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    • 1. 发明授权
    • Obstacle detection device and method therefor
    • 障碍物检测装置及其方法
    • US07132933B2
    • 2006-11-07
    • US11086357
    • 2005-03-23
    • Hiroaki NakaiHiroshi HattoriNobuyuki TakedaKazunori Onoguchi
    • Hiroaki NakaiHiroshi HattoriNobuyuki TakedaKazunori Onoguchi
    • B60Q1/00
    • G06K9/00805G06K9/00651G06K9/00664G06K9/00798G06T7/593G06T7/70G06T7/74G06T2207/10021G06T2207/30261G08G1/165G08G1/166
    • Provided is a technology for helping safe driving and realizing automatic driving of vehicles, or for counting the number of passing vehicles on the road or monitoring those passing vehicles for their driving. Using a plurality of cameras mounted in a vehicle or provided above a road, even if the relationship between the road plane and the respective cameras constantly changes in relative position or posture due to camera vibration or a change in road tilt, any obstacles located on the road such as other vehicles ahead, parked vehicles, and pedestrians on the road are detected without confusing those with textures including white lines, road signs, paint, road stains, and shadows of roadside objects, all of which do not disturb vehicle driving. An obstacle detection device 10 is structured by an image input section 11 for receiving images from a plurality of image pick-up devices 101, a correspondence detection section 12 for finding a plurality of pairs of corresponding points from the received right and left images, the slope degree calculation section 13 for calculating a slope degree of a plane including the corresponding points, and a result determination section 14 for determining as there being an obstacle when the calculated slope degree is larger than a predetermined value.
    • 提供了一种技术,用于帮助驾驶安全驾驶,实现车辆自动驾驶,或计算道路上过往车辆的数量,或者监控那些过往车辆进行驾驶的技术。 使用安装在车辆中或设置在道路上方的多个照相机,即使路面和各个照相机之间的关系由于照相机振动或道路倾斜的变化而不断地在相对位置或姿势上变化,所以位于 检测道路上的其他车辆,停放的车辆和道路上的行人,而不会混淆那些与白线,道路标志,油漆,道路污渍和路边物体的阴影的纹理,这些都不会扰乱车辆行驶。 障碍物检测装置10由图像输入部11构成,用于从多个摄像装置101接收图像,对应检测部12,用于从接收到的左右图像中找到多对对应点, 倾斜度计算部13,用于计算包括对应点的平面的倾斜度;以及结果确定部14,用于当所计算的坡度大于预定值时确定为有障碍物。
    • 6. 发明申请
    • Obstacle detection device and method therefor
    • 障碍物检测装置及其方法
    • US20050169530A1
    • 2005-08-04
    • US11086357
    • 2005-03-23
    • Hiroaki NakaiHiroshi HattoriNobuyuki TakedaKazunori Onoguchi
    • Hiroaki NakaiHiroshi HattoriNobuyuki TakedaKazunori Onoguchi
    • B60R21/00B60R1/00G06K9/00G06T1/00G06T7/00G08G1/00G08G1/04G08G1/16H04N7/18G06K9/46
    • G06K9/00805G06K9/00651G06K9/00664G06K9/00798G06T7/593G06T7/70G06T7/74G06T2207/10021G06T2207/30261G08G1/165G08G1/166
    • Provided is a technology for helping safe driving and realizing automatic driving of vehicles, or for counting the number of passing vehicles on the road or monitoring those passing vehicles for their driving. Using a plurality of cameras mounted in a vehicle or provided above a road, even if the relationship between the road plane and the respective cameras constantly changes in relative position or posture due to camera vibration or a change in road tilt, any obstacles located on the road such as other vehicles ahead, parked vehicles, and pedestrians on the road are detected without confusing those with textures including white lines, road signs, paint, road stains, and shadows of roadside objects, all of which do not disturb vehicle driving. An obstacle detection device 10 is structured by an image input section 11 for receiving images from a plurality of image pick-up devices 101, a correspondence detection section 12 for finding a plurality of pairs of corresponding points from the received right and left images, the slope degree calculation section 13 for calculating a slope degree of a plane including the corresponding points, and a result determination section 14 for determining as there being an obstacle when the calculated slope degree is larger than a predetermined value.
