MOBILE ROBOT HAVING FRICTION COEFFICIENT ESTIMATION FUNCTION AND FRICTION COEFFICIENT ESTIMATION METHOD
    12.
    发明申请
    MOBILE ROBOT HAVING FRICTION COEFFICIENT ESTIMATION FUNCTION AND FRICTION COEFFICIENT ESTIMATION METHOD 有权
    具有摩擦系数估计函数和摩擦系数估计方法的移动机器人

    公开(公告)号:US20150019103A1

    公开(公告)日:2015-01-15

    申请号:US14187924

    申请日:2014-02-24

    Abstract: A mobile robot configured to move on a ground. The mobile robot including a contact angle estimation unit estimating contact angles between wheels of the mobile robot and the ground and uncertainties associated with the contact angles, a traction force estimation unit estimating traction forces applied to the wheels and traction force uncertainties, a normal force estimation unit estimating normal forces applied to the wheels and normal force uncertainties, a friction coefficient estimation unit estimating friction coefficients between the wheels and the ground, a friction coefficient uncertainty estimation unit estimating friction coefficient uncertainties, and a controller determining the maximum friction coefficient from among the friction coefficients such that the maximum friction coefficient has an uncertainty less than a threshold and at a point of time when the torque applied to each of the wheels changes from an increasing state to a decreasing state, among the estimated friction coefficients.

    Abstract translation: 配置为在地面上移动的移动机器人。 移动机器人包括估计移动机器人的车轮与地面之间的接触角的接触角估计单元以及与接触角相关的不确定性,牵引力估计单元估计施加到车轮的牵引力和牵引力不确定性,法向力估计 估计施加到车轮的法向力和法向力不确定度的摩擦系数估计单元,估计车轮与地面之间的摩擦系数的摩擦系数估计单元,估计摩擦系数不确定性的摩擦系数不确定度估计单元,以及从摩擦系数估计单元 摩擦系数使得最大摩擦系数具有小于阈值的不确定度,并且在施加到每个车轮的转矩从估计摩擦系数中的增加状态改变到减小状态的时间点。

    IMAGE PROCESSING APPARATUS AND METHOD THEREOF
    13.
    发明申请
    IMAGE PROCESSING APPARATUS AND METHOD THEREOF 有权
    图像处理装置及其方法

    公开(公告)号:US20130243337A1

    公开(公告)日:2013-09-19

    申请号:US13845889

    申请日:2013-03-18

    CPC classification number: G06K9/46 G06K9/00201 G06K9/00362

    Abstract: An image processing apparatus for searching for a feature point by use of a depth image and a method thereof are provided. The image processing apparatus includes an input unit configured to input a three-dimensional image having depth information, a feature point extraction unit configured to obtain a designated point from an object image extracted from the depth image to obtain a feature point that is located at a substantially farthest distance from the designated point, and to obtain other feature points that are located at substantially farthest distances from feature points that are previously obtained as well as the designated point. The apparatus includes a control unit configured to control the input unit and the feature point extraction unit so that time in estimating a structure of the object is reduced, and a recognition result is enhanced.

    Abstract translation: 提供了一种通过使用深度图像来搜索特征点的图像处理装置及其方法。 图像处理装置包括:输入单元,被配置为输入具有深度信息的三维图像;特征点提取单元,被配置为从从深度图像提取的对象图像中获取指定点,以获得位于 距离指定点基本上最远的距离,并且获得位于距先前获得的特征点基本上最远的距离以及指定点的其他特征点。 该装置包括:控制单元,被配置为控制输入单元和特征点提取单元,从而减少估计对象结构的时间,增强识别结果。

    METHOD AND APPARATUS FOR POSE RECOGNITION
    14.
    发明申请
    METHOD AND APPARATUS FOR POSE RECOGNITION 审中-公开
    用于识别的方法和装置

    公开(公告)号:US20130238295A1

    公开(公告)日:2013-09-12

    申请号:US13785396

    申请日:2013-03-05

    Abstract: An apparatus and a method for pose recognition, the method for pose recognition including generating a model of a human body in a virtual space, predicting a next pose of the model of the human body based on a state vector having an angle and an angular velocity of each part of the human body as a state variable, predicting a depth image about the predicted pose, and recognizing a pose of a human in a depth image captured in practice, based on a similarity between the predicted depth image and the depth image captured in practice, wherein the next pose is predicted based on the state vector having an angular velocity as a state variable, thereby reducing the number of pose samples to be generated and improving the pose recognition speed.

