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公开(公告)号：KR1020150018223A
公开(公告)日：2015-02-23
申请号：KR1020130094864
申请日：2013-08-09
Applicant: 재단법인대구경북과학기술원
CPC classification number: G08G1/09
Abstract: 본발명은실시간교통정보를이용하여제한속도를표시하는장치및 방법에관한것이다. 본발명에따른실시간교통정보를이용하는가변제한속도표시장치는실시간혼잡도정보및 실시간사고정보중 적어도어느하나를포함하는실시간교통정보를획득하는교통정보획득부와, 실시간교통정보에기초하여가변제한속도를표시하는제한속도표시부및 교통정보획득부가획득한실시간교통정보에기초하여제한속도표시부가표시하는제한속도를가변시키는제어부를포함한다. 또한, 본발명에따른실시간교통정보를이용하는가변제한속도표시방법은실시간교통정보를획득하는단계와, 획득된실시간교통정보를분석하여교통정체발생여부를판단하는단계및 교통정체가발생한경우, 제한속도를변경하는단계를포함한다.
Abstract translation: 本发明涉及使用实时交通信息显示可变速度限制的装置和方法。 用于使用实时交通信息显示可变速度限制的装置包括：交通信息获取单元，用于获取包括实时拥堵信息和实时事故信息中的至少一个的实时交通信息; 速度限制显示单元，用于基于实时交通信息显示可变速度限制; 以及控制单元，其基于由交通信息获取单元获取的实时交通信息来改变由限速显示单元显示的速度限制。 此外，使用实时交通信息显示变速限制的方法包括以下步骤：获取实时交通信息; 通过分析所获取的实时交通信息来确定是否发生交通拥堵; 并在发生交通拥堵的情况下改变速度限制。
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公开(公告)号：KR1020140062334A
公开(公告)日：2014-05-23
申请号：KR1020120128949
申请日：2012-11-14
Applicant: 재단법인대구경북과학기술원
CPC classification number: G06T7/11 , G06T7/13 , G06T7/155 , H04N13/106
Abstract: An apparatus and a method for detecting obstacles are disclosed. The apparatus for detecting obstacles according to an embodiment of the present invention comprises: a first detection unit for detecting an area of interest which has the possibility of including an obstacle from a disparity map of a stereo image; a second detection unit for detecting a horizontal position of the obstacle corresponding to an area expected to be a shadow in the area of interest using a brightness-based histogram of the area of interest; and a third detection unit for detecting an obstacle area including the obstacle using vertical edge information between the horizontal positions.
Abstract translation: 公开了一种用于检测障碍物的装置和方法。 根据本发明的实施例的用于检测障碍物的装置包括：第一检测单元，用于从立体图像的视差图检测出具有包括障碍物的可能性的感兴趣区域; 第二检测单元，用于使用感兴趣区域的基于亮度的直方图来检测对应于感兴趣区域中预期为阴影的区域的障碍物的水平位置; 以及第三检测单元，用于使用所述水平位置之间的垂直边缘信息来检测包括所述障碍物的障碍物区域。
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公开(公告)号：KR101390107B1
公开(公告)日：2014-04-29
申请号：KR1020120121802
申请日：2012-10-31
Applicant: 재단법인대구경북과학기술원
CPC classification number: H03D7/16 , H03D2200/0066
Abstract: Disclosed are a signal process apparatus and a method for supporting high-speed acquisition time. The signal process apparatus for supporting high-speed acquisition time includes: a divider for receiving an intermediate frequency signal and dividing the received intermediate frequency signal into n (N is a natural number); n pieces of mixers for mixing n pieces of divided intermediate frequency signal each by using a pulsed input signal; and a processor for digital-signal-processing n pieces of mixing signals outputted from n pieces of mixers. [Reference numerals] (201) Divider; (209) Processor; (AA,BB) Amplification unit; (CC,DD) Mixer unit; (EE,FF) Filter unit
Abstract translation: 公开了一种用于支持高速采集时间的信号处理装置和方法。 用于支持高速采集时间的信号处理装置包括：用于接收中频信号并将接收到的中频信号分成n（N是自然数）的分频器; n个混合器，用于通过使用脉冲输入信号混合n个分频中频信号; 以及用于对从n个混合器输出的n个混合信号进行数字信号处理的处理器。 （附图标记）（201）分隔线; （209）处理器; （AA，BB）放大单元; （CC，DD）搅拌机; （EE，FF）过滤器
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公开(公告)号：KR101364046B1
公开(公告)日：2014-02-19
申请号：KR1020120124275
申请日：2012-11-05
Applicant: 재단법인대구경북과학기술원
IPC: G06T7/20
CPC classification number: G06K9/3233 , G06K9/6215 , G06T7/20
