Abstract:
The present invention relates to an apparatus and a method to combine robot software components. The disclosed apparatus to combine robot software components includes: a code generation unit which generates a tightly coupled form or a loosely coupled form of a component source code by analyzing inputted component standards; a component storage unit which stores the generated component source code; a graphic user interface (GUI) processing unit which provides a component combination tool including a component list display window, a topic list display window, and an application diagram display window through a GUI environment; a component list generation unit which adds a component to a component list of the component list display window or adds a topic to a topic list of the topic list display window by analyzing the component standards of the stored component source code; a pointing input unit which supports a user whereby the user can drag and drop a separate component displayed on the component list display window or a separate topic displayed on the topic list display window on the application diagram display window; and an application package configuration standard generation unit which makes connection information into application package configuration standards when a loosely coupled type port of a component is connected to a topic or a tightly coupled type port of the component is directly connected to a port of another component, on the application diagram display window.
Abstract:
Disclosed are a device and a method for mapping probability distribution based on object and system properties. The device for mapping the probability distribution includes: a sensor information collection unit collecting sensor information from multiple sensors; an object recognition unit recognizing an object by combining and deducting the sensor information, and obtaining object information, which is information of the object; and a probability distribution generation unit determining whether an object property model, which includes at least one of kinematic properties, physical properties, and probability properties, is applied to correspond to the object information, and generating the probability distribution based on object properties by obtaining the object properties corresponding to the object information.
Abstract:
Disclosed are a lane tracking device using a camera direction control and a method thereof. The lane tracking device using a camera direction control according to the present invention includes a lane recognition unit which obtains lane information from an image filmed by a camera, a road curvature calculation unit for calculating a road curvature using the lane information, and a camera angle control unit which controls camera angles considering the road curvature. [Reference numerals] (110) Lane recognition unit; (120) Road curvature calculation unit; (130) Camera angle control unit; (140) Vehicle steering angle sensor unit; (150) Road recognition unit; (160) Vehicle steering angle correction unit
Abstract:
The present invention relates to an apparatus and method for providing a video and reproducing the video. According to the present invention, the apparatus for providing a video includes a video identification part identifying an additional video; a restoration mode determination part determining one mode; a data transmission part transmitting additional information. [Reference numerals] (200) Image providing device;(201) Image identification unit;(202) Restoring mode decision unit;(203) Data transmission unit
Abstract:
The present invention relates to an apparatus and method for situation recognition using object energy information. The disclosed situation recognition apparatus comprises: an image input unit for receiving a taken image; an object detection unit for detecting an object by analyzing the received image; an object position information extraction unit for extracting position information within the image for the detected object; an object motion information extraction unit for extracting motion information within the image for the detected object; an object number change rate measurement unit for measuring an object number change rate within the image for the detected object; an entropy calculation unit which converts a position change rate of the object measured based on the position information, a motion change rate of the object measured based on the motion information, and the object number change rate into energy information and measures entropy of the converted energy information; and a situation recognition unit for recognizing a situation within a space where the image was taken by associating a change rate of the entropy, measured within the image, with a risk policy. [Reference numerals] (110) Image input unit;(120) Object detection unit;(130) Object position information extraction unit;(140) Object motion information extraction unit;(150) Object number change rate measurement unit;(160) Normalization unit;(170) Weight applying unit;(180) Entropy calculation unit;(190) Situation recognition unit
