• 한국항행학회논문지
• /
• 제21권4호
• /
• pp.325-331
• /
• 2017

GPS 안전성에 대한 문제가 제기 되면서 ADS-B 대안 기술로 다변측정감시(MLAT; multilatration)시스템이 각광 받고 있다. MLAT는 항공기에 탑재된 트랜스폰더에서 송출되는 Mode A,C,S는 물론 1090ES(ADS-B) 신호를 지상의 여러 개의 수신기로 수신하여 항공기를 탐지하고 위치를 계산하며, GPS를 이용하는 ADS-B 수준의 위치 정밀도를 갖고 있으면서도 ADS-B와 달리 독립적으로 표적 위치를 계산 할 수 있다. 전 세계적인 환경변화에 따라 우리나라에서도 공항지역 이동차량 및 항공기 감시용으로 지역다변측정(LAM; local area multilateration)감시 시스템 개발 하고 있다. LAM시스템에 대한 지상 필드 시험을 태안 비행장에서 진행하고 있다. 본 논문에서는 태안 비행장에서 필드 시험 중인 MLAT의 위치 정확도를 확인하기 위하여, 지상에서 고정된 타겟과 움직이는 타겟에 대하여 MLAT 트렌스폰더와 RTK Rover를 설치하여 MLAT의 위치 정보와 RTK의 위치정보를 확인하여, RTK에서 보정된 위치 정보와 MLAT에서 계산되어진 위치정보를 비교하여 성능을 분석 하였다.

• 한국정보통신학회논문지
• /
• 제16권5호
• /
• pp.1083-1094
• /
• 2012

현재 상용화 되어 있는 위치 추정 시스템은 높은 정확도로 다양한 서비스에 폭넓게 사용되고 있다. 그러나 위치추정 시스템은 실내에서 완벽하게 설치하지 않을 경우 위치 추정 정확도가 매우 좋지 않은 경향을 보인다. 본 논문에서는 Location Fingerprint 기법을 활용하여 완벽하게 설치되지 않은 위치 추정 시스템으로부터 얻은 위치 정보를 보정하여 객체의 위치 정확도를 향상시켜 설치비용을 최소화할 수 있는 실내 위치 추정 알고리즘을 제안한다. 본 논문에서는 실내 환경에서 우수한 위치 정밀도를 제공하는 UWB 기반의 Ubisense 시스템을 활용하였다. 결론적으로, 본 논문에서는 위치 추정 시스템에서 측정한 객체의 위치 정보를 보정함으로써 위치 정확도를 향상시킬 수 있었다.

• 대한공간정보학회지
• /
• 제6권1호
• /
• pp.117-128
• /
• 1998

정보 유통단계를 준비하고 있는 국가기본도 수치지도는 각종 정확도 저해요인에 의해 품질에 대한 신뢰성 문제가 대두되고 있는 실정으로 다양한 작업방법과 단계에 의해 제작된 기존 수치지도에 대한 위치정화도의 검증 및 평가가 요망되고 있다. 본 연구에서는 국가기본도 수치지도제작 사업을 통해 기 제작된 1:1,000 및 1:5,000 축척의 수치지도를 대상으로 제작단계와 방법에 따른 위치정확도 분석을 통해 기존 수치지도의 정확도 한계를 규명함으로써 고품질의 수치지도 제작을 위한 기반을 조성하고 국가기본도 수치지도정보의 신뢰성 및 활용성 증대에 기여하는데 목적이 있다. 본 연구의 수행 결과, 축척별 기 제작 수치지도의 수평위치 및 수직위치정확도 한계를 파악할 수 있었으며, 제작방법 및 자료레이어별 위치오차 요인을 규명하므로써 향후 수치지도의 수정 및 갱신 시 정확도 개선에 기여할 수 있음을 알 수 있었다.

• Journal of Positioning, Navigation, and Timing
• /
• 제4권1호
• /
• pp.33-41
• /
• 2015

Compact Network Real-Time Kinematic (RTK) is a method that combines compact RTK and network RTK, and it can effectively reduce the time and spatial de-correlation errors. A network RTK user receives multiple correction information generated from reference stations that constitute a network, calculates correction information that is appropriate for one's own position through a proper combination method, and uses the information for the estimation of the position. This combination method is classified depending on the method for modeling the GPS error elements included in correction information, and the user position accuracy is affected by the accuracy of this modeling. Among the GPS error elements included in correction information, tropospheric delay is generally eliminated using a tropospheric model, and a combination method is then applied. In the case of a tropospheric model, the estimation accuracy varies depending on the meteorological condition, and thus eliminating the tropospheric delay of correction information using a tropospheric model is limited to a certain extent. In this study, correction information modeling accuracy performances were compared focusing on the Low-Order Surface Model (LSM), which models the GPS error elements included in correction information using a low-order surface, and a modified LSM method that considers tropospheric delay characteristics depending on altitude. Both of the two methods model GPS error elements in relation to altitude, but the second method reflects the characteristics of actual tropospheric delay depending on altitude. In this study, the final residual errors of user measurements were compared and analyzed using the correction information generated by the various methods mentioned above. For the performance comparison and analysis, various GPS actual measurement data were collected. The results indicated that the modified LSM method that considers actual tropospheric characteristics showed improved performance in terms of user measurement residual error and position domain residual error.