    Abstract translation: 一种用于姿势识别的装置和方法,所述姿态识别方法包括在虚拟空间中生成人体的模型,基于具有角度和角速度的状态向量来预测人体的模型的下一姿态 根据所预测的深度图像和所拍摄的深度图像之间的相似度,预测人体的每个部分作为状态变量,预测关于预测姿态的深度图像,以及在实际捕获的深度图像中识别人的姿态 在实践中,其中基于具有作为状态变量的角速度的状态矢量来预测下一个姿势,从而减少要产生的姿势样本的数量并提高姿势识别速度。

    ENDOSCOPE SYSTEM AND CONTROL METHOD THEREOF
    18.
    发明申请
    ENDOSCOPE SYSTEM AND CONTROL METHOD THEREOF 审中-公开
    内窥镜系统及其控制方法

    公开(公告)号:US20140243596A1

    公开(公告)日:2014-08-28

    申请号:US14134415

    申请日:2013-12-19

    Abstract: Disclosed herein are an endoscope system and a control method thereof. The control method includes acquiring plural omnidirectional images of the surroundings of an endoscope using a stereo omnidirectional camera mounted on the endoscope, calculating distances between the endoscope and an object around the endoscope using the acquired plural omnidirectional images, and executing an operation to avoid collision between the endoscope and the object around the endoscope based on the calculated distances, thus facilitating safe operation of the endoscope.

    Abstract translation: 这里公开了一种内窥镜系统及其控制方法。 所述控制方法包括使用安装在所述内窥镜上的立体全向摄像机来获取内窥镜周围的多个全向图像,使用所获取的多个全向图像计算所述内窥镜与所述内窥镜周围的物体之间的距离,并执行操作以避免 内窥镜和内窥镜周围的物体,从而便于内窥镜的安全操作。

    MOBILE APPARATUS AND METHOD FOR CONTROLLING THE SAME
    19.
    发明申请
    MOBILE APPARATUS AND METHOD FOR CONTROLLING THE SAME 有权
    移动装置及其控制方法

    公开(公告)号:US20130089235A1

    公开(公告)日:2013-04-11

    申请号:US13645860

    申请日:2012-10-05

    CPC classification number: G06K9/00664 G06K9/4671

    Abstract: A method of controlling a mobile apparatus includes acquiring a first original image and a second original image, extracting a first feature point of the first original image and a second feature point of the second original image, generating a first blurring image and a second blurring image by blurring the first original image and the second original image, respectively, calculating a similarity between at least two images of the first original image, the second original image, the first blurring image, and the second blurring image, determining a change in scale of the second original image based on the calculated similarity, and controlling at least one of an object recognition and a position recognition by matching the second feature point of the second original image to the first feature point of the first original image based on the change in scale.

    Abstract translation: 一种控制移动装置的方法包括获取第一原始图像和第二原始图像,提取第一原始图像的第一特征点和第二原始图像的第二特征点,生成第一模糊图像和第二模糊图像 通过分别模糊第一原始图像和第二原始图像,计算第一原始图像,第二原始图像,第一模糊图像和第二模糊图像的至少两个图像之间的相似度,确定第一原始图像和第二原始图像的尺度变化 基于所计算出的相似度的第二原始图像,并且基于尺度变化将第二原始图像的第二特征点与第一原始图像的第一特征点进行匹配来控制对象识别和位置识别中的至少一个 。

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