• 한국지능시스템학회논문지
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• 제21권5호
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• pp.667-672
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• 2011

본 논문은 AGV(automatic guided vehicle)의 위치측정 정밀도 향상을 위해 UKF(unscented Kalman filter)를 이용한 위치 측정 센서의 융합 방법에 관한 연구이다. 기존의 AGV를 위한 유도 방법에는 유선 유도 방식과 마그네틱 유도 방식이 있었다. 이들은 정밀도가 높고 반응속도가 빠르기 때문에 대부분의 유연 생산 시스템에서 사용되어지고 있었다. 하지만 이러한 방법들은 유지 보수에 대한 지속적인 노력과 비용의 문제가 발생되었고 완성된 경로의 변경이 어렵다는 단점이 있었다. 이러한 문제들을 해결하기 위해, 최근에는 레이저 내비게이션을 이용한 유도방식으로 변경되고 있는 추세이다. 레이저 내비게이션은 벽면에 설치된 반사체를 측정하여 전역위치를 측정하는 장치로써 정밀도가 높고 경로 변경에 유연하다는 장점이 있다. 하지만 이 또한, 응답속도가 느리고 AGV의 주행 중 발생되는 반사체 계측 오차에 따라 위치측정 정밀도가 낮아진다는 단점이 있다. 이에 본 논문에서는 UKF를 이용하여 응답속도가 빠른 지역위치센서와 레이저 내비게이션의 센서융합 방법을 제안한다. 제안된 방법은 주행 중 발생되는 센서들의 오차를 분석하고 이에 따른 모델을 설계하여 위치측정 정밀도를 향상 시키는 방법이다. 본 논문에서는 실험을 위해서 직접 설계한 차축구동 방식의 지게차 AGV를 이용하여 제안한 방법의 결과와 레이저 내비게이션의 위치측정 결과를 비교하였다. 실험 결과, 제안된 방법이 레이저 내비게이션의 위치 측정 결과보다 16% 만큼 정밀도가 향상되는 것을 확인하였다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2003년도 추계학술발표회 논문집
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• pp.199-204
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• 2003

Digital high resolution cameras are widely available, and are increasingly use in digital close-range photogrammetry. And photogrammetry instruments are developing rapidly and the precision is improving continuously, The building of 3D terrains of high precision are possible and the calculation of the areas or the earthwork volumes have high precision due to the development of the technique of the spatial information system using computer, In this study, using the digital camera which has capacity of keeping numerical value by itself and easy carrying, we analyze the positioning error according to various change of photographing condition. Also we t]v to find a effective method of acquiring basis data for 3D monitoring of high-accuracy in pixel degree through digital close-range photogrammetry with bundle adjustment for local terrain model generation and earthwork volume.

• 한국측량학회지
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• 제26권5호
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• pp.493-504
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• 2008

SBAS(Space-Based Augmentation System)는 광역보정항법시스템(WADGPS, Wide Area DGPS)으로써 지역 보정항법시스템(LADGPS, Local Area DGPS)의 단점을 보완한 위성항법 보정시스템이다. 이 연구에서는 GPS 측위의 대표적인 방법인 실시간 이동측위(RTK; Real-Time Kinematic), DGPS(Differential GPS) 측위, 단독측위(Standalone)와 SBAS 이동측위를 실시하고 그에 따른 측위 정확도 비교를 통해 SBAS 이동측위의 성능을 분석하였다. 정지측위 결과 산출한 좌표를 참값으로 간주하였고, 각각의 측위방법으로 획득한 관측데이터를 참값과 비교하여 계산한 2차원 평균제곱근(RMS: Root Mean Square)오차와 3차원 RMS 오차를 정확도 비교의 지표로 사용하였다. 그 결과, 각 측위방법에 따른 3차원 RMS 오차는 RTK 측위 13.1cm, DGPS 측위 126.0cm, 이중주파수 단독측위 135.7cm, 단일주파수 단독측위 428.9cm, 그리고 SBAS 측위 109.2cm로 나타났다. 이를 통해 SBAS 측위의 정확도가 DGPS 측위 정확도와 대등한 수준임을 확인할 수 있었다.