    • 提供了一种技术,用于帮助驾驶安全驾驶,实现车辆自动驾驶,或计算道路上过往车辆的数量,或者监控那些过往的车辆进行驾驶。 使用安装在车辆中或设置在道路上方的多个照相机,即使路面和各个照相机之间的关系由于照相机振动或道路倾斜的变化而不断地在相对位置或姿势上变化,所以位于 检测道路上的其他车辆,停放的车辆和道路上的行人,而不会混淆那些与白线,道路标志,油漆,道路污渍和路边物体的阴影的纹理,这些都不会扰乱车辆行驶。 障碍物检测装置10由图像输入部11构成,用于从多个摄像装置101接收图像,对应检测部12,用于从接收到的左右图像中找到多对对应点, 倾斜度计算部13,用于计算包括对应点的平面的倾斜度;以及结果确定部14,用于当所计算的坡度大于预定值时确定为有障碍物。
    • 7. 发明授权
    • Method and apparatus for automatic adjustment of electron optics system
and astigmatism correction in electron optics device
    • 电子光学装置自动调整方法及装置及散光校正
    • US6067164A
    • 2000-05-23
    • US928662
    • 1997-09-12
    • Kazunori OnoguchiHiroaki Nakai
    • Kazunori OnoguchiHiroaki Nakai
    • G01Q20/04G01Q30/04H01J37/26H01J37/28G01B11/00G01N23/00
    • H01J37/265H01J37/28H01J2237/1501H01J2237/216
    • A scheme for realizing the automatic adjustment of the electron optics system in an electron optics device such as scanning electron microscope, in which a prescribed number of images sequentially obtained by the electron optics device at sequentially adjusted focal points are stored; a moving amount of a sample image in the stored images is calculated; whether an adjustment of the electron optics system of the electron optics device is necessary or not is judged according to the calculated moving amount of the sample image; and the electron optics system of the electron optics device is adjusted according to the moving amount of the sample image when it is judged that the adjustment of the electron optics system of the electron optics device is necessary. A scheme for realizing the astigmatism correction in a charged particle beam optical system of an electron optics device such as scanning electron microscope is also disclosed.
    • 一种用于实现电子光学装置如扫描电子显微镜中的电子光学系统的自动调整的方案,其中存储依次由电子光学装置在顺序调节的焦点上顺序获得的规定数量的图像; 计算所存储的图像中的样本图像的移动量​​; 根据计算出的样本图像的移动量​​判断电子光学装置的电子光学系统的调整是否需要; 并且当判断需要电子光学器件的电子光学系统的调整时,根据样品图像的移动量​​来调整电子光学器件的电子光学系统。 还公开了一种用于在诸如扫描电子显微镜的电子光学器件的带电粒子束光学系统中实现像散校正的方案。
    • 10. 发明授权
    • Recognizing apparatus and recognizing method
    • 识别装置和识别方法
    • US07877334B2
    • 2011-01-25
    • US11896900
    • 2007-09-06
    • Takumi KobayashiHiroaki Nakai
    • Takumi KobayashiHiroaki Nakai
    • G06F15/18
    • G06K9/6256G06K9/6287
    • A recognizing apparatus includes a training vector input unit configured to enter training vectors for training, a weak classifier generator configured to obtain weak classifiers based on the value of an element of a dimension common to the training vectors using a learning method, a classifier integrator configured to obtain non-linear mappings for each dimension of the training vectors by combining the weak classifiers, a test vector input unit configured to input a test vector to be classified, a non-linear transformer configured to a transformed vector by transforming the values of the elements of the test vector using the respective non-linear mappings, and a score calculator configured to obtain a classification score by summing the value of the respective elements of the transformed vector and recognize the test vector using the classification score.
    • 识别装置包括被配置为输入用于训练的训练向量的训练矢量输入单元,被配置为基于使用学习方法对训练矢量共有的维度的元素的值来获得弱分类器的弱分类器生成器,分类器积分器 通过组合弱分类器来获得训练向量的每个维度的非线性映射,被配置为输入要分类的测试向量的测试向量输入单元,通过将所分配的值转换成变换矢量的非线性变换器 使用各自的非线性映射的测试矢量的元素,以及分数计算器,被配置为通过将变换矢量的各个元素的值相加来获得分类分数,并使用分类分数来识别测试向量。