• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.39 no.5
• /
• pp.45-55
• /
• 2002

In this paper, we describe an outdoor augmented reality system using GPS tracking for position and attitude information. The system consist of a remote mobile operation unit and a ground operation unit. The remote mobile operation unit includes a real-time image acquiring device, a GPS tracking device, and a wireless data transceiver; the ground operation unit includes a wireless transceiver, a virtual image generating device, and an image superimposing device. The GPS tracking device for measurement of position and attitude of the remote mobile operation unit was designed by TANS Vector and RT-20 for DGPS. The wireless data transceiver was for data transmission between the remote mobile operation unit and the ground operation unit. After the remote mobile operation unit was installed on a vehicle and a helicopter, the system was evaluated to verify its validity in actual applications. It was found that the implemented system could be used for obtaining real-time remote information such as construction simulation, tour guide, broadcasting, disaster observation, or military purpose.

• Journal of KIISE
• /
• v.44 no.1
• /
• pp.71-77
• /
• 2017

There has been a recent spate in the usage of mobile device equipped GPS sensors, such as smart phones. This trend enables the posting of geo-tagged messages (i.e., multimedia messages with GPS locations) on social media such as Twitter and Facebook, and the volume of such spatial data is rapidly growing. However, the relationships between the location and content of messages are not always explicitly shown in such geo-tagged messages. Thus, the need arises to reorganize search results to find the relationship between keywords and the spatial distribution of messages. We find the smallest minimum bounding rectangle (MBR) that embedding k or more points in order to find the most dense rectangle of data, and it can be usefully used in the location search system. In this paper, we suggest efficient algorithms to discover a group of 2-Dimensional spatial data with a close distance, such as MBR. The efficiency of our proposed algorithms with synthetic and real data sets is confirmed experimentally.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.8 no.5
• /
• pp.57-63
• /
• 2008

Recently, OGC(Open Geospatial Consortium) take the lead in SWE(Sensor Web Enablement) research that collection various context information from sensor networks and show it on map by web. OGC SWE WG(Working Group) defines a standard encoding about realtime spatiotemporal appear geographical feature, sensing data and support web services. This paper proposes a visualization scheme of sensing data based location on 2D maps. We show realtime sensing data on moving node that mapping GPS data on map. First, we present an algorithm and procedure that location information change to position of maps for visualization sensing data based on 2D maps. For verifying that algorithm and scheme, we design and implement a program that collecting GPS data and sensing data, and displaying application on 2D maps. Therefore we confirm effective visualization on maps based on web which realtime image and sensing data collected from sensor network.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.11a
• /
• pp.907-908
• /
• 2009

지리정보 시스템에서의 지도 데이터 생성은 많은 양의 실세계의 데이터를 기반으로 하기 때문에 그 생성 및 변경에 있어서 많은 비용과 시간을 필요로 한다. 본 논문에서는 이러한 문제를 극복하기 위하여 경량의 차량 GPS 트레이스 데이터를 이용하여 높은 정확도의 도로 지도를 생성하는 방법을 제안하였다. 제안 방법론은 Intelligent Transportation System(ITS)의 중요 요소인 지리정보 생성에 있어 효율적이고 경제적인 도로 지도 생성을 가능하게 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.33 no.2
• /
• pp.131-142
• /
• 2015

In order to support the development of a cost-effective river bathymetric system, this research has focused on modeling GPS observables, which are obtained by array of five single-frequency receivers (i.e., two references and three rovers) to estimate the high accurate kinematic position, and the surveying vessel altitude. Also, by applying all GPS measurements as multiple-baselines with constraining rover baselines, we derived the socalled ‘kinematic network model.’ From the model, the integer-constrained least-squares (LS) for position estimation and the implicit LS for attitude determination were implemented, while a series of simulation tests with respect to the baseline lengths around 2km performed to demonstrate its accuracy analysis. The on-the-fly (OTF) ambiguity resolution tests revealed that ninety-nine percents of time-to-fix-first ambiguity (TTFF) can be decided in less than two seconds, when the positioning accuracy of ambiguity-fixed solutions was assessed as the greater than or equal to one and two centimeters in horizontal and vertical, respectively. Comparing to the GPS-derived attitudes, the achievable accuracy gradually descended in sequence of yaw, pitch and roll due to the antenna geometric configuration. Furthermore, the RMSE values for the baseline lengths of three to six meters were within ±1′for yaw, and less than ±10′and ±20′for pitch and roll, respectively, but those of between six to fifteen meters were less than ±1′for yaw, ±5′for pitch, and ±10′for roll.

• Information Systems Review
• /
• v.11 no.1
• /
• pp.181-196
• /
• 2009

New domains in the analysis of the behavior of moving objects, particularly within human social settings, are generating research interest due to significant advances in the accuracy and production cost of global positioning system (GPS) devices. However, although potential applications have been described in multiple research areas, practical and viable business implementations of GPS technology remain challenging. This paper combines the potential of GPS capabilities with the analytical power of OLAP and data visualization to examine data on the movements of visitors in a zoological garden. Based on this example, the benefits and limitations of the application of GPS technology to the analysis of human spatial behavior are discussed.

• Journal of Korea Multimedia Society
• /
• v.19 no.8
• /
• pp.1636-1645
• /
• 2016

In navigation systems that use collected trajectory for routing, the number and diversity of trajectory data are crucial despite the infeasible limitation which is that all routes should be collected in person. This paper suggests an algorithm combining trajectories only by collected GPS data and generating new routes for solving this problem. Using distance between two trajectories, the algorithm estimates road intersection, in which it also predicts the correlated direction of them with geographical coordinates and makes a decision to combine them by the correlated direction. With combined and generated trajectory data, this combination way allows trajectory-based navigation to guide more and better routes. In our study, this solution has been introduced. However, the ways in which correlated direction is decided and post-process works have been revised to use the sequential pattern of triangles' area GPS information between two trajectories makes in road intersection and intersection among sets comprised of GPS points. This, as a result, reduces unnecessary combinations resulting redundant outputs and enhances the accuracy of estimating correlated direction than before.

• The Bulletin of The Korean Astronomical Society
• /
• v.25 no.2
• /
• pp.28-28
• /
• 2000

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• v.2
• /
• pp.482-485
• /
• 2006

다채널 시각비교 수신기(R100-40T, Euro-80)를 이용한 GPS C/A 코드 시각비교 데이터와 Ashtech Z12T 수신기를 이용한 P3 코드 시각비교 데이터를 통합 모니터링함으로서, 간편하게 시각비교 결과를 확인 할 수 있게 GUI(Graphic User Interface) 환경으로 구현하였다. 수신기들은 현재 KRISS(Korea Research Institute of Standards and Science)에서 사용 중인 위성이용 시각비교 수신기들이다. 본 시각비교 통합 모니터링 프로세스를 통해서 GPS C/A code 시각비교 데이터와 P3 code 시각비교 데이터 각각을 비교 분석함으로써 시각비교 결과의 신뢰성을 검증하는데 사용한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2017.11a
• /
• pp.97-99
• /
• 2017

본 논문에서는 eLoran 수신기 및 GPS 수신기를 통해 출력되는 NMEA 디지털 데이터를 이용해 GPS 값의 변화를 실시간으로 감시하고, GPS 위치정보의 이상 발생 시 eLoran의 위치정보로 자동 스위칭하여 재밍이나 스푸핑 등의 GPS 전파교란에 대비할 수 있는 장치의 개발에 관하여 연구하였다.