• Journal of Positioning, Navigation, and Timing
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• 제6권4호
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• pp.159-166
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• 2017

The position of autonomous driving vehicle is basically acquired through the global positioning system (GPS). However, GPS signals cannot be received in tunnels. Due to this limitation, localization of autonomous driving vehicles can be made through sensors mounted on them. In particular, a 3D Light Detection and Ranging (LIDAR) system is used for longitudinal position error correction. Few feature points and structures that can be used for localization of vehicles are available in tunnels. Since lanes in the road are normally marked by solid line, it cannot be used to recognize a longitudinal position. In addition, only a small number of structures that are separated from the tunnel walls such as sign boards or jet fans are available. Thus, it is necessary to extract usable information from tunnels to recognize a longitudinal position. In this paper, fire hydrants and evacuation guide lights attached at both sides of tunnel walls were used to recognize a longitudinal position. These structures have highly distinctive reflectivity from the surrounding walls, which can be distinguished using LIDAR reflectivity data. Furthermore, reflectivity information of tunnel walls was fused with the road surface reflectivity map to generate a synthetic reflectivity map. When the synthetic reflectivity map was used, localization of vehicles was able through correlation matching with the local maps generated from the current LIDAR data. The experiments were conducted at an expressway including Maseong Tunnel (approximately 1.5 km long). The experiment results showed that the root mean square (RMS) position errors in lateral and longitudinal directions were 0.19 m and 0.35 m, respectively, exhibiting precise localization accuracy.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.1003-1006
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• 2009

최근 유비쿼터스 컴퓨팅 기술에 대한 관심이 높아짐에 따라 다양한 응용 서비스를 만족하기 위한 객체의 인식 및 위치 기반 서비스의 필요성이 증대하고 있다. 이러한 위치추적 기술은 유비쿼터스 환경에서 사용자의 상황인지에 관한 기본요소로써 기존 무선 센서 네트워크 인프라에서 통용되는 IEEE 802.15.4 ZigBee를 이용하여 효율성을 높여야 한다. 하지만 IEEE 802.15.4 프로토콜은 ToA, TDoA 등의 위치측위 기술을 적용하기에는 한계가 있으므로 RSSI를 이용한 Zone 기반 위치추적 기술을 필요로 한다. 본 논문에서는 유비쿼터스 환경의 위치추적 서비스를 지원하기 위한 802.15.4 ZigBee의 RSSI 기반 위치검출 알고리즘을 제안한다. 또한 실제적인 실내 위치추적 서비스를 위한 Zone 기반 위치추적 시스템을 설계 및 구현한다.

• 한국ITS학회 논문지
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• 제13권2호
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• pp.27-33
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• 2014

This paper proposes a gradation image processing method for the development of a Road Sign Recognition Platform (RReP), which aims to facilitate the rapid and accurate management and surveying of approximately 160,000 road signs installed along the highways, national roadways, and local roads in the cities, districts (gun), and provinces (do) of Korea. RReP is based on GPS(Global Positioning System), IMU(Inertial Measurement Unit), INS(Inertial Navigation System), DMI(Distance Measurement Instrument), and lasers, and uses an imagery information collection/classification module to allow the automatic recognition of signs, the collection of shapes, pole locations, and sign-type data, and the creation of road sign registers, by extracting basic data related to the shape and sign content, and automated database design. Image division and merging, which were applied in this study, produce superior results compared with local binarization method in terms of speed. At the results, larger texts area were found in images, the accuracy of text recognition was improved when images had been gradated. Multi-threshold values of natural scene images are used to improve the extraction rate of texts and figures based on pattern recognition.

• Journal of Biosystems Engineering
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• 제38권4호
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• pp.255-263
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• 2013

