Abstract:
A position estimation method and system, and a recording medium for recording the method, using an odometer and a direction sensor are provided to remove the need of an external observation sensor by using a direction angle as a reference observation value by receiving moving distances along X and Y axes and a direction disparity value for calculating the present position of the moving body. A position estimation system using an odometer and a direction sensor(20) comprises an X shaft switching part(6), a Y shaft switching part(4), a direction disparity sensor(10), and a Karman filter(40). The X shaft switching part calculates a moving distance along an X axis by multiplying cos(Theta(t)) by an absolute position disparity volume. The Y shaft switching part calculates a moving distance along a Y axis by multiplying sin(Theta(t)) by the absolute position disparity volume. The direction disparity sensor detects a direction disparity value by using reference direction information from the direction sensor. The Karman filter calculates the present position of the moving body by receiving the moving distances along X and Y axes and the direction disparity value. An input value generating part(12) calculates an input value inputted to the Karman filter by using the Jacobian matrix.
Abstract:
본 발명에 의한 영상정보와 무선 센서네트워크를 이용한 사물 인식 및 측위 방법 및 그 장치는 사물이 제공하는 데이터를 기초로 위치를 인식하고 측정하는 장치가 영상정보와 무선 센서네트워크를 이용하여 사물을 인식하고 측위하는 방법에 있어서, 위치를 측정하고자 하는 사물의 아이디를 획득한 후 그 아이디를 기초로 상기 사물의 정보를 획득하는 단계; 상기 사물에 부착된 전자태그와의 무선통신을 이용하여 상기 사물의 위치를 추정하는 단계; 상기 추정된 사물의 위치 근처의 영상을 획득하는 단계; 및 상기 획득된 영상으로부터 상기 사물의 위치를 재산정하는 단계;를 포함하는 것을 특징으로 하며, 공간 내에 존재하는 다양한 사물들의 ID와 정확한 위치정보를 파악할 수 있으므로 이를 바탕으로 사물 조작, 배달 등 지능적인 로봇 서비스 개발에 응용될 수 있다. 이동로봇 (Mobile robot), 무선 센서네트워크 (Wireless sensor network), 로봇 비전 (Robot vision)사물 인식 (Object recognition), 사물 측위 (Object localization), 센서 융합 (Sensor fusion)
Abstract:
A device and a method for chasing location are provided to chase the position of the target object in real-time by combining an inertia measuring instrument with a wireless sensor network, and to perform the position prediction by the Kalman filter. A wireless sensor network predicts the present position of a moving body through the wireless communication. An inertia measuring instrument predicts the moving trace corresponding to the movement of the moving body. A position calculating instrument generates the state propagation movement equation by using the output signal outputted from the inertia measuring instrument and offers the present position information predicted from the communication instrument based on wireless sensor network to the state propagation movement equation, so that the correction is performed and the position change is chased. The position calculating instrument comprises a position observation part(53) for finding position information from the signal generated by the wireless sensor network. A state propagation movement equation acquisition part(51) calculates the movement equation by processing the signal from the inertia measuring instrument. A movement equation correction and propagation part(52) offers the present position information to the state propagation movement equation and corrects and propagates.
Abstract:
A low-power positioning system using a tag based on a wireless sensor network and a method thereof are provided to detect the motion of a tag device through a motion sensor and consume power for transmitting a position calculating signal to the receiving sensor of a position calculating unit only when an object moves, thereby minimizing the power consumption of the tag device and the receiving sensor. A positioning system based on a wireless sensor network comprises a motion sensor(50), a wireless network tag(100), a wireless network receiving sensor(800), and a position calculating unit(900). The motion sensor is mounted to a corresponding position to detect motion. The wireless network tag has the motion sensor, is attached to a mobile object(10) to determine whether the object moves on the basis of the motion detection information of the motion sensor, and switches a power mode for the transmission of the position calculating signal of the object into an operation mode or a slip mode selectively according to the determination result. The wireless network receiving sensor receives the position calculating signal transmitted from the wireless network tag switched into the operation mode according to the motion of the object, and generates and outputs the information of the received position calculating signal. The position calculating unit calculates the position of the object on the basis of the information of the received position calculating signal outputted from the wireless network receiving sensor.
