• Title/Summary/Keyword: GPS trajectory

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SAR Motion Compensation Using GPS/IMU (GPS/IMU를 이용한 SAR 영상의 요동 보상 기법에 대한 연구)

  • Kim, Dong-Hyun;Park, Sang-Hong;Kim, Kyung-Tae
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.22 no.1
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    • pp.16-23
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    • 2011
  • This paper suggests a motion compensation technique using GPS/IMU data in order to compensate for phase error caused by undesired motion of radar platform. An actual flight trajectory would be deviate from an ideal straight-constant trajectory with a constant velocity for SAR imaging, due to pitch, roll and yaw motion of aircraft caused by turbulence. This leads to blurred SAR images due to inter-pulse phase errors as well as along-track velocity errors. If the motion compensation is carried out to reduce those errors, SAR image quality can be significantly improved. Simulation results show that the motion compensation technique introduced in this paper is an effective tool to improve SAR image quality against severe motion of radar platform.

Geovisualization Environment for Spatio-temporal Trajectory of Personal Activity (시공간 개인통행자료의 지리적 시각화)

  • Ahn Jae-Seong;Lee Yang-Won;Park Key-Ho
    • Journal of the Korean Geographical Society
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    • v.40 no.3 s.108
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    • pp.310-320
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    • 2005
  • This study attempts at prototyping and evaluating a geovisualization tool that summarizes and explores human activity patterns using spatio-temporal trajectory data collected from GPS receiver. A set of core conceptualization developed in 'time geography' is successfully represented by our prototype based on the notion of 'space-time cube.' The notions of 'temporal dispersion cylinder' and 'parallel plane plot' are also implemented to allow funker analyses of human activity pattern on the space-time trajectory. The capabilities of the geovisualization environment we proposed include the interactive and dynamic functions that support a variety of explorations on the three components of spatio-temporal data : space(where), time(when), and object(what).

Vehicle Trajectory-Based Data Forwarding Schemes for Vehicular Ad Hoc Networks

  • Jeong, Jae-Hoon Paul
    • Information and Communications Magazine
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    • v.29 no.8
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    • pp.72-84
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    • 2012
  • This paper introduces three vehicle trajectory-based data forwarding schemes, tailored for vehicular ad hoc networks. Nowadays GPS-based navigation systems are popularly used for providing efficient driving paths for drivers. With the driving paths called vehicle trajectories, we can make data forwarding schemes more efficient, considering the micro-scoped mobility of individual vehicles in road networks as well as the macro-scoped mobility of vehicular traffic statistics. This paper shows why the vehicle trajectory is a key ingredient in the design of the vehicle-to-infrastructure, infrastructure-to-vehicle, and vehicle-to-vehicle data forwarding schemes over multihop. Through the mathematical formulation, the key design techniques are shown for three forwarding schemes based on vehicle trajectory, compared with a state-of- the- art data forwarding scheme based on only vehicular traffic statistics.

GPS Error Filtering using Continuity of Path for Autonomous Mobile Robot in Orchard Environment (과수원 환경에서 자율주행로봇을 위한 경로 연속성 기반 GPS오정보 필터링 연구)

  • Hyewon Yoon;Jeonghoon Kwak;Kyon-Mo Yang;Byong-Woo Gam;Tae-Gyu Yeo;Jongyoul Park;Kap-Ho Seo
    • The Journal of Korea Robotics Society
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    • v.19 no.1
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    • pp.23-30
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    • 2024
  • This paper studies a GPS error filtering method that takes into account the continuity of the ongoing path to enhance the safety of autonomous agricultural mobile robots. Real-Time Kinematic Global Positioning System (RTK-GPS) is increasingly utilized for robot position evaluation in outdoor environments due to its significantly higher reliability compared to conventional GPS systems. However, in orchard environments, the robot's current position obtained from RTK-GPS information can become unstable due to unknown disturbances like orchard canopies. This problem can potentially lead to navigation errors and path deviations during the robot's movement. These issues can be resolved by filtering out GPS information that deviates from the continuity of the waypoints traversed, based on the robot's assessment of its current path. The contributions of this paper is as follows. 1) The method based on the previous waypoints of the traveled path to determine the current position and trajectory. 2) GPS filtering method based on deviations from the determined path. 3) Finally, verification of the navigation errors between the method applying the error filter and the method not applying the error filter.

