• 한국항해항만학회지
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• 제43권5호
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• pp.281-288
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• 2019

In this paper, we implemented a mobile application of location-based augmented reality that combines self-sensing technology and various safety information using technological advancements of the smartphone. Vessel navigation is a suitable area for augmented reality because it requires accurate knowledge of the distance and location of destinations, danger zones, AtoN, and adjacent vessels. Current smartphone applications only provide 2D images and location information. Such applications do not include information about the surrounding environment, and as a result, they can only function using their own sensing information and surrounding information into a location-based augmented reality. If you provide a variety of sensor information embedded in the smartphone to 'BadaGO', the implemented application through this study, 'BadaGO' can provide safe navigation information to the user device in real time with a variety of its own formed information. The user has a high practicality and applicability of a small ship that is supplied with safe navigation information in a changing marine environment only by providing information through the application on the smartphone.

• 제어로봇시스템학회논문지
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• 제12권10호
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• pp.982-988
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• 2006

The errors of INS (Inertial Navigation System) are known to grow in time. To compensate the accumulated errors, measurements of external or onboard sensors are extensively utilized to form an integrated navigation system. Recently, INS/GPS integrated navigation systems have become popular since exact position and velocity information can be utilized by low cost GPS receivers. Unfortunately, this configuration cannot be trusted at all times especially when there are intentional or unexpected jammings and interruptions. To aid INS irrespectively of these cases, an INS/Image sensor integrated navigation system configuration is designed only based on the information of image sensor gimble angles. The performance of the INS/Image sensor integrated navigation system is evaluated by Monte Carlo simulation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.157-159
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• 2007

For a vessel to safely navigate on the ocean, it is required to check the vessel position as frequently as possible. When a vessel navigates oil the ocean or entering/leaving a port, the target area such as islands, points and mountain peak, etc. are used. However, when such target are not available or when vessel navigates in night time, installed artificial navigation aid facilities help successful vessel navigation. Light Wave Aid helps to confirm a position to the navigator directly and quickly. So, the synchronous light to display the accurate signal has wide applications. However, lantern domestic industry is small, and most of the products show non-compatibility. Consequently, this paper presents the synchronous lighting using UTC of GPS, which maintains compatibility with different lanterns. Also, by replacing conventional electric bulb with LED lamp, simple and efficient lighting system is obtained.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 춘계학술대회 및 창립 30주년 심포지엄(논문집)
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• pp.215-220
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• 2006

해양오염의 가장 큰 오염원은 선박에 실린 기름들이다. 근래에 들어 HNS(Hazardous and noxious substances)로 명명하는 유해위험물질의 운반이 점차 증가함에 따라 국가적으로 기름만을 해양오염의 방제 대상으로 두지 않고 유해위험물질을 모두 해양오염 및 인명안전에 관계된다는 것에 관심사를 집중시키고 있다. HNS 물질의 해양 사고 발생 시 가장 중요한 것은 얼마나 신속하고 정확하게 반응을 하는가 하는 것이 중요한 관점이다. 이러한 중요한 사항을 위한 결정을 위해 필요한 HNS 방제정보지원시스템의 구축에 대해서 소개하고자 한다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.145-150
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• 2006

The paper deals with integrated navigation and sense & avoid systems for small unmanned aerial vehicles (UAV). First an introduction to the current UAV activities of the institute is given. It is followed by an overview about the integrated navigation system developed for small UAVs. The system is based on a tightly-coupled GPS/INS architecture. But instead of using delta-ranges, time-differenced carrier phases are used to aid the INS. Finally, results from navigation filter validation in flight tests are presented. After that an overview about sense and avoid strategies for application in small unmanned aircraft is given. From this a guideline for developing such a system for the institute's UAVs is presented.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권2호
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• pp.692-712
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• 2022

Buoys used for Aid to Navigation systems are widely used to guide the sea paths and are powered by batteries, requiring continuous battery replacement. However, since human labor is required to replace the batteries, humans can be exposed to dangerous situation, including even collision with shipping vessels. In addition, Maritime sensors are installed on the route signs, so that these are often damaged by collisions with small and medium-sized ships, resulting in significant financial loss. In order to prevent these accidents, maritime object detection technology is essential to alert ships approaching buoys. Existing studies apply a number of filters to eliminate noise and to detect objects within the sea image. For this process, most studies directly access the pixels and process the images. However, this approach typically takes a long time to process because of its complexity and the requirements of significant amounts of computational power. In an emergent situation, it is important to alarm the vessel's rapid approach to buoys in real time to avoid collisions between vessels and route signs, therefore minimizing computation and speeding up processes are critical operations. Therefore, we propose Fast Connected Component Labeling (FCCL) which can reduce computation to minimize the processing time of filter applications, while maintaining the detection performance of existing methods. The results show that the detection performance of the FCCL is close to 30 FPS - approximately 2-5 times faster, when compared to the existing methods - while the average throughput is the same as existing methods.

