• Title/Summary/Keyword: 상대 위치 추정

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편대위성의 상대위치 정밀도 순차처리 검증방법

  • Choe, Jong-Yeon;Lee, Sang-Jeong
    • Bulletin of the Korean Space Science Society
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    • 2011.04a
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    • pp.25.3-25.3
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    • 2011
  • 지구 또는 우주 원격탐사 및 관측에서 진일보한 임무 수행을 위해 위성 편대 비행의 필요성이 점차 부상하고 있다. 편대 비행은 단일 위성으로는 실현하기가 어렵거나 불가능한 과학적인 임무를 수행할 수 있다. 다양한 위성 편대 비행 기술에서 중요한 기술 중에 하나는 편대 위성간의 정밀기선결정 기술이며, 정밀도 검증 기술도 함께 동반되어야 한다. 이 논문에서는 Gravity Recovery and Climate Experiment(GRACE) 위성의 실제 Global Positioning System(GPS) 데이터를 사용하여 GRACE A와 B 두 위성의정밀기선결정을 수행하였다. 그리고 K/Ka-Band Ranging system(KBR) 바이어스 거리측정값으로 일괄처리 및 순차처리 방법을 통해 정밀도를 검증하였다. 제안된 순차처리 방법은 KBR 바이어스를 추정하는 대신에 기산점 차분으로 이를 제거하여 정밀도를 검증하기 때문에 검증자(KBR baised range)가 피검증자(GPS-baseline)와 독립적이고 실시간 정밀도 검증에 적용이 가능하다. 그 결과 일괄처리 검증방법과 유사한 1.5 ~ 3.0 mm의 순차처리 정밀도 검증 결과를 얻었다.

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Plant Recovery of the Burnt Area around Samsinbong in Chirisan National Park (지리산국립공원 삼신봉주변 산불지역의 식생회복현황)

  • 김정호
    • Korean Journal of Environment and Ecology
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    • v.14 no.1
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    • pp.18-27
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    • 2000
  • 지리산국립공원 동부지역인 경남하동군 화개면에 위치하는 삼신봉(해발 1,284m) 산림 중 산불이 발생하였던 지역의 식생회복현황을 파악하기 위해 산불이 발생하였던 지역에 20개 조사구 대조지역에 12개 조사구를 설정하고 연구를 수행하였다 산불이 발생하였던 지역에 설정한 20개 조사구를 대상으로 TWINSPAN과 DCA를 분석한 결과 신갈나무군집(I) 신갈나무-쇠물푸레군집(II) 으로 분리되었고 대조지역에 설정한 조사구는 신갈나무군집(II)이었다 군집 I과 군집II에서 교목층과 아교목층의 대부분 수목이 고사상태이었고 관목층에서는 산화후 천이 초기에 나타나는 조록싸리가 우점하고 있었다 상대우점치와 유사도지수를 분석한 결과 산불이 발생하였던 신갈나무군집(I) 신갈나무-쇠물푸레군집(II) 은 대조구인 신갈나무군집(III)과 유사도지수분석에서 유사성이 높았는데 산불발생 이후 피해를 입은 신갈나무가 맹아에 의해 회복속도가 빠른 것으로 추정되었다 Shannon의 종다양도는 산불지역(군집 I,II)에서 각각 0.3259, 0.4727이었고 대조구 (군집III)는 0.1084로 나타났다.

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Smartphone Based FND Recognition Method using sequential difference images and ART-II Clustering (차영상과 ART2 클러스터링을 이용한 스마트폰 기반의 FND 인식 기법)

  • Koo, Kyung-Mo;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.7
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    • pp.1377-1382
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    • 2012
  • In this paper, we propose a novel recognition method that extract source data from encoded signal that are displayed on FND mounted on home appliances. First of all, it find a candidate FND region from sequential difference images taken by smartphone and extract segment image using clustering RGB value. After that, it normalize segment images to correct a slant error and recognize each segments using a relative distance. Experiments show the robustness of the recognition algorithm on smartphone.