Abstract: Disclosed is a method for an object tracking having a strong tracking performance for movements such as a rotational change of the object in various external environments and a size change. The method for an object tracking according to an aspect of the present invention comprises the steps of: extracting a feature point in a region of interest (ROI) of a previous frame; setting at least one candidate region of a current frame which corresponds to the ROI using the feature point matching; and estimating the candidate region which has the greatest similarity with an appearance model of the ROI among the appearance models of the candidate regions as the ROI of the current frame. [Reference numerals] (101) Candidate region setting unit; (103) Appearance model transformation unit; (105) ROI estimating unit; (AA,CC) Previous frame; (BB) Current frame
Abstract translation: 公开了一种用于物体跟踪的方法，其具有针对诸如各种外部环境中的物体的旋转变化和尺寸变化的移动的强跟踪性能。 根据本发明的一个方面的用于对象跟踪的方法包括以下步骤：提取先前帧的感兴趣区域（ROI）中的特征点; 使用所述特征点匹配来设置与所述ROI对应的当前帧的至少一个候选区域; 并且将候选区域的外观模型中与ROI的外观模型具有最大相似度的候选区域作为当前帧的ROI进行估计。 （附图标记）（101）候选区域设定单元; （103）外观模型转换单位; （105）ROI估计单元; （AA，CC）上一帧; （BB）当前帧
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公开(公告)号：KR101355976B1
公开(公告)日：2014-02-03
申请号：KR1020120128448
申请日：2012-11-13
Applicant: 재단법인대구경북과학기술원
CPC classification number: G06T7/33 , G06K9/3233 , G06T7/246
Abstract: An object tracking method which uses a matching of space time feature points and an apparatus thereof are disclosed. The object tracking apparatus using the matching of the time space feature points according to an embodiment of the present invention includes: a candidate area setting unit which sets an area (a first searching area) which detects an object which is a tracking object in any one image (a first image) between a left image and a right image which are inputted by a stereo camera; a time image feature point extracting unit which extracts feature points within a region-of-interest (POI) of a previous frame and the first searching area; an ROI estimating unit which estimates an ROI in the first image through a matching of the feature points between time images; a space image feature point extracting unit which sets a second searching area in the other image (a second image) between the left and right images based on the ROI of the first image and extracts feature points in the second searching area; and a space image feature point matching unit which extracts a feature point which is matched with the feature points which are extracted from the second searching area among the feature points extracted in the ROI of the first image through a feature point matching between space images. [Reference numerals] (10) Preprocessing unit; (20) Candidate area setting unit; (30, 50) Time image feature point extracting unit; (40) ROI estimating unit; (60) Space image feature point matching unit; (70) Distance estimating unit; (AA) Left and right images
Abstract translation: 公开了一种使用时空特征点匹配的物体跟踪方法及其装置。 根据本发明实施例的使用时间空间特征点的匹配的对象跟踪装置包括：候选区域设置单元，其设置检测任何一个跟踪对象的对象的区域（第一搜索区域） 由立体摄像机输入的左图像和右图像之间的图像（第一图像）; 时间图像特征点提取单元，其提取先前帧的兴趣区域（POI）和第一搜索区域中的特征点; ROI估计单元，其通过时间图像之间的特征点的匹配来估计第一图像中的ROI; 空间图像特征点提取单元，其基于所述第一图像的ROI设置所述左图像和右图像之间的另一图像（第二图像）中的第二搜索区域，并提取所述第二搜索区域中的特征点; 以及空间图像特征点匹配单元，其通过空间图像之间的特征点提取与在第一图像的ROI中提取的特征点中从第二搜索区域提取的特征点匹配的特征点。 （附图标记）（10）预处理单元; （20）候选区域设定单位; （30,50）时间图像特征点提取单元; （40）ROI估计单元; （60）空间图像特征点匹配单元; （70）距离估计单位; （AA）左右图像
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Patent Agency Ranking
公开(公告)号：KR101326408B1
公开(公告)日：2013-11-11
申请号：KR1020110117370
申请日：2011-11-11
Applicant: 재단법인대구경북과학기술원
Abstract: 기압고도계 및 위성항법시스템을 이용한 고도 측정 장치 및 방법이 개시된다. 기압고도계 및 위성항법시스템을 이용한 고도 측정 장치는 위치와 연관하여, 위성항법시스템으로부터 위성 고도값을, 기압고도계로부터 기압 고도변화량을 설정된 시간격으로 각각 수신하는 인터페이스와, 상기 위성 고도값에 대한 위성 고도변화량이 설정된 변화량을 초과하거나, 또는 상기 위성 고도값에 대한 신뢰값이 설정된 신뢰값을 만족하지 않을 경우, 상기 위성 고도값 및 상기 기압 고도변화량을 이용하여, 상기 위치에 대한 고도를 측정하는 프로세서를 포함한다.
