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    • 71. 发明公开
    • 카메라와 표식을 이용한 이동 로봇의 측위 시스템 및 방법
    • 基于相机和地名的移动机器人的本地化系统及其方法
    • KR1020070061079A
    • 2007-06-13
    • KR1020060043109
    • 2006-05-12
    • 한국전자통신연구원
    • 채희성유원필이재영조영조
    • B25J13/08G05D1/02G05D3/00
    • A localization system and method of a mobile robot using a camera and a mark are provided to automatically calculate the distance between nodes to create a topology map by using a newly installed mark as a node. A localization system of a mobile robot using a camera and a mark includes n marks(200), a camera(110), a mark detector(120), a robot location detector(130), a mark location estimating part(140), a topology map creator(150), and a robot controller(160). The n marks have a wireless communication function. The camera photographs the marks. The mark detector detects at least two of the marks. The robot location detector calculates the location of a mobile robot(100) by using the detected marks. The mark location estimating part calculates the location of a new mark on absolute coordinates. The topology map creator creates a topology map of the mobile robot by using the calculated location of the new mark. The robot controller controls traveling of the mobile robot by using the topology map.
    • 提供使用相机和标记的移动机器人的定位系统和方法,以通过使用新安装的标记作为节点来自动计算节点之间的距离以创建拓扑图。 使用相机和标记的移动机器人的定位系统包括n个标记(200),照相机(110),标记检测器(120),机器人位置检测器(130),标记位置估计部分(140) 拓扑图创建器(150)和机器人控制器(160)。 n标记具有无线通信功能。 相机拍摄标记。 标记检测器检测至少两个标记。 机器人位置检测器通过使用检测到的标记来计算移动机器人(100)的位置。 标记位置估计部分计算绝对坐标上新标记的位置。 拓扑图创建者通过使用新标记的计算位置创建移动机器人的拓扑图。 机器人控制器通过使用拓扑图控制移动机器人的行进。
    • 72. 发明授权
    • 인공표식 기반의 실시간 위치산출 시스템 및 방법
    • 用于实时计算位置的系统和方法
    • KR100669250B1
    • 2007-01-16
    • KR1020050103285
    • 2005-10-31
    • 한국전자통신연구원
    • 이재영채희성유원필조영조
    • B25J9/10B25J13/08B25J5/00
    • G01S5/16G01S1/70G05D1/0246
    • A system and a method for artificial target-based real time location calculation are provided to calculate the location of a robot regardless of the traveling state of the robot. A system comprises an image processing module(3), a location calculation module(4), and a target discriminating module(6). The image processing module detects image coordinates of the artificial target serving as a target of a light source for emitting light of a specific wavelength having a specific identification from the image signal acquired by photographing the artificial target arranged in a specific space. The location calculation module calculates the present location by matching the detected image coordinates of the artificial target and pre-stored space coordinates of the artificial target. The target discriminating module performs artificial target tracking and image coordinate estimation, and compares the estimated image coordinates and the detected image coordinates, and updates the present location position by selectively using the image coordinate estimation for discriminating artificial targets.
    • 提供了一种用于人造目标的实时位置计算的系统和方法,用于计算机器人的位置,而不管机器人的行进状态如何。 系统包括图像处理模块(3),位置计算模块(4)和目标识别模块(6)。 图像处理模块从通过拍摄布置在特定空间中的人造目标获取的图像信号中检测用作用于发射具有特定识别的特定波长的光的光源的目标的人造对象的图像坐标。 位置计算模块通过匹配检测到的人造目标的图像坐标和人造目标的预先存储的空间坐标来计算当前位置。 目标识别模块进行人工目标跟踪和图像坐标估计,并且比较估计的图像坐标和检测到的图像坐标,并且通过选择性地使用用于鉴别人为目标的图像坐标估计来更新当前位置位置。
    • 74. 发明公开
    • 디지털 카메라의 렌즈 왜곡 보정과 정사영상 생성방법 및이를 이용한 디지털 카메라
    • 使用相同方法校正镜头畸变和产生正交相机和数码相机
    • KR1020040053877A
    • 2004-06-25
    • KR1020020080336
    • 2002-12-16
    • 한국전자통신연구원
    • 유원필이형구정연구김계경지수영조수현박상규
    • H04N5/225
    • H04N5/23216H04N5/23229H04N5/238
    • PURPOSE: A method for correcting lens distortion and producing orthoimage and a digital camera by using the same are provided to produce the orthoimage from the planar pattern photographed by the digital camera taking an arbitrary rotational angle after processing the lens distortion correction by using automatically computed camera's relative rotational angle information to a plane. CONSTITUTION: A camera parameter previously obtained through a camera calibration(901) is stored to the inside of a digital camera(910). An image(911) obtained by a user(902) is passed through a lens distortion correction module(912). An image in which a radial lens distortion is corrected is transmitted to an orthoimage generation module(913). An image which is composed again in the orthoimage generation module(913) is inputted to a pattern recognition module(914). Information extraction and pattern recognition processes are performed by the pattern recognition module(914) and then transmitted to a display(903) and a user(902) through a communication module(915).
