• Title/Summary/Keyword: laser tracking systems

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Optics in China: past, present and future

  • Gan, Fuxi
    • Proceedings of the Optical Society of Korea Conference
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    • 2000.02a
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    • pp.68-68
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    • 2000
  • In this paper a very brief review of historical development of optical science and technology in China is presented. More attention has been pain on Modem Optics, which developed since 1950s. The recent development of optical science and technology in following fields are introduced. 1. Optical engineering and instrumentation (tracking theodolites, high speed cameras, satellite laser ranging systems, satellite flying attitude control, cameras for remote sensing, astronomical optical instrument) 2. Applied optics (adaptive optics, optical metrology, infrared optics, optical processing, optical holography) 3. Laser science and technology (ultrashort pulse lasers, UV-X ray lasers, high power laser facilities and laser fusion, laser isotope separation) 4. Laser and nonlinear materials (rare earth elements doped laser glasses and crystals, tunable laser crystals, borate series and organic nonlinear crystals) 5. Optoelectronic science and technology (Optical communication, optical data storage, optical computing) The current situation and developing prospect of optical and optoelectronic industry in China are presented. Furthermore it points out that the optical industry could be developed vigorously only if products development capacity is enhanced and new products industrialization is heightened. The main research and education institutions in the optics field in China, as well as the Chinese Optical Society (COS) are introduced.

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A study on robustness of automatic seam tracking system (용접선 자동추적장치의 강인성에 관한 연구)

  • 강희신;조택동;양상민
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.775-778
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    • 1996
  • In this research, the robustness of a seam tracking for the automatic welding system is studied. The laser displacement sensor is used as a seam finder. X-Y moving table drived by ac servo motor controls the position and velocity of the torch-and-sensor part. However, dc servo motor is used to control the position and velocity of the torch. The sensor locates ahead of torch to preview the weld line, and brings about the inaccuracy on the torch tracking. To enhance the robustness on this system against the influence of disturbances and model uncertainty, H$\_$.inf./ control is applied to the angular motion of torch. The simulation shows that the tracking accuracy improved significantly. Also, experimental results give a good performance of H$\_$.inf./ control strategy to the automatic seam tracking system for the welding.

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Analyzing Human's Motion Pattern Using Sensor Fusion in Complex Spatial Environments (복잡행동환경에서의 센서융합기반 행동패턴 분석)

  • Tark, Han-Ho;Jin, Taeseok
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.6
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    • pp.597-602
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    • 2014
  • We propose hybrid-sensing system for human tracking. This system uses laser scanners and image sensors and is applicable to wide and crowded area such as hallway of university. Concretely, human tracking using laser scanners is at base and image sensors are used for human identification when laser scanners lose persons by occlusion, entering room or going up stairs. We developed the method of human identification for this system. Our method is following: 1. Best-shot images (human images which show human feature clearly) are obtained by the help of human position and direction data obtained by laser scanners. 2. Human identification is conducted by calculating the correlation between the color histograms of best-shot images. It becomes possible to conduct human identification even in crowded scenes by estimating best-shot images. In the experiment in the station, some effectiveness of this method became clear.

A seam tracking algorithm based on laser vision (레이저 카메라를 이용한 용접선의 추적)

  • Cho, Hyun-Joong;Ryu, Hyun;Oh, Se-Young
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.593-596
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    • 1996
  • A seam tracking control system with a tool position control and a camera orientation control, has been developed here. For the camera orientation contro, SOFNN was used to learn the expert control signal. The SOFNN algorithm can adjust the fuzzy set parameters and determine the fuzzy logic structure.

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Research of the Unmanned Vehicle Control and Modeling for Lane Tracking and Obstacle Avoidance

  • Kim, Sang-Gyum;Lee, Woon-Sung;Kim, Jung-Ha
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.932-937
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    • 2003
  • In this paper, we will explain about the unmanned vehicle control and modeling for combined obstacle avoidance and lane tracking. First, obstacle avoidance is considered as one of the important technologies in the unmanned vehicle. It is consisted by two parts: the first part includes the longitudinal control system for the acceleration and deceleration and the second part is the lateral control system for the steering control. Each system uses to the obstacle avoidance during the vehicle moving. Therefore, we propose the method of vehicle control, modeling and obstacle avoidance. Second, we describe a method of lane tracking by means of vision system. It is important in the unmanned vehicle and mobile robot system. In this paper, we deal with lane tracking and image processing method and it is including lane detection method, image processing algorithm and filtering method.

