• 제목/요약/키워드: depth measurement

검색결과 1,585건 처리시간 0.028초

회전 평면경과 단일 카메라를 이용한 거리측정 시스템의 정밀도 분석 (Precision Analysis of the Depth Measurement System Using a Single Camera with a Rotating Mirror)

  • 김형석;나상익;한후석
    • 대한전기학회논문지:시스템및제어부문D
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    • 제52권11호
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    • pp.626-633
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    • 2003
  • Theoretical analysis of the depth measurement system with the use of a single camera and a rotating mirror has been done. A camera in front of a rotating mirror acquires a sequence of reflected images, from which depth information is extracted. For an object point at a longer distance, the corresponding pixel in the sequence of images moves at a higher speed. Depth measurement based on such pixel movement is investigated. Since the mirror rotates along an axis that is in parallel with the vertical axis of the image plane, the image of an object will only move horizontally. This eases the task of finding corresponding image points. In this paper, the principle of the depth measurement-based on the relation of the pixel movement speed and the depth of objects have been investigated. Also, necessary mathematics to implement the technique is derived and presented. The factors affecting the measurement precision have been studied. Analysis shows that the measurement error increases with the increase of depth. The rotational angle of the mirror between two image-takings also affects the measurement precision. Experimental results using the real camera-mirror setup are reported.

회전 평면경의 반사 영상을 이용한 단일 카메라 시스템의 거리측정 정밀도 분석 (Precision Analysis of a Single Camera-based Depth Measurement System using the Reflected Images of a Rotating Mirror)

  • 나상익;손흥락;김형석
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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    • pp.2323-2326
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    • 2003
  • Theoretical analysis of the depth measurement system with the use of a single camera and a rotating mirror has hem done. A camera in front of a rotating mirror acquires a sequence of reflected images, from which depth information is extracted. For an object pint at a longer distance, the corresponding pixel in the sequence of images moves at a higher speed. In this paper, the principle d the depth measurement-based on the relation of the pixel movement speed and the depth of objects have been investigated. Also, necessary mathematics to implement the technique is derived and presented. The factors affecting the measurement precision have been studied Analysis shows that the measurement m increases with the increase of depth. The rotational angle of the mirror between two image-takings also affects the measurement precision. Experimental results using the real camera-mirror setup are reported.

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Application of In Situ Measurement for Site Remediation and Final Status Survey of Decommissioning KRR Site

  • Hong, Sang Bum;Nam, Jong Soo;Choi, Yong Suk;Seo, Bum Kyoung;Moon, Jei Kwon
    • Journal of Radiation Protection and Research
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    • 제41권2호
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    • pp.173-178
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    • 2016
  • Background: In situ gamma spectrometry has been used to measure environmental radiation, assumptions are usually made about the depth distribution of the radionuclides of interest in the soil. The main limitation of in situ gamma spectrometry lies in determining the depth distribution of radionuclides. The objective of this study is to develop a method for subsurface characterization by in situ measurement. Materials and Methods: The peak to valley method based on the ratio of counting rate between the photoelectric peak and Compton region was applied to identify the depth distribution. The peak to valley method could be applied to establish the relation between the spectrally derived coefficients (Q) with relaxation mass per unit area (${\beta}$) for various depth distribution in soil. The in situ measurement results were verified by MCNP simulation and calculated correlation equation. In order to compare the depth distributions and contamination levels in decommissioning KRR site, in situ measurement and sampling results were compared. Results and Discussion: The in situ measurement results and MCNP simulation results show a good correlation for laboratory measurement. The simulation relationship between Q and source burial for the source layers have exponential relationship for a variety depth distributions. We applied the peak to valley method to contaminated decommissioning KRR site to determine a depth distribution and initial activity without sampling. The observed results has a good correlation, relative error between in situ measurement with sampling result is around 7% for depth distribution and 4% for initial activity. Conclusion: In this study, the vertical activity distribution and initial activity of $^{137}Cs$ could be identifying directly through in situ measurement. Therefore, the peak to valley method demonstrated good potential for assessment of the residual radioactivity for site remediation in decommissioning and contaminated site.

콘크리트용 무기계 방수제의 침투깊이 측정방법에 관한 연구 (A Study on the Penetration Depth Measurement Methods of Inorganic Waterproofing Agent for Concrete)

  • 최연왕;오성록;박만석;김경환
    • 한국구조물진단유지관리공학회 논문집
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    • 제18권3호
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    • pp.116-124
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    • 2014
  • 콘크리트용 무기계 방수제는 내부 막을 형성하지 않기 때문에 무기계 방수제의 침투깊이 정량적으로 평가하기 어렵다. 그러나 무기계 방수제의 침투깊이 평가는 일관된 침투효율을 확보하는데 있어서 매우 중요한 평가지표 중 하나이다. 따라서 본 논문에서는 콘크리트용 무기계 방수제의 침투깊이 측정방법을 고안하였으며, 고안된 침투깊이 측정방법을 통하여 기존 무기계 방수제의 침투깊이를 평가하였다. 실험결과 고안된 무기계 방수제의 침투깊이 측정방법을 통하여 평가된 침투깊이는 90% 이상의 신뢰성이 있는 것으로 나타났다.

