• 한국소음진동공학회논문집
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• 제25권8호
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• pp.568-574
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• 2015

The present study was conducted by using stereo pattern recognition method(SPR method) to measure the displacement and vibration of an airplane wing in flight condition. A SPR based measurement system was developed using two visible light stereo cameras. The visible light stereo images were processed to obtain marker points by adaptive threshold method and marker filtering technique. The marker points were used to reconstruct 3D point, displacement, and vibration data. The SPR system was installed on F-16 fighter. The wing displacement and vibration were measured in flight condition. Therefore, this paper presents a possibility that SPR based measurement system using visible light stereo camera can be very useful for measuring displacement and vibration of an airplane in flight condition.

• 한국항공우주학회지
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• 제39권5호
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• pp.442-450
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• 2011

회전 블레이드의 모션을 측정하기 위해 스테레오 패턴 인식 (stereo pattern recognition, SPR) 기법을 적용한 측정 시스템을 구성하고 실험을 수행하였다. 시스템 요구사항을 만족시키는 스테레오 카메라를 확보하여 SPR 기반의 측정 시스템을 준비하였다. 시스템의 측정불확도를 계산하기 위한 일련의 실험을 통해, 본 SPR 시스템이 2m~4.2m의 측정 거리에서 0.2mm 이내의 표준불확도를 가짐을 확인하였다. 이를 이용하여 계산한 블레이드 모션의 합성표준불확도는, 리드-래그, 플래핑, 비틀림 운동에 대해 각각 0.296mm, 0.209mm, $0.238^{\circ}$ 이었다. 본 SPR 시스템을 한국항공우주연구원의 소형로터 시험장치에 설치하고 회전속도와 콜렉티브 피치각을 각각 360rpm, 589rpm, 그리고 $0^{\circ}$, $4^{\circ}$, $6^{\circ}$로 바꾸어가며, 지상 제자리비행 조건에서 블레이드의 모션과 탄성 변형을 성공적으로 측정하였다. Higher Harmonic Control Aeroacoustic Rotor Test -II 에서 사용한 측정 시스템과의 비교를 통하여 본 시스템의 장점을 분석하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권10호
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• pp.2679-2691
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• 2012

In this paper, a high accuracy stereo reconstruction method for surgery instruments positioning is proposed. Usually, the problem of surgical instruments reconstruction is considered as a basic task in computer vision to estimate the 3-D position of each marker on a surgery instrument from three pairs of image points. However, the existing methods considered the 3-D reconstruction of the points separately thus ignore the structure information. Meanwhile, the errors from light variation, imaging noise and quantization still affect the reconstruction accuracy. This paper proposes a method which takes the structure information of surgical instruments as constraints, and reconstructs the whole markers on one surgical instrument together. Firstly, we calibrate the instruments before navigation to get the structure parameters. The structure parameters consist of markers' number, distances between each markers and a linearity sign of each instrument. Then, the structure constraints are added to stereo reconstruction. Finally, weighted filter is used to reduce the jitter. Experiments conducted on surgery navigation system showed that our method not only improve accuracy effectively but also reduce the jitter of surgical instrument greatly.

• International Journal of Aeronautical and Space Sciences
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• 제16권3호
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• pp.380-393
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• 2015

This study presents how we can evaluate stereo camera systems for the structural deformation monitoring. A stereo camera system, consisting of a set of stereo cameras and reflective markers attached on the structure, is introduced for the measurement and the stereo pattern recognition (SPR) method is utilized for the full-field structural deformation estimation. Performance of this measurement system depends on many parameters including types and specifications of the cameras, locations and orientations of them, and sizes and positions of markers; it is difficult to experimentally identify the effects of each parameter on the measurement performance. In this study, a simulation framework for evaluating performance of the stereo camera systems with various parameters has been developed. The maximum normalized root-mean-square (RMS) error is defined as a representative index of stereo camera system performance. A plate structure is chosen for an introductory example. Its several modal harmonic vibrations are generated and estimated in the simulation framework. Two cases of simulations are conducted to see the effects of camera locations and the resolutions of the cameras. An experimental validation is carried out for a few selected cases from the simulations. Using the simultaneous laser displacement sensor (LDS) measurements as the reference, the measurement errors are obtained and compared with the simulations.

• 한국항공우주학회지
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• 제48권8호
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• pp.597-609
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• 2020

동축 로터 시스템은 기존의 헬리콥터뿐만 아니라 드론, PAV, 차세대 고속 회전익기 및 화성탐사용 헬리콥터에 적용되는 등, 활용 분야가 점점 넓어지고 있다. 로터 시스템의 성능 연구는 기존 연구에서 동축 로터를 대상으로도 여러 차례 수행되었으나, 로터 블레이드의 변형에 대한 연구는 주로 단일 로터 시스템만을 대상으로 진행되었다. 하지만 동축 로터 시스템에서는 주변에서 발생하는 유동이 복잡하며, 두 로터의 간격이 로터 시스템 전체의 성능에 주요한 영향을 주므로 블레이드의 변형 연구가 더욱 중요하다. 이에 본 연구에서는 최신식 고속 영상촬영 기법 중 하나인 SPR(Stereo Pattern Recognition) 기법을 사용해 동축 로터 블레이드의 변형 측정에 대한 실험적 연구를 수행하였다. 본 연구에는 한국항공우주연구원에서 개발한 축소 동축 로터 시험장치가 사용되었으며, 로터 블레이드의 변형과 성능의 연관성을 고찰하기 위해 동축 로터 시스템의 성능시험이 선행되었다. 해당 시스템의 로터 블레이드 변형을 SPR 기법으로 측정한 결과는 사전에 진행된 성능시험 결과와 함께 본 논문에 제시되었다.