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公开(公告)号：KR101272572B1
公开(公告)日：2013-06-10
申请号：KR1020110117820
申请日：2011-11-11
Applicant: 재단법인대구경북과학기술원
Abstract: 3차원 영상 기반의 특징을 이용한 거리 추정 방법은,
입력 영상을 수신한 영상센서로부터 2차원 영상 정보와 객체까지의 거리를 색깔이나 명암으로 나타내는 3차원 깊이 정보를 수신하는 단계; 2차원 영상 정보를 가우시안 함수의 표준 편차인 가우시안 파라미터를 증가시키면서 2차원 영상 정보를 다중 스케일로 표현하는 스케일 스페이스 층을 복수개 형성한 스케일 스페이스를 구성하는 단계; 입력 영상의 3차원 깊이 정보와 상기 가우시안 파라미터를 이용하여 N 번째 층에 해당하는 각각의 스케일 스페이스 층의 3차원 깊이 정보를 추정하는 단계; N 번째 층에 해당하는 각각의 스케일 스페이스 층의 특징점을 추출하는 단계; 각각의 스케일 스페이스 층에서 추출된 특징점들에 대하여 각각의 스케일 스페이스 층에 해당하는 3차원 깊이 정보를 할당하는 단계; 각각의 스케일 스페이스 층에서 2차원 영상 정보에서 추출된 특징점들과 매칭되는 스케일 스페이스 층을 검색하는 단계; 및 검색된 스케일 스페이스 층의 깊이 정보를 이용하여 촬영 지점으로부터 객체의 거리를 추정하는 단계를 포함한다.
본 발명에 따르면, 3차원 영상을 이용하여 객체의 특징을 추추출하여 객체 인식과 거리를 추정하는 효과가 있다.-
公开(公告)号：KR1020130053980A
公开(公告)日：2013-05-24
申请号：KR1020110119729
申请日：2011-11-16
Applicant: 재단법인대구경북과학기술원
Abstract: PURPOSE: An obstacle detection method based on image data fusion and a device thereof are provided to fuse obstacle detection methods based on a disparity map, a single image feature, and optical flow, thereby improving reliability of obstacle detection. CONSTITUTION: An obstacle detection device generates a disparity map from image data and detects an area of an obstacle from the disparity map(100). The obstacle detection device detects a new obstacle area by combining feature information of an image of the image data with information of the detected obstacle area(200). The obstacle detection device detects movement based on optical flow of the image data(300). [Reference numerals] (110) Disparity map generation; (120) Road feature information extraction; (130) Column detection or height restriction U-disparity map detection; (140) Obstacle separation; (210) Feature information extraction and filtering; (220) Area combination and sampling; (230) Area detection; (240) Area separation or combination; (310) Feature information extraction and optical flow calculation; (320) Optical flow correction and optical flow distance direction calculation; (330) Optical flow clustering; (400) Data fusion detection; (500) Obstacle verification; (AA) Image input
Abstract translation: 目的：提供一种基于图像数据融合的障碍物检测方法及其装置，用于基于视差图，单一图像特征和光流来融合障碍物检测方法，从而提高障碍物检测的可靠性。 构成：障碍物检测装置从图像数据生成视差图，并从视差图（100）检测障碍物的区域。 障碍物检测装置通过将图像数据的图像的特征信息与检测到的障碍物区域（200）的信息组合来检测新的障碍物区域。 障碍物检测装置基于图像数据（300）的光流检测移动。 （附图标记）（110）视差图生成; （120）道路特征信息提取; （130）列检测或高度限制U-视差图检测; （140）障碍物分离; （210）特征信息提取和滤波; （220）区域组合和抽样; （230）区域检测; （240）区域分离或组合; （310）特征信息提取和光流计算; （320）光流校正和光流距离方向计算; （330）光流聚类; （400）数据融合检测; （500）障碍物验证; （AA）图像输入
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公开(公告)号：KR1020130052400A
公开(公告)日：2013-05-22
申请号：KR1020110117814
申请日：2011-11-11
Applicant: 재단법인대구경북과학기술원
CPC classification number: H04N13/366 , B60R2300/107 , B60W2050/0028 , H04N13/246 , H04N2013/0092
