会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 11. 发明授权
    • RF 전송속도 기반 위치측정시스템을 이용한 골프 필드용 무선 조정 카트 제어 시스템
    • 使用射频发射速率测量系统的高尔夫球控制系统
    • KR101468870B1
    • 2014-12-05
    • KR1020140045484
    • 2014-04-16
    • (주)조은정밀
    • 박재성
    • G05D1/02
    • G05D1/0027A63B2069/3605A63B2220/20G05D1/0022G05D1/0214G05D2201/0204
    • 본 발명은 골프 필드용 무선 조정 카트 제어시스템에 관한 것으로, 특히 RF신호의 전송속도를 기반으로 거리를 측정하는 거리측정모듈이 각각 구비된 리모콘, 카트, 적어도 세 개의 고정노드 및 위치계산노드를 포함하며, 상기 리모콘 및 카트는 RF신호를 전송하고, 상기 세 개 이상의 고정노드는 상기 리모콘 및 카트에서 전송한 RF신호를 각각 수신하여 측정된 RF신호의 도달시간을 상기 위치계산노드에 전송하며, 상기 위치계산노드는 상기 RF신호의 도달시간을 기초로 산출한 리모콘과 카트의 각각에 대한 위치정보를 상기 리모콘과 카트에 전송하고, 상기 카트는 상기 위치정보를 기초로 리모콘과의 거리 및 방향을 산출하여 리모콘과의 미리 정한 설정간격을 유지하면서 리모콘을 따라가는 것을 특징으로 하는 RF 전송속도 기반 위치측정시스템을 이용한 골프 필드용 무선 조정 카트 제어 시스템을 개시한다.
    • 本发明涉及一种用于高尔夫球场的无线操作车控制系统。 特别地,公开了一种使用基于RF传输速率的位置测量系统的高尔夫球场的无线操作车控制系统,该系统包括遥控器,手推车,至少三个固定节点和位置计算节点,每个具有距离测量模块 用于基于RF信号的传输速率来测量距离,其中所述遥控器和所述车辆传送所述RF信号; 三个或更多个固定节点从遥控器和卡接收每个RF信号,并将测量的RF信号的到达时间发送到位置计算节点; 位置计算节点将根据RF信号的到达时间计算出的每个遥控器和手推车的位置信息发送到遥控器和手推车; 并且所述推车基于所述位置信息计算距遥控器的距离和方向,并且在与所述遥控器保持预定的设定间隙的同时跟随所述遥控器。
    • 12. 发明公开
    • S* 알고리즘을 이용한 이동로봇의 안전경로계획 수립방법
    • 使用S×算法的移动机器人的安全路径规划方法
    • KR1020130112507A
    • 2013-10-14
    • KR1020120034930
    • 2012-04-04
    • 인하대학교 산학협력단
    • 박종훈허욱열오규철김유송
    • G05D1/02G05D3/00
    • G05D1/0214B25J9/162
    • PURPOSE: A method for executing an optimum and safe routing plan is provided to define danger areas in the entire route for safe autonomous navigation, compose a grid map using a repulsion function of recognition limited areas, and consider the danger repulsive power according to the level of danger, thereby establishing an optimum and safe routing plan. CONSTITUTION: An S* algorithm reads the entire map of a region (S1) and composes a grid map from the map (S2). Based on the regional closure characteristics, a region with collision danger is defined as a danger area (S3). A region with frequent accidents or congestion is defined as an urgent area, and the definition is reflected to the grid map (S4). When a start point and an end point are given (S5), nodes adjacent to the start node are added into an open list where unexplored nodes are recorded (S6). Based on a safety cost evaluation function, nodes with the minimum safety cost, among nodes adjacent to the current node, are selected, and the safest node is identified (S7). A node for which the search is completed is added into a closed list where already explored nodes are recorded so that those nodes are not to be searched any more (S8).
