• Title/Summary/Keyword: Laser Range Finder

Search Result 130, Processing Time 0.028 seconds

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

  • Cha, Y.Y.;Gweon, D.G.
    • Journal of the Korean Society for Precision Engineering
    • /
    • v.12 no.8
    • /
    • pp.73-85
    • /
    • 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.

  • PDF

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

  • Kwon, Hyo-Geun;Chun, Young-Seok;Suh, Young-Soo;Ro, Young-Shick
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.56 no.5
    • /
    • pp.973-979
    • /
    • 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.

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

  • Yoo, Yoon-Kyu;Kim, Ho-Yeon;Chung, Woo-Jin;Park, Joo-Young
    • The Journal of Korea Robotics Society
    • /
    • v.6 no.1
    • /
    • pp.86-96
    • /
    • 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
    • /
    • 1989.10a
    • /
    • pp.972-978
    • /
    • 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.

  • PDF

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

  • Jang, Chul-Woong;Jung, Ki-Ho;Kong, Jung-Shik;Jang, Mun-Suk;Kwon, Oh-Sang;Lee, Eung-Hyuk
    • Proceedings of the KIEE Conference
    • /
    • 2007.10a
    • /
    • pp.317-318
    • /
    • 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.

  • PDF

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

  • Jeong, Woo-tae;Lee, Myung-Chan;Koh, Duck-joon;Cho, Hyung-suck
    • Proceedings of the Korean Nuclear Society Conference
    • /
    • 1996.05a
    • /
    • pp.399-404
    • /
    • 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.

  • PDF