• Title/Summary/Keyword: Sensor positioning

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Position Calibration System of Automatic Transfer Crane (자동 트랜스퍼 크레인의 위치보정 시스템)

  • 박경택;박찬훈;신영재;강병수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.10a
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    • pp.515-520
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    • 2002
  • Automatic Transfer Crane is needed for automation of container terminal. It requires the control capability of exact position for loading/unloading job in yard. But it has the limitation of improvement because it has the operational environmental and its structural problems. It has the positioning errors caused by the deformation of rail, yawing motion of crane, wear of wheel, sliding motion between wheel and rail and so on. This study shows the calibration method of crane position by using the primitivity sensor and calibrating plate fixed on the ground.

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A Study on the Cycle-slip Detection for GPS Carrier-phase based Positioning of Land Vehicle (차량 환경에서 GPS 반송파 기반 위치 결정을 위한 반송파 불연속 측정치 검출에 대한 연구)

  • Kim, Youn-Sil;Song, Jun-Ssol;Yun, Ho;Kee, Chang-Don
    • Journal of Advanced Navigation Technology
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    • v.17 no.6
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    • pp.593-599
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    • 2013
  • In this paper, the GPS cycle-slip detection for carrier-phase based positioning of land vehicle is presented. For the carrier phase based positioning, cycle-slip detection is necessary to get the reliability of positioning result. There exists many cycle-slip detection algorithms, but we detect the cycle-slip by using the monitoring value which is defined as residual between the carrier phase measurement and estimated value from low-cost inertial sensor. To achieve goal of paper, low-cost cycle-slip detection system, permissible specification region of inertial sensor is derived. By using the result of permissible region, appropriate inertial sensor of cycle-slip detection can be decided, proper cost and proper specification. To verify the result of this paper, we conduct the rate table test. As a result, required cycle-slip detection performance is satisfied conservatively.

Development of Underwater Positioning System using Asynchronous Sensors Fusion for Underwater Construction Structures (비동기식 센서 융합을 이용한 수중 구조물 부착형 수중 위치 인식 시스템 개발)

  • Oh, Ji-Youn;Shin, Changjoo;Baek, Seungjae;Jang, In Sung;Jeong, Sang Ki;Seo, Jungmin;Lee, Hwajun;Choi, Jae Ho;Won, Sung Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.352-361
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    • 2021
  • An underwater positioning method that can be applied to structures for underwater construction is being developed at the Korea Institute of Ocean Science and Technology. The method uses an extended Kalman filter (EKF) based on an inertial navigation system for precise and continuous position estimation. The observation matrix was configured to be variable in order to apply asynchronous measured sensor data in the correction step of the EKF. A Doppler velocity logger (DVL) can acquire signals only when attached to the bottom of an underwater structure, and it is difficult to install and recover. Therefore, a complex sensor device for underwater structure attachment was developed without a DVL in consideration of an underwater construction environment, installation location, system operation convenience, etc.. Its performance was verified through a water tank test. The results are the measured underwater position using an ultra-short baseline, the estimated position using only a position vector, and the estimated position using position/velocity vectors. The results were compared and evaluated using the circular error probability (CEP). As a result, the CEP of the USBL alone was 0.02 m, the CEP of the position estimation with only the position vector corrected was 3.76 m, and the CEP of the position estimation with the position and velocity vectors corrected was 0.06 m. Through this research, it was confirmed that stable underwater positioning can be carried out using asynchronous sensors without a DVL.

Precise Positioning Algorithm Development for Quadrotor Flying Robots Using Dual Extended Kalman Filter (듀얼 확장 칼만 필터를 이용한 쿼드로터 비행로봇 위치 정밀도 향상 알고리즘 개발)

