• 제목/요약/키워드: Camera calibration data

검색결과 167건 처리시간 0.029초

3 차원 곡면 데이터 획득을 위한 멀티 레이져 비젼 시스템 개발 (Development of Multi-Laser Vision System For 3D Surface Scanning)

  • 이정환;권기연;이현철;도영칠;최두진;박진형;김대경;박영준
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.768-772
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    • 2008
  • Various scanning systems have been studied in many industrial areas to acquire a range data or to reconstruct an explicit 3D model. Currently optical technology has been used widely by virtue of noncontactness and high-accuracy. In this paper, we describe a 3D laser scanning system developped to reconstruct the 3D surface of a large-scale object such as a curved-plate of ship-hull. Our scanning system comprises of 4ch-parallel laser vision modules using a triangulation technique. For multi laser vision, calibration method based on least square technique is applied. In global scanning, an effective method without solving difficulty of matching problem among the scanning results of each camera is presented. Also minimal image processing algorithm and robot-based calibration technique are applied. A prototype had been implemented for testing.

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다수의 건설인력 위치 추적을 위한 스테레오 비전의 활용 (Simultaneous Tracking of Multiple Construction Workers Using Stereo-Vision)

  • 이용주;박만우
    • 한국BIM학회 논문집
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    • 제7권1호
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    • pp.45-53
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    • 2017
  • Continuous research efforts have been made on acquiring location data on construction sites. As a result, GPS and RFID are increasingly employed on the site to track the location of equipment and materials. However, these systems are based on radio frequency technologies which require attaching tags on every target entity. Implementing the systems incurs time and costs for attaching/detaching/managing the tags or sensors. For this reason, efforts are currently being made to track construction entities using only cameras. Vision-based 3D tracking has been presented in a previous research work in which the location of construction manpower, vehicle, and materials were successfully tracked. However, the proposed system is still in its infancy and yet to be implemented on practical applications for two reasons. First, it does not involve entity matching across two views, and thus cannot be used for tracking multiple entities, simultaneously. Second, the use of a checker board in the camera calibration process entails a focus-related problem when the baseline is long and the target entities are located far from the cameras. This paper proposes a vision-based method to track multiple workers simultaneously. An entity matching procedure is added to acquire the matching pairs of the same entities across two views which is necessary for tracking multiple entities. Also, the proposed method simplified the calibration process by avoiding the use of a checkerboard, making it more adequate to the realistic deployment on construction sites.

발의 움직임 추적에 의한 3차원 신발모델 정합 시스템 (Registration System of 3D Footwear data by Foot Movements)

  • 정다운;서융호;최종수
    • 대한전자공학회논문지SP
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    • 제44권6호
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    • pp.24-34
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    • 2007
  • 정보화 성장과 함께 인간의 생활도 발전하면서, 정보의 접근이 보다 간편한 시스템들이 개발되고 있다. 본 논문에서는 한대의 카메라를 사용하여 3차원 신발 모델을 발에 정합하는 시스템을 제안한다. 인체 움직임 분석에서 전신 움직임에 대한 연구가 대부분인 것과 달리, 우리는 발의 움직임을 기반으로 한 새로운 움직임 분석 시스템을 제안한다. 본 논문은 시스템이 구현되는 과정과 결과를 설명한다. 3차원 신발모델을 이미지의 발에 투영하기 위해 발 추적, 투영, 자세 추정 과정으로 구성했다. 이 시스템은 2차원 영상 분석과 3차원 자세추정으로 나눠진다. 먼저 발 추적을 위해 발의 형태학적 특성에 따라 특징점을 찾는 방식을 제안한다. 그리고 별도의 영상 교정 없이 한 대의 카메라로 2차원 좌표와 3차원 좌표의 관계를 설정하는 기하학적 수식을 제안한다. 제안한 방법에 따라 응용 시스템을 구현하고 거리 오차를 측정한 결과 거의 유사한 위치로 정합 되는 것을 확인할 수 있었다.