이동 로봇을 위한 3차원 거리 측정 장치기반 비포장 도로 인식 (3D Depth Measurement System-based Unpaved Trail Recognition for Mobile Robots)

  • 김성찬;김종만;김형석
    • 제어로봇시스템학회논문지
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    • 제12권4호
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    • pp.395-399
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    • 2006
  • A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of unpaved trail are included in this paper.

거리센서 계측기반 이동물체의 인식 알고리즘 (vehicle Control Algorithm based on Depth Sensor Measurement System)

  • 김종만;김영민
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2008년도 춘계학술대회 논문집 센서 박막재료연구회 및 광주 전남지부
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    • pp.6-9
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    • 2008
  • A 3D depth measurement system is proposed for mobile vehicles. Depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to- the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of Non-linear trail are included in this paper.

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Calibration of the depth measurement system with a laser pointer, a camera and a plain mirror

  • Kim, Hyong-Suk;Lin, Chun-Shin;Gim, Seong-Chan;Chae, Hee-Sung
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.1994-1998
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    • 2005
  • Characteristic analysis of the depth measurement system with a laser, a camera and a rotating mirror has been done and the parameter calibration technique for it has been proposed. In the proposed depth measurement system, the laser beam is reflected to the object by the rotating mirror and again the position of the laser beam is observed through the same mirror by the camera. The depth of the object pointed by the laser beam is computed depending on the pixel position on the CCD. There involved several number of internal and external parameters such as inter-pixel distance, focal length, position and orientation of the system components in the depth measurement error. In this paper, it is shown through the error sensitivity analysis of the parameters that the most important parameters in the sense of error sources are the angle of the laser beam and the inter pixel distance. The calibration techniques to minimize the effect of such major parameters are proposed.

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실거리 파라미터 교정식 복합센서 기반 3차원 거리측정 시스템 (3D Depth Measurement System based on Parameter Calibration of the Mu1ti-Sensors)

  • 김종만;김원섭;황종선;김영민
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2006년도 영호남 합동 학술대회 및 춘계학술대회 논문집 센서 박막 기술교육
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    • pp.125-129
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    • 2006
  • The analysis of the depth measurement system with multi-sensors (laser, camera, mirror) has been done and the parameter calibration technique has been proposed. In the proposed depth measurement system, the laser beam is reflected to the object by the rotating mirror and again the position of the laser beam is observed through the same mirror by the camera. The depth of the object pointed by the laser beam is computed depending on the pixel position on the CCD. There involved several number of internal and external parameters such as inter-pixel distance, focal length, position and orientation of the system components in the depth measurement error. In this paper, it is shown through the error sensitivity analysis of the parameters that the most important parameters in the sense of error sources are the angle of the laser beam and the inter pixel distance.

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깊이불연속 형상 측정을 위한 레이저 응용 하이브리드 초점법 (A Laser-Applied Hybrid Focus Method for the Measurement of a Surface Morphology with Depth Discontinuity)

  • 김경범;신영수;문순환
    • 한국정밀공학회지
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    • 제23권9호
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    • pp.111-118
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    • 2006
  • A hybrid focus method with multiple laser slits is newly proposed for the measurement of surface morphology with depth discontinuity, and it is based on the integration of DFB and DFF. Rough depth information is estimated through calibration tables which are constructed by DFD with multiple laser slits, and then DFF is applied to only each specific depth range using the rough depth information resulting from DFD. The proposed hybrid method gives more accurate results than DFD and DFF, and faster measurement than DFF in the vicinity of depth discontinuity Its performance is verified through experiments of calibration blocks with sharp depth discontinuity.

3 차원 거리 측정 장치 기반 이동로봇용 비선형 도로 인식 (3D Depth Measurement System-based Nonliniar Trail Recognition for Mobile Robots)

  • 김종만;김원섭;신동용
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2007년도 하계학술대회 논문집 Vol.8
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    • pp.517-518
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    • 2007
  • A method to recognize unpaved road region using a 3D depth measurement system is proposed for mobile robots. For autonomous maneuvering of mobile robots, recognition of obstacles or recognition of road region is the essential task. In this paper, the 3D depth measurement system which is composed of a rotating mirror, a line laser and mono-camera is employed to detect depth, where the laser light is reflected by the mirror and projected to the scene objects whose locations are to be determined. The obtained depth information is converted into an image. Such depth images of the road region represent even and plane while that of off-road region is irregular or textured. Therefore, the problem falls into a texture identification problem. Road region is detected employing a simple spatial differentiation technique to detect the plain textured area. Identification results of the diverse situation of Nonlinear trail are included in this paper.

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