• Journal of Positioning, Navigation, and Timing
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• 제13권2호
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• pp.137-147
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• 2024

This paper presents a novel Long Short-Term Memory (LSTM) network architecture for the integration of an Inertial Measurement Unit (IMU) and Global Navigation Satellite Systems (GNSS). The proposed algorithm consists of two independent LSTM networks and the LSTM networks are trained to predict attitudes and velocities from the sequence of IMU measurements and mechanization solutions. In this paper, three GNSS receivers are used to provide Real Time Kinematic (RTK) GNSS attitude and position information of a vehicle, and the information is used as a target output while training the network. The performance of the proposed method was evaluated with both experimental and simulation data using a lowcost IMU and three RTK-GNSS receivers. The test results showed that the proposed LSTM network could improve positioning accuracy by more than 90% compared to the position solutions obtained using a conventional Kalman filter based IMU/GNSS integration for more than 30 seconds of GNSS outages.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제14권2호
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• pp.105-112
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• 2014

The International Maritime Organization has determined that more than 80% of maritime accidents are caused by human error. A variety of methods have been considered to reduce maritime accidents caused by such human error. Navigators operate by observing surrounding maritime situations and analyzing information using various navigational devices. This study proposes a system to ensure safe navigation by assisting navigators through the delivery of maritime safety information (MSI) between land and sea. In the future, supplementing the system through long-term on-the-ship tests is necessary by defining MSI in relation to maritime service portfolio regions.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.240-243
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• 2003

In this study, as the preliminary step far developing a multi-purpose Autonomous robust carrier mobile robot to transport trolleys or heavy goods and serve as robotic nursing assistant in hospital wards. The aim of this paper is to present the use of multi-sensor data fusion such as sonar, IR sensor for map-building mobile robot to navigate, and presents an experimental mobile robot designed to operate autonomously within both indoor and outdoor environments. Smart sensory systems are crucial for successful autonomous systems. We will give an explanation for the robot system architecture designed and implemented in this study and a short review of existing techniques, since there exist several recent thorough books and review paper on this paper. It is first dealt with the general principle of the navigation and guidance architecture, then the detailed functions recognizing environments updated, obstacle detection and motion assessment, with the first results from the simulations run.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.346-349
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• 2003

For a traveling crane, various control methods such as neural network predictive control and TDOFPID(Two Degree of Freedom Proportional Integral Derivative) are studied. So in this paper, we proposed improved navigation method to reduce transfer time and sway with anti-collision path for avoiding collision in its movement to the finial coordinate. And we constructed the NNPPID(Neural Network Predictive PID) controller to control the precise move and speedy navigation. The proposed predictive control system is composed of the neural network predictor, TDOFPID controller, and neural network self-tuner. We analyzed ASC(Automated Stacking Crane) system and showed some computer simulations to prove excellence of the proposed controller than other conventional controllers.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.500-503
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• 2003

The navigation problem of robot is one of the main themes to deal with conficts or interferences between obstacles and the robot itself In this case, while the robot avoids obstacles on the space, the passage route should be determined efficiently. In order to solve problems above, we have come up with the distance field space medel (DFM) and then, under known environment, we have presented the distance field A algorithm for passage route path search. In this research, the method of performing the 3-dimensional passage route path search of robot under unknown environment is proposed. It is shown that the authors can build the distance search model the does not need space division by taking into account of sensor information to a distance field space model, and constructing this information as virtual obstacle information.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권2호
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• pp.100-108
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• 2002

A fuzzy logic for collision avoiding navigation of marine vehicles is proposed in this paper. VFF(Virtual Force Field) method, which is used widely in the field of mobile robots, is modifiel to apply to marine vehicles. The method is named MVFF (Modified Virtual Force Field) mothod. The MVFF consists of the determination of the heading angles far track-keeping mode ($\psi_{ca}$)and collision avoidance mode ($\psi_{ca}$). The operator can choose the pattern of the track-keeping mode in the proposed algorithm. The collision avoidance algorithm can handle static and/or moving obstacles. These functons are implemented using fuzzy logic. Various simulation results verify the proposed alogorithm.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2000년도 춘계학술대회논문집
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• pp.47-56
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• 2000

