Mobile system and driving method thereof

    公开(公告)号:US07112939B2

    公开(公告)日:2006-09-26

    申请号:US11289077

    申请日:2005-11-29

    IPC分类号: B25J5/00

    CPC分类号: B25J9/162 G05B2219/37435

    摘要: The present invention relates to a mobile system and a moving method of the mobile system. According to the present invention, a natural period is measured from a vibration component signal generated by a force due to acceleration/deceleration of wheels, and the mobile system moves by applying an acceleration profile containing an acceleration period or a deceleration period based on the natural period. Therefore, the acceleration profile based on the natural period is applied such that vibration that is visible to a user is not generated during acceleration and deceleration of the mobile system. As a result, quality of the mobile system is improved.

    APPARATUS AND METHOD FOR DETECTING PERSON
    2.
    发明申请
    APPARATUS AND METHOD FOR DETECTING PERSON 审中-公开
    检测人员的装置和方法

    公开(公告)号:US20100157057A1

    公开(公告)日:2010-06-24

    申请号:US12508176

    申请日:2009-07-23

    IPC分类号: H04N7/18

    CPC分类号: H04N7/18

    摘要: Provided is a person detecting apparatus and method in an intelligent mobile robot. The person detecting apparatus includes a camera, an observation system status input unit, an encoding unit, a decoding unit, and a person detection unit. The camera is mounted on a robot to output image information. The observation system status input unit determines whether the robot or the camera is in motion. The encoding unit receives the image information to output a bit stream including mode information. The decoding unit decodes the bit stream, extracts a block mode value of each macro block, and stores the same in a two-dimensional array. The person detection unit outputs detection information about a moving person using the determination information provided from the observation system status input unit and the block-mode two-dimensional array provided from the decoding unit.

    摘要翻译: 提供了一种智能移动机器人中的人物检测装置和方法。 人物检测装置包括摄像机,观察系统状态输入单元,编码单元,解码单元和人物检测单元。 相机安装在机器人上以输出图像信息。 观察系统状态输入单元确定机器人或相机是否运动。 编码单元接收图像信息以输出包括模式信息的比特流。 解码单元解码比特流,提取每个宏块的块模式值,并将其存储在二维阵列中。 人员检测单元使用从观察系统状态输入单元提供的确定信息和从解码单元提供的块模式二维阵列输出关于移动人物的检测信息。

    Apparatus for moving center of gravity of robot, and system and method using the same
    3.
    发明授权
    Apparatus for moving center of gravity of robot, and system and method using the same 失效
    用于移动机器人重心的装置,以及使用其的系统和方法

    公开(公告)号:US07468592B2

    公开(公告)日:2008-12-23

    申请号:US11633179

    申请日:2006-12-04

    IPC分类号: B25J5/00

    摘要: An apparatus for moving the center of gravity of a robot, and a system and method using the apparatus are provided. The apparatus includes a weight conveyor with a conveyed weight weighing a predetermined amount and disposed within the main body of the robot. The conveyed weight is conveyed in a predetermined direction to move the center of gravity of the robot, thus allowing a non-driven caster of the robot to surmount obstacles in its path and not become stuck while the robot is moving.

    摘要翻译: 提供了一种用于移动机器人的重心的装置,以及使用该装置的系统和方法。 该装置包括具有称重预定量的输送重量并设置在机器人主体内的重量输送机。 传送的重量沿预定方向传送以移动机器人的重心,从而允许机器人的非驱动脚轮在其路径中超越障碍物,并且在机器人移动时不会卡住。

    HUMAN RECOGNITION APPARATUS AND HUMAN RECOGNITION METHOD
    4.
    发明申请
    HUMAN RECOGNITION APPARATUS AND HUMAN RECOGNITION METHOD 有权
    人类识别装置和人类识别方法

    公开(公告)号:US20100070187A1

    公开(公告)日:2010-03-18

    申请号:US12362992

    申请日:2009-01-30

    IPC分类号: G06F19/00

    摘要: Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.