    • 目的:提供一种执行最佳和安全路由规划的方法,以确定整个路由中的安全自主导航的危险区域,使用识别有限区域的排斥功能组成网格图,并根据级别考虑危险排斥力 从而建立最佳和安全的路线规划。 构成:S *算法读取区域的整个地图(S1)并从地图构成网格图(S2)。 根据区域闭合特征,将碰撞危险区域定义为危险区域(S3)。 频繁发生事故或拥堵的地区被定义为紧急区域,定义反映到电网图(S4)。 当给出起始点和终点(S5)时,与开始节点相邻的节点被添加到记录未探索节点的打开列表中(S6)。 基于安全成本评估功能,选择与当前节点相邻的节点中具有最低安全成本的节点,并确定最安全的节点(S7)。 搜索完成的节点被添加到已经被浏览的节点被记录的关闭列表中,使得不再搜索那些节点(S8)。
    • 14. 发明授权
    • 자율 시스템의 자기 인식 방법
    • 自动识别自动识别方法
    • KR101261797B1
    • 2013-05-07
    • KR1020110115430
    • 2011-11-07
    • 한국과학기술원
    • 김대식임재현유재헌
    • G05D1/00G05D3/00
    • G05D1/0214G06T7/11G06T7/20G06T2207/10016
    • PURPOSE: A self-recognition method of an autonomous system is provided to implement accuracy by finding a boundary between a robot body and a background. CONSTITUTION: A visual input of an optical flow shape is obtained(S1). A velocity vector is extracted from an optical flow(S3). A vector to estimate the movement of a system body is extracted. A local feature set is extracted by selecting local features. A body is extracted from the local feature set(S4). [Reference numerals] (S1) Obtain a visual input of an optical flow shape expressed as a vector group of a local picture; (S2) Predict a joint position by using vectors and a free angle of a robot joint corresponding to the vectors; (S3) Extract a velocity vector group matched with prediction values for all frames of video stream; (S4) Extract a main body from the velocity vector group; (S5) Apply a segment algorithm
    • 目的:提供一种自主系统的自我识别方法,通过发现机器人身体与背景之间的边界来实现准确性。 构成:获得光流形状的视觉输入(S1)。 从光流中提取速度矢量(S3)。 提取用于估计系统体的移动的向量。 通过选择本地特征来提取局部特征集。 从本地特征集提取一个身体(S4)。 [参考数字](S1)获取表示为局部图像的矢量组的光流形状的视觉输入; (S2)通过使用与向量对应的机器人关节的向量和自由角度来预测关节位置; (S3)提取与视频流的所有帧匹配的预测值的速度矢量组; (S4)从速度矢量组提取主体; (S5)应用段算法
    • 15. 发明授权
    • 초광대역 레이더 와 스테레오 카메라를 이용한 은폐장애물 감지장치 및 방법
    • 检测装置和使用UWB雷达和立体摄像机的隐蔽障碍的方法
    • KR101149800B1
    • 2012-06-08
    • KR1020110127526
    • 2011-12-01
    • 국방과학연구소
    • 양동원고정호이석재윤주홍강태하
    • G05D1/02G01S13/04
    • G05D1/0214G01S13/04G05D1/0251G05D1/0257G05D1/0278
    • PURPOSE: A concealed obstacle detection apparatus which utilizes a stereo camera and ultra-wideband radar and a method thereof are provided to detect a concealed obstacle and classifies properties of the obstacle using image based stereo camera information and intensity information of the ultra-wideband radar. CONSTITUTION: Ultra-wideband radar receives reflection intensity information of an obstacle in a front side. A radar signal processor creates an intensity based obstacle map. A stereo camera receives altitude information from the obstacle of the front side. A stereo signal processor creates an altitude based obstacle map. An obstacle classification processor detects and classifies obstacles. The obstacle classification processor transmits an obstacle classification detection result to an autonomic operation process system.
    • 目的:提供一种利用立体相机和超宽带雷达的隐蔽障碍物检测装置及其方法,用于检测隐藏的障碍物,并使用基于立体相机的立体照相机信息和超宽带雷达的强度信息对障碍物的属性进行分类。 构成:超宽带雷达接收前方障碍物的反射强度信息。 雷达信号处理器创建基于强度的障碍物图。 立体摄像机从前方的障碍物接收高度信息。 立体声信号处理器创建基于高度的障碍物图。 障碍物分类处理器检测并分类障碍物。 障碍物分类处理器将障碍物分类检测结果发送到自主操作处理系统。
    • 17. 发明公开
    • 레일가이드차량용 안전주행 판별장치
    • 用于铁路导向车辆的安全驾驶鉴定装置
    • KR1020110092665A
    • 2011-08-18
    • KR1020100012214
    • 2010-02-10
    • 정근섭금오공과대학교 산학협력단
    • 정근섭최한고이주일
    • G05D1/02G05D3/00
    • G05D1/0246G05D1/0214G05D2201/0216
    • PURPOSE: A safety driving discriminating apparatus for a rail guided vehicle are provided to inform abnormal driving to a worker by displaying the determination result of safety driving. CONSTITUTION: In a safety driving discriminating apparatus for a rail guided vehicle, a pickup(100) takes a picture of the contact of a wheel and rail. The wheel is included in the rail guide vehicle. A detection unit(200) respectively detects the wheel and the left and right side edge line of the rail. A determination unit(300) compares the left side of the wheel and the position thereof. The determination unit compares the right side of the wheel and the position thereof. The determination unit determines safe driving A display unit(400) displays the determination result of the determination unit.