Abstract: PURPOSE: A simulation device for a stereo vision system of an intelligent vehicle and a camera correction method using the same are provided to reduce the time and costs for research and to develop by executing the verification and test of the stereo vision system. CONSTITUTION: A server unit(100) transmits and stores a stereo image. A display unit(200) receives and displays the stereo image from the server unit. A stereo camera unit(300) obtains right and left images of the stereo image displayed by the right and left cameras. An image processing unit(400) processes the right and left images. A monitoring unit(500) outputs the processed image and monitors the operation of the image processing unit. [Reference numerals] (100) Server unit; (200) Display unit; (300) Stereo camera unit; (400) Image processing unit; (500) Monitoring unit; (AA) Virtual image; (BB) Real image; (CC) Left image; (DD) Right image
Abstract translation: 目的：提供一种用于智能车辆的立体视觉系统的模拟装置和使用其的相机校正方法，以通过执行立体视觉系统的验证和测试来减少研究和开发的时间和成本。 构成：服务器单元（100）发送并存储立体图像。 显示单元（200）从服务器单元接收并显示立体声图像。 立体摄像机单元（300）获得由左右相机显示的立体图像的左右图像。 图像处理单元（400）处理左图像和左图像。 监视单元（500）输出处理过的图像并监视图像处理单元的操作。 （附图标记）（100）服务器单元; （200）显示单元; （300）立体声相机单元; （400）图像处理单元; （500）监控单元; （AA）虚拟图像; （BB）真实形象; （CC）左图; （DD）右图
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公开(公告)号：KR1020130047934A
公开(公告)日：2013-05-09
申请号：KR1020110112766
申请日：2011-11-01
Applicant: 재단법인대구경북과학기술원
IPC: G01S19/03
Abstract: PURPOSE: A positioning method is provided to perform stable and reliable positioning using map matching through code tracking and a vision system for compensating a problem of truncation of positioning due to cycle slip owing to an obstacle or decrease of accuracy in a global positioning system. CONSTITUTION: A positioning method monitors the number of satellites in real time(S100). If the number of satellites is greater than 4(S110), the method performs a PPP(Precise Point Positioning)(S200,S300). If the number of satellites is greater than 3(S210), the method calculates the location of a user(S300). If the number of satellites is less than 3, the method recognizes a coordinate from a specific object or a building in which a coordinate is preset using a vision system and performs positioning(S230,S300). [Reference numerals] (AA,BB,S310) Calculate a pseudo range; (CC,DD,S330) Correct a pseudo range; (EE,FF,S340) Calculate a user position; (S100) Monitoring the number of satellites; (S110) Number of used satellites >= 4; (S130) Number of used satellites = 3; (S140) Number of used satellites
Abstract translation: 目的：提供一种定位方法，通过代码跟踪使用地图匹配进行稳定可靠的定位，以及视觉系统，用于补偿由于全球定位系统中的障碍或精度降低引起的周期滑移导致的定位截断问题。 构成：定位方法实时监控卫星数量（S100）。 如果卫星数大于4（S110），则该方法执行PPP（精确点定位）（S200，S300）。 如果卫星数大于3（S210），则该方法计算用户的位置（S300）。 如果卫星数小于3，则该方法使用视觉系统识别来自特定对象或其中坐标被预设的建筑物的坐标，并执行定位（S230，S300）。 （标号）（AA，BB，S310）计算伪范围; （CC，DD，S330）更正伪距离; （EE，FF，S340）计算用户位置; （S100）监测卫星数量; （S110）二手卫星数> = 4; （S130）使用卫星数= 3; （S140）使用过的卫星数<3; （S200）执行PPP（精确点定位）; （S210）通过代码跟踪使用地图匹配; （S230）使用视觉系统
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