• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.38 no.2
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• pp.180-187
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• 2010

In this paper, a GNSS-based AGV system was designed, and steering tested on a golf cart using electric wires in order to confirm the control efficiency of the low speed vehicle which used only position information of GNSS. After analyzed the existing AGVs system, we developed controller and steering algorithm using GNSS based position information. To analyze the performance of the developed controller and steering algorithm, straight-type and circle-type trajectory test are executed. The results show that steering performance of GNSS-based AGV system is ${\pm}\;0.2m$ for a reference trajectory.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.510-518
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• 2023

This paper introduces a MATLAB graphical user interface (GUI) based software for performance analysis of navigation message and wide area differential correction of regional navigation satellite system (RNSS). This software was developed to analyze satellite orbit/clock-related performance of navigation message and wide area differential correction simulating RNSS for regions near Korea based on different distributions of monitor and reference stations. As a result of software operation, navigation message and wide area differential correction are given as output in MATLAB file format. From the analysis of output, it was confirmed that valid navigation message and wide area differential correction could be generated from the results about statistical feature of orbit and clock prediction errors, cm-level fitting errors for navigation message parameters, and 81.9% enhancement in range error for wide area differential correction.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.11a
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• pp.191-192
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• 2011

MEMS 기반 관성 센서를 이용한 항법장치를 개발하는 경우, 칼만 필터(Kalman Filter, KF) 구축 여부에 따라 그 성능이 결정된다. 특히 해상에서 이러한 MEMS 기반 관성항법 장치를 사용하는 경우에는, 육상과 달리 다양한 제약조건이 따르게 된다. KF는 선형과 비선형으로 구분되고, 비선형은 다시 확장 KF와 Unscented KF, Particle KF 등 다양한 것이 연구 개발되어 있는데, 해상에 적용하기 위해서는 이러한 다양한 필터들의 특징과 추가 요청사항 등을 사전 조사할 필요가 있다. 본 연구에서는 기존 개발된 KF를 조사하여 해상용 MEMS 기반 관성 항법장치를 개발하는 경우 필요한 필터 구성 방법을 조사하여 문제점을 살펴보고, 이 문제 해결을 위한 방안을 검토하였다.

• Journal of Advanced Navigation Technology
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• v.22 no.6
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• pp.566-576
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• 2018

The C-ITS requires the lane level positioning of the vehicle in the land transportation environment, and it is most effective to utilize the GNSS. In the precision positioning system based on satellite navigation, the evaluation of dynamic environment of lane level positioning performance should be accompanied and the evaluation system configuration should be preceded. In this paper, we selected performance indicators, assessment equipment, and reliability of reference equipment for evaluation of precision positioning user systems based on the GNSS. The performance evaluation system described above is applied to a real system, and the performance evaluation tool developed for the evaluation system is described. The numerical performance evaluation was carried out based on the data collected by carrying out the actual testbed driving. The performance evaluation by the actual driving trajectory and driving image comparison was performed to derive and analyse the evaluation results of the vehicle lane level positioning user system.

• Electronics and Telecommunications Trends
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• v.31 no.3
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• pp.20-31
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• 2016

위성항법 보강시스템은 항법위성인 GPS 제공 항법신호를 수신 처리하여 각종 오차 성분을 제거시킴으로써 산출된 위치정확도, 시스템 가용도 및 제공신호에 대한 무결성 등이 향상됨에 따라 항공분야, 해양분야 및 차량내비 등 육상분야에서 요구하는 위치정확도뿐만 아니라 보강 및 무결정정보 등을 특정 성능 요구를 만족시킬 수 있도록 제공하는 시스템이다. GPS 신호에 대한 오차를 보강한 메시지를 활용하는 매체를 무엇을 활용하는지에 따라 구분할 수 있는데 위성을 이용하면 위성기반 보강시스템(Satellite Based Augmentation System: SBAS), 지상망을 이용하면 지상기반 보강시스템(Ground Based Augmentation System: GBAS), 비행기를 이용하면 항공기반보강시스템(Aircraft-Based Augmentation System: ABAS)으로 일컫는다. 본고에서는 위성항법 보강시스템의 현황과 그 관련 기술에 대하여 기술하고 한다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.40 no.1
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• pp.35-42
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• 2012

In this study, a feature-points-tracking algorithm is suggested using a particle filter for vision based navigation system. By applying a dynamic model of the feature point, the tracking performance is increased in high dynamic condition, whereas a conventional KLT (Kanade-Lucas-Tomasi) cannot give a solution. Futhermore, the particle filter is introduced to cope with irregular characteristics of vision data. Post-processing of recorded vision data shows that the tracking performance of suggested algorithm is more robust than that of KLT in high dynamic condition.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.135-144
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• 2021

In railway systems, it is common to obtain train location information through an infrastructure-based train detection system. However, this system has a problem that may provide incorrect location information due to non-detection and erroneous detection, which may cause an accident. Therefore, in this study, we propose a method of providing train location information using a sensor-based integrated navigation system. In order to provide accurate information; however, the reliability of the integrated navigation system must be verified. Therefore, in this paper, we develop a simulator that can generate a reference trajectory and sensor data based on the real trajectory and analyze the performance of the integrated navigation system according to various scenarios on the real trajectory.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.4
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• pp.274-282
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• 2019

Vision-based navigation of unmaned aerial vehicle is a significant technology that can reinforce the vulnerability of the widely used GPS/INS integrated navigation system. However, the existing image matching algorithms are not suitable for matching the aerial image with the database. For the reason, this paper proposes particle filters using Gaussian mixture models to deal with matching between aerial image and database for vision-based navigation. The particle filters estimate the position of the aircraft by comparing the correspondences of aerial image and database under the assumption of Gaussian mixture model. Finally, Monte Carlo simulation is presented to demonstrate performance of the proposed method.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.2
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• pp.537-540
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• 2006

항법 장치의 특성을 이해하고 통합 필터를 설계하기 위한 기본 도구로 많이 활용되는 것이 시뮬레이션 도구이다. 이것은 실재 시스템을 구현할 때 부딪히는 각종 어려움으로부터 벗어나, 비교적 쉽게 성능분석을 할 수 있다는 장점 때문이다. 본 논문에서는 윈도우 기반의 전산 모의 소프트웨어를 개발하고, 이 프로그램을 이용하여 GPS와 INS 등의 센서를 이용한 복합 지상항법 시스템의 성능을 분석하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.2
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• pp.475-478
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• 2006

본 논문에서는 소형 무인항공기의 정확한 위치, 속도, 자세 정보를 제공하기 위해 저급의 MEMS IMU를 이용한 항법 시스템을 제안한다. 제안하는 시스템은 비행체의 직선운동과 회전운동을 측정할 수 있는 관성측정기와 위성신호를 수신하여 항체의 위치, 속도 정보를 제공하는 GPS 수신기, 지구 자기장 정보를 이용하여 방향각 정보를 제공하는 지자기 센서들로 구성되었다. SDINS와 약결합 방식의 칼만필터를 이용한 항법 시스템은 초기정렬 알고리즘과 센서 오차 보상 알고리즘, 자력계 보상 알고리즘 및 복합항법 알고리즘으로 나뉘며, 설계된 항법 알고리즘들은 시뮬레이션과 차량 실험을 통해서 성능을 분석하였다.