재난조사 특수차량과 드론의 다중센서 자료융합을 통한 재난 긴급 맵핑의 활용성 평가 (Applicability Assessment of Disaster Rapid Mapping: Focused on Fusion of Multi-sensing Data Derived from UAVs and Disaster Investigation Vehicle)

  • 김성삼;박제성;신동윤;유수홍;손홍규
    • 대한원격탐사학회지
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    • 제35권5_2호
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    • pp.841-850
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    • 2019
  • 본 논문은 상업용 소형 드론의 드론 맵핑 기하 정확도 평가와 지상 LiDAR와 드론 점군 자료의 융합을 통하여 재난 긴급 맵핑 적용성에 관한 연구이다. 기존의 드론 맵핑 절차와 카메라 검정과 광속조정법으로 카메라 모델을 최적화한 드론 맵핑 간의 위치 오차를 비교 분석한 결과, 평면 위치오차는 2~3 m에서 약 0.11~0.28 m 수준으로, 수직 위치오차는 2.85 m에서 0.45 m 수준으로 위치결정 정확도가 향상되었다. 아울러, 드론 맵핑과정에서 누락되기 쉬운 점군 자료의 측면정보를 지상 LiDAR 점군자료와 융합을 통해 보완할 수 있도록 두 점군 자료간 정합을 위한 개선된 좌표계 변환 모델을 제시하여 연구 대상지내 이종 점군 자료를 최대 오차 0.07 m 이내로 정합하였다. 본 논문에서의 재난현장에서의 드론 기반의 긴급 맵핑과 재난 현장정보를 보다 정밀하게 구축하기 위한 점군 자료융합에 관한 연구 성과는 향후 국가 재난안전 관리 현업에 일조할 수 있을 것으로 기대된다.

An analysis of Electro-Optical Camera (EOC) on KOMPSAT-1 during mission life of 3 years

  • Baek Hyun-Chul;Yong Sang-Soon;Kim Eun-Kyou;Youn Heong-Sik;Choi Hae-Jin
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.512-514
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    • 2004
  • The Electro-Optical Camera (EOC) is a high spatial resolution, visible imaging sensor which collects visible image data of the earth's sunlit surface and is the primary payload on KOMPSAT-l. The purpose of the EOC payload is to provide high resolution visible imagery data to support cartography of the Korean Peninsula. The EOC is a push broom-scanned sensor which incorporates a single nadir looking telescope. At the nominal altitude of 685Km with the spacecraft in a nadir pointing attitude, the EOC collects data with a ground sample distance of approximately 6.6 meters and a swath width of around 17Km. The EOC is designed to operate with a duty cycle of up to 2 minutes (contiguous) per orbit over the mission lifetime of 3 years with the functions of programmable gain/offset. The EOC has no pointing mechanism of its own. EOC pointing is accomplished by right and left rolling of the spacecraft, as needed. Under nominal operating conditions, the spacecraft can be rolled to an angle in the range from +/- 15 to 30 degrees to support the collection of stereo data. In this paper, the status of EOC such as temperature, dark calibration, cover operation and thermal control is checked and analyzed by continuously monitored state of health (SOH) data and image data during the mission life of 3 years. The aliveness of EOC and operation continuation beyond mission life is confirmed by the results of the analysis.

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초분광센서와의 상호교정을 통한 RedEdge-MX 다분광 카메라의 보정계수 산출 (Calculation of correction coefficients for the RedEdge-MX multispectral camera through intercalibration with a hyperspectral sensor)

  • 백승일;고수윤;김원국
    • 한국측량학회지
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    • 제38권6호
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    • pp.707-716
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    • 2020
  • 원격탐사 분야에서 물체의 특성을 정략적으로 추정할 수 있는 분광센서에 대한 관심이 늘어나고 있으며, 특히, 최근 드론에 탑재하여 운영할 수 있는 경량 다분광 카메라의 활용이 주목받고 있다. 정량적 원격탐사를 위해서는 카메라 또는 센서에서 획득된 복사량의 정확도가 중요하지만, 저가의 다분광 카메라의 경우 복사정확도에 대한 독립적인 검증이 충분히 수행되지 않았다. 본 연구에서는 최근 농작물 모니터링, 식생 분석, 수질 분석 등에 다양하게 활용되고 있는 MicaSense사의 RedEdge-MX 카메라에 대한 복사 정확도 분석을 수행하였다. 미국 NIST 표준에 따라 교정된 초분광 센서인 TriOS RAMSES를 이용하여, RedEdge-MX 센서의 복사휘도 및 복사조도에 대한 상대 보정계수를 산출하였다. 분석결과, RedEdge-MX의 복사휘도는 밴드별로 RAMSES보다 5~16% 가량 낮게 나타났고, 복사조도 역시 1~20% 가량 낮은 것이 확인되었다. 본 연구에서는 RedEdge-MX의 관측값을 RAMSES에 상응하는 값으로 변환시키기 위한 보정계수를 1차 그리고 3차 회귀분석을 통하여 제공한다.