    摘要翻译: 提供了基于步行模式识别用户的人类识别装置和人类识别方法。 人体识别装置包括检测单元,用于根据用户的步行检测振动,并从电信号中输出电信号,图案计算单元获取步行模式;以及用户确定单元,将步行模式与先前测量 用户参考数据,并根据比较结果识别用户。 人类识别装置和人类识别方法对于外围噪声是鲁棒的,并且可以通过使用作为用户识别数据的不需要大量数据吞吐量的一维时间信息的波动模式,通过简单的结构和过程来提高接受率 。

    ROBOT VISION SYSTEM AND DETECTION METHOD
    5.
    发明申请
    ROBOT VISION SYSTEM AND DETECTION METHOD 失效
    机器人视觉系统和检测方法

    公开(公告)号:US20090141938A1

    公开(公告)日:2009-06-04

    申请号:US12265365

    申请日:2008-11-05

    IPC分类号: G06K9/00 H04N11/02 H04N7/18

    摘要: A robot vision system for outputting a disparity map includes a stereo camera for receiving left and right images and outputting a disparity map between the two images; an encoder for encoding either the left image or the right image into a motion compensation-based video bit-stream; and a decoder for extracting an encoding type of an image block, a motion vector, and a DCT coefficient from the video bit-stream. Further, the system includes a person detector for detecting and labeling person blocks in the image using the disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera; and an obstacle detector for detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map.

    摘要翻译: 用于输出视差图的机器人视觉系统包括用于接收左图像和右图像并在两个图像之间输出视差图的立体相机; 用于将左图像或右图像编码为基于运动补偿的视频比特流的编码器; 以及用于从视频比特流中提取图像块的编码类型,运动矢量和DCT系数的解码器。 此外,该系统包括人物检测器,用于使用左图像和右图像之间的视差图,块编码类型和运动矢量来检测和标记图像中的人物块,并且检测从标记的人到 相机; 以及用于检测比使用从视频比特流提取的块编码类型,运动矢量和DCT系数的人和视差图更接近的障碍物的障碍物检测器。

    Stereo vision system and stereo vision processing method
    6.
    发明授权
    Stereo vision system and stereo vision processing method 有权
    立体视觉系统和立体视觉处理方法

    公开(公告)号:US08208716B2

    公开(公告)日:2012-06-26

    申请号:US12203583

    申请日:2008-09-03

    IPC分类号: G06K9/00

    CPC分类号: G06T7/593

    摘要: A stereo vision system includes an image pre-processing unit for pre-processing the right and left images, and a stereo matching unit for carrying out stereo matching of the right and left images to acquire low-resolution distance information of the right and left images and high-resolution distance information of the right and left images upon detection of an object within a distance range through the low-resolution distance information.

    摘要翻译: 立体视觉系统包括用于预处理右图像和左图像的图像预处理单元和用于执行左和右图像的立体匹配的立体匹配单元,以获取右图像和左图像的低分辨率距离信息 以及通过低分辨率距离信息检测距离范围内的对象的左右图像的高分辨率距离信息。

    STEREO VISION SYSTEM AND STEREO VISION PROCESSING METHOD
    7.
    发明申请
    STEREO VISION SYSTEM AND STEREO VISION PROCESSING METHOD 有权
    立体视觉系统和立体视觉处理方法

    公开(公告)号:US20090060280A1

    公开(公告)日:2009-03-05

    申请号:US12203583

    申请日:2008-09-03

    IPC分类号: G06K9/00

    CPC分类号: G06T7/593

    摘要: A stereo vision system includes an image pre-processing unit for pre-processing the right and left images, and a stereo matching unit for carrying out stereo matching of the right and left images to acquire low-resolution distance information of the right and left images and high-resolution distance information of the right and left images upon detection of an object within a distance range through the low-resolution distance information.