A Study on the Relative Localization Algorithm for Mobile Robots using a Structured Light Technique (Structured Light 기법을 이용한 이동 로봇의 상대 위치 추정 알고리즘 연구)

  • Noh Dong-Ki;Kim Gon-Woo;Lee Beom-Hee
    • Journal of Institute of Control, Robotics and Systems
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    • v.11 no.8
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    • pp.678-687
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    • 2005
  • This paper describes a relative localization algorithm using odometry data and consecutive local maps. The purpose of this paper is the odometry error correction using the area matching of two consecutive local maps. The local map is built up using a sensor module with dual laser beams and USB camera. The range data form the sensor module is measured using the structured lighting technique (active stereo method). The advantage in using the sensor module is to be able to get a local map at once within the camera view angle. With this advantage, we propose the AVS (Aligned View Sector) matching algorithm for. correction of the pose error (translational and rotational error). In order to evaluate the proposed algorithm, experiments are performed in real environment.

Localization Algorithm of Multiple-AUVs Utilizing Relative 3D Observations (3차원 상대 관측 정보를 통한 다중자율무인잠수정의 위치추정 알고리즘)

  • Choi, Kihwan;Lee, Gwonsoo;Lee, Phil-Yeob;Kim, Ho Sung;Lee, Hansol;Kang, Hyungjoo;Lee, Jihong
    • The Journal of Korea Robotics Society
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    • v.17 no.2
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    • pp.110-117
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    • 2022
  • This paper describes a localization algorithm utilizing relative observations for multiple autonomous underwater vehicles (Multiple-AUVs). In order to maximize the efficiency of operation and mission accomplishment and to prevent problems such as collision and interference, the locations and directions of Multiple-AUVs must be precisely estimated. To estimate the locations and directions, we designed a localization algorithm utilizing relative observations and verified it with simulations based on sensor data sets acquired through real sea experiments. Also, an optimal combination of relative observation information for efficient localization is figured out through combining various relative observations. The proposed method shows improved localization results compared to those only using the navigation algorithm. The performance of localization is improved up to 58% depending on the combination of relative observations.

Physical Offset of UAVs Calibration Method for Multi-sensor Fusion (다중 센서 융합을 위한 무인항공기 물리 오프셋 검보정 방법)

  • Kim, Cheolwook;Lim, Pyeong-chae;Chi, Junhwa;Kim, Taejung;Rhee, Sooahm
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1125-1139
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    • 2022
  • In an unmanned aerial vehicles (UAVs) system, a physical offset can be existed between the global positioning system/inertial measurement unit (GPS/IMU) sensor and the observation sensor such as a hyperspectral sensor, and a lidar sensor. As a result of the physical offset, a misalignment between each image can be occurred along with a flight direction. In particular, in a case of multi-sensor system, an observation sensor has to be replaced regularly to equip another observation sensor, and then, a high cost should be paid to acquire a calibration parameter. In this study, we establish a precise sensor model equation to apply for a multiple sensor in common and propose an independent physical offset estimation method. The proposed method consists of 3 steps. Firstly, we define an appropriate rotation matrix for our system, and an initial sensor model equation for direct-georeferencing. Next, an observation equation for the physical offset estimation is established by extracting a corresponding point between a ground control point and the observed data from a sensor. Finally, the physical offset is estimated based on the observed data, and the precise sensor model equation is established by applying the estimated parameters to the initial sensor model equation. 4 region's datasets(Jeon-ju, Incheon, Alaska, Norway) with a different latitude, longitude were compared to analyze the effects of the calibration parameter. We confirmed that a misalignment between images were adjusted after applying for the physical offset in the sensor model equation. An absolute position accuracy was analyzed in the Incheon dataset, compared to a ground control point. For the hyperspectral image, root mean square error (RMSE) for X, Y direction was calculated for 0.12 m, and for the point cloud, RMSE was calculated for 0.03 m. Furthermore, a relative position accuracy for a specific point between the adjusted point cloud and the hyperspectral images were also analyzed for 0.07 m, so we confirmed that a precise data mapping is available for an observation without a ground control point through the proposed estimation method, and we also confirmed a possibility of multi-sensor fusion. From this study, we expect that a flexible multi-sensor platform system can be operated through the independent parameter estimation method with an economic cost saving.

