• Proceedings of the Korean Society of Laser Processing Conference
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• 2000.06a
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• pp.39-42
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• 2000

• Proceedings of the Korean Society of Laser Processing Conference
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• 2003.05a
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• pp.35-38
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• 2003

• Proceedings of the Korean Society of Laser Processing Conference
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• 2001.05a
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• pp.75-77
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• 2001

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.5
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• pp.422-428
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• 2013

Recently, many unmanned aerial vehicle (UAV) studies have focused on small UAVs, because they are cost effective and suitable in dangerous indoor environments where human entry is limited. Map building through distance measurement is a key technology for the autonomous flight of small UAVs. In many researches for unmanned systems, distance could be measured by using laser range finders or stereo vision sensors. Even though a laser range finder provides accurate distance measurements, it has a disadvantage of high cost. Calculating the distance using a stereo vision sensor is straightforward. However, the sensor is large and heavy, which is not suitable for small UAVs with limited payload. This paper suggests a low-cost distance measurement system using a laser pointer and a monocular vision sensor. A method to measure distance using the suggested system is explained and some experiments on map building are conducted with these distance measurements. The experimental results are compared to the actual data and the reliability of the suggested system is verified.

• Proceedings of the KWS Conference
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• 1999.10a
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• pp.62-65
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• 1999

• Journal of Advanced Navigation Technology
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• v.18 no.2
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• pp.134-141
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• 2014

Mobile robots use various sensors for navigation such as wheel encoder, vision sensor, sonar, and laser sensors. Dead reckoning is used with wheel encoder, resulting in the accumulation of positioning errors. For that reason wheel encoder can not be used alone. Too much information of vision sensors leads to an increase in the number of features and complexity of perception scheme. Also Sonar sensor is not suitable for positioning because of its poor accuracy. On the other hand, laser sensor provides accurate distance information relatively. In this paper we propose to extract the angular information from the distance information of laser range finder and use the Kalman filter that match the heading and distance of the laser range finder and those of wheel encoder. For laser scanner with one feature point error may increase much when the feature point is variant or jumping to a new feature point. To solve the problem, we propose to use two feature points and show that the positioning error can be reduced much.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.349-352
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• 2007

자율 센서 네트워크에서 센서 노드가 자율 주행하기 위해서 주행 경로 상의 장애물을 회피해야 한다. 이를 위해서 저렴하고 동적인 상황에서도 효과적인 장애물 탐지 비전 센서를 구현하였다. 이 연구에서는 Structured Light방식을 이용하였으며. Structured Light로는 라인 패턴의 적외선 레이저를 사용하였고 카메라에 적외선 필터를 장착하여 빛의 효과에 둔감하게 하였다. 값과 시간에 따른 2차 Thresholding으로 노이즈를 제거하였다. 실험 결과 센서 노드를 기준으로 한 2D 좌표계에서 최대 10mm의 오차로 장애물의 X, Y좌표를 찾을 수 있었으며 비전 센서의 프로그램은 객체화 하여 센서 노드 프로그램과 연동되어 장애물의 정보를 Localize와 Map building에 사용 할 수 있도록 제공한다.

• Journal of Welding and Joining
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• v.17 no.2
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• pp.53-60
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• 1999

Conventionally, CCD camera and vision sensor using the projected pattern of light is generally used to inspect the weld bead defects. But with this method, a lot of time is needed for image preprocessing, stripe extraction and thinning, etc. In this study, laser vision sensor using the scanning beam of light is used to shorten the time required for image preprocessing. The software for deciding whether the weld bead is in proper shape or not in real time is developed. The criteria are based upon the classification of imperfections in metallic fusion welds(ISO 6520) and limits for imperfections(ISO 5817).

• Journal of the Korean Society for Precision Engineering
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• v.16 no.2 s.95
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• pp.176-182
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• 1999

This paper presents a new autonomous kinematic calibration technique by using a laser-vision sensor called "Perceptron TriCam Contour". Because the sensor measures by capturing the image of a projected laser line on the surface of the object, we set up a long, straight line of a very fine string inside the robot workspace, and then allow the sensor mounted on a robot to measure the point intersection of the line of string and the projected laser line. The point data collected by changing robot configuration and sensor measuring are constrained to on a single straght line such that the closed-loop calibration method can be applied. The obtained calibration method is simple and accurate and also suitable for on-site calibration in an industrial environment. The method is implemented using Hyundai VORG-35 for its effectiveness.

• Journal of Welding and Joining
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• v.16 no.6
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• pp.1-6
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• 1998