• International Journal of Aeronautical and Space Sciences
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• 제18권3호
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• pp.414-424
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• 2017

This paper introduces an experimental device which can measure accurate aerodynamic forces without support interference in wide experimental region for wind tunnel test of micro aerial vehicles (MAVs). A stereo pattern recognition (SPR) method was introduced to a magnetic suspension and balance system (MSBS), which can eliminate support interference by levitating the experimental model, to establish wider experimental region; thereby MSBS-SPR integrated system was developed. The SPR method is non-contact, highly accurate three-dimensional position measurement method providing wide measurement range. To evaluate the system performance, a series of performance evaluations including SPR system measurement accuracy and 6 degrees of freedom (DOFs) position/attitude control of the MAV model were conducted. This newly developed system could control the MAV model rapidly and accurately within almost 60mm for translational DOFs and 40deg for rotational DOFs inside of $300{\times}300mm$ test section. In addition, a static wind tunnel test was conducted to verify the aerodynamic force measurement capability. It turned out that this system could accurately measure the aerodynamic forces in low Reynolds number, even for the weak forces which were hard to measure using typical balance system, without making any mechanical contact with the MAV model.

• Journal of information and communication convergence engineering
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• 제9권1호
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• pp.83-88
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• 2011

Abstract. Image segmentation is always a challenging task in computer vision as well as in pattern recognition. Nowadays, this method has great importance in the field of stereo vision. The disparity information extracting from the binocular image pairs has essential relevance in the fields like Stereoscopic (3D) Imaging Systems, Virtual Reality and 3D Graphics. The term 'disparity' represents the horizontal shift between left camera image and right camera image. Till now, many methods are proposed to visualize or estimate the disparity. In this paper, we present a new technique to visualize the horizontal disparity between two stereo images based on image segmentation method. The process of comparing left camera image with right camera image is popularly known as 'Stereo-Matching'. This method is used in the field of stereo vision for many years and it has large contribution in generating depth and disparity maps. Correlation based stereo-matching are used most of the times to visualize the disparity. Although, for few stereo image pairs it is easy to estimate the horizontal disparity but in case of some other stereo images it becomes quite difficult to distinguish the disparity. Therefore, in order to visualize the horizontal disparity between any stereo image pairs in more robust way, a novel stereo-matching algorithm is proposed which is named as "Quadtree Segmentation of Pixels Disparity Estimation (QSPDE)".

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.313-322
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• 2020

The recognition of the risk hazards is a vital step to effectively prevent accidents on a construction site. The advanced development in computer vision systems and the availability of the large visual database related to construction site made it possible to take quick action in the event of human error and disaster situations that may occur during management supervision. Therefore, it is necessary to analyze the risk factors that need to be managed at the construction site and review appropriate and effective technical methods for each risk factor. This research focuses on analyzing Occupational Safety and Health Agency (OSHA) related to risk zone identification rules that can be adopted by the image recognition technology and classify their risk factors depending on the effective technical method. Therefore, this research developed a pattern-oriented classification of OSHA rules that can employ a large scale of safety hazard recognition. This research uses joint reasoning of risk zone Identification and numeric input by utilizing a stereo camera integrated with an image detection algorithm such as (YOLOv3) and Pyramid Stereo Matching Network (PSMNet). The research result identifies risk zones and raises alarm if a target object enters this zone. It also determines numerical information of a target, which recognizes the length, spacing, and angle of the target. Applying image detection joint logic algorithms might leverage the speed and accuracy of hazard detection due to merging more than one factor to prevent accidents in the job site.

• 환경영향평가
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• 제27권5호
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• pp.475-488
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• 2018

현재 도심 소하천의 식생조사는 주로 현장조사에 의존하여 이루어진다. UAV NIR(Unmanned Aerial Vehicle Near Infrared) 영상은 매우 낮은 고도에서 취득할 수 있어 도심 소하천과 같이 폭이 매우 좁은 표적(10m 내외)에 필요한 정보를 효율적으로 제공할 수 있다. 하지만 UAV NIR영상이 도심소하천의 식생 조사도구로서 검증되지 않아, UAV NIR 영상과 현장사진을 통합한 선행연구는 존재하지 않는다. 따라서 본 연구에서는 전통적인 원격탐사의 영역이 아니었던 국부적인 대상인 도심소하천 식생조사에서 UAV NIR 영상과 현장사진의 비교평가를 실시하였다. 하천 식생조사 결과를 실무에서 활용하는데 필요한 요구 사항을 고려하여 광역공간정보, 미시적인 정보 및 정량적인 데이터 확보 등 다양한 측면에서 분석이 수행되었다. UAV NIR 영상은 전통적인 현장조사에서 취득할 수 없었던 거시적인 주변 환경(예: 인공적인 토지 이용에 따른 영향)에 따른 식생군집패턴의 변화를 추적할 수 있었다. 현장조사는 전세계적으로 도심 소하천 식생 모니터링 방법으로 정착되었지만, 거시적인 정보의 취득에서 상당한 한계를 노출하였으며 정량적인 정보를 확보하는 과정에서도 신뢰성에 한계를 노출하였다. 본 연구가 도심 소하천의 식생조사에서 거시적이고 정량화되고 객관적인 데이터가 부재하여 직면하였던 한계를 극복할 수 있는 계기가 되어 향후 UAV NIR 원격탐사에서 확보할 수 있는 정보의 수준을 파악할 수 있는 중요한 참고자료가 될 수 있을 것으로 사료된다.