• Title/Summary/Keyword: 정밀위치

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Autofocusing algorithm for the Video Measuring System (VMS에서의 자동 초점 조절)

  • 한광수;최준수;김자근;백경순
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10b
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    • pp.514-516
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    • 2003
  • 고배율 렌즈를 장착한 3차원 비접촉 측정 장비에서 컴퓨터 비전을 이용한 정밀도 높은 형상의 측정을 위해서는 선명한 영상 획득을 위한 정확한 초점 위치 결정이 선행되어야 한다. 본 논문에서는 정초점 위치를 찾기 위하여 수동형 초점 조절 방법을 사용한다. 각각의 렌즈 위치에서의 입력 영상에 대해 초점 위치 추적의 척도가 되는 초점값을 변형된 LoG 방법을 이용하여 측정하고, 측정된 초점값들의 렌즈 위치에 따른 분포 곡선에 대한 가우시안 정합을 적용한 정초점 위치 검색을 통해 최적의 초점 위치를 결정하는 기법을 제안한다.

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Development of High Precision Docking Sensor for Mobile Robot (이동로봇을 위한 고정밀 도킹센서 개발)

  • Yoon, Nam-Il;Choi, Jong-Kap;Byun, Kyung-Seok
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.4
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    • pp.348-354
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    • 2011
  • Mobile robots performed various missions in various environments. In order to move to target precisely, the mobile robots need a precise position sensing system In this paper, a new high precision docking sensor is proposed. Proposed docking sensor consists of linear CCD(charge coupled device) sensor and ultrasonic sensors. The docking sensor system can measure lateral position(X), longitudinal position(Y) and angle(${\theta}$) between the sensor and flat target with simple mark. Two ultrasonic sensors measure two distances which can be converted to longitudinal position and angle. Linear CCD sensor measures lateral position using center mark of the target. To verify performance of the sensor, the sensor is applied to an omnidirectional mobile robot. Several experimental results show highly precise performance of the sensor. Repeatability of the docking sensor is less than 1mm and $0.2^{\circ}$. Proposed docking sensor can be applied for precise docking of mobile robot.

An Evaluation of the Accuracy of the Vertical Positioning by Distance Using Network RTK-GPS (Network RTK-GPS를 이용한 거리별 수직위치결정의 정확성 평가)

  • Mun, Du-Yeoul;Lee, Sung-Su;Kim, Myeong-Soo;Shin, Sang-Ho;Baek, Tae-Kyung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.16 no.4
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    • pp.54-63
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    • 2013
  • In this paper, we evaluate the accuracy of the vertical positioning by distance using Network RTK-GPS. The experimental results confirm that Network RTK-GPS method can acquire data quickly and accurately than conventional leveling methods so that the Network RTK-GPS method is a relatively efficient and economical way for the vertical positioning. Results of validation using permanent GPS stations indicate that visible satellites, PDOP, and VDOP are very good for the vertical positioning. Integrated reference points such as U0997 and U0921 are satisfied with 3 ratings in the rules of public leveling and all the rest are proved improper. When the vertical positioning using Network RTK-GPS is implemented, the geoid height of EGM2008 should be applied for leveling. If the number of geodetic satellite are increasing in the near future, the vertical positioning using Network RTK-GPS can be possible in all the range.

Improvement of Positioning Accuracy of Laser Navigation System using Particle Filter (파티클 필터를 이용한 레이저 내비게이션의 위치측정 성능 향상)

  • Cho, Hyun-Hak;Kim, Jung-Min;Do, Joo-Cheol;Kim, Sung-Shin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.6
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    • pp.755-760
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    • 2011
  • This paper presents a method for improving the positioning accuracy of the laser navigation. As a wireless navigation system, the laser navigation which is more flexible than a wired guidance system is used for the localization and control of an AGV(automatic guided vehicle). However, the laser navigation causes the large positioning error while the AGV turns or moves fast. To solve the problem, we propose the method for improving the positioning accuracy of the laser navigation using particle filter which has robust and reliable performance in non-linear/non-gaussian systems. For the experiment, we use the actual fork-type AGV. The AGV has a gyro, two encoders and a laser navigation. To verify the performance, the proposed method is compared with the laser navigation which is a product. In the experimental result, we verified that the proposed method could improve the positioning accuracy by approximately 66.5%.