Enhanced Grid-Based Trajectory Cloaking Method for Efficiency Search and User Information Protection in Location-Based Services (위치기반 서비스에서 효율적 검색과 사용자 정보보호를 위한 향상된 그리드 기반 궤적 클로킹 기법)

  • Youn, Ji-Hye;Song, Doo-Hee;Cai, Tian-Yuan;Park, Kwang-Jin
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.8
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    • pp.195-202
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    • 2018
  • With the development of location-based applications such as smart phones and GPS navigation, active research is being conducted to protect location and trajectory privacy. To receive location-related services, users must disclose their exact location to the server. However, disclosure of users' location exposes not only their locations but also their trajectory to the server, which can lead to concerns of privacy violation. Furthermore, users request from the server not only location information but also multimedia information (photographs, reviews, etc. of the location), and this increases the processing cost of the server and the information to be received by the user. To solve these problems, this study proposes the EGTC (Enhanced Grid-based Trajectory Cloaking) technique. As with the existing GTC (Grid-based Trajectory Cloaking) technique, EGTC method divides the user trajectory into grids at the user privacy level (UPL) and creates a cloaking region in which a random query sequence is determined. In the next step, the necessary information is received as index by considering the sub-grid cell corresponding to the path through which the user wishes to move as c(x,y). The proposed method ensures the trajectory privacy as with the existing GTC method while reducing the amount of information the user must listen to. The excellence of the proposed method has been proven through experimental results.

The Study of the Position Estimation for an Autonomous Land Vehicle

  • Lim, Ho;Park, Chong-Kug
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.2
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    • pp.239-246
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    • 2004
  • In this paper, we develop and implement a high integrity GNC(Guidance, Navigation, and Control) system, based on the combined use of the Global Positioning System (GPS) and an Inertial Measurement Unit (IMU), for autonomous land vehicle applications. This paper highlights guidance for the predetermined trajectory and navigation with detection of possible faults during the fusion process in order to enhance the integrity of the navigation loop. The implementation of the GNC system to the autonomous land vehicle presented with fault detection methodology considers high frequency faults from the GPS receiver caused by shadowing and multipath error The implementation, based on a low-cost, strapdown INS aided by standard GPS technology, is described. The results of the field test in the urban environment are presented and showed effectiveness of the GNC system.

An oil spill tracking buoy using GPS (GPS를 활용한 누유 추적부이 시스템)

  • 이종무;홍기용;김선경
    • Journal of Ocean Engineering and Technology
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    • v.11 no.4
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    • pp.189-196
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    • 1997
  • An oil tracking system that monitors the spilt oil trajectory by using GPS was developed. The system consists of a tracking buoy deployed on the oil spilt area and an onshore(or onboard) monitoring station. The tracking buoy is equipped with GPS, signal converter, handy radio and battery while the monitoring station includes a station radio, signal converter, antennas and PC. The hull shape of buoy is designed to effectively simulate the spilt oil movement at sea surface. Radio sets for HAM are used as a data transmitter and a data receiving station, and signal converter is also for amateur use. A field experiment was conducted and it was shown that the integrated system is relable and robust. The developed oil tracking system reveals reatively good performance at reasonable cost. In favorable environment the system may communicate in the distance more than 50km.

