得的参考图像中划分的每个区域中的相应点的搜索精度是否不小于参考值。 当不小于参考值时,该方法选择通过预定的第一种方法获得的相应点。 当小于参考值时,搜索方法选择通过预定的第二方法获得的对应点。 搜索方法以高精度提供多个图像之间的对应点。
    • 4. 发明申请
    • OBJECT RECOGNITION APPARATUS AND NOISE REMOVAL METHOD
    • 对象识别装置和噪声去除方法
    • US20160252617A1
    • 2016-09-01
    • US15055239
    • 2016-02-26
    • DENSO CORPORATIONTOYOTA SCHOOL FOUNDATION
    • Hossein Tehrani NiknejadUtsushi SakaiTakashi OgawaSeiichi MitaQiwei Xie
    • G01S17/02G01S7/497
    • G01S17/42G01S7/4802G01S7/4808G01S17/936
    • In an object recognition apparatus, a range point acquirer irradiates each of irradiation areas arranged in a horizontally and vertically extending grid and forming a detection area for detecting a target with laser light and receives the reflected light from the respective irradiation areas, thereby acquiring a plurality of range points representing per-irradiation area coordinates of the target. A noise remover is configured to, based on either or both of degrees of angle proximity and degrees of distance proximity between a plurality of subject range points to be determined whether to be a noise point, of the plurality of range points, as viewed from a reference point, determine whether or not each of the subject range points is a noise point, and remove the noise point from the plurality of range points. An object recognizer uses the plurality of range points other than the noise points to recognize the object.
    • 在物体识别装置中,范围点获取器照射布置在水平和垂直延伸的格栅中的每个照射区域,并且形成用于用激光检测目标的检测区域,并接收来自各个照射区域的反射光,从而获得多个 表示目标的每个照射区域坐标的范围点。 噪声去除器被配置为基于从多个距离点中观察到的多个距离点之间的角度接近程度和待确定的是否为噪声点的多个被摄体范围点之间的距离接近度的一个或两个 参考点,确定每个对象范围点是否是噪声点,并且从多个范围点去除噪声点。 对象识别器使用除了噪声点以外的多个范围点来识别对象。
    • 6. 发明授权
    • Object identification device
    • 物体识别装置
    • US09367735B2
    • 2016-06-14
    • US14271543
    • 2014-05-07
    • DENSO CORPORATION
    • Kazuhito TakenakaTakashi BandoHossein Tehrani NiknejadMasumi Egawa
    • G06K9/00G06K9/62
    • G06K9/00369G06K9/00805G06K9/629
    • In an object identification device, each score calculator extracts a feature quantity from the image, and calculates a score using the extracted feature quantity and a model of the specified object. The score represents a reliability that the specified object is displayed in the image. A score-vector generator generates a score vector having the scores as elements thereof. A cluster determiner determines, based on previously determined clusters in which the score vector is classifiable, one of the clusters to which the score vector belongs as a target cluster. An object identifier identifies whether the specified object is displayed in the image based on one of the identification conditions. The one of the identification conditions is previously determined for the target cluster determined by the cluster determiner.
    • 在对象识别装置中,每个乐谱计算器从图像中提取特征量,并使用所提取的特征量和指定对象的模型来计算得分。 分数表示指定对象在图像中显示的可靠性。 得分向量生成器生成具有得分作为其分数的分数向量。 集群确定器基于先前确定的分数向量可分类的集群来确定分数矢量所属于的集群之一作为目标集群。 对象标识符基于识别条件之一来识别指定对象是否显示在图像中。 先前确定由群集确定器确定的目标群集的识别条件之一。