• 제목/요약/키워드: Global position system

검색결과 611건 처리시간 0.025초

위치정보 기반의 경로 학습 및 이탈 판단을 위한 소프트 컴퓨팅 기법 (Soft-computing Method for Path Learning and Path Secession Judgment using Global Positioning System)

  • 라혁주;김성주;최우경;전홍태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 심포지엄 논문집 정보 및 제어부문
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    • pp.144-146
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    • 2004
  • It is known that Global Positioning System(GPS) is the most efficient navigation system because it provides precise position information on the all areas of Earth regardless of metrology. Until now, the size of GPS receivers has become smaller and the performance of receivers has become higher. So receivers provide the position information of not only static system but also dynamic system. Usually, users make similar movement trajectory according to their life pattern and it is possible to build up efficient database by collecting only the repeated users' position. Because position information calculated by the receiver is erroneous about 10-30m within 5% error tolerance, the position information is oscillated even on the same area. In this paper, we propose the system that can estimate whether users are out of trajectory or in dangerous situation by soft-computing method.

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실내에서 Wi-Fi를 이용한 위치 정보 시스템의 설계 및 구현 (The Design and Implementation of Location Information System using Wireless Fidelity in Indoors)

  • 권오병;김경수
    • 디지털융복합연구
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    • 제11권4호
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    • pp.243-249
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    • 2013
  • 본 논문에서는 GPS(Global Positioning System)를 사용할 수 있는 실외와 GPS(Global Positioning System)를 사용할 수 없는 실내에서 Wi-Fi(Wireless Fidelity)를 이용한 안드로이드 기반의 위치 정보 시스템을 설계 및 구현하였다. 보행자의 위치를 실내에서 추정하기 위해서는, 보행자의 위치에 상관없이 절대위치를 구하는 것이 필요하고, 보행자의 움직임에 따라서 상대위치를 연속적으로 추정하는 것이 필요하다. 보행자의 초기위치를 추정하기 위해서 Wi-Fi fingerprinting을 사용하였다. 기존의 Wi-Fi fingerprinting에서 가장 위치 오차가 작은 WKNN(Weighted K Nearest Neighbor) 알고리즘의 단점을 보완한 EWKNN(Enhanced Weighted K Nearest Neighbor) 알고리즘을 사용해 위치의 정확도를 높였다. 그리고 보행자의 상대위치를 추정하기 위해서는, 스마트폰에 탑재되어 있는 IMU(Inertial Measurement Unit)를 사용하였기 때문에 추가적인 장비가 필요하지 않았다.

Position Sensorless Control of BLDC Motors Based on Global Fast Terminal Sliding Mode Observer

  • Wang, Xiaoyuan;Fu, Tao;Wang, Xiaoguang
    • Journal of Power Electronics
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    • 제15권6호
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    • pp.1559-1566
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    • 2015
  • The brushless DC motor (BLDCM) has many advantages. As a result, it is widely used in electric vehicle (EV) drive systems. To improve the reliability of the motor control system, a position sensorless control strategy based on a sliding mode observer (SMO) is proposed. The global fast terminal sliding mode observer (GFTSMO) is proposed to enhance the control performance of the SMO control system. The advantages of the linear sliding mode and the nonsingular terminal sliding mode (NTSM) are combined in the control strategy. The convergence speed of the system state is enhanced. The motor commutation point is obtained with the observation of the back EMF, and the instantaneous torque value of the motor is calculated. Therefore, the position sensorless control of the BLDCM is realized. Experimental results show that the proposed control strategy can improve the convergence speed, dynamic characteristics and robustness of the system.

Visual SLAM을 통해 획득한 공간 지도의 완성도 평가 시스템 (An Evaluation System to Determine the Completeness of a Space Map Obtained by Visual SLAM)

  • 김한솔;감제원;황성수
    • 한국멀티미디어학회논문지
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    • 제22권4호
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    • pp.417-423
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    • 2019
  • This paper presents an evaluation system to determine the completeness of a space map obtained by a visual SLAM(Simultaneous Localization And Mapping) algorithm. The proposed system consists of three parts. First, the proposed system detects the occurrence of loop closing to confirm that users acquired the information from all directions. Thereafter, the acquired map is divided with regular intervals and is verified whether each area has enough map points to successfully estimate users' position. Finally, to check the effectiveness of each map point, the system checks whether the map points are identifiable even at the location where there is a large distance difference from the acquisition position. Experimental results show that space maps whose completeness is proven by the proposed system has higher stability and accuracy in terms of position estimation than other maps that are not proven.

실내에서 스마트폰의 글로벌 좌표 인식 시스템에 관한 연구 (A Study on Global Positioning System of Smart Phone in indoor)

  • 오종택
    • 한국인터넷방송통신학회논문지
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    • 제15권2호
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    • pp.151-156
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    • 2015
  • 스마트폰의 사용이 크게 활성화됨에 따라 거의 모든 사람들이 항상 휴대하고 있으며, 실외에서는 GPS 위성시스템을 이용하여 자신의 위치를 인식하고 관련된 응용 서비스를 제공받을 수 있다. 그러나 실내에서는 스마트폰의 위치를 인식하기도 어렵고 TDOA 방식의 상대 위치를 측정하는 방식에서는 글로벌 좌표를 인식할 수 없다. 본 논문에서는 음향 신호를 이용한 TDOA 방식의 상대 위치 추정 시스템에서, GPS 수신기와 지자기 센서를 이용하여 실내에서 스마트폰의 글로벌 좌표를 인식하는 시스템이 제안되었고, 그 성능과 실험 결과가 기술되었다.