Abstract:
A mapping apparatus and method in a mobile robot are provided to reflect change of surrounding conditions on the map by using a mobile robot to collect surrounding information. A conveyance part(120) conveys a mobile robot according to an input command. A distance measurement part(140) measures a distance from the mobile robot to an object positioned in the vicinity of the mobile robot. A mapping part(180) makes a map based on the measured distance. A mobile robot detector(150) compares a distance to an object of the map from the mobile robot, which is measured after mapping, with the measured distance of the distance measurement part after the map is made. The moving device detector detects the object based on the comparison result. An object movement detector(160) detects the movement state of the object in the area of the map. A controller(110) reflects changed information about surroundings to update the map.
Abstract:
An apparatus for detecting movement of attached connection unit is provided to measure pulled extent, direction and length of the attached connection unit such as a necklace or a cable. An apparatus for detecting movement of an attached connection unit includes a connection unit, and a length detection part(130). The connection unit has one end connected to an inner part of the apparatus, and the other end disposed to the outside of the apparatus through one side of the apparatus. The length detection part measures a length pulled out of the apparatus. The length detection part includes a rotary reel, and a rotary measurement part. The rotary reel is connected to one end of the connection unit, and wounds the connection unit. The rotary measurement part measures an extent of rotation of the reel when the connection unit is pulled, and measures a length in which the connection unit is pulled.
Abstract:
본 발명은 무선 센서 네트워크 기반 저전력 위치 인식 시스템 및 그 방법에 관한 것으로, 본 발명의 위치 인식 시스템은, 해당 위치에 부착되어 움직임을 감지하는 모션 센서; 상기 모션 센서가 부착되고 자신은 움직임이 가능한 물체에 부착되어, 상기 모션 센서의 움직임 감지 정보에 기초하여 상기 물체의 움직임 발생 여부를 판별하고, 그 결과에 따라 상기 물체의 위치산출용신호 전송을 위한 전원 모드를 동작 모드 및 슬립 모드로 선택적으로 전환하는 무선 네트워크 태그; 상기 물체의 움직임 발생에 따라 상기 동작 모드로 전환된 무선 네트워크 태그로부터 전송되는 위치산출용신호를 수신하고, 상기 수신한 위치산출용신호의 수신정보를 생성하여 출력하는 무선 네트워크 수신 센서; 및 상기 무선 네트워크 수신 센서로부터 출력되는 위치산출용신호의 수신정보에 기초하여 상기 물체의 위치를 산출하는 위치 인식 산출부를 포함하며, 이에 의해, 무선 네트워크 태그의 전력 소모를 최소화할 수 있다. 위치 인식 시스템, 모션 센서, 무선 센서 네트워크, 저전력, 측위 시스템
Abstract:
An apparatus and a method for detecting a location of a target are provided to enhance the efficiency and practicability of a wireless sensor network by detecting a location of a target without performing time synchronization. A tag transmits radiowaves(S310). A master node receives a signal 'a'(S320). When sensor nodes receive the radiowaves of the tag and transmit an acknowledgement signal, the master node receives and records the acknowledgement signal(signal 'b') of each sensor node(S330). The master node obtains a location of a target with the tag based on a time difference between the signal 'a' and the signal 'b'(S340).
Abstract:
A method for recognizing objects and measuring locations by using image information and a wireless sensor network and an apparatus thereof are provided to check efficiently and definitely location information of objects which exist in a set space. A method for recognizing objects and measuring locations comprises the following several steps. A wireless location recognizing system broadcasts specific signals over a space for detecting electronic tags existing over the space(S310). The wireless location recognizing system calculates approximate location information of objects to which the electronic tags are attached by using a wireless communication based location recognizing scheme like UWB(S320). The system compares the image captured via a camera with object information obtained via an ID of the object, and detects the corresponding object from the image(S330). The system measures location information of the detected object on the image and a distance from the camera to the object by using other special device and procedures(S340).