• Title/Summary/Keyword: navigation data

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Software-based Real-time GNSS Signal Generation and Processing Using a Graphic Processing Unit (GPU)

  • Im, Sung-Hyuck;Jee, Gyu-In
    • Journal of Positioning, Navigation, and Timing
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    • v.3 no.3
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    • pp.99-105
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    • 2014
  • A graphic processing unit (GPU) can perform the same calculation on multiple data (SIMD: single instruction multiple data) using hundreds of to thousands of special purpose processors for graphic processing. Thus, high efficiency is expected when GPU is used for the generation and correlation of satellite navigation signals, which perform generation and processing by applying the same calculation procedure to tens of millions of discrete signal samples per second. In this study, the structure of a GPU-based GNSS simulator for the generation and processing of satellite navigation signals was designed, developed, and verified. To verify the developed satellite navigation signal generator, generated signals were applied to the OEM-V3 receiver of Novatel Inc., and the measured values were examined. To verify the satellite navigation signal processor, the performance was examined by collecting and processing actual GNSS intermediate frequency signals. The results of the verification indicated that satellite navigation signals could be generated and processed in real time using two GPUs.

A Study on Development of Integrated System of Ship's Information (선박종합정보시스템의 개발에 관한 연구)

  • Jeong, Tae-Gweon;Park, Soo-Han
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.15-22
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    • 2006
  • As a method to come up with the low competence of responsible officers, an integrated system providing watch officers with information on navigation obtained on board and on land as well is needed to secure the safety of navigation. Therefore as an approach to improve the function for safe navigation, this paper is to develop, efficiently and economically, an integrated system of ship's information.

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Time Delay Error Analysis and Compensation Method of Integrated Navigation System for Aircraft Store (항공장착물의 전달정렬을 위한 통합항법장치 시간 지연 오차 분석 및 보상 기법)

  • Seo, Byung-Il
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.46 no.7
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    • pp.592-601
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    • 2018
  • The GPS/INS integrated navigation system, which is one of the electronic equipments mounted on military aircraft store, can not directly receive GPS signals by the aircraft wing before the drop, so GPS navigation data is received from the aircraft and used for filter integration, afterwards, the integrated navigation is performed using the GPS information directly received through the antenna. In this case, it is possible to operate the mount in old aircraft without any modification of the aircraft when GPS data is transmitted using wireless. However, the delay occurs while the aircraft navigation data is transmitted to the integrated navigation filter of the aircraft store via wireless, which affects the time synchronization of the GPS measurement and the INS information, affecting the integrated navigation performance. In this paper, an algorithm to analyze and compensate the effect of generation and transmission delay that can occur when implementing GPS/INS integrated navigation system of aircraft store that receives GPS data via wireless.

Mobile Robot Navigation using Data Fusion Based on Camera and Ultrasonic Sensors Algorithm (카메라와 초음파센서 융합에 의한이동로봇의 주행 알고리즘)

  • Jang, Gi-Dong;Park, Sang-Keon;Han, Sung-Min;Lee, Kang-Woong
    • Journal of Advanced Navigation Technology
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    • v.15 no.5
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    • pp.696-704
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    • 2011
  • In this paper, we propose a mobile robot navigation algorithm using data fusion of a monocular camera and ultrasonic sensors. Threshold values for binary image processing are generated by a fuzzy inference method using image data and data of ultrasonic sensors. Threshold value variations improve obstacle detection for mobile robot to move to the goal under poor illumination environments. Obstacles detected by data fusion of camera and ultrasonic sensors are expressed on the grid map and avoided using the circular planning algorithm. The performance of the proposed method is evaluated by experiments on the Pioneer 2-DX mobile robot in the indoor room with poor lights and a narrow corridor.