    摘要翻译: 立体视觉系统包括用于预处理右图像和左图像的图像预处理单元和用于执行左和右图像的立体匹配的立体匹配单元,以获取右图像和左图像的低分辨率距离信息 以及通过低分辨率距离信息检测距离范围内的对象的左右图像的高分辨率距离信息。

    Device for improving stereo matching results, method of improving stereo matching results using the device, and system for receiving stereo matching results
    8.
    发明授权
    Device for improving stereo matching results, method of improving stereo matching results using the device, and system for receiving stereo matching results 失效
    用于改善立体匹配结果的装置,使用该装置提高立体匹配结果的方法以及用于接收立体匹配结果的系统

    公开(公告)号:US08401280B2

    公开(公告)日:2013-03-19

    申请号:US12971793

    申请日:2010-12-17

    IPC分类号: G06K9/00 G06K9/40

    CPC分类号: G06K9/00

    摘要: Provided is a device for improving stereo matching results. The device for improving stereo matching results includes: a stereo camera unit outputting binocular disparity images by using binocular disparity between two images preprocessed according to a plurality of preprocessing conditions; a discrete cosine transform (DCT) unit generating DCT coefficients by performing DCT on the binocular disparity images; a streak estimation unit receiving the DCT coefficients and estimating amounts of streaks distributed on a screen by using AC coefficients, including streak patterns, of the DCT coefficients; a condition estimation unit estimating a preprocessing condition, corresponding to the smallest amount of streaks of the estimated amounts of streaks, of the plurality of preprocessing conditions, as an optimal condition, and a streak removal unit generating binocular disparity images without the streaks by changing predetermined AC coefficients of the DCT coefficients and performing inverse DCT on the changed DCT coefficients.

    摘要翻译: 提供了一种用于改善立体匹配结果的设备。 用于改善立体匹配结果的装置包括:立体相机单元,通过使用根据多个预处理条件预处理的两个图像之间的双目视差来输出双目视差图像; 离散余弦变换(DCT)单元,通过对双目视差图像执行DCT生成DCT系数; 条纹估计单元,通过使用DCT系数的包括条纹图案的AC系数来接收DCT系数并估计分布在屏幕上的条纹的数量; 条件估计单元,估计对应于多个预处理条件中的条纹的条纹的最小量的预处理条件作为最佳条件,以及条纹去除单元,通过改变预定的条件来生成没有条纹的双目视差图像 对DCT系数的AC系数进行DCT系数的DCT变换。

    Robot vision system and detection method
    9.
    发明授权
    Robot vision system and detection method 失效
    机器人视觉系统及检测方法

    公开(公告)号:US08331617B2

    公开(公告)日:2012-12-11

    申请号:US12265365

    申请日:2008-11-05

    IPC分类号: G06K9/00 G06K9/46

    摘要: A robot vision system for outputting a disparity map includes a stereo camera for receiving left and right images and outputting a disparity map between the two images; an encoder for encoding either the left image or the right image into a motion compensation-based video bit-stream; and a decoder for extracting an encoding type of an image block, a motion vector, and a DCT coefficient from the video bit-stream. Further, the system includes a person detector for detecting and labeling person blocks in the image using the disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera; and an obstacle detector for detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map.

    摘要翻译: 用于输出视差图的机器人视觉系统包括用于接收左图像和右图像并在两个图像之间输出视差图的立体相机; 用于将左图像或右图像编码为基于运动补偿的视频比特流的编码器; 以及用于从视频比特流中提取图像块的编码类型,运动矢量和DCT系数的解码器。 此外,该系统包括人物检测器,用于使用左图像和右图像之间的视差图,块编码类型和运动矢量来检测和标记图像中的人物块,并且检测从标记的人到 相机; 以及用于检测比使用从视频比特流提取的块编码类型,运动矢量和DCT系数的人和视差图更接近的障碍物的障碍物检测器。

    Human recognition apparatus and human recognition method
    10.
    发明授权
    Human recognition apparatus and human recognition method 有权
    人类识别装置和人体识别方法

    公开(公告)号:US08271204B2

    公开(公告)日:2012-09-18

    申请号:US12362992

    申请日:2009-01-30

    IPC分类号: G06F19/00

    摘要: Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.

    摘要翻译: 提供了基于步行模式识别用户的人类识别装置和人类识别方法。 人体识别装置包括检测单元,用于根据用户的步行检测振动,并从电信号中输出电信号,图案计算单元获取步行模式;以及用户确定单元,将步行模式与先前测量 用户参考数据,并根据比较结果识别用户。 人类识别装置和人类识别方法对于外围噪声是鲁棒的,并且可以通过使用作为用户识别数据的不需要大量数据吞吐量的一维时间信息的波动模式,通过简单的结构和过程来提高接受率 。