• Journal of Positioning, Navigation, and Timing
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• 제12권4호
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• pp.379-389
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• 2023

According to the Korea Urban Air Mobility (K-UAM) Concept of Operation (ConOps), the Global Navigation Satellite System (GNSS) is recommended as the primary navigation system and the performance specification will be implemented considering the standard of Performance Based Navigation (PBN). However, by taking into account the characteristics of an urban environment and the concurrent operations of multiple UAM aircraft, the current PBN standards for civil aviation seem difficult to be directly applied to an UAM aircraft. Therefore, by referring to technical documents published in the literature, this paper examines the feasibility of applying the proposed performance requirements to K-UAM, which follows the recommendation of navigation performance requirements for K-UAM. In accordance with the UAM ConOps, the UAM aircraft is anticipated to maintain low altitude during approach and landing phases. Subsequently, the navigation performance degradation could occur in the urban environment, and the primary degradation factor is identified as multipath error. For this reason, to ensure the safety and reliability of the K-UAM aircraft, it is necessary to analyze the degree of performance degradation related to the urban environment and then propose an alternative aid to enhance the navigation performance. To this end, the aim of this paper is to model the multipath effects of the GNSS in an urban environment and to carry out the simulation studies using the real GNSS datasets. Finally, the initial navigation performance requirement is proposed based on the results of the numerical simulation for the K-UAM.

• 대한인간공학회지
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• 제31권2호
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• pp.353-362
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• 2012

Objective: The aim of this study is developing the navigation radar display of navy ship with ecological interface design (EID) framework. Background: Navy ship radar operator must perform navigation support tasks by monitoring the complex and diverse information presented on the radar display. Current radar display is limited in effective navigation aid and response to an unusual state immediately. It is necessary to develop an effective radar display. Method: Ten navy radar operators performed a series of trials in a low-fidelity radar simulation in which they attempted to solve the problems of current navigation situation. Results: The result demonstrated that the ecological interface's performance was better than the existing radar display on performance time and subjective mental workload. Conclusion: This study expand EID study field to navy ship radar display and confirm ecological display is better than existing radar display in performance time, subjective mental work load. Application: The result of this study may help to improve navy ship navigation radar display currently in use.

• 한국정보처리학회논문지
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• 제7권1호
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• pp.126-134
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• 2000

버전관리 시스템은 한 개의 문서에 대한 여러 인스턴스들 사이의 일관성을 유지하기 위하여 버전의 탐색, 충돌 인지, 병합기능 등을 제공하는 어플리케이션이다. 하지만 기존의 버전관리 시스템에서는 협동작업 환경하에서 요구되는 개인별 히스토리 관리 및 저장, 텍스트 객체를 포함한 다양한 문서 제작 행위 객체들 간의 충돌 인지 및 병합, 그레인 크기 및 협동작업자의 역할에 기반한 문서 접근관리 기능 등은 지원하지 못한다. 본 연구에서 제시된 AID 태그 기법은 유일주소 지정기법을 사용하여 협동작업 환경하에서의 다양한 행위 객체들간의 충돌 인지 및 버전 병합을 용이하게 하고, 접근권한 테이블과 역할부여 기능을 AID 태그와 연계함으로써 작업 참여자의 역할 및 그레인 크기에 따른 문서 접근관리가 가능하도록 하였다. 또한 AID 태그 기법은 버전정보의 저장 및 관리를 위해 소요되는 파일의 크기를 줄이는 효과를 가져다 준다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 International Symposium on GPS/GNSS Vol.1
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• pp.491-494
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• 2006

Kalman filtering (KF) is hard to be applied to the SINS (Strap-down Inertial Navigation System)/RDSS (Radio Determination Satellite Service) integrated navigation system directly because the time delay of RDSS positioning in active mode is random. BP (Back-Propagation) Neuron computing as a powerful technology of Artificial Neural Network (ANN), is appropriate to solve nonlinear problems such as the random time delay of RDSS without prior knowledge about the mathematical process involved. The new algorithm betakes a BP neural network (BPNN) and velocity feedback to aid KF in order to overcome the time delay of RDSS positioning. Once the BP neural network was trained and converged, the new approach will work well for SINS/RDSS integrated navigation. Dynamic vehicle experiments were performed to evaluate the performance of the system. The experiment results demonstrate that the horizontal positioning accuracy of the new approach is 40.62 m (1 ${\sigma}$), which is better than velocity-feedback-based KF. The experimental results also show that the horizontal positioning error of the navigation system is almost linear to the positioning interval of RDSS within 5 minutes. The approach and its anti-jamming analysis will be helpful to the applications of SINS/RDSS integrated systems.