    • 目的:提供一种用于通过使用它来校正透镜畸变并产生正射影像和数字照相机的方法,以便通过使用自动计算的相机的处理透镜畸变校正后的数字照相机拍摄的任意旋转角拍摄的平面图案产生正射影像 相对旋转角度信息到平面。 构成:先前通过摄像机校准获得的摄像机参数(901)被存储到数字照相机(910)的内部。 由用户(902)获得的图像(911)通过透镜畸变校正模块(912)。 校正径向透镜畸变的图像被发送到正射图像生成模块(913)。 在正射图像生成模块(913)中再次组合的图像被输入到图案识别模块(914)。 信息提取和模式识别处理由模式识别模块(914)执行,然后通过通信模块(915)发送到显示器(903)和用户(902)。
    • 75. 发明公开
    • 영상 기반 렌즈 왜곡 보정 장치 및 방법
    • 基于图像的镜头失真校正装置及其方法
    • KR1020040022348A
    • 2004-03-12
    • KR1020020053623
    • 2002-09-05
    • 한국전자통신연구원
    • 유원필이형구김계경지수영조수현정연구
    • H04N5/225
    • H04N5/225G03B21/142H04N5/205
    • PURPOSE: An image-based lens distortion correcting apparatus and a method therefor are provided to reduce the quantity of calculations in an image analysis procedure. CONSTITUTION: An image is received(401), one-dimensional image pixels are extracted from the image(402), and a coordinate value of each of the pixels is recorded(403). One-dimensional pixel sampling is performed for the image(404), straight lines in a radial direction are obtained on the basis of the center of the image. Pixels intersect the straight lines are stored in an one-dimensional image arrangement(405). A point at which a range of a lens distortion parameter of the image becomes the maximum is found, and the range is divided into intervals to increase the lens distortion parameter. A luminance value of pixel coordinate values after a distortion of the image is corrected by increasing the lens distortion parameter is obtained through inverse spatial mapping. A sampling angle for the entire image is increased. The one-dimensional image arrangement is split into records(407), and the lens distortion parameter having the smallest representative value is set as a lens distortion parameter(409). A distortion-corrected resultant image is obtained from the original image using the lens distortion parameter and provided to a thumbnail image display(410).
    • 目的:提供一种基于图像的镜头畸变校正装置及其方法,以减少图像分析程序中的计算量。 构成:接收图像(401),从图像(402)提取一维图像像素,并记录每个像素的坐标值(403)。 对图像(404)执行一维像素采样,基于图像的中心获得径向的直线。 与直线相交的像素被存储在一维图像排列(405)中。 找到图像的透镜失真参数的范围变为最大的点,并且将该范围划分为间隔以增加透镜失真参数。 通过增加透镜失真参数来校正图像失真后的像素坐标值的亮度值,通过逆空间映射获得。 整个图像的采样角度增加。 将一维图像排列分割为记录(407),将具有最小代表值的透镜失真参数设置为透镜失真参数(409)。 使用透镜失真参数从原始图像获得失真校正的合成图像,并提供给缩略图图像显示(410)。
    • 77. 发明公开
    • 휴리스틱 함수의 학습을 이용한 고속 경로를 탐색을 위한 장치 및 그 방법
    • 通过学习光学功能快速寻找方法的方法及其方法
    • KR1020130108898A
    • 2013-10-07
    • KR1020120030730
    • 2012-03-26
    • 한국전자통신연구원
    • 최성록채희성유원필
    • G05D1/12G05D1/02
    • G01C21/3446
    • PURPOSE: A device and a method of searching a fast path using learned heuristic function to quickly search a path by using a heuristic group for a path search process. CONSTITUTION: An input unit (120) is asked to search a path to the destination by receiving the current location information and the destination information from a user. A location identifier (110) obtains the current location information of the user when the path search is requested. A control unit (130) searches the path from a start node corresponding to the current location information to a destination node corresponding to the destination information on a map by using a heuristic evaluation function. [Reference numerals] (110) Location identifier; (120) Input unit; (130) Control unit; (140) Learning unit; (150) Storage unit
    • 目的:使用学习的启发式函数搜索快速路径的设备和方法,通过使用启发式组进行路径搜索过程来快速搜索路径。 构成:通过从用户接收当前位置信息和目的地信息,要求输入单元(120)搜索到目的地的路径。 当请求路径搜索时,位置标识符(110)获得用户的当前位置信息。 控制单元(130)通过使用启发式评估函数从与当前位置信息相对应的开始节点的路径中搜索与地图上的目的地信息相对应的目的地节点。 (附图标记)(110)位置标识符; (120)输入单元; (130)控制单元; (140)学习单位; (150)存储单元
    • 78. 发明公开
    • 영상에서 물체 검출 장치 및 방법
    • 用于检测图像中对象的装置和方法
    • KR1020130036514A