  • Seung, Ji-Hoon;Lee, Deok-Jin;Ryu, Ji-Hyoung;Chong, Kil To
    • Journal of Institute of Control, Robotics and Systems
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    • v.19 no.2
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    • pp.158-163
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    • 2013
  • The fusion of the GPS (Global Positioning System) and DR (Dead Reckoning) is widely used for position and latitude estimation of vehicles such as a mobile robot, aerial vehicle and marine vehicle. Among the many types of aerial vehicles, grater focus is given on the quad-rotor and accuracy of the position information is becoming more important. In order to exactly estimate the position information, we propose the fusion method of GPS and Gyroscope sensor using the DEKF (Dual Extended Kalman Filter). The DEKF has an advantage of simultaneously estimating state value and a parameter of dynamical system. It can also be used even if state value is not available. In order to analyze the performance of DEKF, the computer simulation for estimating the position, the velocity and the angle in a circle trajectory of quad-rotor was done. As it can be seen from the simulation results using own proposed DEKF instead of EKF on own fusion method in the navigation of a quad-rotor gave better performance values.

Implementation of Vehicle Navigation System using GNSS, INS, Odometer and Barometer

  • Park, Jungi;Lee, DongSun;Park, Chansik
    • Journal of Positioning, Navigation, and Timing
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    • v.4 no.3
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    • pp.141-150
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    • 2015
  • In this study, a Global Navigation Satellite System (GNSS) / Inertial Navigation System (INS) / odometer / barometer integrated navigation system that uses a commercial navigation device including Micro Electro Mechanical Systems (MEMS) accelerometer and gyroscope in addition to GNSS, odometer information obtained from a vehicle, and a separate MEMS barometer sensor was implemented, and the performance was verified. In the case of GNSS and GNSS/INS integrated navigation system that are generally used in a navigation device, the performance would deteriorate in areas where GNSS signals are not available. Therefore, an integrated navigation system that calculates a better navigation solution in areas where GNSS signals are not available compared to general GNSS/INS by correcting the velocity error of GNSS/INS using an odometer and by correcting the cumulative altitude error of GNSS/INS using a barometer was suggested. To verify the performance of the navigation system, a commercial navigation device (Softman, Hyundai Mnsoft, http://www.hyundai-mnsoft.com) and a barometer sensor (ST Company) were installed at a vehicle, and an actual driving test was performed. To examine the performance of the algorithm, the navigation solutions of general GNSS/INS and the GNSS/INS/odometer/barometer integrated navigation system were compared in an area where GNSS signals are not available. As a result, a navigation solution that has a smaller position error than that of GNSS/INS could be obtained in the area where GNSS signals are not available.

Performance Estimation of Feeding System for developing coaxial grinding system of light communicative ferrule (광통신용 페룰 가공을 위한 초미세 고기능 동축가공 연삭시스템용 이송계의 특성 평가)

  • Ahn K.J.;Choe B.O.;Lee H.J.;Hwang C.K.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.10-14
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    • 2005
  • This report deals with a feeding system of the Coaxal grinding machine, processing optical ferrule. This report also examines the applicability of using the feeding system for the Coaxial grinding machine, by mean of conducting performance estimation. The results are as follow; Repeatability of regulating wheel is $17{\mu}m$, R/W rotation accuracy is between $30\;\~\;40{\mu}m$. This means 'Rotation accuracy' is lower than the concentricity level. Backlash generation level at the feeding system of the grinding wheel is under $1{\mu}m$, thereby positioning accuracy is controlled within $2{\mu}m$ In terms of repeatability, you can find occasional error at the returning process from the starting point. This error is resulted from the measurement tolerance of the starting point sensor. We will get the repeatability level under control by $1{\mu}m$, through improving the soft-ware used and up-grading the sensor at the starting point.

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Robust Relative Localization Using a Novel Modified Rounding Estimation Technique

  • Cho, Hyun-Jong;Kim, Won-Yeol;Joo, Yang-Ick;Seo, Dong-Hoan
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.2
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    • pp.187-194
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    • 2015
  • Accurate relative location estimation is a key requirement in indoor localization systems based on wireless sensor networks (WSNs). However, although these systems have applied not only various optimization algorithms but also fusion with sensors to achieve high accuracy in position determination, they are difficult to provide accurate relative azimuth and locations to users because of cumulative errors in inertial sensors with time and the influence of external magnetic fields. This paper based on ultra-wideband positioning system, which is relatively suitable for indoor localization compared to other wireless communications, presents an indoor localization system for estimating relative azimuth and location of location-unaware nodes, referred to as target nodes without applying any algorithms with complex variable and constraints to achieve high accuracy. In the proposed method, the target nodes comprising three mobile nodes estimate the relative distance and azimuth from two reference nodes that can be installed by users. In addition, in the process of estimating the relative localization information acquired from the reference nodes, positioning errors are minimized through a novel modified rounding estimation technique in which Kalman filter is applied without any time consumption algorithms. Experimental results show the feasibility and validity of the proposed system.