• 센서학회지
• /
• 제31권3호
• /
• pp.156-162
• /
• 2022

This study estimates the relative position between body segments using segment orientation and segment-to-joint center (S2J) vectors. In many wearable motion tracking technologies, the S2J vector is treated as a constant based on the assumption that rigid body segments are connected by a mechanical ball joint. However, human body segments are deformable non-rigid bodies, and they are connected via ligaments and tendons; therefore, the S2J vector should be determined as a time-varying vector, instead of a constant. In this regard, our previous study (2021) proposed a method for determining the time-varying S2J vector from the learning dataset using a regression method. Because that method uses a deformation-related variable to consider the deformation of S2J vectors, the optimal variable must be determined in terms of estimation accuracy by motion and segment. In this study, we investigated the effects of deformation-related variables on the estimation accuracy of the relative position. The experimental results showed that the estimation accuracy was the highest when the flexion and adduction angles of the shoulder and the flexion angles of the shoulder and elbow were selected as deformation-related variables for the sternum-to-upper arm and upper arm-to-forearm, respectively. Furthermore, the case with multiple deformation-related variables was superior by an average of 2.19 mm compared to the case with a single variable.

• 한국의학물리학회지:의학물리
• /
• 제27권4호
• /
• pp.213-219
• /
• 2016

The position verification of the radiation source utilized in brachytherapy forms a critical factor in determining the therapeutic efficiency. Currently, films are used to verify the source position; however, this method is encumbered by the lengthy time interval required from film scanning to analysis, which makes real-time position verification difficult. In general, the source position accuracy is usually tested in a monthly quality assurance check. In this context, this study investigates the feasibility of the real-time position verification of the radiation source in high dose rate (HDR) brachytherapy with the use of scintillating fibers. To this end, we construct a system consisting of scintillating fibers and a silicon photomultiplier (SiPM), optimize the dosimetric software setup and radiation system characteristics to obtain maximum measurement accuracy, and determine the relative ratio of the measured signals dependent upon the position of the scintillating fiber. According to the dosimetric results based on a treatment plan, in which the dwell time is set at 30 and 60 s at two dwell positions, the number of signals is 31.5 and 83, respectively. In other words, the signal rate roughly doubles in proportion to the dwell time. The source position can also be confirmed at the same time. With further improvements in the spatial resolution and scintillating fiber array, the source position can be verified in real-time in clinical settings with the use of a scintillating fiber-based system.

• 제어로봇시스템학회논문지
• /
• 제13권10호
• /
• pp.949-955
• /
• 2007

This paper proposes an efficient localization algorithm in the RFID sensor space for the precise localization of a mobile robot. The RFID sensor space consists of embedded sensors and a mobile robot. The embedded sensors, that is tags are holding the absolute position data and provide them to the robot which carries a reader and requests the absolute position fur localization. The reader, it is called as antenna usually, gets several tag data at the same time within its readable range. It takes time to read all the tags and to process the data to estimate the position, which is a major factor to deteriorate the localization accuracy. In this paper, an efficient algorithm to estimate the position and orientation of the mobile robot as quickly as possible has been proposed. Along with the algorithm, a new allocation of the tags in the RFID sensor space is also proposed to improve the localization accuracy. The proposed algorithms are demonstrated and verified through the real experiments.

• 한국자동차공학회논문집
• /
• 제20권4호
• /
• pp.16-24
• /
• 2012

This paper proposes a method utilizing Differential Global Position System (DGPS) with Real-Time Kinematic (RTK) and pre-built Geo-graphic Information System (GIS) to detect lane departure of a vehicle. The position of a vehicle measured by DGPS with RTK has 18 cm-level accuracy. The preconditioned GIS data giving accurate position information of the traffic lanes is used to set up coordinate system and to enable fast calculation of the relative position of the vehicle within the traffic lanes. This relative position can be used for safe driving by preventing the vehicle from departing lane carelessly. The proposed system can be a key component in functions such as vehicle guidance, driver alert and assistance, and the smart highway that eventually enables autonomous driving supporting system. Experimental results show the ability of the system to meet the accuracy and robustness to detect lane departure of a vehicle at high speed.

• 한국공작기계학회논문집
• /
• 제10권4호
• /
• pp.55-64
• /
• 2001

In this study, hemisphere and cylindrical shapes were machined for different tool paths and machining conditions with ball endmill cutters. Tool deflection, cutting forces and shape accuracy were measured according to the inclination position of the sculptured surface. As the decreasing of inclination position angle, the tool deflection was increased due to the decreased cutting speed when the cutting edge is approaching toward the center. Tool deflection when upward cutting is obtained less than that of downward cutting and down-milling in upward cutting showed the least tool deflection for the sculptured surface. Roundness values were found in least roundness error when down-milling in upward cutting. It is obtained the very little difference between 90。and 45。 of inclination position angle. The best surface roughness value was obtained in upward up-milling and showed different tendency with tool deflection and cutting force. For down-milling, the cutting resistance of the side wall direction is larger than that of feed direction. Therefore, this phenomenon which is received over cutting resistance can be caused of chatter.

• 대한공간정보학회지
• /
• 제24권2호
• /
• pp.37-46
• /
• 2016

The difference between definition time of GPS (Global Positioning System) position data and actual display time of car positions on a map could reduce the accuracy of car positions displayed in PND (Portable Navigation Device)-type CNS (Car Navigation System). Due to the time difference, the position of the car displayed on the map is not its current position, so an improved method to fix these problems is required. It is expected that a method that uses predicted future positionsto compensate for the delay caused by processing and display of the received GPS signals could mitigate these problems. Therefore, in this study an analysis was conducted to correct late processing problems of map positions by mapmatching using a Kalman filter with only GPS position data and a RRF (Road Reduction Filter) technique in a light-weight CNS. The effects on routing services are examined by analyzing differences that are decomposed into along and across the road elements relative to the direction of advancing car. The results indicate that it is possible to improve the positional accuracy in the along-the-road direction of a light-weight CNS device that uses only GPS position data, by applying a Kalman filter and RRF.