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A Fast Seam Tracking Algorithm for Laser Welding (레이져 용접을 위한 고속 용접선 추적 알고리즘)

  • 배재욱
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.52-55
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    • 1997
  • This paper discusses an automatic visual-servoing system, in which a laser and a CCD camera are used for imaging the pattern of joint groove. The algorithm used here is simple and robust to find out the gap width and gap center. As a consequence, the speed of algorithm is very fast and optimized. A feature of this system is that it processes only by summing the vertical line and horizontal line of screen without any image preprocessing in order to get the energy information of lines alternatively. It is practical and useful for the system requiring a fast process time of vision.

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Optical Axis Auto-adjustment of Objective Lens in Optical Disc Drives (광디스크 드라이브에서의 대물렌즈 자동광축보정)

  • Ryoo, Jung-Rae;Moon, Jung-Ho;Cho, Ju-Pil
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.6
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    • pp.558-563
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    • 2008
  • Optical axis misalignment, which represents the position deviation of the objective lens from the optical axis, is an inevitable assembly error in an optical pick-up. Since the laser power intensity varies with respect to the distance from the optical axis, the misalignment leads to variation of the laser spot power intensity, which is one of the critical factors increasing data bit-error-rate in optical disc drives. In this paper, an auto-adjustment scheme for optical axis alignment is proposed to eliminate the undesirable variation of the laser spot power intensity in optical disc drives. An envelope of the data RF signal is extracted and utilized to detect the optical axis misalignment. Then an adjustment input is added to the driving input of the tracking actuator to shift the objective lens to the optical axis. Finally, the feasibility is verified by experiments.

Application of the Laser Vision Sensor for Corrugated Type Workpiece

  • Lee, Ji-Hyoung;Kim, Jae-Gwon;Kim, Jeom-Gu;Park, In-Wan;Kim, Hyung-Shik
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.499-503
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    • 2004
  • This application-oriented paper describes an automated welding carriage system to weld a thin corrugated workpiece with welding seam tracking function. Hyundai Heavy Industries Corporation has developed an automatic welding carriage system, which utilizes pulsed plasma arc welding process for corrugated sheets. It can obtain high speed welding more than 2 times faster than traditional TIG based welding system. The aim of this development is to increase the productivity by using automatic plasma welding carriage systems, to track weld seam line using vision sensor automatically, and finally to provide a convenience to operator in order to carry out welding. In this paper a robust image processing and a distance based tracking algorithms are introduced for corrugated workpiece welding. The automatic welding carriage system is controlled by the programmable logic controller(PLC), and the automatic welding seam tracking system is controlled by the industrial personal computer(IPC) equipped with embedded OS. The system was tested at actual workpiece to show the feasibility and performance of proposed algorithm and to confirm the reliability of developed controller.

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Adaptive Multitorch Multipass SAW

  • Moon, H.S.;Beattie, R.J.
    • International Journal of Korean Welding Society
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    • v.1 no.1
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    • pp.1-6
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    • 2001
  • This paper describes several advances in sensor and process control techniques for applications in Submerged Arc Welding (SAW), which combine to give a fully automatic system capable of controlling and adapting the overall welding process. This technology has been applied in longitudinal and spiral pipe mills and in pressure vessel production.

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Line Tracking Method of AGV using Sensor Fusion (센서융합을 이용한 AGV의 라인 트레킹 방법)

  • Jung, Kyung-Hoon;Kim, Jung-Min;Park, Jung-Je;Kim, Sung-Shin;Bae, Sun-Il
    • Journal of the Korean Institute of Intelligent Systems
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    • v.20 no.1
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    • pp.54-59
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    • 2010
  • This paper present to study the guidance system as localization technique using sensor fusion and line tracking technique using virtual line for AGV(autonomous guided vehicle). An existing AGV could drive on decided line only. And representative guidance systems of such guidance system are magnet-gyro guidance and wired guidance. However, those have had the high cost of installation and maintenance, and the difficulty of system change according to variation of working environment. To solve such problems, we make the localization system which is fused with a laser navigation and gyro, encoder. The system is robust against noise, and flexible according to working environment through sensor fusion. For line tracking of laser navigation without wire guidance, we set the virtual line in program, and design the driving controller based on difference of angle and distance between AGV's position and decided virtual line. To experiment, we use the AGV which is made by ourselves, and experiment the line tracking repeatedly on same experimental environment. In result, maximum distance error between decided virtual line and AGV's position was less than 49.93mm, and we verified that the proposed system is efficient for line tracking of actual AGV.