    • 2013-04-12
    • KR1020110100635
    • 2011-10-04
    • 한국전자통신연구원
    • 정지훈유상원이재영최성록유원필박승환크리스티안이유철
    • G06T7/00G06T5/00G06K9/00
    • G06K9/4671G06K9/00805G06T5/005G06T7/11G06T7/174G06T7/194G06T2207/10048G06T2207/20224G06T2207/30236G06T7/155G06T7/337G06T7/543
    • PURPOSE: An object detection device in an image and a method thereof are provided to divide an object area in an original image by using a thermal image for the image, thereby detecting an object. CONSTITUTION: An object detection unit(102) detects an object from an input image by using a thermal image. A restoration unit(106) restores an in-painting area by using surroundings information of the in-painting area set in an in-painting area setting unit(104) in the input image. A similarity comparison unit(108) determines whether or not the object is existed in the input image through similarity comparison of a restoration image and the input image. When the object is existed, an object area division unit(110) extracts an area of the object. [Reference numerals] (102) Object detection unit; (104) In-painting area setting unit; (106) Restoration unit; (108) Similarity comparison unit; (110) Object area division unit; (AA) Obtained image; (BB) Division result of an object area;
    • 目的:提供图像中的物体检测装置及其方法,通过使用图像的热图像来分割原始图像中的对象区域,从而检测对象。 构成:物体检测单元(102)通过使用热图像从输入图像检测物体。 恢复单元(106)通过使用设置在输入图像中的在画区域设置单元(104)中的绘画区域的环境信息来恢复绘画区域。 相似度比较单元(108)通过恢复图像和输入图像的相似性比较来确定输入图像中是否存在对象。 当对象存在时,对象区域分割单元(110)提取对象的区域。 (附图标记)(102)对象检测单元; (104)绘画区设定单位; (106)修复单位; (108)相似性比较单位; (110)对象区划单位; (AA)获取图像; (BB)对象区域的分割结果;
    • 79. 发明授权
    • 영상기반 자연표식물 지도 작성 장치
    • 基于VISION NATURAL LANDMARK的快速地图建筑设备
    • KR101141601B1
    • 2012-05-17
    • KR1020090031365
    • 2009-04-10
    • 한국전자통신연구원
    • 이유철박승환유원필
    • G06F19/00G06Q50/10G01C15/00
    • 본 발명은 영상기반 자연표식물 지도 작성 장치 및 그 방법에 관한 것으로, 바퀴의 회전수로 위치를 산출하고, 레이저 센서를 통해 거리정보를 측정하며, 비전 센서를 통해 자연표식물을 추출하여 이동로봇의 위치추정 기술에 활용하기 위한 지도를 작성함으로써, 공공시설, 병원, 공장 등에서 이동로봇을 포함한 이동체가 주위 환경을 인식하기 위한 영상 기반 자연표식물을 신속하고 정확하게 작성할 수 있다. 또한, 본 발명은 영상기반 자연표식물 지도 작성 장치 및 그 방법을 제공함으로써, 사용자가 카트 형태의 이동체를 끌고 다니면서 물리적 치수에 기반한 지도와 영상에 기반한 자연표식물 지도를 작성하여 이동체에 제공할 수 있어 영상 기반 자연표식물 지도를 구축하는데 소요되는 시간을 절약할 수 있으며, 이동 로봇과 같은 이동체의 정확한 위치를 추정하는데 활용될 수 있는 이점이 있다.
      지도 작성, 자연표식물, 비전 센서, 이동로봇
    • 80. 发明公开
    • 로봇의 위치 인식 방법 및 장치
    • 提供机器人位置的方法和装置
    • KR1020110070004A
    • 2011-06-24
    • KR1020090126634
    • 2009-12-18
    • 한국전자통신연구원에스케이텔레콤 주식회사
    • 정지훈이재영유상원유원필
    • B25J13/08G05D1/02
    • B25J9/1653B25J9/1664
    • PURPOSE: A self positioning method and apparatus of a robot are provided to enable more accurate self positioning of a robot by recognizing pillars of a structure as feature points, not obstacles. CONSTITUTION: A self positioning method of a robot is as follows. Data about the coordinates and radius of pillars based on a global coordinate system are set as input(S200). LRF(Laser Range Finder) data based on a robot coordinate system are set as input(S202). Segmentation is implemented using the distance and angle between two or more LRF data. Segment filtering is implemented. Pillars are detected through circle fitting. The pillars are recognized from the distance and angle between the pillars calculated through circle fitting. Transformation matrices are estimated and the position and heading direction of the robot are computed(S204).
    • 目的:提供机器人的自定位方法和装置,以通过将结构的支柱识别为特征点而不是障碍物来实现机器人的更精确的自定位。 构成:机器人的自定位方法如下。 基于全局坐标系的坐标和半径的数据被设置为输入(S200)。 基于机器人坐标系的LRF(Laser Range Finder)数据被设置为输入(S202)。 使用两个或更多个LRF数据之间的距离和角度来实现分段。 实现段过滤。 支柱通过圆圈拟合检测。 从通过圆形拟合计算出的支柱之间的距离和角度识别支柱。 估计变换矩阵,并计算机器人的位置和行进方向(S204)。