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A Technique for Generating Semantic Trajectories by Using GPS Moving Trajectories and POI information (GPS 이동 궤적과 관심지점 정보를 이용한 시맨틱 궤적 쟁성 기법)

  • Jang, Yuhee;Lee, Juwon;Lim, Hyo-Sang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.722-725
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    • 2015
  • 모바일 환경에서 사용자의 GPS 궤적은 위치기반서비스(Location Based Service)에서 새로운 자원으로써 활용되고 있다. 위치기반서비스의 확장을 위해 단순히 사용자의 위치를 지도에 표시하는 것뿐만 아니라 사용자들이 위치했던 장소들이 내포하고 있는 의미를 발견해 내는 것이 필요하다. 이를 위해 최근 사용자의 위치정보에 관심지점(POI: Point of Interest)의 정보를 결합하여 시맨틱 궤적(Semantic Trajectory)을 생성하고 분석하는 연구들이 진행되고 있다. 이러한 기존연구의 경우 시맨틱 궤적을 생성하기 위해, 사용자의 GPS 궤적과 POI의 면적 정보(polygon)가 겹칠 경우를 찾아내서 이를 시맨틱 궤적으로 생성하였다. 하지만 대부분 공개된 POI 정보는 실제 장소들의 면적 정보를 제공하지 않고 좌표(point) 값 만을 제공하기 때문에 기존의 방법으로는 시맨틱 궤적을 생성하지 못하는 문제가 있다. 본 논문에서는 사용자의 GPS 궤적과 POI의 좌표 값을 이용하여 사용자가 실제 방문했을 것으로 예상되는 POI 를 추정하고 이를 시맨틱 궤적으로 생성해 내는 방법을 제안한다. 제안하는 기법은 GPS 궤적의 속력 정보를 사용하여 사용자가 정지했었던 구간을 판별하고, 정지 구간 주변의 POI 밀도에 따라 정지 구간을 영역으로 확장한다. 그리고 영역에 포함된 POI 중 정지 구간과의 거리가 가장 가깝고, 가장 오랜 시간 포함되었던 POI를 사용자가 방문했던 POI로 판단한다. 이 방법은 POI의 면적정보가 없는 제한적인 상황에서도 시맨틱 궤적을 생성할 수 있다는 장점을 가진다.

Trajectory Distance Algorithm Based on Segment Transformation Distance

  • Wang, Longbao;Lv, Xin;An, Jicun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1095-1109
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    • 2022
  • Along with the popularity of GPS system and smart cell phone, trajectories of pedestrians or vehicles are recorded at any time. The great amount of works had been carried out in order to discover traffic paradigms or other regular patterns buried in the huge trajectory dataset. The core of the mining algorithm is how to evaluate the similarity, that is, the "distance", between trajectories appropriately, then the mining results will be accordance to the reality. Euclidean distance is commonly used in the lots of existed algorithms to measure the similarity, however, the trend of trajectories is usually ignored during the measurement. In this paper, a novel segment transform distance (STD) algorithm is proposed, in which a rule system of line segment transformation is established. The similarity of two-line segments is quantified by the cost of line segment transformation. Further, an improvement of STD, named ST-DTW, is advanced with the use of the traditional method dynamic time warping algorithm (DTW), accelerating the speed of calculating STD. The experimental results show that the error rate of ST-DTW algorithm is 53.97%, which is lower than that of the LCSS algorithm. Besides, all the weights of factors could be adjusted dynamically, making the algorithm suitable for various kinds of applications.

6 - DOF Trajectory M&S of Spin - stabilized Munitions using Matlab Simulink (Matlab Simulink를 이용한 회전안정탄의 6 자유도 탄도 모델링)

  • Kim, Ki Pyo;Yun, Sang Yong;Kim, Jin Seuk;Hong, Jong Tai
    • Journal of the Korean Society of Systems Engineering
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    • v.2 no.2
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    • pp.39-44
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    • 2006
  • With the advent of low cost, miniature and high-g hardened inertial sensors and actuators, many kind of smart munitions are becoming practical such as 1D or 2D TCM, SFM, Range Extended GPS guided munitions and so on. They have more complicated trajectory control algorithm than conventional munitions'. Therefore it is necessary to study the complicated operation algorithm of smart munitions with M&S in advance of developing them. The purpose of this paper is to introduce a practical M&S method to study an operation concept of smart munitions using PRODAS and Matlab.

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