• 제목/요약/키워드: Laser range finder

검색결과 130건 처리시간 0.027초

레이저 슬릿을 사용하는 능동거리 센서의 정확한 3D 데이터 추출 알고리즘 (An Exact 3D Data Extraction Algorithm For Active Range Sensor using Laser Slit)

  • 차영엽;권대갑
    • 한국정밀공학회지
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    • 제12권8호
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    • pp.73-85
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    • 1995
  • The sensor system to measure the distance precisely from the center of the sensor system to the obstacle is needed to recognize the surrounding environments, and the sensor system is to be calibrated thoroughly to get the range information exactly. This study covers the calibration of the active range sensor which consists of camera and laser slit emitting device, and provides the equations to get the 3D range data. This can be possible by obtaining the extrinsic parameters of laser slit emitting device through image processing the slits measured during the constant distance intervals and the intrinsic parameters from the calibration of camera. The 3D range data equation derived from the simple geometric assumptions is proved to be applicable to the general cases using the calibration parameters. Also the exact 3D range data were obtained to the object from the real experiment.

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레이저 비전을 이용한 3차원 측정 시스템 구현 (Development of a 3-Dimensional Measurement System using Laser Vision)

  • 권효근;천영석;서영수;노영식
    • 전기학회논문지
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    • 제56권5호
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    • pp.973-979
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    • 2007
  • A laser vision system is developed to measure the three-dimensional feature of an object. This system consists of two low cost cameras and a cross laser. One camera and a cross laser are used to measure a plane equation of an object. Using this information, the other camera measures a hole size of an object. The proposed system provides 0.05 mm accuracy measurement systems with relatively low cost.

단일레이저거리센서를 탑재한 실내용이동서비스로봇의 사람추종 (Human following of Indoor mobile service robots with a Laser Range Finder)

  • 유윤규;김호연;정우진;박주영
    • 로봇학회논문지
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    • 제6권1호
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    • pp.86-96
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    • 2011
  • The human-following is one of the significant procedure in human-friendly navigation of mobile robots. There are many approaches of human-following technology. Many approaches have adopted various multiple sensors such as vision system and Laser Range Finder (LRF). In this paper, we propose detection and tracking approaches for human legs by the use of a single LRF. We extract four simple attributes of human legs. To define the boundary of extracted attributes mathematically, we used a Support Vector Data Description (SVDD) scheme. We establish an efficient leg-tracking scheme by exploiting a human walking model to achieve robust tracking under occlusions. The proposed approaches were successfully verified through various experiments.

Compact and precision range finder using self-mixing semiconductor laser

  • Shinohara, Shigenobu;Andou, Minoru;Yoshida, Hirofumi;Ikeda, Hiroaki;Miyata, Masafumi;Yoshida, Jun-Ichi;Nishide, Ken-Ichi;Sumi, Masao
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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    • pp.972-978
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    • 1989
  • Proposed is improved compact self-mixing type semiconductor-laser range finder, which measures mode-hop time interval (MHI). Measurement error caused by the fluctuation of MHI is greatly reduced by averaging many contiguous MHI's. The main cause of measurement error 1.5% at ranges from 0.1m to 0.8m is attributed to the optical phase change of a returned light from a focusing lens. Accuracy improvement by stabilization of the returned light is suggested.

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이동로봇의 위치추정 성능개선을 위한 센서융합기법에 관한 연구 (A Study on the Sensor Fusion Method to Improve Localization of a Mobile Robot)

  • 장철웅;정기호;공정식;장문석;권오상;이응혁
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.317-318
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    • 2007
  • One of the important factors of the autonomous mobile robot is to build a map for surround environment and estimate its localization. This paper suggests a sensor fusion method of laser range finder and monocular vision sensor for the simultaneous localization and map building. The robot observes the comer points in the environment as features using the laser range finder, and extracts the SIFT algorithm with the monocular vision sensor. We verify the improved localization performance of the mobile robot from the experiment.

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A Non-contact Shape Measuring System Using an Artificial Neural Network

  • Jeong, Woo-tae;Lee, Myung-Chan;Koh, Duck-joon;Cho, Hyung-suck
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1996년도 춘계학술발표회논문집(1)
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    • pp.399-404
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    • 1996
  • We developed a non-contact shape measuring device using computer image processing technology. We present a method of calibrating a CCD video camera and a laser range finder which is the most important step toward making an accurate shape measuring system. An artificial neural network is used for the calibration. Our measurement system is composed of a semiconductor laser. a CCD video camera, a personal computer, and a linear motion table. We think that the developed system could be used for measuring the change in shape of the spent nuclear fuel rod before and after irradiation which is one of the most important tasks for developing a better nuclear fuel. A radiation shield is suggested for the possible utilization of the range finder in radioactive environment.

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