Design of Real-Time Monitoring System for Recycling Agricultural Resourcing Based on USN

  • Ji, Geun-Seok;Min, Byoung-Won;Oh, Yong-Sun;Mishima, Nobuo
    • International Journal of Contents
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    • v.9 no.4
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    • pp.22-29
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    • 2013
  • In this paper, we propose a integrated real-time monitoring system for recycling agriculture resourcing based on USN. We design and implement the monitoring system so that we can integrate the quality control of farmyard and liquid manures, barn environment monitoring, and positioning information control into a total management system performing recycling of excrement and manure. Selection of sensors and sensor-node construction and requirements, structure of wire/wireless communication networks, and design of monitoring program are also presented. As a result of operating our system, we can get over various drawbacks of conventional separated system and promote the proper circulation of excrement up to the farmyard. We confirm that these advanced effects arise from the effective management of the total system integrating quality control of farmyard/liquid manure, barn/farmhouse information, and vehicle moving monitoring information etc. Moreover, this monitoring system is able to exchange real-time information throughout communication networks so that we can construct a convenient information environment for agricultural community by converging IT technology with farm and stockbreeding industries. Finally we present some results of processing using our monitoring system. Sensing data and their graphs are processed in real-time, positioning information on the v-world map offers various moving paths of vehicles, and statistical analysis shows all the procedure from excrement occurrence to recycling and resourcing.

Positioning of a Leader Robot in a Leader-Follower Robot Using Low-Cost Infrared(IR) Distance Sensors (저가형 적외선 거리 센서를 이용한 선도-추종 로봇시스템에서 선도로봇의 위치인식)

  • Sanjaakhand, Battuya;Jang, Moon-Suk;Cha, Dong-Hyuk
    • Journal of IKEEE
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    • v.24 no.1
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    • pp.275-283
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    • 2020
  • A leader-follower robot system using low cost small mobile robots has been developed. Sine the developed mobile robot is made of widely used low cost parts, it can be built easily and fastly. Characteristics of the developed sensor array composed of seven low-cost infrared(IR) distance sensors has been investigated, and a positioning algorithm of the reader robot is proposed. Through a series of experiments, it has been verified that the proposed algorithm can detect the position of the reader robot well.

A Study on the Development of an Indoor Positioning Support System for Providing Landmark Information (랜드마크 정보 제공을 위한 실내위치측위 지원 시스템 구축에 관한 연구)

  • Ock-Woo NAM;Chang-Soo SHIN;Yun-Soo CHOI
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.4
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    • pp.130-144
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    • 2023
  • Recently, various positioning technologies are being researched based on signal-based positioning and image-based positioning to obtain accurate indoor location information. Among these, various studies are being conducted on image positioning technology that determines the location of a mobile terminal using images acquired through cameras and sensor data collected as needed. For video-based positioning, a method of determining indoor location is used by matching mobile terminal photos with virtual landmark images, and for this purpose, it is necessary to build indoor spatial information about various landmarks such as billboards, vending machines, and ATM machines. In order to construct indoor spatial information on various landmarks, a panoramic image in the form of a road view and accurate 3D survey results were obtained through c 13 buildings of the Electronics and Telecommunications Research Institute(ETRI). When comparing the 3D total station final result and the terrestrial lidar panoramic image coordinates, the coordinates and distance performance were obtained within about 0.10m, confirming that accurate landmark construction for use in indoor positioning was possible. By utilizing these terrestrial lidar achievements to perform 3D landmark modeling necessary for image positioning, it was possible to more quickly model landmark information that could not be constructed only through 3D modeling using existing as-built drawings.