STUDY ON DESIGN AND APPLICATION FOR TRAFFIC THEMATIC MAP LEVEL 1 DATA

  • Kim, Soo-Ho;Ahn, Ki-Seok;Kim, Moon-Gie
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.262-265
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    • 2008
  • We design level 1 traffic thematic map for common data structure. Level 1 means the road that can passing cars. If public office and private company use this form, they can save amount of money from overlapping update. And widely use of traffic analysis, navigation and traffic information system. For design common data structure we compared several data structure(traffic thematic map, ITS standard node/link, Car navigation map), and generalization these characteristic data. After generalization we considered about application parts. It can use of public part(traffic analysis, road management, accident management) and private part(car navigation, map product, marketing by variable analysis) etc.

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TEST AND PERFORMANCE ANALYSIS METHODS OF LOW EARTH ORBIT GPS RECEIVER (지구저궤도 GPS 수신기의 시험 및 성능 분석 방법)

  • Chung Dae-Won;Lee Sang-Jeong
    • Journal of Astronomy and Space Sciences
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    • v.23 no.3
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    • pp.259-268
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    • 2006
  • The use of GPS receiver at outer space becomes common in low earth orbit. Recently most of satellites use GPS receiver as navigation solution for finding satellite position. However, the accuracy of navigation solution acquiring directly from GPS receiver is not enough in satellite application such as map generation. Post-processing concepts such as Precise Orbit Determination (POD) are recently applied to satellite data processing to improve satellite position accuracy. The POD uses raw measurement data instead of navigation solution of GPS receiver. The performance of raw measurement data depends on raw measurement data accuracy and tracking loop algorithm of GPS receiver. In this paper, a method for evaluating performance of raw measurement data is suggested. Test environment and procedure of the low earth orbit satellite acquiring for navigation solution of GPS receiver and navigation solution of POD are described. In addition, accuracy on navigation solution of GPS receiver, raw measurement data, and navigation solution of POD are analyzed. The proposed method can be applicable to general low earth orbit satellite.

The improvement of maritime data communication systems for e-Navigation (e-Navigation 대응 해상 데이터통신 시스템 개선)

  • Jung, Sung-Hun;Yang, Gyu-Sik;Jeong, Gi-Ryong;Park, Dong-Kook;Kim, Jeong-Chang
    • Journal of Advanced Navigation Technology
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    • v.15 no.6
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    • pp.939-945
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    • 2011
  • We show a new scheme and implementation of maritime data communication systems for GMDSS ship which performs e-Navigation and removes the functional limitation of those systems through comparing to service fee, call processing reliability, and bit rates of all of those systems within communication range at sea. We confirmed available each frequency band communication and application services at sea by experimental result with proposed new system, MF/HF band being useful to a short text message service, VHF band to 9600bps email service, Fleet Broadband Maritime Satellite system to one or more Mbps multimedia service each.

Autonomous navigation of a mobile robot (이동로보트의 자율주행)

  • 주영훈;이석주;차상엽;장화선;김성권;김광배;우광방
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.94-99
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    • 1993
  • In this paper, the method for navigation and obstacle avoidance of an autonomous mobile robot is proposed. It is based on the fuzzy inference system which enables to deal with imprecise and uncertain information, and on the neural network which enables to learn input and output pattern data obtained from ultrasonic sensors. For autonomous navigation, the wall-following navigation utilizing input and output data by an expert's control action is constructed. An approach by the neural network is developed for the obstacle avoidance because of the redundant input data. For an autonomous navigation, the fuzzy control and the control of the neural network are integrated and its feasibility is demonstrated by means of experiment.

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Construction and verification of nonparameterized ship motion model based on deep neural network

  • Wang Zongkai;Im Nam-kyun
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.170-171
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    • 2022
  • A ship's maneuvering motion model is important in a computer simulation, especially under the trend of intelligent navigation. This model is usually constructed by the hydrodynamic parameters of the ship which are generated by the principles of hydrodynamics. Ship's motion model is a nonlinear function. By using this function, ships' motion elements can be calculated, then the ship's trajectory can be predicted. Deeping neural networks can construct any linear or non-linear equation theoretically if there have enough and sufficient training data. This study constructs some kinds of deep Networks and trains this network by real ship motion data, and chooses the best one of the networks, uses real data to train it, then uses it to predict the ship's trajectory, getting some conclusions and experiences.

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