    • 目的:提供一种用于轨道导引车辆的安全驾驶识别装置,通过显示安全驾驶的确定结果来向工作人员通知异常驾驶。 构成:在轨道导引车辆的安全驾驶识别装置中,拾取器(100)拍摄车轮和轨道的接触的图像。 车轮包含在导轨车中。 检测单元(200)分别检测车轮和轨道的左右边缘线。 确定单元(300)将车轮的左侧和其位置进行比较。 确定单元将车轮的右侧与其位置进行比较。 确定单元确定安全驾驶A显示单元(400)显示确定单元的确定结果。
    • 18. 发明公开
    • 로봇의 장애물 검출방법 및 그 장치
    • 机器人及其装置的障碍物检测方法
    • KR1020090131335A
    • 2009-12-29
    • KR1020080057149
    • 2008-06-18
    • 한양대학교 산학협력단
    • 서일홍장국현
    • G05D1/02
    • G05D1/0214B25J9/1676G05D1/0246
    • PURPOSE: A method and a device for detecting an obstacle of a robot are provided to deal with the situation properly and determine the situation and the operation of a robot by estimating a position of an obstacle quickly. CONSTITUTION: A vision sensor(10) detects an image. A database stores information related to the previously obtained image. A comparison image extractor(30) extracts the past image to compare with the current position from the database. A comparison region selector(40) selects the comparison image commonly existing in the extracted image sensor and the inputted current image from the image sensor. An image converter converts one of the past image and the current image to the image corresponding to the other position based on the characteristic of the comparison region. An obstacle detector(60) estimates the obstacle position by comparing the converted image with the other.
    • 目的:提供一种用于检测机器人的障碍物的方法和装置,以便通过快速估计障碍物的位置来适当地处理情况并且确定机器人的状况和操作。 构成:视觉传感器(10)检测图像。 数据库存储与先前获得的图像有关的信息。 比较图像提取器(30)提取过去的图像以与来自数据库的当前位置进行比较。 比较区域选择器(40)选择所提取的图像传感器中共同存在的比较图像和来自图像传感器的输入的当前图像。 图像转换器基于比较区域的特性,将过去图像和当前图像中的一个转换为对应于另一位置的图像。 障碍物检测器(60)通过将转换的图像与另一个图像进行比较来估计障碍物位置。
    • 19. 发明公开
    • 이동로봇 및 그 동작방법
    • 移动机器人和操作方法
    • KR1020090098513A
    • 2009-09-17
    • KR1020080023949
    • 2008-03-14
    • 엘지전자 주식회사
    • 김성운김상천
    • G05D1/02
    • G05D1/0246A47L9/2852A47L2201/04G05D1/0214G05D2201/0203G05D2201/0215
    • A mobile robot and an operating method for the same are provided to prevent noise due to the insufficiency of radiation by detecting the intensity of radiation from the surface and controlling radiation level. In a mobile robot and an operating method for the same, an image pick up unit(10) takes a picture of an image. An optical source unit(110) irradiates a light so that image pickup unit takes a picture of the image. A light sensor(90) senses the intensity of radiation from the optical source section, and a controller(40) determines whether the detected radiation is sufficient or not according to a detection result. The controller controls the intensity of radiation from the light source through a feed-back control and varies the intensity of radiation to the image pickup unit.
    • 提供了一种移动机器人及其操作方法,以通过检测来自表面的辐射强度和控制辐射水平来防止由于辐射不足引起的噪声。 在移动机器人及其操作方法中,图像拾取单元(10)拍摄图像的图像。 光源单元(110)照射光,使得图像拾取单元拍摄图像的图像。 光传感器(90)感测来自光源部分的辐射强度,并且控制器(40)根据检测结果确定检测到的辐射是否足够。 控制器通过反馈控制器控制来自光源的辐射强度,并且将辐射强度改变为图像拾取单元。
    • 20. 发明授权
    • 기울어짐 감지형 자동 운전 청소기 및 그 동작 제어 방법
    • 用于检测自动运行的清洁器,以及用于控制清洁器操作的方法
    • KR100755611B1
    • 2007-09-06
    • KR1020060092566
    • 2006-09-22
    • 삼성전기주식회사
    • 박호준김현준채경수
    • A47L9/28A47L9/00
    • G05D1/0214G05D2201/0215
    • An automatic operation cleaner for detecting inclination and a method for controlling operation of the cleaner are provided to prevent the efficiency of the device from being lowered by temporarily stopping the operation of cleaning via an inclination detecting unit when the cleaner is leaned or overturned. An automatic operation cleaner for detecting inclination comprises an inclination detecting unit(300), a control unit(400), a traveling drive unit(500), and a suction drive unit(700). The inclination detecting unit detects the inclination of a cleaner body. The control unit judges the condition of inclination by comparing a pre-set standard angle with the inclination angle and to calculate the inclination angle on the basis of the inclination detecting signal from the inclination detecting unit. The traveling drive unit stops the traveling operation if the inclination is judged by the control unit. The suction drive unit stops the suction operation if the inclination is judged by the control unit.
    • 提供一种用于检测倾斜的自动操作清洁器和用于控制清洁器的操作的方法,以防止当清洁器倾斜或翻转时通过倾斜检测单元临时停止清洁操作来降低设备的效率。 用于检测倾斜的自动操作清洁器包括倾斜检测单元(300),控制单元(400),行进驱动单元(500)和抽吸驱动单元(700)。 倾斜检测单元检测吸尘器主体的倾斜度。 控制单元通过将预设的标准角与倾斜角度进行比较来判断倾斜状态,并且基于来自倾斜检测单元的倾斜检测信号来计算倾斜角度。 如果由控制单元判断倾斜度,则行驶驱动单元停止行驶操作。 如果通过控制单元判断倾斜,则抽吸驱动单元停止抽吸操作。