Abstract:
The present invention relates to a method for determining a position to reduce the effects of multipath interference from a satellite navigation system, comprising the steps of: determining the distribution of the elevation angles for a plurality of satellites; determining a receiving strength of a signal from each satellite; determining the weight of the signal therefrom based on the distribution of the elevation angles and the receiving strength thereof; and determining the position based on the signal and the weight therefrom. [Reference numerals] (AA) Start; (BB,DD,FF,HH) No; (CC,EE,GG,II) Yes; (JJ) End; (S310) Determine the number of available satellites; (S320) Determine the distribution of the elevation angles; (S330) Determine a receiving strength of a signal; (S340) Number of entire available satellites >= 5; (S350) Receiving strength is excellent?; (S360,S380) Elevation angle is excellent?; (S370) Determine a first weight; (S390) Determine a second weight; (S400) Determine a third weight; (S410) Determine an uniform weight
Abstract:
To solve an inherent problem that a global positioning system has, the present invention provides a device and a method for calculating position for reliable and stable location determination by fusing with a vision system. According to the embodiment, the device and the method for calculating position are able to develop a more improved position determination system by fusing with a vision system to improve continuity and reliability in position determination and solve weaknesses of less accurate position determination due to an obstacle or an external influence and poor continuity due to a shading region. [Reference numerals] (210) Calculation unit; (220) Determination unit; (230) Computation unit; (240) Global positioning system; (250) Vision system; (AA) Processor; (BB) Memory
Abstract:
본 발명은 구조광 패턴 기반의 3차원 영상 정보 추정 장치 및 방법에 관한 것이다. 본 발명에 따른 구조광 패턴 기반의 3차원 영상 정보 추정 장치는 대상체로부터 영상에서의 구조광 패턴을 획득하는 스테레오 카메라 구성이 가능한 복수의 카메라; 및 구조광원부와 상기 복수의 카메라 중 하나의 카메라 간의 화소별 제1 깊이값과, 복수의 카메리로 구성된 스테레오 카메라에서 획득한 양안 영상으로부터 화소별 제2 깊이값을 대상체의 각 화소 영역에 대해 서로 일치하는 화소들의 시차값을 이용하여 추정하고, 추정한 화소별 제1 깊이값에 대한 제1 신뢰도값과 추정한 화소별 제2 깊이값에 대한 제2 신뢰도값을 깊이값 추정 과정에서 사용한 비용 함수를 이용하여 계산하며, 제1 신뢰도값과 제2 신뢰도값을 비교하여 신뢰도값이 높은 깊이값을 선택하여 최종 깊이맵을 획득하는 깊이맵 추정기를 포함한다.
Abstract:
PURPOSE: A detection method of a vehicle on road is provided to increase the accuracy of detection by limiting the power of true-false which is a weakness of algorism for detecting vehicles in existing image field, and to reduce time for treating comparison with case detecting whole images. CONSTITUTION: A detection method of a vehicle on road comprises: a step of inputting image by photographing a front side or a back side of a vehicle through at least one camera installed in a detecting vehicle; a step of detecting vanishing point on road by using image-treating algorism of the input images; a step of setting the region of interest(ROI) based on the vanishing point; and a step of detecting vehicles by image-treating the region of interest.
Abstract:
PURPOSE: A failure object detection apparatus and a method thereof are provided to generate aerial view mapping of an object and to perform aerial view mapping through grouping and clustering. CONSTITUTION: An aerial view mapping unit(210) displays a location of a failure object on a plane. A grouping unit(220) groups the aerial view map according to each row. A clustering unit(230) generates a depth map histogram according to each group. The clustering unit detects a peak and a valley on the histogram. The clustering unit detects the failure object area according to each group.
Abstract:
PURPOSE: A method and an apparatus for performing an image pixel operation are provided to process the summation of mask area pixels through a summation-table operation method based on an integral image. CONSTITUTION: An apparatus receives an input image(S210). The apparatus partitions the input image into a plurality of segmented windows(S230). The apparatus determines a segmented window computation mode based on an inclusion relation of the partial window(S250). The apparatus performs final integral image computation(S270). The apparatus stores an integral image in four buffers(S290).
Abstract:
PURPOSE: An obstacle detecting method from an accident recording apparatus, a recording medium thereof, and an analysis result display device are provided to enable a user to easily access an image section by the accurate reconstruction of ambient vehicles in accident. CONSTITUTION: An obstacle detecting method from an accident recording apparatus(500) comprises the following steps. An initial searching area of an obstacle is set up(S510). The feature information of the vehicle is extracted and is matched with the template. The feature information of the vehicle is extracted(S540). The feature information is matched with the template, and a vehicle is detected. The vehicle is finally detected based on the feature information. The feature information includes one or more among an outline, a frequency/phase component, a color, and an outline of the number plate.
Abstract:
PURPOSE: A method and an apparatus for recording image data to dynamically correspond to external illuminations are provided to enable accurate accident reconstruction and accident analysis by providing image data of an accident area . CONSTITUTION: An apparatus for recording image data to dynamically correspond to external illuminations comprises an image sensor(120), an illuminance sensor(140), and an illuminance-actuated control unit(110). The image sensor controls transfer width by sensing external image information. The illuminance sensor senses external illuminance information. The illuminance-actuated control unit sets up an illuminance mode using image information and illuminance information. The transfer width determining unit determines the transfer width of the image sensor.
Abstract:
본 발명은, 장애물의 실제 위치를 추정하고 경로를 예측한 후 후보군들을 검출하고 검출된 후보군에 대하여 상관도를 측정함으로써, 차량과 같은 환경에서 강건하게 장애 물체를 추적하고 경로를 예측하는 스테레오 비전을 이용하여 장애물을 추적하는 장치 및 방법을 제공한다. 장애물 추적, 스테레오 영상