INS/GPS와 간접 되먹임 칼만 필터를 사용하는 이동 로봇의 복합 항법 시스템의 구현 (Implementation of a Hybrid Navigation System for a Mobile Robot by Using INS/GPS and Indirect Feedback Kalman Filter)

  • 김민지;주문갑
    • 대한임베디드공학회논문지
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    • 제10권6호
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    • pp.373-379
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    • 2015
  • A hybrid navigation system is implemented to apply for a mobile robot. The hybrid navigation system consists of an inertial navigation system and a global positioning system. The inertial navigation system quickly calculates the position and the attitude of the robot by integrating directional accelerations, angular speed, and heading angle from a strap-down inertial measurement unit, but the results are available for a short time since it tends to diverge quickly. Global positioning system delivers position, heading angle, and traveling speed stably, but it has large deviation with slow update. Therefore, a hybrid navigation system uses the result from an inertial navigation system and corrects the result with the help of the global positioning system where an indirect feedback Kalman filter is used. We implement and confirm the performance of the hybrid navigation system through driving a car attaching it.

DGPS를 이용한 GIS기반의 차선 이탈 검지 연구 (Detecting Lane Departure Based on GIS Using DGPS)

  • 문상찬;이순걸;김재준;김병수
    • 한국자동차공학회논문집
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    • 제20권4호
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    • pp.16-24
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    • 2012
  • This paper proposes a method utilizing Differential Global Position System (DGPS) with Real-Time Kinematic (RTK) and pre-built Geo-graphic Information System (GIS) to detect lane departure of a vehicle. The position of a vehicle measured by DGPS with RTK has 18 cm-level accuracy. The preconditioned GIS data giving accurate position information of the traffic lanes is used to set up coordinate system and to enable fast calculation of the relative position of the vehicle within the traffic lanes. This relative position can be used for safe driving by preventing the vehicle from departing lane carelessly. The proposed system can be a key component in functions such as vehicle guidance, driver alert and assistance, and the smart highway that eventually enables autonomous driving supporting system. Experimental results show the ability of the system to meet the accuracy and robustness to detect lane departure of a vehicle at high speed.

전역슬라이딩모드 제어를 이용한 전기유압 시스템의 제어 (Control of the Hydraulic System Using the Global Sliding Mode Control)

  • 최형식;김명훈
    • Journal of Advanced Marine Engineering and Technology
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    • 제27권2호
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    • pp.218-228
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    • 2003
  • A hydraulic system is modeled as the second order differential equation with uncertain system parameters and disturbance composed of modeling errors. To Position the load of the hydraulic system to a desired point. the servo valve of the hydraulic system is controlled. As a control scheme. a global sliding mode control(GSMC) is Proposed Since the servo valve has a torque limit. the GSMC is designed to coordinate the position of the load along the minimum time trajectory within the torque limit. The Proposed control scheme can be designed with ranges of parametric uncertainties and specified torque limits. By the proposed control scheme, the closed form solution of the arriving time at the desired position can be estimated.

능동 전방향 거리 측정 시스템을 이용한 이동로봇의 위치 추정 (Localization of Mobile Robot Using Active Omni-directional Ranging System)

  • 류지형;김진원;이수영
    • 제어로봇시스템학회논문지
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    • 제14권5호
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    • pp.483-488
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    • 2008
  • An active omni-directional raging system using an omni-directional vision with structured light has many advantages compared to the conventional ranging systems: robustness against external illumination noise because of the laser structured light and computational efficiency because of one shot image containing $360^{\circ}$ environment information from the omni-directional vision. The omni-directional range data represents a local distance map at a certain position in the workspace. In this paper, we propose a matching algorithm for the local distance map with the given global map database, thereby to localize a mobile robot in the global workspace. Since the global map database consists of line segments representing edges of environment object in general, the matching algorithm is based on relative position and orientation of line segments in the local map and the global map. The effectiveness of the proposed omni-directional ranging system and the matching are verified through experiments.

전역 초음파 시스템의 선택적 활성화 (Selective Activation for Global Ultrasonic System)

  • 김진원;김용태;황병호;이수영
    • 제어로봇시스템학회논문지
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    • 제12권10호
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    • pp.955-961
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    • 2006
  • The global ultrasonic system for the self-localization of a mobile robot consists of several ultrasonic transmitters fixed at some reference positions in the global coordinates of robot environment. By activating the ultrasonic transmitters, the mobile robot is able to get the distance to the ultrasonic transmitters and compute its own position in the global coordinate. Due to the limitation on the ultrasonic signal strength and beam width as well as the environmental obstacles however, the ultrasonic signals from some generator may not be transmitted to the robot. Thus, instead of activating the all ultrasonic transmitters, it is necessary to select some ultrasonic generators to activate based on the current robot position. In this paper, we propose a selective activation algorithm for self-localization with the global ultrasonic system. The selective activation algorithm gets the meaningful ultrasonic data at every sampling instants, which results in the faster and more accurate response of the self-localization than the conventional sequential activation. Through the self-localization and path following control, we verify the effectiveness of the proposed selective activation algorithm.