Abstract:
The present invention discloses technologies of packet level forward error correction encoding and decoding method and device, decoding method of digital broadcasting receiving system and digital broadcasting receiving device. According to such technologies, the forward error correction encoding method comprises the steps of separating a first header unit from an input packet stream; encoding a first payload unit of the separated packet stream according to the predetermined encoding rate to generate a second payload unit; generating a second header unit according to the encoding rate; and combining the first header unit, the second header unit and the second payload unit. [Reference numerals] (210) Header separating unit;(221) Block interleaver;(223) Organized encoder;(225) Block de-interleaver;(230) Header generating unit;(240) Header combining unit
Abstract:
본 발명은 분산 환경에서 약결합된 형태를 취하고 있는 로봇용 소프트웨어 컴포넌트들을 구동시키는 컴포넌트 실행 방법에 있어서, 다중 컴포넌트를 실행할 때, 특정 컴포넌트의 고장이 전체 시스템의 고장으로 확대되는 것을 방지하는 방법 및 그 장치에 관한 것이다. 본 발명의 실시예에 따른 로봇용 소프트웨어 컴포넌트를 구동시키는데 있어서 컴포넌트 구동 시 발생하는 고장을 감내하는(fault tolerance) 방법은, 동일한 우선순위와 주기를 갖는 적어도 하나의 로봇용 소프트웨어 컴포넌트를 컴포넌트 실행기에 할당하는 단계, 운영체제로부터 하나의 쓰레드를 할당받아 상기 컴포넌트 실행기를 이용하여 상기 적어도 하나의 로봇용 소프트웨어 컴포넌트를 실행하는 단계, 상기 실행한 결과를 실행기 모니터에 통보하는 단계, 및 상기 실행기 모니터가 상기 컴포넌트 실행기의 동작에 고장이 있는 것으로 판단한 경우 새로운 컴포넌트 실행기를 생성하는 단계를 포함하여 구성될 수 있다. 로봇, 소프트웨어 컴포넌트, 고장 감내, Fault Tolerance
Abstract:
복수의 전송 채널을 포함하는 케이블망을 통해 방송 수신 장치와 송수신하는 헤드엔드 장치가 개시된다. 본 발명의 실시 예에 따른 헤드엔드 장치는, 선택된 방송 채널에 대응하는 비디오 방송 콘텐츠를 수신하는 수신부, 복수의 전송 채널과 일대일 매핑되며, 비디오 방송 콘텐츠를 변조 처리하는 복수의 변조부 및 비디오 방송 콘텐츠의 해상도에 따라 복수의 전송 채널의 결합 여부를 결정하며, 결합이 결정되면 복수의 전송 채널을 결합하고 비디오 방송 콘텐츠를 상기 방송 수신 장치에 전송하도록 결합된 전송 채널 각각에 매핑된 변조부를 제어하는 컨트롤러를 포함한다.
Abstract:
PURPOSE: A task authoring device and a method thereof are provided to support to author a task used in a robot or an intelligent agent with a top-down method, thereby enabling a user who is not familiar with programming or a specific script language to easily author the task. CONSTITUTION: A scenario extraction information input unit(120) receives data, an event, and behavior information extracted from a task scenario. A part behavior information generation unit(130) extracts and makes partial behavior rules and orders based on the data, the event, and the behavior information. The complete behavior information generation unit(140) makes the complete behavior rules and orders by setting relations among the partial behavior rules and orders and integrating the partial behavior rules and orders corresponding to the relations. A task conversion unit(150) converts the entire behavior rules and orders into a task which the robot or the intelligent agent performs. [Reference numerals] (110) Information input support unit; (120) Scenario extraction information input unit; (130) Part behavior information generation unit; (140) Whole behavior information generation unit; (150) Task conversion unit
Abstract:
PURPOSE: A street sign recognizing system and a method thereof are provided to show a high recognition rate of street signs and credibility by not being influenced by changes of circumstance. CONSTITUTION: A street sign recognizing system comprises: a sensing unit for outputting distance information, video information from front side and the amount of reflections; a recognizing unit for identifying street signs from the front side based on the information from the sensing unit; and an output unit for sending the information of the street signs identified from the recognizing unit. The interior configuration of the street sign recognizing system comprises: a sensing unit(200), a recognizing unit(220) and an output unit(240). The sensing unit comprises: a camera(202) for watching the front side, and a laser scanner(204) for outputting the distance and the color of the street as a grey value, in other words, the amount of reflections. The camera of the sensing unit provides the video information of the front side to the recognizing unit, the laser scanner provides the distance information and the amount of reflections to the recognizing unit. A recognizing method of the street signs comprises the following steps: sensing the video information of the front side, the distance information and the amount of reflections; recognizing the street signs of the front side based on the sensed information; and outputting the information of the sense information. [Reference numerals] (202) Camera; (204) Laser scanner; (222) Reverse; (224) Noise filter unit; (226) Histogram processing unit; (228) Normalization processing unit; (230) Map generation unit; (232) ROI determination unit; (234) Road surface target recognition determination unit; (240) Output unit; (AA) Image information; (BB) Reflectivity information; (CC) Distance information