In this study, as the preliminary step for developing an unmanned vehicle to deliver a container-box, we designed and implemented Automatic Guided Vehicle(AGV) Simulator for the purpose of Port Facilities Automation. It is preferable to research the intelligent AGV for delivery all day long. For complementing AGV simulator driving, we used multiple-sensor systems with vision, ultrasonic, IR and adapted the high-speed wireless LAN that satisfies the IEEE 802.11 Standard for bi-directional communication between main processor in AGV and Host computer. Here, we mounted on bottom frame in AGV Pentium-III processor, which combine and compute the information from each sensor system and control the AGV driving, and used the 80C196KC micro-controller to control the actuating and steering motors.

• 한국지능시스템학회논문지
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• 제16권1호
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• pp.55-60
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• 2006

지능형 로봇이 성장 동력 산업으로 선정되면서 국가적인 관심이 지능형 로봇산업에 모이고 있다. 지능형 로봇의 분야에서 있어 자율 이동 로봇에 관한 연구는 중요한 이슈가 되고 있다. 주어진 환경에서 환경을 인식하고, 얻어진 정보에 따라 효율적인 주행을 하기 위해 환경지도를 구성한다. 구성된 환경지도를 기반으로 목표지점을 향한 광역경로 계산을 수행하고, 얻어진 경로를 따라 이동함으로써 목표점에 이르게 된다. 본 논문에서는 퍼지 환경 지도를 제안하고, 퍼지 환경지도로부터 최단시간 광역 경로를 계산하는 알고리즘을 소개하며, 주행 제어를 위한 퍼지 제어기를 제안한다.

• 한국가시화정보학회지
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• 제17권3호
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• pp.66-69
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• 2019

An image compensating algorithm with high-vibration movement is proposed, using optical flow and the Kalman Filter. The temporal motion vector field is calculated by Optical flow and suspicious vectors are removed or adjusted by the Gaussian interpolation method. The high-vibrated vector filled is stabilized by the Kalman filter. Lastly, compensated images are obtained by affine transformation. This proposed algorithm gives good compensated video images on high-vibration situations.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2002년도 추계학술대회 및 정기총회
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• pp.89-92
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• 2002

최근 들어 급증하고 있는 해양 충돌 사고 증가의 원인은 선박을 조종하는 항해사의 잘못된 판단 에 의한 부주의가 대부분이다. 이러한 문제를 해결하기 위한 가장 적극적인 방법은 선박에 자동화 및 지능화를 부여하여 항해사의 실수를 최소화하는 것이다. 대표적인 연구는 선박의 자율운항시스템(autonomous navigation system)이 있는데, 이는 선박운항에 있어 항해계획을 수립하고 현재의 선박의 상태를 파악하여 선박을 적절히 제어하는 항해 전문가시스템이다. 선박 자율운항시스템은 실세계의 선박에 장착되어 실험하여야하나, 선박은 고가의 운송수단이고, 자율운항시스템을 장착하기 위한 하부장치 인터페이스를 설계 및 구현에 많은 시간이 소요되므로 실제 선박을 모방하는 선박시뮬레이터를 이용하는 방법이 타당하다. 선박시뮬레이터는 선박의 물리적 운항특성을 모방하는 선박운동시뮬레이터와 선박 운항 주변에 변화하는 장애물을 시뮬레이터 하는 주변 객체시뮬레이터로 구성된다. 본 연구에서는 선박 운항 주변에 등장하는 장애물 변화를 시뮬레이션하고, 이에 기반한 ARPA RADAR를 모의 가동하는 주변객체시뮬레이터를 개발한다.