A Regression-Based Estimation of Strain Distribution for Safety Monitoring of the Steel Girder Subjected to Uncertain Loads (불확실한 하중을 받는 강재 보 구조물 안전도 모니터링을 위한 변형률 분포의 회귀 분석적 추정)

  • Lee, Ji Hoon;Choi, Se Woon;Park, Hyo Seon
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.17 no.2
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    • pp.10-20
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    • 2013
  • To evaluate the safety of a beam structure, strains are measured as an indicator of structural states. However, unless strain sensors are installed exactly on where maximum or other representative strains occur, the techniques by which rational assessment through measured strains is accomplished are required. Thus, this study suggests a process to estimate strain distribution on the steel beam from discrete strains measured by sensors. In the presented technique, the targeted beam is regarded to be subjected to unknown loads so that applicability is enhanced. Final strain distribution is given as form of a function after regression analysis. To verify the performance of estimation, a bending test for steel beam on which distributed and concentrated loads simultaneously act is conducted. From the comparison between estimated and directly measured strains in the test, the curve of strain distribution and the strain at arbitrary location could be predicted within maximum relative error 3.32% and maximum absolute error of $2.32{\mu}{\varepsilon}$, respectively. Thus reliable and practical monitoring is expected to apply effectively for the steel beam structure.

Impact of Mathematical Modeling Schemes into Accuracy Representation of GPS Control Surveying (수학적 모형화 기법이 GPS 기준점 측량 정확도 표현에 미치는 영향)

  • Lee, Hungkyu;Seo, Wansoo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.30 no.5
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    • pp.445-458
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    • 2012
  • The objective of GPS control surveying is ultimately to determine coordinate sets of control points within targeted accuracy through a series of observations and network adjustments. To this end, it is of equivalent importance for the accuracy of these coordinates to be realistically represented by using an appropriate method. The accuracy representation can be quantitively made by the variance-covariance matrices of the estimates, of which features are sensitive to the mathematical models used in the adjustment. This paper deals with impact of functional and stochastic modeling techniques into the accuracy representation of the GPS control surveying with a view of gaining background for its standardization. In order to achieve this goal, mathematical theory and procedure of the single-baseline based multi-session adjustment has been rigorously reviewed together with numerical analysis through processing real world data. Based on this study, it was possible to draw a conclusion that weighted-constrained adjustment with the empirical stochastic model was among the best scheme to more realistically describe both of the absolute and relative accuracies of the GPS surveying results.

Mapping Species-Specific Optimal Plantation Sites Based on Environmental Variables in Namwon City, Korea (환경요인을 이용한 남원시의 적지적수도 제작)

  • Moon, Ga Hyun;Kim, Yong Suk;Lim, Joo Hoon;Shin, Man Yong
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.17 no.2
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    • pp.126-135
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    • 2015
  • This study was conducted to develop a large scale map of species-specific plantation sites based on selected environmental variables such as topography, soil, and climatic factors in Namwon city. Site index equations by tree species were first regressed to 27 environmental variables that could influence the productivity of forest sites using digital forest site maps, digital climate maps, and the 5th National Forest Inventory data. Site index equations by tree species were all evaluated to estimate site productivity using 4-5 environmental variables, and the models' reliability was confirmed based on evaluation statistics. The determination coefficients of site index equations by species ranged from 0.42 to 0.76. With the site index equations, the site conditions appropriate for productive sites by species were considered to assess spatial distribution of productive areas for each species. The final map for optimal plantation in Namwon city was produced based on both site index equations and site conditions appropriate for productive sites by each species using GIS technique. Field survey was conducted to evaluate the suitability of selected species on the map of species-specific plantation sites. Results showed that the plantation map provides relatively reasonable spatial distribution of productive areas for selected species. It was revealed, however, that the sites evaluated as 'not suitable' for any tree species should be revised and complemented with additional information, especially with the site conditions appropriate for productive sites by species of interest. The outcomes of this study are expected to provide information for making customized species-specific plantation maps.

Head Mouse System Based on A Gyro and Opto Sensors (각속도 및 광센서를 이용한 헤드 마우스)

  • Park, Min-Je;Yoo, Jae-Ha;Kim, Soo-Chan
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.46 no.4
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    • pp.70-76
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    • 2009
  • We proposed the device to control a computer mouse with only head movements and eye blinks so that disabilities by car or other accidents can use a computer. The mouse position were estimated from a gyro-sensor which can measure head movements, and the mouse events such as click/double click were from opto sensors which can detect the eyes flicker, respectively. The sensor was mounted on the goggle in order not to disturb the visual field. There was no difference in movement speed between ours and a general mouse, but it required 3$\sim$4 more times in the result of the experiment to evaluate spatial movements and events detection of the proposed mouse because of the low accuracy. We could eliminate cumbersome work to periodically remove the accumulated error and intuitively control the mouse using non-linear relative point method with dead zones. Optical sensors are used in the event detection circuitry designed to remove the influence of the ambient light changes, therefore it was not affected in the change of external light source.