Purpose: It is not easy to drive a rice-transplanter avoiding underlapped or overlapped transplanting in paddy fields. An automated guidance system for the riding-type rice-transplanter would be necessary to operate the rice-transplanter autonomously or to assist the beginning drivers as a driving aid. Methods: A prototype of guidance system was composed of embedded computers, RTK-GPS, and a power-steering mechanism. Two Kalman filters were adopted to overcome sparse positioning data (1 Hz) from the RTK-GPS. A global Kalman filter estimated the posture of rice-transplanter every one second, and a local Kalman filter calculated the posture from every new estimation of the global Kalman filter with an interval of 200 ms. A PID controller was applied to the row-following mode control. A control method of U-turning mode was developed as well. A stepping motor with a reduction gear set was used to rotate the shaft of steering wheel. Results: Test trials for U-turning and row-following modes were done in a paddy field after some parameters have been tuned at the ground speed range of 0.3 ~ 1.2 m/s. The minimum RMS error of offset was 3.13 cm at the ground speed of 0.3 m/s while the maximum RMS error was 13.01 cm at 1.2 m/s. The offset RMS error tended to increase as the ground speed increased. The target point distance, LT also affected the system performance and PID controller parameters should be adjusted on different ground speeds. Conclusions: A target angle-based PID controller plus stationary steering angle controller made it possible for the rice-transplanter to steer autonomously by following a reference line accurately and even on U-turning mode. However, as condition in paddy fields is very complicated, the system should control the ground speed that prevents it from deviating too much due to ditch and slope.

• 대한공간정보학회지
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• 제25권2호
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• pp.31-37
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• 2017

최근 정부기관 및 지자체에서는 화재, 납치 등 긴급구조에 스마트폰의 위치정보를 활용하기 위한 방안을 모색하고 있는 실정이다. 이에 본 연구에서는 긴급상황에서 활용 가능한 정밀측위정보를 구축하기 위해 스마트폰 위치정보와 mobile mapping system을 활용하여 정위치 기반의 Wi-Fi AP 데이터를 신속하게 수집 구축할 수 있는 방안을 제시하였다. 수집된 성과를 통해 GPS/INS/DMI에 대한 보정작업을 실시하여 정확한 수집차량의 위치를 취득하였다. 또한 Wi-Fi AP 수집기와 GPS 시각을 기준으로 커플링하여 Wi-Fi 정보와 수집위치를 통합한 원시데이터를 구축하고, 측위성능을 저하시키는 Wi-Fi AP 신호의 잡음 제거를 통해 Wi-Fi radiomap을 구축하였다. 각 자치구별로 10개의 테스트 지점을 선정하여 측위성능평가를 실시한 결과, 전체 자치구 평균은 25.46m, 표준편차는 27.76m의 결과 값을 얻을 수 있었다. 이러한 결과는 현재 사용하고 있는 이동통신사 기지국 측위(200m~2km)와 실내에서 불가능한 GPS 측위기술을 보완하거나 대체할 수 있는 기술로서 활용 가능할 것으로 판단된다.

• Journal of Positioning, Navigation, and Timing
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• 제5권1호
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• pp.11-20
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• 2016

In this paper, a system that can collect GPS L1 C/A, GLONASS G1, and BDS B1I signals with single front-end receiver was implemented using a universal software radio peripheral (USRP) and its performance was verified. To acquire the global navigation satellite system signals, hardware was configured using USRP, antenna, external low-noise amplifier, and external oscillator. In addition, a value of optimum local oscillator frequency was selected to sample signals from three systems with L1-band with a low sampling rate as much as possible. The comparison result of C/N0 between the signal collection system using the proposed method and commercial receiver using double front-end showed that the proposed system had 0.7 ~ 0.8dB higher than that of commercial receiver for GPS L1 C/A signals and 1 ~ 2 dB lower than that of commercial receiver for GLONASS G1 and BDS B1I. Through the above results, it was verified that signals collected using the three systems with a single USRP had no significant error with that of commercial receiver. In the future, it is expected that the proposed system will be combined with software-defined radio (SDR) and advanced to a receiver that has a re-configuration channel.

• 전기학회논문지P
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• 제63권1호
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• pp.1-6
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• 2014

An electric power system sometimes fails because of disturbances that occur unexpectedly, such as the uncontrolled loss of load that developed from cascading blackout. Which make stability through a little of under voltage load shedding should work. The development of phasor measurement unit(PMU) makes network supervision possible. The information obtained from PMU is synchronized by global positioning system(GPS). There are many real-time algorithms which are monitoring the voltage stability. This paper presents the study on the VILS(Voltage Instability Load Shedding) using PMU data. This algorithm computes Voltage Stability Margin Index(VSMI) continuously to track the voltage stability margin at local bus level. The VSMI is expressed as active and reactive power. The VSMI is used as an criterion for load shedding. In order to examine the algorithm is effective, applied to KEPCO system.