Photogrammetric Georeferencing Using LIDAR Linear and Areal Features

  • HABIB Ayman;GHANMA Mwafag;MITISHITA Edson
    • Korean Journal of Geomatics
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    • 제5권1호
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    • pp.7-19
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    • 2005
  • Photogrammetric mapping procedures have gone through major developments due to significant improvements in its underlying technologies. The availability of GPS/INS systems greatly assist in direct geo-referencing of the acquired imagery. Still, photogrammetric datasets taken without the aid of positioning and navigation systems need control information for the purpose of surface reconstruction. Point features were, and still are, the primary source of control for the photogrammetric triangulation although other higher-order features are available and can be used. LIDAR systems supply dense geometric surface information in the form of three dimensional coordinates with respect to certain reference system. Considering the accuracy improvement of LIDAR systems in the recent years, LIDAR data is considered a viable supply of photogrammetric control. To exploit LIDAR data, new challenges are poised concerning the representation and reference system by which both the photogrammetric and LIDAR datasets are described. In this paper, registration methodologies will be devised for the purpose of integrating the LIDAR data into the photogrammetric triangulation. Such registration methodologies have to deal with three issues: registration primitives, transformation parameters, and similarity measures. Two methodologies will be introduced that utilize straight-line and areal features derived from both datasets as the registration primitives. The first methodology directly incorporates the LIDAR lines as control information in the photogrammetric triangulation, while in the second methodology, LIDAR patches are used to produce and align the photogrammetric model. Also, camera self-calibration experiments were conducted on simulated and real data to test the feasibility of using LIDAR patches for this purpose.

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VF 모델링을 이용한 주행차량의 진동에 대한 도로 계측오차 보정 알고리듬 (A Measurement Error Correction Algorithm of Road Structure for Traveling Vehicle's Fluctuation Using VF Modeling)

  • 정용배;김정현;서경호;김태효
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2005년도 추계학술대회 논문집
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    • pp.190-200
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    • 2005
  • In this paper, the image modelling of road's lane markings is established using view frustum(VF) modeling. This algorithm also involve the real time processing of the 3D position coordinate and the distance data from the camera to the points on the 3D world coordinate by the camera calibration. In order to reduce their measurement error, an useful algorithm for which analyze the geometric variations clue to traveling vehicle's fluctuation using VF model is proposed. In experiments, without correction, for instance, the $0.4^{\circ}$ of pitching rotation gives the error of $0.4^{\sim}0.6m$ at the distance of 10m, but the more far distance cause exponentially the more error. We confirmed that this algorithm can be reduced less than 0.1m of error at the same condition.

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A Miniature Humanoid Robot That Can Play Soccor

  • Lim, Seon-Ho;Cho, Jeong-San;Sung, Young-Whee;Yi, Soo-Yeong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.628-632
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    • 2003
  • An intelligent miniature humanoid robot system is designed and implemented as a platform for researching walking algorithm. The robot system consists of a mechanical robot body, a control system, a sensor system, and a human interface system. The robot has 6 dofs per leg, 3 dofs per arm, and 2 dofs for a neck, so it has total of 20 dofs to have dexterous motion capability. For the control system, a supervisory controller runs on a remote host computer to plan high level robot actions based on the vision sensor data, a main controller implemented with a DSP chip generates walking trajectories for the robot to perform the commanded action, and an auxiliary controller implemented with an FPGA chip controls 20 actuators. The robot has three types of sensors. A two-axis acceleration sensor and eight force sensing resistors for acquiring information on walking status of the robot, and a color CCD camera for acquiring information on the surroundings. As an example of an intelligent robot action, some experiments on playing soccer are performed.

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Environment Effects on the Stability of the CQUEAN CCD

  • 최나현;박수종;최창수;박원기;임명신;전이슬;백기선
    • 천문학회보
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    • 제37권2호
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    • pp.222.2-222.2
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    • 2012
  • Camera for QUasars in EArly uNiverse (CQUEAN) is an optical CCD camera attached to the 2.1m Otto Struve telescope at the McDonald Observatory, USA. CCD output signal contains the electrons generated by photoionization of incident light and thermal ionization. Therefore reliable photometric result can be obtained only under the stable condition of CCD thermal properties. We investigated the temperature dependency of the various characteristics of CQUEAN CCD chip, including bias level, dark level, gain, and quantum efficiency (QE), with the CQUEAN observation and calibration data obtained during 2012 May run. We discuss the environmental effects, i.e., ambient temperature, as well as CCD temperature on the stability of its characteristics.

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